SlideShare ist ein Scribd-Unternehmen logo
1 von 43
Delhi 2050 Workshop, Delhi, 30 Jan – 3 Feb 2012


Assessment of Urban Heat Island Effect in
            Megacity Delhi




                  Manju Mohan,
                     Professor
         Centre for Atmospheric Sciences
       Indian Institute of Technology, Delhi
                        India
            mmohan6@hotmail.com
                       1
Urban Heat Island: Introduction
• The urban heat island effect is defined as any urban area which has a
  tendency to be warmer than a surrounding rural/lesser developed
  area.
• Some of the earliest incidences of urban heat island effect were
  observed in late nineteenth century in cities such as London , Paris,
  Berlin and other European cities which were major centers of
  industrial activity.
• Today, the phenomenon of urban heat island is an existent issue of
  concern in many cities of both developed and developing nations of
  the world.




 Prof. Manju Mohan, IIT Delhi   2     Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Classical representation of temperature profile of an urban area




Prof. Manju Mohan, IIT Delhi   3       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Heat Island Effect: Causes
• Absorption of heat by urban infrastructure
   – Urban areas are characterised by concrete surfaces, high rise
     buildings and dense human as well as vehicular population.
   – Man made structures such as roads absorb solar radiation during
     the day resulting in increase of temperature of those surfaces and
     the air in contact with them.
   – As the day progresses, a dome of warm air forms over the urban
     areas.
   – After the sun sets, the buildings form a canopy structure
     preventing the heat loss to the upper atmosphere. Thus
     temperatures remain elevated, and so the heat island effect
     persists during the night as well.

 Prof. Manju Mohan, IIT Delhi   4     Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Heat Island Effect: Causes
• Lack of vegetation surface
   – Vegetated surfaces provide moisture for evaporation. Thus lack of
     moisture restricts heat dissipation.




 Prof. Manju Mohan, IIT Delhi   5    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Heat Island Effect: Causes

•     Apart from changes in LULC, Anthropogenic Heat adds to the urban
     heat island effect.


      – Heat released by electrical equipments and air conditioners, and
        heating systems
      – heat released by vehicle exhaust




    Prof. Manju Mohan, IIT Delhi   6       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Urban Heat Island Effect in Delhi




Prof. Manju Mohan, IIT Delhi   7   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Introduction

• Delhi, the capital city of India, has witnessed a consistent
  decennial population growth at the rate of over 45 % for last six
  decades.
• The corresponding urban infrastructure development is steadily
  increasing the resource dependency and anthropogenic heat
  emissions.
• Most of the studies on UHI in Delhi were conducted in 1980’s and
  thus there exists a dearth of recent studies regarding urban
  climatological assessment in Delhi.



Prof. Manju Mohan, IIT Delhi       8   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Land Cover Changes in Delhi: 1997-2008*




Land Cover changes for different classes from 1997-2008 (Sq. km in Total area)



                                                      *Mohan et al, JEP, 2011

 Prof. Manju Mohan, IIT Delhi             Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Land Cover Changes in Delhi: 1997-2008*
• An overall net increase of 251.18 km2 (16.87 %) in built–up area has
  been observed in last decade.


• On the other hand there is a decrease in agricultural area of 146.75
  km2 by combining the decrease in crop and fallow land.
• There is another significant decrease in wasteland by 80.62 km2 by
  combining scrub-land and sandy areas.


• Area covered by water bodies reduced from 58.26 km2 in 1997 to
  27.43 km2 in 2008 which is about 52.9% decrease in a ten year period.

                                                  *Mohan et al, JEP, 2011

 Prof. Manju Mohan, IIT Delhi   10    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Land Cover Changes in Delhi: 1997-2008 contd..

• Thus increase in built-up area in the city has been on the expense of
  majorly from the agricultural and waste land together with the
  shrinking water bodies.


• As the city developed, the built-up category replaced most of the land
  classes like sandy areas, fallow land and scrub land. The changes in LU-
  LC classes are more from population pressure as the population
  growth is very high in Delhi.




 Prof. Manju Mohan, IIT Delhi   11      Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Temperature trends in Delhi*
• An increasing trend shows impact of urbanisation in form of increase
  in built up area.
• increasing warming trends in the night-time temperatures reflect the
  contribution of changing land-use patterns and additional
  anthropogenic heat.




                                                     *Mohan et al, JEP, 2011
 Prof. Manju Mohan, IIT Delhi         Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Temperature trends as proxy to urbanization
• The association of increasing temperatures with urbanization was
  further strengthened by the trends of differences in annual mean
  minimum temperature of the two stations within the city namely
  Safdarjung and Palam.


                                           Annual Mean Minimum
                                           Temperature difference
                                           between Safdarjung and
                                           Palam during 1968 - 2005


• During the 1968-1985, it was Safdarjung which had higher night time
  temperatures because it was more built up than Palam. After 2000,
  the two stations had almost the same annual mean minimum
  temperatures as in subsequent years Palam had also urbanized.

 Prof. Manju Mohan, IIT Delhi        Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Prof. Manju Mohan, IIT Delhi   14   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Delhi: Usual Climate Scenario

• Delhi is located at 28.61 °N and 77.23 °E at mean sea level of 216 m.


• With a population of 22.4 million and daily influx of about 665
  people, the city and its surrounding areas form fourth largest urban
  agglomeration in the world.


• Delhi has four distinct seasons namely:
   - Summer (March, April, May and June),
   - Monsoon (July, August and first half of September),
   - Post Monsoon (October, November) and
   - Winter (December-February).

Prof. Manju Mohan, IIT Delhi      15   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Study Area Network of Delhi (contd..)
• The national capital territory of Delhi covering an area of 32 x 32 km
  was chosen as the study area as shown in Figure
• The entire area is divided in 16 major grid cells of 8 x 8 km where at
  least one ground level station was allocated.
• Some of the grids with different land-use type had more than one
  station so as to get a representation of the terrains therein.
• The locations and LULC categories of these stations is depicted in
  Figure 1.
• LULC categories used for location of measurement sites can broadly be
  classified into Urban Built Up areas, Green Areas, Open Areas and
  Riverside categories.


 Prof. Manju Mohan, IIT Delhi   16     Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Layout of field measurement points their LULC category in the study area
  Prof. Manju Mohan, IIT Delhi   17        Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Classified Image of Study Domain
Prof. Manju Mohan, IIT Delhi   18     Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Study Area Network of Delhi (contd..)

• In all, 30 sites (including 3 weather stations and 27 surface
  micrometeorological stations) were chosen throughout the city so
  as to represent a wide variety of land use/land cover categories.


• Temperature and humidity measuring instruments were installed
  at the micrometeorological stations and weather stations were
  installed at the rooftop and were equipped with instruments used
  for recording wind speed and direction, dry bulb temperature,
  relative humidity, atmospheric pressure and direct solar radiation.




Prof. Manju Mohan, IIT Delhi   19    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Site Classification


Built Up Area
                       Green Cover        Open Area                 Riverside

    Dense Urban
      Canopy             Medium
                          Dense
   Medium Dense Canopy-1 Forests
   [MDUC I]
   Medium Dense Canopy- 2
   [MDUC II]



      Less Dense            Parks and
        Canopy               Gardens



Prof. Manju Mohan, IIT Delhi        20   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
BUILT UP AREAS
Dense Urban Canopy                                         GREEN AREAS
    •Sitaram Bazar (30)
                                                         Medium Dense Forests
    •Bhikaji Cama (7)
Medium Dense Urban Canopy                                  •Sanjay Van (24)
    •Dwarka (6) : MDUC-I
                                                         Parks & Gardens
    •Lajpat Nagar (9) : MDUC-I
                                                             •Hauz Khas Distt Park (28)
    •Noida Sec-19 (10 )
                                                             •Buddha Jayanti Park (8)
    • Janakpuri (12)-MDUC-I
    •CP (14): MDUC-I
    •Kaushambi(16): MDUC-I                 Micro-               OPEN AREAS
    •Rohini (17) :MDUC-I                Meteorological
    •Adarsh Nagar(19): MDUC-I                                    •IIT (2)
    •Civil Lines (20): MDUC-I              Stations              •Loni2 (23)
    •Neb Sarai (4): MDUC-II                                      •JNU
    •Moti Nagar (13) : MDUC-II
    •Vasant Kunj (24): MDUC-II
    •Chirag Delhi (26) : MDUC-II                         RIVERSIDE AREAS
    •Yusuf Sarai (29): MDUC-II
Less Dense Urban Canopy                                  •Majnu Ka Tila (11)
    •Gurgaon,Sec-23(1)                                    •Sailing Club, Jamia Nagar (21)
    •IIT (2)

  Prof. Manju Mohan, IIT Delhi     21          Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Data Collection and Experiment Description

(Indo-Japanese Cooperative Study: IITD, IITR and Meisei University,
                            Japan)*




                                *Mohan et al, ICUC-7, Yokohama, Japan, 2009

 Prof. Manju Mohan, IIT Delhi   22       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Experiment Description
•    Field experiments were carried out during 25-28 May 2008 and were named
     as DELHI-I.
•    The month of May is a typical summer month in Delhi.
•    Temperature and humidity measuring instruments were fixed at all
     micrometeorological stations. The instruments were installed at a height of
     about 1.5 m from the ground level such that the ‘immediate’ surroundings of
     the instrument were open and not obstructed by any tree or building.
•    These instruments were set facing the South Direction to receive the solar
     insolation for maximum duration of the day.
•    In addition, 3 weather stations at the rooftop level (15m approximately)
     measured wind speed and direction, dry bulb temperature, atmospheric
     pressure, and global solar radiation.


    Prof. Manju Mohan, IIT Delhi   23       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Setting Up of Weather Stations




                                                  Calibration Phase




                                                  Calibration Set-Up of
                                                  Micrometeorological
                                                       Instruments



Prof. Manju Mohan, IIT Delhi   24   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Weather Station installed at a roof

Prof. Manju Mohan, IIT Delhi     25          Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Setting Up of Micrometeorological Instrument at Site

Prof. Manju Mohan, IIT Delhi   26      Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Loni- Open Area




Sitaram Bazar- Dense Urban Canopy




 Prof. Manju Mohan, IIT Delhi       27   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Green Areas




                                                    Buddha Jayanti Park
     Hauz Khas Distt Park
                                                    Natural Green Area
Natural + Cultivated Green Area
                                                   (Medium Dense Forest)
  Prof. Manju Mohan, IIT Delhi      28      Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Sailing Club (River Bank)




                                          Riverside Areas




                               Majnu Ka Tila (Near River Bank)



                 29
Prof. Manju Mohan, IIT Delhi     Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Weather Conditions during the Field Campaign



            Parameter                  DELHI-I (25-28 May 2008)
            Maximum Temperature        33.4 °C -37.2 °C
            Minimum Temperature        19.6 °C -23.9 °C
            Wind Speed                 0-3.6 ms-1
            Wind Direction             WNW to SW
            Rainfall Events            25 May, 26 May




Prof. Manju Mohan, IIT Delhi      30       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Results: UHI Intensities in DELHI-I (May 2008)
• The dense commercial zone of Cannaught Place-Sitaram Bazar
  observes higher temperatures on all experimental days.
• The heat island effect develops in the order of Cannaught Place-
  Sitaram Bazar zone > Bhikaji Cama zone> Janakpuri Zone.
• The maximum UHI intensity of 8.3 °C was observed at Sitaram Bazar.
• All green areas (IIT-Hauz Khas-Sanjay Van and Buddha Jayanti Park)
  fall under cooler pockets on all the days.
• Overall heat island intensity has been found to increase from 25th
  May to 28th May.
• The riverside areas experience higher temperatures than green areas
  but lower than those of urban canopies in vicinity.


 Prof. Manju Mohan, IIT Delhi   31    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
32                                                                                                                                                                           32

           30                                                                                                                                                                           30
                                                                                                         22                                                                                                                                                                      22
           28

                                                         19
                                                                                                              23
                                                                                                                                                                 Riverside              28

                                                                                                                                                                                                                                      19
                                                                                                                                                                                                                                                                                      23

                                17                                                                                                                                                                           17
                                                                                                                                                                   Areas
           26                                                                                                                                                                           26
                                                                               20                                                            4                                                                                                         20                                                            4
                                                                                                                                                                                                                                                                                                                     4
                                                                                                                                                                                                                                                                                                                         .2

           24                                                                        21                                                                                                 24                                                                   21                                                      3   .8


                                                                                                                                                            26        27
                                                                                                                                             3 .6                                                                                                                                                                    3   .6
           22                                                                                                                                                                           22                                                                                                                           3   .4
                                                                                                                                             3 .2                                                                                                                                                                    3   .2
                                                  13                                                                                                                                                                           13
                                                                                                                                                            M         M
           20                                                                                                                                                                           20                                                                                                                           3
                                                                                                                                             2 .8                                                                                                                                                                    2   .8
           18                                                                         30                       16                                                                       18                                                                    30                      16                             2   .6

                                 12                                              14
                                                                                                                                             2 .4
                                                                                                                                                            A         A                                       12                                         14
                                                                                                                                                                                                                                                                                                                     2   .4
Y (k m )




                                                                                                                                                                             Y (k m )
           16                                                                                                                                                                           16                                                                                                                           2   .2
                                                             8                                                                               2
                                                                                                                                                                                                                                          8                                                                          2
           14
                                                                                                                                             1 .6           Y         Y                 14                                                                                                                           1
                                                                                                                                                                                                                                                                                                                     1
                                                                                                                                                                                                                                                                                                                         .8
                                                                                                                                                                                                                                                                                                                         .6
           12
                    6                                                                                                                                                                   12
                                                                                                                                                                                                 6                                                                                                                   1   .4


                                                                                                                                                             Dense
                                                                                                                                             1 .2                                                                                                                                                                    1   .2
                                                                                                                   10                                                                                                                                                                      10
                                                                   7                                                                                                                                                                          7
           10                                                                                                                                                                           10                                                                                                                           1
                                                                               29          9             11                                  0 .8                                                                                                       29         9             11                                  0   .8
            8                                                          28
                                                                        2
                                                                                      26
                                                                                                                                             0 .4          Commercial                    8                                                        28
                                                                                                                                                                                                                                                   2
                                                                                                                                                                                                                                                             26
                                                                                                                                                                                                                                                                                                                     0
                                                                                                                                                                                                                                                                                                                     0
                                                                                                                                                                                                                                                                                                                         .6
                                                                                                                                                                                                                                                                                                                         .4
                                                             25
                                                                                                                                                             Areas                                                                        25
            6                                                                                                                                                                            6                                                                                                                           0   .2
                                                  24                                                     27
                                                                                                                                             0                                                                                 24                                                27                                  0
            4                                                                                                                     T e m p e ra tu re                                     4                                                                                                                T e m p e ra tu re
                        1                                                  4
                                                                                                                                        ( C)                                                         1                                              4
                                                                                                                                                                                                                                                                                                                 ( C)
            2                                                                                                                                                                            2


                2           4        6   8   10    12   14            16        18    20       22   24   26   28        30   32                                                              2           4        6   8   10    12   14        16       18    20       22   24   26   28        30   32


           32
                                                                 X (k m )
                                                                                                                                                           UHI contours                 32
                                                                                                                                                                                                                                          X (k m )


           30
                                                                                                         22
                                                                                                              23
                                                                                                                                                            (DELHI-I,                   30
                                                                                                                                                                                                                                                                                 22
                                                                                                                                                                                                                                                                                      23
                                                                                                                                                            May 2008)
           28                                                                                                                                                                           28

           26                   17                       19                                                                                                                             26                   17                       19
                                                                            20                                                                                                                                                                         20
                                                                                                                                                             3:00 am
                                                                                                                                                    4 .6                                                                                                                                                             5 .6
           24                                                                        21                                                                                                 24                                                                   21                                                      5 .2
                                                                                                                                                    4 .2
           22                                                                                                                                                                                                                                                                                                        4 .8
                                                                                                                                                                                        22
                                                                                                                                                    3 .8
                                                                                                                                                                                                                                                                                                                     4 .4
                                                  13                                                                                                                                                                           13
           20

           18                                                                         30                      16
                                                                                                                                                    3 .4

                                                                                                                                                    3
                                                                                                                                                            28         29               20

                                                                                                                                                                                        18                                                                    30                      16
                                                                                                                                                                                                                                                                                                                     4
                                                                                                                                                                                                                                                                                                                     3 .6

                                 12                                              14                                                                         M          M                                      12
Y (k m )




                                                                                                                                                                                                                                                         14

                                                                                                                                                                             Y (k m )
                                                                                                                                                                                                                                                                                                                     3 .2
           16                                                                                                                                       2 .6                                16
                                                             8                                                                                                                                                                            8
                                                                                                                                                                                                                                                                                                                     2 .8
           14                                                                                                                                       2 .2

                                                                                                                                                    1 .8
                                                                                                                                                            A          A                14                                                                                                                           2 .4
                                                                                                                                                                                                                                                                                                                     2
                    6
                                                                                                                                                                       Y
           12
                                                                                                                                                                                                 6
                                                                                                                                                            Y
                                                                                                                                                                                        12
                                                                                                                                                                                                                                                                                                                     1 .6
                                                                                                                   10                               1 .4
                                                                                                                                                                                                                                                                                           10
           10
                                                                  7                                                                                                                     10
                                                                                                                                                                                                                                              7
                                                                               29          9             11
                                                                                                                                                           Green
                                                                                                                                                                                                                                                                                                                     1 .2
                                                                                                                                                    1                                                                                                   29         9             11
            8                                                          28                                                                                                                8                                                        28                                                                 0 .8
                                                                        2                                                                           0 .6
                                                                                                                                                                                                                                                   2
                                                                                     26
                                                                                                                                                           Areas                                                                                             26
                                                                                                                                                                                                                                                                                                                     0 .4
            6                                                25                                                                                                                          6                                                25
                                                  24                                                     27                                         0 .2
                                                                                                                                                                                                                               24                                                27                                  0
            4                                                                                                                     T e m p e ra tu re                                     4                                                                                                                T e m p e ra tu re
                        1                                                  4
                                                                                                                                        ( C)
                                                                                                                                                                                                     1                                                                                                          ( C)
            2                                                                                                                                                                            2
                                                                                                                                                                                                                                                    4

                                 32
                Prof. Manju Mohan, IIT Delhi
                2           4        6   8   10    12   14         16
                                                             X (k m )
                                                                               18     20       22   24   26   28        30   32
                                                                                                                                                                       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
                                                                                                                                                                                             2           4        6   8   10    12   14        16
                                                                                                                                                                                                                                          X (k m )
                                                                                                                                                                                                                                                        18    20       22   24   26   28        30   32
Summary Table of Maximum UHI (°C) in DELHI-I Experiments

           Date     Time       3:00 am   9:00 am   3:00 pm     9:00 pm
           25 May 2008             -        4.6       6.3         2.8
           26 May 2008            4.1       6.4       3.8         5.1
           27 May 2008            4.2       5.1       7.6         4.2
           28 May 2008            4.6       5.3       6.7         8.3
           29 May 2008            5.6        -         -           -




Prof. Manju Mohan, IIT Delhi       33       Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
The Indian Express, 25 September, 2009


Prof. Manju Mohan, IIT Delhi   34   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Prof. Manju Mohan, IIT Delhi   35   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
The Hindustan Times,
     26 September, 2009




36
37
Comparison with other international megacities

• Table 1 shows compilation of some reported UHIs in major cities of
  the world based on various field observations.
• The average maximum daily UHI observed in DELHI-I measurements is
  comparable to other cities like London, Beijing and Tokyo indicating
  that urban heat island phenomenon in Delhi is of significant
  importance as in other megacities of the world.
• With increasing urbanization, stronger heat island intensities are
  expected to be observed here.




 Prof. Manju Mohan, IIT Delhi   38    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Table 1: UHI of some major megacites of the world
                Heat Island                                      Remarks
   City                                   Source
                 Intensity
              Maximum: 5.4°C                              UHI in summer 2002
New York                             Gaffin et al (2008)
                Mean: ~3°C
              Maximum: 6°C           Sarkar and Ridder    12 Day experiment in
  Paris
               Mean: 2.56°C               (2011)               June 2006
                                                            Maximum UHI in
 London             8-9 °C               GLA (2006)        summer 2003 heat
                                                              wave episode
                                       Wang and Hu        Maximum UHI in July
 Beijing            7.9 °C
                                           (2006)                 2002
              Maximum: 8.1° C                            Nocturnal UHI in March
  Tokyo                              Saitoh et al (1996)
               Mean: 5.3° C                                       1992
              Maximum 8.2 °C                                25-28 May 2008
  Delhi                                   DELHI-I
               Mean: 4.7 °C



Prof. Manju Mohan, IIT Delhi    39           Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Urban Heat Islands: Impacts
• Increased energy consumption:
   – Higher temperatures in summer increase energy demand for
     cooling and add pressure to the electricity grid during peak periods
     of demand.
• Compromised human health and comfort
   – Warmer days and nights, along with higher air pollution levels, can
     contribute to general discomfort, respiratory difficulties, heat
     cramps and exhaustion, non-fatal heat stroke, and heat-related
     mortality.
• Elevated emissions of air pollutants and greenhouse gases
   – Increasing energy demand generally results in greater emissions of
     air pollutants and greenhouse gas emissions from power plants.
     Higher air temperatures also promote the formation of ground-
     level ozone.
 Prof. Manju Mohan, IIT Delhi   40     Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Conclusions
• The urban heat island effect is prevalent in Delhi and its magnitude
  has been observed to be of the order of about 8°C.
• Maximum UHI was observed at dense residential and commercial area
  of Sitaram Bazar during nighttime. Other stations with highest UHI
  were Bhikaji Cama, Connaught Place, and Noida.
• Comparison with maximum and average UHI of other cities of the
  world revealed that UHI in Delhi is comparable to other major cities of
  the world such as London, Tokyo and Beijing.
• More field campaigns at higher spatial resolution and longer duration
  along with satellite data would provide greater insight .




 Prof. Manju Mohan, IIT Delhi    41    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
Prof. Manju Mohan, IIT Delhi   42   Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
References
• Mohan M, Pathan SK, Kolli NR, Kandya A, Pandey S. (2011) Dynamics
  of Urbanization and Its Impact on Land-Use/Land-Cover: A Case Study
  of Megacity Delhi, J Environ Prot 2: 1274-1283
• Mohan M, Kandya A, Battiprolu A (2011) Urban Heat Island Effect
  over National Capital Region of India: A Study using the Temperature
  Trends. J Environ Prot 2:465-472.
• Mohan M, Kikegawa Y, Gurjar BR, Bhati S, Kandya A, Ogawa K (2009)
  Assessment of Urban Heat Islands Intensities over Delhi. The Seventh
  International Conference on Urban Climate (ICUC-7), June 2009,
  Japan.




 Prof. Manju Mohan, IIT Delhi    43    Delhi 2050 Workshop, 30 Jan – 3 Feb 2012

Weitere ähnliche Inhalte

Was ist angesagt?

Designing for different climatic zones in India
Designing for different climatic zones in IndiaDesigning for different climatic zones in India
Designing for different climatic zones in IndiaGwahyulo Semy
 
Case study on passive cooling and heating
Case study on passive cooling and heatingCase study on passive cooling and heating
Case study on passive cooling and heatingShubhamJangra15
 
Sustainable Cities: Urban Heat Island Effect
Sustainable Cities: Urban Heat Island EffectSustainable Cities: Urban Heat Island Effect
Sustainable Cities: Urban Heat Island EffectAnuradha Mukherji
 
Macroclimate microclimate
Macroclimate microclimateMacroclimate microclimate
Macroclimate microclimateIDEAS, Nagpur
 
Heat exchange process in a building
Heat exchange process in a buildingHeat exchange process in a building
Heat exchange process in a buildingRoopa Chikkalgi
 
Lecture 3 bioclimatic comfort
Lecture 3   bioclimatic comfortLecture 3   bioclimatic comfort
Lecture 3 bioclimatic comfortBekark
 
Macro and micro climate
Macro and micro climateMacro and micro climate
Macro and micro climateRameez Gazi
 
Green Buildings-passive heating techniques
Green Buildings-passive heating techniquesGreen Buildings-passive heating techniques
Green Buildings-passive heating techniquesctlachu
 
4. Thermal comfort
4. Thermal comfort4. Thermal comfort
4. Thermal comfortRohit Kumar
 
Lecture 3 heat transfer in buildings
Lecture 3 heat transfer in buildingsLecture 3 heat transfer in buildings
Lecture 3 heat transfer in buildingsNedhal Al-Tamimi
 
Energy (Energy Conscious Architecture)
Energy (Energy Conscious Architecture)Energy (Energy Conscious Architecture)
Energy (Energy Conscious Architecture)Aariz Razdan
 
Thermal comfort and climate.pptx11 (1)
Thermal comfort and climate.pptx11 (1)Thermal comfort and climate.pptx11 (1)
Thermal comfort and climate.pptx11 (1)Muhammad Muhyuddin
 

Was ist angesagt? (20)

Designing for different climatic zones in India
Designing for different climatic zones in IndiaDesigning for different climatic zones in India
Designing for different climatic zones in India
 
Case study on passive cooling and heating
Case study on passive cooling and heatingCase study on passive cooling and heating
Case study on passive cooling and heating
 
climatic zones in india
 climatic zones in india climatic zones in india
climatic zones in india
 
Sustainable Cities: Urban Heat Island Effect
Sustainable Cities: Urban Heat Island EffectSustainable Cities: Urban Heat Island Effect
Sustainable Cities: Urban Heat Island Effect
 
Macroclimate microclimate
Macroclimate microclimateMacroclimate microclimate
Macroclimate microclimate
 
Heat exchange process in a building
Heat exchange process in a buildingHeat exchange process in a building
Heat exchange process in a building
 
Urban Heat Islands
Urban Heat IslandsUrban Heat Islands
Urban Heat Islands
 
Macro and micro climate
Macro and micro climateMacro and micro climate
Macro and micro climate
 
Lecture 3 bioclimatic comfort
Lecture 3   bioclimatic comfortLecture 3   bioclimatic comfort
Lecture 3 bioclimatic comfort
 
Composite climate
Composite climateComposite climate
Composite climate
 
Macro and micro climate
Macro and micro climateMacro and micro climate
Macro and micro climate
 
Green Buildings-passive heating techniques
Green Buildings-passive heating techniquesGreen Buildings-passive heating techniques
Green Buildings-passive heating techniques
 
4. Thermal comfort
4. Thermal comfort4. Thermal comfort
4. Thermal comfort
 
Microclimate
MicroclimateMicroclimate
Microclimate
 
Leed
Leed Leed
Leed
 
Lecture 3 heat transfer in buildings
Lecture 3 heat transfer in buildingsLecture 3 heat transfer in buildings
Lecture 3 heat transfer in buildings
 
Energy (Energy Conscious Architecture)
Energy (Energy Conscious Architecture)Energy (Energy Conscious Architecture)
Energy (Energy Conscious Architecture)
 
Case study of Jaipur city
Case study  of Jaipur cityCase study  of Jaipur city
Case study of Jaipur city
 
Vernacular arch and its adaptation in modern construction.
Vernacular arch and its adaptation in modern construction.Vernacular arch and its adaptation in modern construction.
Vernacular arch and its adaptation in modern construction.
 
Thermal comfort and climate.pptx11 (1)
Thermal comfort and climate.pptx11 (1)Thermal comfort and climate.pptx11 (1)
Thermal comfort and climate.pptx11 (1)
 

Ähnlich wie Urban heat islands

13. sandesh yadav, haseena hashia and shams perwaiz
13. sandesh yadav, haseena hashia and shams perwaiz13. sandesh yadav, haseena hashia and shams perwaiz
13. sandesh yadav, haseena hashia and shams perwaizJournal of Global Resources
 
SPA, Delhi Case Study
SPA, Delhi Case StudySPA, Delhi Case Study
SPA, Delhi Case StudyKAndrew01
 
Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...
Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...
Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...Pratish Rawat
 
Songdo, City of the Future
Songdo, City of the FutureSongdo, City of the Future
Songdo, City of the FutureSoleiman
 
Case study college of architecture
Case study college of architecture Case study college of architecture
Case study college of architecture Abhijeet Roy
 
Low enrgy buildings as trend setters
Low enrgy buildings as trend settersLow enrgy buildings as trend setters
Low enrgy buildings as trend setterssabnisajit
 
Green Building Effect in Commercial Building
Green Building Effect in Commercial Building Green Building Effect in Commercial Building
Green Building Effect in Commercial Building vivatechijri
 
Reliability Study of Punching Shear Design of Column-Slab Connection accordin...
Reliability Study of Punching Shear Design of Column-Slab Connection accordin...Reliability Study of Punching Shear Design of Column-Slab Connection accordin...
Reliability Study of Punching Shear Design of Column-Slab Connection accordin...IRJET Journal
 
A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...
A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...
A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...IRJET Journal
 
IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”
IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”
IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”IRJET Journal
 
DhanapalUrbanClimate.pdf
DhanapalUrbanClimate.pdfDhanapalUrbanClimate.pdf
DhanapalUrbanClimate.pdfAnkit1922
 
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIASUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIAIJERA Editor
 
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIASUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIAIJERA Editor
 
K030102074084
K030102074084K030102074084
K030102074084theijes
 
Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.
Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.
Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.IRJET Journal
 
CIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the building
CIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the buildingCIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the building
CIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the buildingINIVE EEIG
 
Seoul internationalurbandevelopmentcollaboration 20140517
Seoul internationalurbandevelopmentcollaboration 20140517Seoul internationalurbandevelopmentcollaboration 20140517
Seoul internationalurbandevelopmentcollaboration 20140517simrc
 
Impact of Building Envelope Modification on Energy Performance of High-Rise A...
Impact of Building Envelope Modification on Energy Performance of High-Rise A...Impact of Building Envelope Modification on Energy Performance of High-Rise A...
Impact of Building Envelope Modification on Energy Performance of High-Rise A...drboon
 
The Urban Heat Island in Kathmandu from 2000 to 2016
The Urban Heat Island in Kathmandu from 2000 to 2016The Urban Heat Island in Kathmandu from 2000 to 2016
The Urban Heat Island in Kathmandu from 2000 to 2016Bijesh Mishra
 

Ähnlich wie Urban heat islands (20)

13. sandesh yadav, haseena hashia and shams perwaiz
13. sandesh yadav, haseena hashia and shams perwaiz13. sandesh yadav, haseena hashia and shams perwaiz
13. sandesh yadav, haseena hashia and shams perwaiz
 
SPA, Delhi Case Study
SPA, Delhi Case StudySPA, Delhi Case Study
SPA, Delhi Case Study
 
Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...
Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...
Opportunities for Energy Conservation in Residential Buildings of Bhopal: A C...
 
Songdo, City of the Future
Songdo, City of the FutureSongdo, City of the Future
Songdo, City of the Future
 
Case study college of architecture
Case study college of architecture Case study college of architecture
Case study college of architecture
 
Low enrgy buildings as trend setters
Low enrgy buildings as trend settersLow enrgy buildings as trend setters
Low enrgy buildings as trend setters
 
Green Building Effect in Commercial Building
Green Building Effect in Commercial Building Green Building Effect in Commercial Building
Green Building Effect in Commercial Building
 
Igd booklet
Igd bookletIgd booklet
Igd booklet
 
Reliability Study of Punching Shear Design of Column-Slab Connection accordin...
Reliability Study of Punching Shear Design of Column-Slab Connection accordin...Reliability Study of Punching Shear Design of Column-Slab Connection accordin...
Reliability Study of Punching Shear Design of Column-Slab Connection accordin...
 
A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...
A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...
A STUDY OF LIFE CYCLE ENERGY ASSEMENT OF A MULTI-STORIED RESIDENTIAL BUILDING...
 
IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”
IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”
IRJET- Sustainability in Architecture: Dynamic Buildings, “The Future of India”
 
DhanapalUrbanClimate.pdf
DhanapalUrbanClimate.pdfDhanapalUrbanClimate.pdf
DhanapalUrbanClimate.pdf
 
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIASUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
 
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIASUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
SUSTAINABLE BUILDINGS IN HOT AND DRY CLIMATE OF INDIA
 
K030102074084
K030102074084K030102074084
K030102074084
 
Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.
Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.
Land Cover Change of Indian Cities:A case Study of Noida and Bengaluru.
 
CIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the building
CIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the buildingCIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the building
CIB TG66 India Webinar 20120628 Mahua Mukherjee Beyond the building
 
Seoul internationalurbandevelopmentcollaboration 20140517
Seoul internationalurbandevelopmentcollaboration 20140517Seoul internationalurbandevelopmentcollaboration 20140517
Seoul internationalurbandevelopmentcollaboration 20140517
 
Impact of Building Envelope Modification on Energy Performance of High-Rise A...
Impact of Building Envelope Modification on Energy Performance of High-Rise A...Impact of Building Envelope Modification on Energy Performance of High-Rise A...
Impact of Building Envelope Modification on Energy Performance of High-Rise A...
 
The Urban Heat Island in Kathmandu from 2000 to 2016
The Urban Heat Island in Kathmandu from 2000 to 2016The Urban Heat Island in Kathmandu from 2000 to 2016
The Urban Heat Island in Kathmandu from 2000 to 2016
 

Mehr von Delhi2050

Water and Health
Water and HealthWater and Health
Water and HealthDelhi2050
 
Introduction to dwarka
Introduction to dwarkaIntroduction to dwarka
Introduction to dwarkaDelhi2050
 
Planning NCR
Planning NCRPlanning NCR
Planning NCRDelhi2050
 
Process delhi 2050
Process delhi 2050Process delhi 2050
Process delhi 2050Delhi2050
 
Slow mobility
Slow mobilitySlow mobility
Slow mobilityDelhi2050
 
Ring rail delhi
Ring rail delhiRing rail delhi
Ring rail delhiDelhi2050
 
Randstad2040
Randstad2040Randstad2040
Randstad2040Delhi2050
 
Delhi mobility vision
Delhi mobility visionDelhi mobility vision
Delhi mobility visionDelhi2050
 
water and health
water and healthwater and health
water and healthDelhi2050
 
Sustainable habitat-delhi
Sustainable habitat-delhiSustainable habitat-delhi
Sustainable habitat-delhiDelhi2050
 
Developing delhi-profit model
Developing delhi-profit modelDeveloping delhi-profit model
Developing delhi-profit modelDelhi2050
 
Spatial planning india
Spatial planning indiaSpatial planning india
Spatial planning indiaDelhi2050
 

Mehr von Delhi2050 (13)

Maps delhi
Maps delhiMaps delhi
Maps delhi
 
Water and Health
Water and HealthWater and Health
Water and Health
 
Introduction to dwarka
Introduction to dwarkaIntroduction to dwarka
Introduction to dwarka
 
Planning NCR
Planning NCRPlanning NCR
Planning NCR
 
Process delhi 2050
Process delhi 2050Process delhi 2050
Process delhi 2050
 
Slow mobility
Slow mobilitySlow mobility
Slow mobility
 
Ring rail delhi
Ring rail delhiRing rail delhi
Ring rail delhi
 
Randstad2040
Randstad2040Randstad2040
Randstad2040
 
Delhi mobility vision
Delhi mobility visionDelhi mobility vision
Delhi mobility vision
 
water and health
water and healthwater and health
water and health
 
Sustainable habitat-delhi
Sustainable habitat-delhiSustainable habitat-delhi
Sustainable habitat-delhi
 
Developing delhi-profit model
Developing delhi-profit modelDeveloping delhi-profit model
Developing delhi-profit model
 
Spatial planning india
Spatial planning indiaSpatial planning india
Spatial planning india
 

Kürzlich hochgeladen

"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 

Kürzlich hochgeladen (20)

"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 

Urban heat islands

  • 1. Delhi 2050 Workshop, Delhi, 30 Jan – 3 Feb 2012 Assessment of Urban Heat Island Effect in Megacity Delhi Manju Mohan, Professor Centre for Atmospheric Sciences Indian Institute of Technology, Delhi India mmohan6@hotmail.com 1
  • 2. Urban Heat Island: Introduction • The urban heat island effect is defined as any urban area which has a tendency to be warmer than a surrounding rural/lesser developed area. • Some of the earliest incidences of urban heat island effect were observed in late nineteenth century in cities such as London , Paris, Berlin and other European cities which were major centers of industrial activity. • Today, the phenomenon of urban heat island is an existent issue of concern in many cities of both developed and developing nations of the world. Prof. Manju Mohan, IIT Delhi 2 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 3. Classical representation of temperature profile of an urban area Prof. Manju Mohan, IIT Delhi 3 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 4. Heat Island Effect: Causes • Absorption of heat by urban infrastructure – Urban areas are characterised by concrete surfaces, high rise buildings and dense human as well as vehicular population. – Man made structures such as roads absorb solar radiation during the day resulting in increase of temperature of those surfaces and the air in contact with them. – As the day progresses, a dome of warm air forms over the urban areas. – After the sun sets, the buildings form a canopy structure preventing the heat loss to the upper atmosphere. Thus temperatures remain elevated, and so the heat island effect persists during the night as well. Prof. Manju Mohan, IIT Delhi 4 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 5. Heat Island Effect: Causes • Lack of vegetation surface – Vegetated surfaces provide moisture for evaporation. Thus lack of moisture restricts heat dissipation. Prof. Manju Mohan, IIT Delhi 5 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 6. Heat Island Effect: Causes • Apart from changes in LULC, Anthropogenic Heat adds to the urban heat island effect. – Heat released by electrical equipments and air conditioners, and heating systems – heat released by vehicle exhaust Prof. Manju Mohan, IIT Delhi 6 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 7. Urban Heat Island Effect in Delhi Prof. Manju Mohan, IIT Delhi 7 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 8. Introduction • Delhi, the capital city of India, has witnessed a consistent decennial population growth at the rate of over 45 % for last six decades. • The corresponding urban infrastructure development is steadily increasing the resource dependency and anthropogenic heat emissions. • Most of the studies on UHI in Delhi were conducted in 1980’s and thus there exists a dearth of recent studies regarding urban climatological assessment in Delhi. Prof. Manju Mohan, IIT Delhi 8 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 9. Land Cover Changes in Delhi: 1997-2008* Land Cover changes for different classes from 1997-2008 (Sq. km in Total area) *Mohan et al, JEP, 2011 Prof. Manju Mohan, IIT Delhi Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 10. Land Cover Changes in Delhi: 1997-2008* • An overall net increase of 251.18 km2 (16.87 %) in built–up area has been observed in last decade. • On the other hand there is a decrease in agricultural area of 146.75 km2 by combining the decrease in crop and fallow land. • There is another significant decrease in wasteland by 80.62 km2 by combining scrub-land and sandy areas. • Area covered by water bodies reduced from 58.26 km2 in 1997 to 27.43 km2 in 2008 which is about 52.9% decrease in a ten year period. *Mohan et al, JEP, 2011 Prof. Manju Mohan, IIT Delhi 10 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 11. Land Cover Changes in Delhi: 1997-2008 contd.. • Thus increase in built-up area in the city has been on the expense of majorly from the agricultural and waste land together with the shrinking water bodies. • As the city developed, the built-up category replaced most of the land classes like sandy areas, fallow land and scrub land. The changes in LU- LC classes are more from population pressure as the population growth is very high in Delhi. Prof. Manju Mohan, IIT Delhi 11 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 12. Temperature trends in Delhi* • An increasing trend shows impact of urbanisation in form of increase in built up area. • increasing warming trends in the night-time temperatures reflect the contribution of changing land-use patterns and additional anthropogenic heat. *Mohan et al, JEP, 2011 Prof. Manju Mohan, IIT Delhi Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 13. Temperature trends as proxy to urbanization • The association of increasing temperatures with urbanization was further strengthened by the trends of differences in annual mean minimum temperature of the two stations within the city namely Safdarjung and Palam. Annual Mean Minimum Temperature difference between Safdarjung and Palam during 1968 - 2005 • During the 1968-1985, it was Safdarjung which had higher night time temperatures because it was more built up than Palam. After 2000, the two stations had almost the same annual mean minimum temperatures as in subsequent years Palam had also urbanized. Prof. Manju Mohan, IIT Delhi Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 14. Prof. Manju Mohan, IIT Delhi 14 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 15. Delhi: Usual Climate Scenario • Delhi is located at 28.61 °N and 77.23 °E at mean sea level of 216 m. • With a population of 22.4 million and daily influx of about 665 people, the city and its surrounding areas form fourth largest urban agglomeration in the world. • Delhi has four distinct seasons namely: - Summer (March, April, May and June), - Monsoon (July, August and first half of September), - Post Monsoon (October, November) and - Winter (December-February). Prof. Manju Mohan, IIT Delhi 15 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 16. Study Area Network of Delhi (contd..) • The national capital territory of Delhi covering an area of 32 x 32 km was chosen as the study area as shown in Figure • The entire area is divided in 16 major grid cells of 8 x 8 km where at least one ground level station was allocated. • Some of the grids with different land-use type had more than one station so as to get a representation of the terrains therein. • The locations and LULC categories of these stations is depicted in Figure 1. • LULC categories used for location of measurement sites can broadly be classified into Urban Built Up areas, Green Areas, Open Areas and Riverside categories. Prof. Manju Mohan, IIT Delhi 16 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 17. Layout of field measurement points their LULC category in the study area Prof. Manju Mohan, IIT Delhi 17 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 18. Classified Image of Study Domain Prof. Manju Mohan, IIT Delhi 18 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 19. Study Area Network of Delhi (contd..) • In all, 30 sites (including 3 weather stations and 27 surface micrometeorological stations) were chosen throughout the city so as to represent a wide variety of land use/land cover categories. • Temperature and humidity measuring instruments were installed at the micrometeorological stations and weather stations were installed at the rooftop and were equipped with instruments used for recording wind speed and direction, dry bulb temperature, relative humidity, atmospheric pressure and direct solar radiation. Prof. Manju Mohan, IIT Delhi 19 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 20. Site Classification Built Up Area Green Cover Open Area Riverside Dense Urban Canopy Medium Dense Medium Dense Canopy-1 Forests [MDUC I] Medium Dense Canopy- 2 [MDUC II] Less Dense Parks and Canopy Gardens Prof. Manju Mohan, IIT Delhi 20 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 21. BUILT UP AREAS Dense Urban Canopy GREEN AREAS •Sitaram Bazar (30) Medium Dense Forests •Bhikaji Cama (7) Medium Dense Urban Canopy •Sanjay Van (24) •Dwarka (6) : MDUC-I Parks & Gardens •Lajpat Nagar (9) : MDUC-I •Hauz Khas Distt Park (28) •Noida Sec-19 (10 ) •Buddha Jayanti Park (8) • Janakpuri (12)-MDUC-I •CP (14): MDUC-I •Kaushambi(16): MDUC-I Micro- OPEN AREAS •Rohini (17) :MDUC-I Meteorological •Adarsh Nagar(19): MDUC-I •IIT (2) •Civil Lines (20): MDUC-I Stations •Loni2 (23) •Neb Sarai (4): MDUC-II •JNU •Moti Nagar (13) : MDUC-II •Vasant Kunj (24): MDUC-II •Chirag Delhi (26) : MDUC-II RIVERSIDE AREAS •Yusuf Sarai (29): MDUC-II Less Dense Urban Canopy •Majnu Ka Tila (11) •Gurgaon,Sec-23(1) •Sailing Club, Jamia Nagar (21) •IIT (2) Prof. Manju Mohan, IIT Delhi 21 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 22. Data Collection and Experiment Description (Indo-Japanese Cooperative Study: IITD, IITR and Meisei University, Japan)* *Mohan et al, ICUC-7, Yokohama, Japan, 2009 Prof. Manju Mohan, IIT Delhi 22 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 23. Experiment Description • Field experiments were carried out during 25-28 May 2008 and were named as DELHI-I. • The month of May is a typical summer month in Delhi. • Temperature and humidity measuring instruments were fixed at all micrometeorological stations. The instruments were installed at a height of about 1.5 m from the ground level such that the ‘immediate’ surroundings of the instrument were open and not obstructed by any tree or building. • These instruments were set facing the South Direction to receive the solar insolation for maximum duration of the day. • In addition, 3 weather stations at the rooftop level (15m approximately) measured wind speed and direction, dry bulb temperature, atmospheric pressure, and global solar radiation. Prof. Manju Mohan, IIT Delhi 23 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 24. Setting Up of Weather Stations Calibration Phase Calibration Set-Up of Micrometeorological Instruments Prof. Manju Mohan, IIT Delhi 24 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 25. Weather Station installed at a roof Prof. Manju Mohan, IIT Delhi 25 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 26. Setting Up of Micrometeorological Instrument at Site Prof. Manju Mohan, IIT Delhi 26 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 27. Loni- Open Area Sitaram Bazar- Dense Urban Canopy Prof. Manju Mohan, IIT Delhi 27 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 28. Green Areas Buddha Jayanti Park Hauz Khas Distt Park Natural Green Area Natural + Cultivated Green Area (Medium Dense Forest) Prof. Manju Mohan, IIT Delhi 28 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 29. Sailing Club (River Bank) Riverside Areas Majnu Ka Tila (Near River Bank) 29 Prof. Manju Mohan, IIT Delhi Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 30. Weather Conditions during the Field Campaign Parameter DELHI-I (25-28 May 2008) Maximum Temperature 33.4 °C -37.2 °C Minimum Temperature 19.6 °C -23.9 °C Wind Speed 0-3.6 ms-1 Wind Direction WNW to SW Rainfall Events 25 May, 26 May Prof. Manju Mohan, IIT Delhi 30 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 31. Results: UHI Intensities in DELHI-I (May 2008) • The dense commercial zone of Cannaught Place-Sitaram Bazar observes higher temperatures on all experimental days. • The heat island effect develops in the order of Cannaught Place- Sitaram Bazar zone > Bhikaji Cama zone> Janakpuri Zone. • The maximum UHI intensity of 8.3 °C was observed at Sitaram Bazar. • All green areas (IIT-Hauz Khas-Sanjay Van and Buddha Jayanti Park) fall under cooler pockets on all the days. • Overall heat island intensity has been found to increase from 25th May to 28th May. • The riverside areas experience higher temperatures than green areas but lower than those of urban canopies in vicinity. Prof. Manju Mohan, IIT Delhi 31 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 32. 32 32 30 30 22 22 28 19 23 Riverside 28 19 23 17 17 Areas 26 26 20 4 20 4 4 .2 24 21 24 21 3 .8 26 27 3 .6 3 .6 22 22 3 .4 3 .2 3 .2 13 13 M M 20 20 3 2 .8 2 .8 18 30 16 18 30 16 2 .6 12 14 2 .4 A A 12 14 2 .4 Y (k m ) Y (k m ) 16 16 2 .2 8 2 8 2 14 1 .6 Y Y 14 1 1 .8 .6 12 6 12 6 1 .4 Dense 1 .2 1 .2 10 10 7 7 10 10 1 29 9 11 0 .8 29 9 11 0 .8 8 28 2 26 0 .4 Commercial 8 28 2 26 0 0 .6 .4 25 Areas 25 6 6 0 .2 24 27 0 24 27 0 4 T e m p e ra tu re 4 T e m p e ra tu re 1 4 ( C) 1 4 ( C) 2 2 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 32 X (k m ) UHI contours 32 X (k m ) 30 22 23 (DELHI-I, 30 22 23 May 2008) 28 28 26 17 19 26 17 19 20 20 3:00 am 4 .6 5 .6 24 21 24 21 5 .2 4 .2 22 4 .8 22 3 .8 4 .4 13 13 20 18 30 16 3 .4 3 28 29 20 18 30 16 4 3 .6 12 14 M M 12 Y (k m ) 14 Y (k m ) 3 .2 16 2 .6 16 8 8 2 .8 14 2 .2 1 .8 A A 14 2 .4 2 6 Y 12 6 Y 12 1 .6 10 1 .4 10 10 7 10 7 29 9 11 Green 1 .2 1 29 9 11 8 28 8 28 0 .8 2 0 .6 2 26 Areas 26 0 .4 6 25 6 25 24 27 0 .2 24 27 0 4 T e m p e ra tu re 4 T e m p e ra tu re 1 4 ( C) 1 ( C) 2 2 4 32 Prof. Manju Mohan, IIT Delhi 2 4 6 8 10 12 14 16 X (k m ) 18 20 22 24 26 28 30 32 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012 2 4 6 8 10 12 14 16 X (k m ) 18 20 22 24 26 28 30 32
  • 33. Summary Table of Maximum UHI (°C) in DELHI-I Experiments Date Time 3:00 am 9:00 am 3:00 pm 9:00 pm 25 May 2008 - 4.6 6.3 2.8 26 May 2008 4.1 6.4 3.8 5.1 27 May 2008 4.2 5.1 7.6 4.2 28 May 2008 4.6 5.3 6.7 8.3 29 May 2008 5.6 - - - Prof. Manju Mohan, IIT Delhi 33 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 34. The Indian Express, 25 September, 2009 Prof. Manju Mohan, IIT Delhi 34 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 35. Prof. Manju Mohan, IIT Delhi 35 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 36. The Hindustan Times, 26 September, 2009 36
  • 37. 37
  • 38. Comparison with other international megacities • Table 1 shows compilation of some reported UHIs in major cities of the world based on various field observations. • The average maximum daily UHI observed in DELHI-I measurements is comparable to other cities like London, Beijing and Tokyo indicating that urban heat island phenomenon in Delhi is of significant importance as in other megacities of the world. • With increasing urbanization, stronger heat island intensities are expected to be observed here. Prof. Manju Mohan, IIT Delhi 38 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 39. Table 1: UHI of some major megacites of the world Heat Island Remarks City Source Intensity Maximum: 5.4°C UHI in summer 2002 New York Gaffin et al (2008) Mean: ~3°C Maximum: 6°C Sarkar and Ridder 12 Day experiment in Paris Mean: 2.56°C (2011) June 2006 Maximum UHI in London 8-9 °C GLA (2006) summer 2003 heat wave episode Wang and Hu Maximum UHI in July Beijing 7.9 °C (2006) 2002 Maximum: 8.1° C Nocturnal UHI in March Tokyo Saitoh et al (1996) Mean: 5.3° C 1992 Maximum 8.2 °C 25-28 May 2008 Delhi DELHI-I Mean: 4.7 °C Prof. Manju Mohan, IIT Delhi 39 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 40. Urban Heat Islands: Impacts • Increased energy consumption: – Higher temperatures in summer increase energy demand for cooling and add pressure to the electricity grid during peak periods of demand. • Compromised human health and comfort – Warmer days and nights, along with higher air pollution levels, can contribute to general discomfort, respiratory difficulties, heat cramps and exhaustion, non-fatal heat stroke, and heat-related mortality. • Elevated emissions of air pollutants and greenhouse gases – Increasing energy demand generally results in greater emissions of air pollutants and greenhouse gas emissions from power plants. Higher air temperatures also promote the formation of ground- level ozone. Prof. Manju Mohan, IIT Delhi 40 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 41. Conclusions • The urban heat island effect is prevalent in Delhi and its magnitude has been observed to be of the order of about 8°C. • Maximum UHI was observed at dense residential and commercial area of Sitaram Bazar during nighttime. Other stations with highest UHI were Bhikaji Cama, Connaught Place, and Noida. • Comparison with maximum and average UHI of other cities of the world revealed that UHI in Delhi is comparable to other major cities of the world such as London, Tokyo and Beijing. • More field campaigns at higher spatial resolution and longer duration along with satellite data would provide greater insight . Prof. Manju Mohan, IIT Delhi 41 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 42. Prof. Manju Mohan, IIT Delhi 42 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012
  • 43. References • Mohan M, Pathan SK, Kolli NR, Kandya A, Pandey S. (2011) Dynamics of Urbanization and Its Impact on Land-Use/Land-Cover: A Case Study of Megacity Delhi, J Environ Prot 2: 1274-1283 • Mohan M, Kandya A, Battiprolu A (2011) Urban Heat Island Effect over National Capital Region of India: A Study using the Temperature Trends. J Environ Prot 2:465-472. • Mohan M, Kikegawa Y, Gurjar BR, Bhati S, Kandya A, Ogawa K (2009) Assessment of Urban Heat Islands Intensities over Delhi. The Seventh International Conference on Urban Climate (ICUC-7), June 2009, Japan. Prof. Manju Mohan, IIT Delhi 43 Delhi 2050 Workshop, 30 Jan – 3 Feb 2012