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Environ Monit Assess
DOI 10.1007/s10661-012-2898-0




Impact of anthropogenic activities on water quality of Lidder
River in Kashmir Himalayas
Irfan Rashid & Shakil Ahmad Romshoo




Received: 31 March 2012 / Accepted: 12 September 2012
# Springer Science+Business Media Dordrecht 2012


Abstract The pristine waters of Kashmir Himalaya are          particularly, the number of tourists visiting the valley
showing signs of deterioration due to multiple reasons.       has increased in the summer months from June to
This study researches the causes of deteriorating water       September, which is also responsible for deteriorating
quality in the Lidder River, one of the main tributaries of   the water quality of Lidder River. In addition to this, the
Jhelum River in Kashmir Himalaya. The land use and            extensive use of fertilizers and pesticides in the agricul-
land cover of the Lidder catchment were generated             ture and horticulture lands during the growing season
using multi-spectral, bi-seasonal IRS LISS III (October       (June–August) is also responsible for the deteriorating
2005 and May 2006) satellite data to identify the extent      water quality of Lidder River.
of agriculture and horticulture lands that are the main
non-point sources of pollution at the catchment scale. A      Keywords Water quality analysis . Remote sensing .
total of 12 water quality parameters were analyzed over       Land use . Land cover . Visual image interpretation
a period of 1 year. Water sampling was done at eight
different sampling sites, each with a varied topography
and distinct land use/land cover, along the length of         Introduction
Lidder River. It was observed that water quality deteri-
orated during the months of June–August that coincides        The rivers are a refuge to many plant and animal
with the peak tourist flow and maximal agricultural/          species besides harboring precious resources of fresh
horticultural activity. Total phosphorus, orthophosphate      water. Unfortunately, rivers have long been used and
phosphorus, nitrate nitrogen, and ammoniacal nitrogen         abused for the disposal of wastes. Although the rivers
showed higher concentration in the months of July and         have the capacity of self-purification, this capacity is
August, while the concentration of dissolved oxygen           altered because of anthropogenic activities in the river
decreased in the same period, resulting in deterioration      catchment, leading to the destruction of this important
in water quality. Moreover, tourism influx in the Lidder      ecosystem. Humans now strongly influence almost
Valley shows a drastic increase through the years, and        every major aquatic ecosystem, and their activities
                                                              have dramatically altered the fluxes of growth-
                                                              limiting nutrients from the landscape to receiving
                                                              waters. Unfortunately, these nutrient inputs have had
I. Rashid : S. A. Romshoo (*)                                 profound negative effects upon the quality of surface
Department of Earth Sciences, University of Kashmir,
                                                              waters worldwide (Smith 2003). Surface waters are
Hazratbal,
Srinagar, Kashmir 190006, India                               most exposable to pollution due to their accessibility
e-mail: shakilrom@yahoo.com                                   for disposal of wastewaters (Samarghandi et al. 2007).
Environ Monit Assess

Both the anthropogenic influences such as urban, in-         Khadka and Khannal 2008; Mtethiwa et al. 2008;
dustrial, and agricultural activities increasing exploita-   Twesigye et al. 2011). Studies have established that land
tion of water resources as well as natural processes,        use activity significantly influences nutrient loadings
such as precipitation inputs, erosion, and weathering        and discharges (Dillon and Kirchner 1975; Hill 1978;
of crustal materials, degrade surface waters and dam-        Beaulac and Reckhow 1982; Lowrance et al. 1984;
age their use for drinking, recreational, and other          Correll et al. 1992; Romshoo and Muslim 2011) or have
purposes (Jarvie et al. 1998; Simeonov et al. 2003;          shown that agricultural catchments discharge higher
Mahvi et al. 2005; Nouri et al. 2008; Karbassi et al.        amounts of nutrients than forested catchments.
2008a, b). Yadav and Kumar (2011) monitored the              Nutrient export from pasture and grazing is not signifi-
water quality of Kosi River in India and concluded           cantly different than the export from forestland use
that industrialization, urbanization, and modern agri-       (Beaulac and Reckhow 1982), but discharges of nitro-
culture practices have direct impact on deteriorating        gen and phosphorus significantly increased as the per-
water quality.                                               cent of cropland increased (Correll et al. 1992).
   Seasonal variation in precipitation, surface runoff,         Hill et al. (1978) found that both annual loss and
interflow, ground water flow, and pumped in and out-         mean annual concentrations of nitrate are correlated
flows have a strong effect on river discharge and            with land use activity. Seasonal and long-term varia-
subsequently on concentration of pollutants in the river     tions in nutrient export appeared to be important fac-
water (Vega et al. 1998; Monavari and Guieysse 2007;         tors (Hill et al. 1978; Correll et al. 1992). Catchment




Fig. 1 Location of the study area
Environ Monit Assess

Table 1 Physicochemical analysis of Lidder waters across different seasons

Parameters                              Month       S1      S2       S3      S4     S5     S6     S7     S8     Average

pH                                      April       7.1     7.2      7.3     7.3    7.3    7.8    7.91   7.96   7.48
                                        July        7.13    7.22     7.48    7.05   7.41   7.9    8.1    8.43   7.59
                                        August      7.12    7.18     7.46    7.2    7.44   7.9    8.52   8.8    7.70
                                        October     7.04    7.1      7.22    7.11   7.26   7.35   7.67   7.91   7.33
Conductivity (μScm−1)                   April       90      130      100     90     100    120    120    130    110.00
                                        July        120     128      115     92     112    128    132    144    121.38
                                        August      130     130      120     98     120    126    136    148    126.00
                                        October     88      122      102     92     100    104    116    126    106.25
Total chloride (mgL−1)                  April       22      20       20      24     24     22     22     24     22.25
                                        July        30      30       34      36     34     34     38     46     35.25
                                        August      28      30       28      34     36     38     40     48     35.25
                                        October     18      18       24      16     18     26     24     28     21.50
Dissolved oxygen (mgL−1)                April       10.4    10       8.8     10.8   10     9.6    9.4    9.4    9.80
                                        July        7.8     7.3      7.2     9.6    9.6    8.3    7.2    7.2    8.03
                                        August      7.8     7.8      7.6     7.8    7.4    6.8    6.8    6.4    7.30
                                        October     11.8    11.2     11      12.2   11.4   11.2   10.8   10.6   11.28
Biological oxygen demand (mgL−1)        April       11      11.4     11.8    10.2   12     13.6   14.2   15.8   12.50
                                        July        12.6    12.8     13      11     11     12.2   13     16.4   12.75
                                        August      12.6    12.6     12.8    12.4   13     15.4   16.4   18     14.15
                                        October     8.2     9.4      9.6     7.2    9      9.6    10.2   10.4   9.20
Total solids (mgL−1)                    April       2.2     2.25     2.34    2.32   2.44   2.52   2.58   3.4    2.51
                                        July        2.34    2.36     2.41    2.54   2.62   2.64   2.78   3.48   2.65
                                        August      2.3     2.3      2.39    2.48   2.6    2.62   2.67   3.96   2.67
                                        October     2.1     2.01     2.28    1.7    2.12   2.18   2.28   2.38   2.13
                           −1
Total dissolved solids (mgL )           April       1.3     1.43     1.58    1.58   1.76   1.81   1.93   1.95   1.67
                                        July        1.34    1.51     1.56    1.6    1.72   1.87   1.96   1.99   1.69
                                        August      1.3     1.2      1.34    1.24   1.68   1.88   1.98   2.3    1.62
                                        October     1.2     1.22     1.24    1.18   1.34   1.48   1.62   1.7    1.37
Total suspended solids (mgL−1)          April       0.9     0.82     0.76    0.74   0.68   0.71   0.65   1.45   0.84
                                        July        1       0.85     0.85    0.94   0.9    0.77   0.82   1.49   0.95
                                        August      1       0.9      1.05    1.24   0.92   0.74   0.69   1.66   1.03
                                        October     0.9     0.79     1.04    0.52   0.78   0.7    0.66   0.68   0.76
Nitrate nitrogen (μgL−1)                April       180     187      210     177    225    230    230    235    209.25
                                        July        198     200      205     196    226    232    236    244    217.13
                                        August      267     268      280     210    247    287    310    325    274.25
                                        October     160     176      188     140    160    187    196    230    179.63
Ammoniacal nitrogen (μgL−1)             April       112     124      136     108    140    142    144    148    131.75
                                        July        132     134      134     128    140    144    148    153    139.13
                                        August      166     167      176     134    156    180    184    198    170.13
                                        October     94      106      126     78     92     122    132    142    111.50
Orthophosphate phosphorus (μgL−1)       April       24      28       42      32     44     38     44     46     37.25
                                        July        30      42       42      34     48     62     66     72     49.50
                                        August      32      44       46      44     48     64     68     80     53.25
                                        October     18      28       32      22     30     38     42     46     32.00
Environ Monit Assess

Table 1 (continued)

Parameters                           Month       S1      S2    S3      S4      S5      S6      S7        S8      Average

Total phosphorus (μgL−1)             April       38      46    72      52      76      68      78        84      64.25
                                     July        52      70    72      62      84      106     108       116     83.75
                                     August      54      72    78      70      86      110     112       128     88.75
                                     October     36      44    52      38      54      66      70        82      55.25




characteristics such as drainage density, channel slope,      threat to the rich water resource of Lidder is the
and basin relief ratio are also significantly positively      seasonal inflow of Amarnath pilgrims during the pe-
correlated with discharge and nutrient loss (Hill et al.      riod from June to August. Thus, the main impact of
1978). Land cover change plays a pivotal role in regional     undesirable human activities is responsible for accel-
social and economic development and global environ-           erated flow of nutrients from terrestrial to aquatic
mental changes (Xiuwan 2002). A number of research            portion of the catchment. In this context, the present
works have been carried out by using various methodol-        study was undertaken.
ogies and algorithms to derive land cover and change
information from different sets of remotely sensed data
(Singh 1986, 1989; Tateishi and Kajiwara 1991;                Study area
Lichtenegger 1992; Muchoney and Haack 1994;
Wismann 1994; Lambin 1996; Sailor et al. 1997;                The study area is Lidder valley (Fig. 1) which lies to
Romshoo 2003; Romshoo et al. 2011). Although tourism          the North of Anantnag district (Jammu and Kashmir,
plays a vital role in generating both national and local      India) in the central Himalayan mountain range with
revenue, it has an adverse effect on the environment          the geographical coordinates of 33°4′–34°15′ N lati-
(Pandey et al. 1995). The significance of ecological          tude and 75°05′–75°32′ E longitude. The valley is
impacts from tourism and recreation has been recognized       50 km long and has a varied topography with the
widely by protected area management agencies and              altitudinal extremes of 1,600–5,200 m. The most im-
researchers (Buckley 2001, 2002; Leung and Marion             portant settlement in the Lidder valley is the town of
2000; Newsome et al. 2002; Sirakaya et al. 2001).             Pahalgam with a lot of hotels and restaurants.
   During recent years, rapid increase in the popula-         Pahalgam is an important tourist destination and also
tion has resulted in the establishment of new settle-         gateway to many treks including the one to the holy
ments in the catchment of Lidder River. Humans in the         cave of Amarnath—sacred to Hindus.
process began to degrade the environment, particularly            Lidder River, one of the important right bank
the aquatic ecosystem, by deforestation and denuda-           tributaries of river Jhelum, is formed by two mountain
tion of drainage basin. Also, vast forest areas were          torrents which flow from North–East and North–West.
converted to agriculture and pastures degraded be-            The eastern stream trickles from the snow on the
cause of overgrazing by the cattle. Population density        southern slopes of Panjtarni Mountains and flows into
also exerts an important influence on nutrient concen-        oligotrophic Sheshnag Lake. Leaving the Sheshnag,
trations in river systems (Caraco and Cole 1999).             the stream flows in a westerly direction, joining the
Predominantly urban catchments generally have in-             western branch at Pahalgam. The western branch has
creasing nutrient loading rates with an increasing per-       its origin from Kolhai Mountains and is joined by the
centage of impervious land area (Beaulac and                  stream flowing from Tarsar and Chandasar lakes.
Reckhow 1982). This is attributable to the fact that          After the confluence of the two streams at Pahalgam,
hydraulic characteristics and land activities are influ-      the river flows in southerly direction. In its passage
ential factors in nutrient loading rates in urban land use    through the lower part of the valley, the river separates
areas. Currently, one of the visible problems with the        into numerous channels in the vicinity of twin towns
Lidder waters is high pollution load contributed by           of Anantnag and Bijbehara. Lidder joins river Jhelum
domestic, agricultural, and tourism sectors. One more         at Gur after traveling a course of 70 km approximately.
Environ Monit Assess

   The climate of the area is subhumid temperate. The      Materials and methods
major portion of rainfall is received from March to May,
and the period from November to February receives          Water quality analysis
heavy snowfall. The geology of the area is mainly com-
posed of Silurian Shale, Panjal Traps, Muth Quartizite,    Eight water sampling sites were taken along the length
Syringothris Limestone, Fenestella Shale, Quartzite, and   of the river for physicochemical analysis (Fig. 1).
Agglomeratic Slate (Middlemiss 1910; Bions and             Before collecting the water samples, all the sample
Middlemiss 1928), ranging in age from Devonian to          bottles were washed with Laboline and rinsed with
Upper Permian (Wadia 1976). A major fault roughly          distilled water. Water sampling was done during morn-
trending NNE–SSW has brought Fenestella Quartzite          ing hours from 8:30 am to 12:00 noon. The samples
in juxtaposition with Agglomeratic Slate (Kaul 1976).      were collected in airtight glass jars of 3-l capacity.
   Lidder River serves as a drinking water source to a     Separate samples were collected in 250-ml glass bot-
huge population lying in its catchment. Besides,           tles for the estimation of dissolved oxygen (DO). All
Lidder River is important for agriculture as it serves     the samples were transported to the laboratory for
as a source of irrigation for the same. The river also     refrigeration and were analyzed within 48 h. Twelve
harbors rich resource of fisheries particularly brown      physicochemical parameters were analyzed in the
trout. Hence, the river is socioeconomically important     present study which includes pH, electric conductivity,
for the population in its catchment.                       dissolved oxygen, biological oxygen demand, total




Fig. 2 Land use land cover map of Lidder River catchment
Environ Monit Assess

chlorides, total solids, total suspended solids, total              water quality results in order to assess the impact of
dissolved solids, ammoniacal nitrogen, nitrate nitro-               tourism on water quality.
gen, total phosphorus, and orthophosphate phospho-
rus. Analysis was done for all the four seasons viz,                Land use land cover mapping
spring, summer, autumn, and winter in 2007. Analysis
of physicochemical parameters was done priority-                    Bi-seasonal satellite data IRS-P6-LISS-III pertaining to
wise. pH, conductivity, DO, nitrates, and phosphates                October 2005 and May 2006 were used to map land
were determined immediately followed by others. The                 cover types in Lidder catchment. IRS-P6-LISS-III with
physicochemical parameters were analyzed as per                     as spatial resolution of 23.5 m, Path/Row 92/46 (19
standard methods (APHA and AWWA 1999).                              October 2005), 92/47 (19 October 2005), 93/46 (24
Dissolved oxygen was estimated by modified                          October 2005), 92/46 (26 May 2006), 92/47 (23 May
Winkler’s method, total chlorides by argentometric                  2006), and 93/46 (29 April 2006) were used. LISS III
method (Mackerath et. al. 1978), ammoniacal nitrogen                operates in four bands: green band with a wavelength
and nitrate nitrogen by salicylate method (CSIR                     ranging from 0.52 to 0.59 μm, red band with a wave-
1974), and total phosphorus and orthophosphate phos-                length ranging from 0.62 to 0.68 μm, near infrared band
phorus by Stannous Chloride method (APHA 1999).                     with a wavelength ranging from 0.77 to 0.86 μm, and
                                                                    short-wave infrared with a wavelength ranging from
Tourism data                                                        1.55 to 1.70 μm. Land use land cover mapping was
                                                                    done as per the standards laid by NNRMS (Anonymous
The environmental impact of tourism is assessed pri-                2005). For delineating land use land cover satellite data
marily through the physicochemical analysis of water                were processed. Processing of satellite data involved
quality because it is an excellent indicator of human               georectification, georeferencing, co-registration, and
use of the ecosystem. Monthly tourism data from 1997                mosaicing appropriate scenes of the study area.
to 2011 were acquired from Jammu and Kashmir                        Onscreen image interpretation technique was then
Tourism Department to analyze the seasonal variation                employed for differentiating Land Use Land Cover
in tourist flow. Also, data pertaining to pilgrims visit-           (LULC) after using various image-processing techni-
ing holy Amarnath cave annually from 1979–2009                      ques like image enhancement, filtering, etc. to enhance
were acquired. Tourism data were correlated with                    the interpretability of the LULC classes.

Table 2 Recent tourist inflow
into Lidder valley               Year      Non-pilgrim tourists                                             Total no. of tourists

                                           Domestic         Foreign        Local       Pilgrim tourists

                                 1997      6,340            291            5,396       79,035               91,062
                                 1998      8,340            365            6,396       149,000              164,101
                                 1999      58,162           673            36,322      114,000              209,157
                                 2000      58,775           679            31,376      173,334              262,164
                                 2001      49,744           650            29,205      119,037              198,636
                                 2002      11,468           378            27,533      110,793              150,172
                                 2003      60,249           1,301          375,263     153,314              590,127
                                 2004      158,549          3,715          251,513     400,000              813,777
                                 2005      273,121          3,899          440,649     388,000              1,105,669
                                 2006      254,590          2,975          444,604     265,000              967,169
                                 2007      149,413          2,094          341,966     213,565              707,038
                                 2008      131,422          2,131          163,898     498,198              795,649
                                 2009      130,675          2,106          451,546     373,419              957,746
                                 2010      159,860          2,218          63,242      458,212              683,532
                                 2011      277,731          4,918          422,712     635,000              1,350,361
Environ Monit Assess

Results and discussion                                     as salts of sodium, potassium, and calcium. Chlorides
                                                           are leached from various rocks into soil and water by
Water quality                                              weathering. The chloride ion is highly mobile and is
                                                           transported to closed basins (WHO 1996). The con-
The results of water quality analysis are summarized       centration of total chlorides increased downstream
in Table 1. Water was alkaline with pH value ranging       which can be attributed to the waste inflow in the form
from 7.1 to 8.43. Gradual increase in pH from site I to    of domestic sewage.
site VIII is related to increasing pollution pressure         Dissolved oxygen showed inverse relationship with
resulting because of tourist and agricultural activities   temperature, which is in agreement with Henry’s Law
in the catchment of Lidder.                                (IUPAC 1997). The maximum concentration of dis-
   Total chloride concentration ranged from 16 to          solved oxygen was recorded in the spring season and
44 mgL−1. Chlorides are widely distributed in nature       late autumn. Difference of nearly 2 mgL−1 between

Fig. 3 a Total number of
tourists visiting Lidder val-
ley from 1997 to 2011. b
Number of pilgrim tourists
(Yatris) visiting Lidder val-
ley from 1980 to 2011
Environ Monit Assess

upstream and downstream stations was observed in                     rus, and orthophosphate phosphorus showed almost a
some months, which is an indicator of heavy organic                  similar trend as that of nitrates. Phosphorus contami-
pollution in the lower reaches owing to flushing of                  nation is attributed to high anthropogenic pressure
sewage directly into Lidder River by nearby settlements.             (sites 6, 7, and 8) and presence of Silurian shale in
   TDS was maximum during summer months which                        the catchment of Lidder River (Middlemiss 1910).
can be attributed to accelerated snowmelt, increasing
runoff, rainfall in the catchment of Lidder, grazing,                Tourist data analysis
and tourist activities. Hence, the river downstream is
affected by silt-impregnated waters derived from its                 Time series of the tourist data from 1997 to 2011 was
catchment.                                                           analyzed (Table 2) to investigate if there is any link
   Calcium was the dominant cation at all stations                   between the deteriorating water quality and number of
because of the presence of calcium-rich rocks                        tourist arrivals in Pahalgam. We also analyzed the
(limestone) in the catchment of Lidder (Bions and                    number of pilgrim tourists visiting holy Amarnath
Middlemiss 1928). The concentration increased from                   cave from 1980 to 2011 (Fig. 3). Both the data showed
station I to station VIII. A similar behavior was shown              an increasing trend across the years as is reflected by
by magnesium whose concentration increased down-                     r2 values of 0.728 and 0.683, respectively. In the
stream. The only source of magnesium is dolomite in                  1990s, tourist inflow into the Lidder Valley was very
the catchment of Lidder River.                                       little owing to the turmoil in the region. Since 2003,
   Nitrate nitrogen increased significantly down-                    the situation improved, and there has been an expo-
stream, which is related to the entry of nitrogenous                 nential surge in the number of tourists visiting Lidder
wastes from tourist activities (bathing and defecating               Valley (Fig. 3). Year 2011 saw more than 13.5 lakh
on the river banks) and agricultural activities.                     tourists visiting Lidder valley, the highest number
Agricultural activities are predominant in plains of                 recorded till date, while the lowest number has been
Lidder valley (Fig. 2) which include Aishmuqam (site                 recorded in 1997. Similarly, 2011 saw 635,000 pilgrim
7), Mattan (site 8), and Bijbehara. The exceptionally                tourists (highest) visiting Amarnath cave, while as the
high nitrate concentration downstream can be attribut-               pilgrim data show, a decrease in the 1980s and 1990s.
ed to the use of large quantities of nitrogenous fertil-             The ever increasing tourist inflow into Lidder valley
izers in its catchment which ultimately find their way               has serious ecological consequences especially pollut-
in Lidder River. Ammoniacal nitrogen, total phospho-                 ing the pristine waters of the Lidder River.

Table 3 Time series of total monthly tourists visiting Lidder valley from 1997 to 2008 (excluding pilgrim tourists)

Year        1997     1998    1999     2000     2001     2002    2003      2004      2005      2006      2007       2008     2009
Month

January     78       97      618      586      514      254     2,819     2,670     4,631     4,531     4,997      1,919    3,770
February    53       67      425      404      334      175     1,941     1,839     3,179     3,120     3,441      1,322    2,596
March       45       56      357      338      296      147     1,627     1,541     2,674     2,616     2,885      1,108    2,177
April       247      311     1,970    1,868    1,629    810     8,985     8,511     14,744    14,444    15,930     6,119    12,020
May         811      1,019   6,461    6,129    5,365    2,657   29,474    27,920    48,419    47,379    52,255     20,071   39,428
June        4,529    5,687   36,064 34,208 30,001 14,831 164,511 155,835 270,304 264,448 230,731 112,025 220,067
July        4,466    5,607   35,558 33,728 29,580 14,623 162,203 153,649 266,512 260,738 75,146                    110,453 216,979
August      1,271    1,595   10,114 9,594      8,414    4,159   46,139    43,706    75,810    74,168    74,200     31,419   61,720
September 268        335     2,126    2,017    1,759    874     9,698     9,186     15,934    15,589    17,193     6,604    12,973
October     49       62      394      374      318      162     1,799     1,704     2,945     2,891     3,189      1,225    2,406
November 133         166     1,056    1,001    878      434     4,815     4,561     7,912     7,740     8,537      3,279    6,441
December 77          97      614      583      511      253     2,803     2,655     4,605     4,505     4,969      1,909    3,749
Total       12,027 15,101 95,757 90,830 79,599 39,379 436,813 413,777 717,669 702,169 493,473 297,451 584,327
Environ Monit Assess

   As per analysis done by the Centre of Research for                 the main river front, thus exposing the water body to a
Development (CORD) in 2011, about 2,682 metric                        high risk of contamination. There are also many areas
tons of solid wastes were generated comprising                        in and around Pahalgam town without any solid waste
975 metric tons from hotels and 1,707 metric tons                     collection/disposal mechanism. The huge quantity
from tourists. From June to August 2011, about                        of garbage, in dispersed form, is being disposed
83 % (2,231 metric tons) of total annual solid wastes                 off around these areas and finally finds its way
were generated with an average generation of about                    into Lidder River. The pilgrimage tourist base
24.77 metric tons/day. The per capita generation of                   camps at Nunwan, Zagipal, Chandanwari, and
solid waste is about 2.40 kg/day. In absence of any                   Sheshnag are not adequately equipped to suffi-
proper waste disposal mechanism or facility, it has                   ciently deal with the scientific disposal of solid
been observed that a considerable number of hotels                    wastes during the pilgrimage period. Considerable
dump their wastes openly in the forest area and along                 quantities of solid waste from these camps, main

Table 4 Correlation between average of water quality parameters and tourist arrival in Lidder vale (ρ is correlation coefficient)

Parameters                   Number of tourists        ρ          Parameters                          Number of tourists        ρ

pH                                                                Conductivity (μScm−1)
April          7.48          15,930                               April              110.00           15,930
July           7.59          287,569                              July               121.38           287,569
August         7.70          81,800                               August             126.00           81,800
October        7.33          3,189                     0.50       October            106.25           3,189                     0.62
Total chloride (mgL−1)                                            DO (mgL−1)
April          22.25         15,930                               April              9.80             15,930
July           35.25         287,569                              July               8.03             287,569
August         35.25         81,800                               August             7.30             81,800
October        21.50         3,189                     0.77       October            11.28            3,189                     −0.62
BOD (mgL−1)                                                       Total solids (mgL−1)
April          12.50         15,930                               April              2.51             15,930
July           12.75         287,569                              July               2.65             287,569
August         14.15         81,800                               August             2.67             81,800
October        9.20          3,189                     0.40       October            2.13             3,189                     0.61
TDS (mgL−1)                                                       TSS (mgL−1)
April          1.67          15,930                               April              0.84             15,930
July           1.69          287,569                              July               0.95             287,569
August         1.62          81,800                               August             1.03             81,800
October        1.37          3,189                     0.58       October            0.76             3,189                     0.56
NO3−–N (μgL−1)                                                    NH4+–N (μgL−1)
April          209.25        15,930                               April              131.75           15,930
July           217.13        287,569                              July               139.13           287,569
August         274.25        81,800                               August             170.13           81,800
October        179.63        3,189                     0.21       October            111.50           3,189                     0.28
OPP (μgL−1)                                                       TP (μgL−1)
April          37.25         15,930                               April              64.25            15,930
July           49.50         287,569                              July               83.75            287,569
August         53.25         81,800                               August             88.75            81,800
October        32.00         3,189                     0.65       October            55.25            3,189                     0.67
Environ Monit Assess




Fig. 4 Scatter diagram showing correlation between seasonal average of water quality parameters and tourist arrival in Lidder valley


township of Pahalgam from locals and other tou-                      reckless tourist activities play a significant role in the
rists, and trail garbage all along the pilgrimage                    alteration of water quality of Lidder. The highest value
route to Amarnath cave finally find their disposal                   of correlation coefficient was shown by chlorides
in the main water body of Lidder River.                              (0.77) followed by orthophosphate phosphorus
   Monthly tourism data from 1997–2009 (Table 3)                     (0.65), while a negative correlation was shown by
were correlated (Pearson and Lee 1896) with seasonal                 dissolved oxygen (ρ0−0.62).
variation in water quality parameters. Correlation be-                  Hence, accelerated flow of tourists from June to
tween tourism influx into the Lidder Valley and sea-                 August causes deterioration in water quality of
sonal variation in water quality showed a positive                   Lidder River. Due to the increase in the tourist inflow,
trend for all the water quality parameters except dis-               there has been a significant impact on deteriorating
solved oxygen (Table 4, Fig. 4), suggesting that                     water quality of Lidder River. This is evidenced from
Environ Monit Assess

the past data (Bhat and Yousuf 2003). Water quality          extents. Land use has a considerable role in affecting
parameters especially dissolved oxygen, ammoniacal           water quality of streams (Horner et al. 1996). If catch-
nitrogen, and total phosphorus are showing a change          ment is covered with impervious surfaces, such as
in their concentration when we compare 2003 WQ               roads and parking facilities, the water quality of
data with the 2007 observed data (Table 5).                  streams is seriously degraded. Agriculture as a non-
Dissolved oxygen showed a slight decrease by                 point pollution source greatly affects water quality of
0.07 mgL−1, while ammoniacal nitrogen and total              streams due to use of pesticides and fertilizers which
phosphorus showed a significant increase by 120.7            after degradation find their way into the streams di-
and 51.75 μgL−1, respectively. This could be attribut-       rectly causing enrichment in the concentration of ni-
ed to the increased tourist flow over the years (Fig. 3)     trogen and phosphorus compounds, thereby affecting
in addition to the extensive agricultural and horticul-      the biota of stream (Botkin and Keller 2009). People
tural practices employed by the people in the                living in the catchment of Lidder are shifting their land
catchment.                                                   use from agriculture to orchards owing to the decrease
                                                             in discharge of Lidder due to changing climate.
Land use land cover                                          Moreover, apple orchards are economically more viable
                                                             as compared to agriculture. The spatial extent of agri-
Knowledge of land use and land cover is important for        culture has decreased from 120.27 km2 (Zaz and
many planning and management activities and is con-          Romshoo 2008) in 1972 to 108.58 km2 in 2006. The
sidered an essential element for understanding the           area under orchards was 17.65 km2 in 1972 (Zaz and
earth system (Lillesand et al. 2004). Using on-screen        Romshoo 2008), while it is 73.03 km2 as of 2006
digitization, 13 land use land cover classes were de-        showing more than a fourfold increase during the past
lineated (Fig. 2, Table 6) based on shape, size, pattern,    34 years. A zoomed-in view showing change in land use
tone, texture, and association (Oslon 1960). These           from agriculture to orchards in Lidder valley from 1992
include bare rock, barren land, coniferous forest, crop-     to 2005 can be seen in Fig. 5. Though the area under
land, degraded forest, grassland, orchards, perennial        agriculture has reduced considerably, the increased use
snow, plantation, scrub, settlements, water body, and        of fertilizers over the years has led to the deterioration in
wetland. This was followed by extensive ground ver-          the water quality of Lidder especially in the lower plains
ification where a total of 202 ground samples were
taken. The overall accuracy of the delineated LULC
map was 93.56 % (Table 7), modified after incorpo-           Table 6 Land use land cover statistics of Lidder Valley
rating necessary field information. Coniferous forest        Class name                    Area (km2)                  % age
(20.45 %) was the most dominant land cover type
followed by scrub (15.33 %), perennial snow                  Bare rock                     110.86                      8.90
(14.43 %), degraded forest (12.65 %), bare rock              Barren land                   67.39                       5.41
(8.9 %), and cropland (8.74 %), while wetland                Coniferous forest             254.81                      20.45
(0.16 %) was the least dominant class as per the spatial     Cropland                      108.86                      8.74
                                                             Degraded forest               157.56                      12.65
                                                             Grassland                     43.77                       3.51
Table 5 Change in physicochemical characteristics of water
from 2003 to 2007                                            Orchards                      73.03                       5.86
                                                             Plantation                    32.17                       2.58
Year                           2003a    2007      Change
                                                             Perennial snow                179.72                      14.43
Parameter
                                                             Scrub                         190.94                      15.33
Dissolved oxygen (mgL−1)       9.17     9.1       -0.07      Settlements                   7.13                        0.57
Ammoniacal nitrogen (μgL−1)    17.42    138.13    +120.71    Water body                    17.50                       1.40
                       −1
Total phosphorus (μgL )        21.25    73        +51.75     Wetland                       1.98                        0.16
a
                                                             Total area                    1,245.73                    100.00
    Bhat and Yousuf 2003
Environ Monit Assess

Table 7 Accuracy assessment of land use/land cover

Reference data

                  BR    BL    CL     CF     FP    GL     OF     OR     PS    SF    SE     WA     WE      Row total

Classification data
BR                7     1     0      0      0     0      0      0      0     0     0      0      0       8
BL                0     5     0      0      0     0      0      0      0     1     0      0      0       6
CF                0     0     44     0      0     0      2      0      0     1     0      0      0       47
CL                0     0     0      23     0     0      0      1      0     0     0      0      0       24
FP                0     0     0      0      13    0      1      0      0     0     0      0      0       14
GL                0     0     1      0      0     19     0      0      0     1     0      0      0       21
OF                1     0     0      0      0     0      12     0      0     1     0      0      0       14
OR                0     0     0      1      0     0      0      12     0     0     0      0      0       13
PS                0     0     0      0      0     0      0      0      6     0     0      0      0       6
SF                0     0     0      0      1     0      0      0      0     27    0      0      0       28
SE                0     0     0      0      0     0      0      0      0     0     8      0      0       8
WA                0     0     0      0      0     0      0      0      0     0     0      6      0       6
WE                0     0     0      0      0     0      0      0      0     0     0      0      7       7
Column Total      8     6     45     24     14    19     15     13     6     31    8      6      7       202
Producer’s accuracy                                                                                      User’s accuracy
BR0(7/8)×100087.50 %                                                                                          BR0(7/8)×100087.50 %
BL0(5/6)×100083.33 %                                                                                          BL0(5/6)×100083.33 %
CF0(44/45)×100097.77 %                                                                                   CF0(44/47)×100093.62 %
CL0(23/24)×100095.83 %                                                                                   CL0(23/24)×100095.83 %
FP0(13/14)×100092.86 %                                                                                   FP0(13/14)×100092.86 %
GL0(19/19)×1000100.00 %                                                                                  GL0(19/21)×100090.48 %
OF0(12/15)×100080.00 %                                                                                   OF0(12/14)×100085.71 %
OR0(12/13)×100092.31 %                                                                                   OR0(12/13)×100092.31 %
PS0(6/6)×1000100.00 %                                                                                        PS0(6/6)×1000100.00 %
SF0(27/31)×100087.1 %                                                                                    SF0(27/28)×100096.43 %
SE0(8/8)×1000100.00 %                                                                                        SE0(8/8)×1000100.00 %
WA0(6/6)×1000100.00 %                                                                                    WA0(6/6)×1000100.00 %
WE0(7/7)×1000100.00 %                                                                                    WE0(7/7)×1000100.00 %
Overall accuracy0[(7+5+44+23+13+19+12+12+6+27+8+6+7)/202]×100093.56 %

BR bare rock, BL barren land, CF coniferous forest, CL cropland, FP forest plantation, GL grassland, OF open forest, OR orchards, PS
perennial snow, SF-scrub forest, SE settlements, WA water body, WE wetland


of the catchment. During the period from 1980 to 1981,               impact on the deteriorating water quality of Lidder
24.14 kg/ha of fertilizers were used (Anonymous 2008).               waters in the low lying areas of the catchment espe-
Over the course of time, people started to extensively               cially around site 7 (Aishmuqam) and site 8 (Mattan)
use fertilizers to increase the crop productivity, and the           where land use is dominated by agriculture. In many
application of fertilizers increased 44.21 kg/ha in 2002–            areas of the Kashmir valley, economic factors and
2003. An all-time high rate of fertilizer application of             decreasing stream flows are the driving forces for the
97.03 kg/ha was used for 2007–2008 (Anonymous                        change of land use from water-intensive agriculture
2008). The excessive use of fertilizers has a significant            to orchards.
Environ Monit Assess




Fig. 5 Land use change from agriculture to orchards in Lidder valley from 1992 to 2005



Conclusion                                                         phosphorus, and BOD from April to August. Due to the
                                                                   increase of these nutrients, the ecology of the river is
Various land use practices in the catchment of Lidder              changing and adversely affecting the distribution of
River that has tremendous ecological and socioeco-                 aquatic flora and fauna therein. The direct discharge of
nomic importance depict the way we are treating our                the effluents and sewage from the surrounding areas into
fresh water ecosystems. From the analysis and discus-              the Lidder River has increased the nutrient loading in the
sion of the results, it is concluded that the main rea-            Lidder River. As a result of nutrient enrichment, a drop in
sons for the deterioration of the water quality of Lidder          the oxygen content has been observed which has direct
River are increase in the nutrient and silt load from the          bearing on abundance of aquatic fauna (like fishes
catchment due to reckless use of pesticides and fertil-            especially trout).
izers, encroachment, and unplanned urbanization in the                 The waters of Lidder are simultaneously subjected
vicinity of the river. This fact has been substantiated by         to multiple and competing uses. This serves domestic,
the physicochemical characteristics of the river. The              agriculture, irrigation, and other commercial sectors
physicochemical analysis shows an increase of most of              (including hotels at Pahalgam) sectors, which have a
the water quality parameters particularly nitrate nitrogen,        direct bearing on the water quality of Lidder River. It
ammoniacal nitrogen, total phosphorus, orthophosphate              is inferred from the study that pollution load increased
Environ Monit Assess

considerably (as depicted by concentration of various               Buckley, R. C. (2001). Environmental impacts. In D. Weaver
water quality determinants) in the months of July–                       (Ed.), The encyclopaedia of ecotourism (pp. 379–394).
                                                                         Oxford: CAB International.
August, which can be attributed to high tourist inflow              Buckley, R. C. (2002). Pay to play in parks: global issues and
during these months as depicted by the correlation                       Australian Alps case study. In L. Taylor (Ed.), Human use
results. So, the heavy tourist influx and agricultural                   management in mountain areas (pp. 99–105). Banff: The
activities in the Lidder Valley should be checked as                     Banff Centre.
                                                                    Caraco, N. F., & Cole, J. J. (1999). Human impact on nutrient
per the carrying capacity of the valley so as to preserve                export: an analysis using major world rivers. Ambio, 28,
the pristine water resource of Lidder, thereby ensuring                  167–170.
its sustainability. As is evident from land use land                CORD. (2011). Environmental Impact Assessment of Greater
cover map, agriculture and orchards are the dominant                     Pahalgam Master Plan 2025 (p. 251). Srinagar: University
                                                                         of Kashmir.
land uses in the plains of the valley. The agricultural             Correll, L., Jordan, T. E., & Weller, D. E. (1992). Nutrient flux
activities are at maximum in the months of June and                      in a landscape: effects of coastal land use and terrestrial
August releasing tremendous quantities of nitrogen and                   community mosaic on nutrient transport to coastal waters.
phosphorus into the Lidder River, thereby synergizing                    Estuaries, 15, 431–442.
                                                                    CSIR. (1974). Analytical guide (laboratory techniques). Preto-
the deterioration in quality of water caused by tourist                  ria: CSIR.
activities in the same period. In addition, heavy sewage            Dillon, P. J., & Kirchner, W. B. (1975). The effects of geology
ingress into Lidder waters, from hotels in Pahalgam,                     and land use on the export of phosphorus from watersheds.
commercial places, and residential areas, is also respon-                Water Research, 9, 135–148.
                                                                    Hill, A. R. (1978). Factors affecting the export of nitrate-
sible for the deteriorating water quality of Lidder River.               nitrogen from drainage basins in southern Ontario. Water
Hence, there should be proper management and disposal                    Research, 12, 1045–1057.
of wastes from agricultural, domestic, and commercial               Horner, R., Booth, D. B., Azous, A., & May, C. W. (1996).
sectors. It is suggested that an appropriate mechanism be                Watershed determinants of ecosystem functioning. Pro-
                                                                         ceedings of an Engineering Foundation Conference, Snow-
established for continuous monitoring of the Lidder                      bird, Utah, August 4–9, 1996. New York, NY:ASCE, 978-
River for its land cover, hydrochemistry, biodiversity,                  0-7844-0232, 1997, VIII, (p. 596).
and hydrology so that a robust strategy and action plan             International Union for Pure and Applied Chemistry (IUPAC).
is developed for the conservation and restoration of this                (1997). Henry’s Law: IUPAC compendium of chemical
                                                                         terminology (2nd edition). Cambridge: Royal Society of
important river.                                                         Chemistry.
                                                                    Jarvie, H. P., Whitton, B. A., & Neal, C. (1998). Nitrogen and
                                                                         phosphorous in east coast British Rivers: speciation, sour-
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Mass Tourism and Water Quality in Lidder Valley, Kashmir

  • 1. Environ Monit Assess DOI 10.1007/s10661-012-2898-0 Impact of anthropogenic activities on water quality of Lidder River in Kashmir Himalayas Irfan Rashid & Shakil Ahmad Romshoo Received: 31 March 2012 / Accepted: 12 September 2012 # Springer Science+Business Media Dordrecht 2012 Abstract The pristine waters of Kashmir Himalaya are particularly, the number of tourists visiting the valley showing signs of deterioration due to multiple reasons. has increased in the summer months from June to This study researches the causes of deteriorating water September, which is also responsible for deteriorating quality in the Lidder River, one of the main tributaries of the water quality of Lidder River. In addition to this, the Jhelum River in Kashmir Himalaya. The land use and extensive use of fertilizers and pesticides in the agricul- land cover of the Lidder catchment were generated ture and horticulture lands during the growing season using multi-spectral, bi-seasonal IRS LISS III (October (June–August) is also responsible for the deteriorating 2005 and May 2006) satellite data to identify the extent water quality of Lidder River. of agriculture and horticulture lands that are the main non-point sources of pollution at the catchment scale. A Keywords Water quality analysis . Remote sensing . total of 12 water quality parameters were analyzed over Land use . Land cover . Visual image interpretation a period of 1 year. Water sampling was done at eight different sampling sites, each with a varied topography and distinct land use/land cover, along the length of Introduction Lidder River. It was observed that water quality deteri- orated during the months of June–August that coincides The rivers are a refuge to many plant and animal with the peak tourist flow and maximal agricultural/ species besides harboring precious resources of fresh horticultural activity. Total phosphorus, orthophosphate water. Unfortunately, rivers have long been used and phosphorus, nitrate nitrogen, and ammoniacal nitrogen abused for the disposal of wastes. Although the rivers showed higher concentration in the months of July and have the capacity of self-purification, this capacity is August, while the concentration of dissolved oxygen altered because of anthropogenic activities in the river decreased in the same period, resulting in deterioration catchment, leading to the destruction of this important in water quality. Moreover, tourism influx in the Lidder ecosystem. Humans now strongly influence almost Valley shows a drastic increase through the years, and every major aquatic ecosystem, and their activities have dramatically altered the fluxes of growth- limiting nutrients from the landscape to receiving waters. Unfortunately, these nutrient inputs have had I. Rashid : S. A. Romshoo (*) profound negative effects upon the quality of surface Department of Earth Sciences, University of Kashmir, waters worldwide (Smith 2003). Surface waters are Hazratbal, Srinagar, Kashmir 190006, India most exposable to pollution due to their accessibility e-mail: shakilrom@yahoo.com for disposal of wastewaters (Samarghandi et al. 2007).
  • 2. Environ Monit Assess Both the anthropogenic influences such as urban, in- Khadka and Khannal 2008; Mtethiwa et al. 2008; dustrial, and agricultural activities increasing exploita- Twesigye et al. 2011). Studies have established that land tion of water resources as well as natural processes, use activity significantly influences nutrient loadings such as precipitation inputs, erosion, and weathering and discharges (Dillon and Kirchner 1975; Hill 1978; of crustal materials, degrade surface waters and dam- Beaulac and Reckhow 1982; Lowrance et al. 1984; age their use for drinking, recreational, and other Correll et al. 1992; Romshoo and Muslim 2011) or have purposes (Jarvie et al. 1998; Simeonov et al. 2003; shown that agricultural catchments discharge higher Mahvi et al. 2005; Nouri et al. 2008; Karbassi et al. amounts of nutrients than forested catchments. 2008a, b). Yadav and Kumar (2011) monitored the Nutrient export from pasture and grazing is not signifi- water quality of Kosi River in India and concluded cantly different than the export from forestland use that industrialization, urbanization, and modern agri- (Beaulac and Reckhow 1982), but discharges of nitro- culture practices have direct impact on deteriorating gen and phosphorus significantly increased as the per- water quality. cent of cropland increased (Correll et al. 1992). Seasonal variation in precipitation, surface runoff, Hill et al. (1978) found that both annual loss and interflow, ground water flow, and pumped in and out- mean annual concentrations of nitrate are correlated flows have a strong effect on river discharge and with land use activity. Seasonal and long-term varia- subsequently on concentration of pollutants in the river tions in nutrient export appeared to be important fac- water (Vega et al. 1998; Monavari and Guieysse 2007; tors (Hill et al. 1978; Correll et al. 1992). Catchment Fig. 1 Location of the study area
  • 3. Environ Monit Assess Table 1 Physicochemical analysis of Lidder waters across different seasons Parameters Month S1 S2 S3 S4 S5 S6 S7 S8 Average pH April 7.1 7.2 7.3 7.3 7.3 7.8 7.91 7.96 7.48 July 7.13 7.22 7.48 7.05 7.41 7.9 8.1 8.43 7.59 August 7.12 7.18 7.46 7.2 7.44 7.9 8.52 8.8 7.70 October 7.04 7.1 7.22 7.11 7.26 7.35 7.67 7.91 7.33 Conductivity (μScm−1) April 90 130 100 90 100 120 120 130 110.00 July 120 128 115 92 112 128 132 144 121.38 August 130 130 120 98 120 126 136 148 126.00 October 88 122 102 92 100 104 116 126 106.25 Total chloride (mgL−1) April 22 20 20 24 24 22 22 24 22.25 July 30 30 34 36 34 34 38 46 35.25 August 28 30 28 34 36 38 40 48 35.25 October 18 18 24 16 18 26 24 28 21.50 Dissolved oxygen (mgL−1) April 10.4 10 8.8 10.8 10 9.6 9.4 9.4 9.80 July 7.8 7.3 7.2 9.6 9.6 8.3 7.2 7.2 8.03 August 7.8 7.8 7.6 7.8 7.4 6.8 6.8 6.4 7.30 October 11.8 11.2 11 12.2 11.4 11.2 10.8 10.6 11.28 Biological oxygen demand (mgL−1) April 11 11.4 11.8 10.2 12 13.6 14.2 15.8 12.50 July 12.6 12.8 13 11 11 12.2 13 16.4 12.75 August 12.6 12.6 12.8 12.4 13 15.4 16.4 18 14.15 October 8.2 9.4 9.6 7.2 9 9.6 10.2 10.4 9.20 Total solids (mgL−1) April 2.2 2.25 2.34 2.32 2.44 2.52 2.58 3.4 2.51 July 2.34 2.36 2.41 2.54 2.62 2.64 2.78 3.48 2.65 August 2.3 2.3 2.39 2.48 2.6 2.62 2.67 3.96 2.67 October 2.1 2.01 2.28 1.7 2.12 2.18 2.28 2.38 2.13 −1 Total dissolved solids (mgL ) April 1.3 1.43 1.58 1.58 1.76 1.81 1.93 1.95 1.67 July 1.34 1.51 1.56 1.6 1.72 1.87 1.96 1.99 1.69 August 1.3 1.2 1.34 1.24 1.68 1.88 1.98 2.3 1.62 October 1.2 1.22 1.24 1.18 1.34 1.48 1.62 1.7 1.37 Total suspended solids (mgL−1) April 0.9 0.82 0.76 0.74 0.68 0.71 0.65 1.45 0.84 July 1 0.85 0.85 0.94 0.9 0.77 0.82 1.49 0.95 August 1 0.9 1.05 1.24 0.92 0.74 0.69 1.66 1.03 October 0.9 0.79 1.04 0.52 0.78 0.7 0.66 0.68 0.76 Nitrate nitrogen (μgL−1) April 180 187 210 177 225 230 230 235 209.25 July 198 200 205 196 226 232 236 244 217.13 August 267 268 280 210 247 287 310 325 274.25 October 160 176 188 140 160 187 196 230 179.63 Ammoniacal nitrogen (μgL−1) April 112 124 136 108 140 142 144 148 131.75 July 132 134 134 128 140 144 148 153 139.13 August 166 167 176 134 156 180 184 198 170.13 October 94 106 126 78 92 122 132 142 111.50 Orthophosphate phosphorus (μgL−1) April 24 28 42 32 44 38 44 46 37.25 July 30 42 42 34 48 62 66 72 49.50 August 32 44 46 44 48 64 68 80 53.25 October 18 28 32 22 30 38 42 46 32.00
  • 4. Environ Monit Assess Table 1 (continued) Parameters Month S1 S2 S3 S4 S5 S6 S7 S8 Average Total phosphorus (μgL−1) April 38 46 72 52 76 68 78 84 64.25 July 52 70 72 62 84 106 108 116 83.75 August 54 72 78 70 86 110 112 128 88.75 October 36 44 52 38 54 66 70 82 55.25 characteristics such as drainage density, channel slope, threat to the rich water resource of Lidder is the and basin relief ratio are also significantly positively seasonal inflow of Amarnath pilgrims during the pe- correlated with discharge and nutrient loss (Hill et al. riod from June to August. Thus, the main impact of 1978). Land cover change plays a pivotal role in regional undesirable human activities is responsible for accel- social and economic development and global environ- erated flow of nutrients from terrestrial to aquatic mental changes (Xiuwan 2002). A number of research portion of the catchment. In this context, the present works have been carried out by using various methodol- study was undertaken. ogies and algorithms to derive land cover and change information from different sets of remotely sensed data (Singh 1986, 1989; Tateishi and Kajiwara 1991; Study area Lichtenegger 1992; Muchoney and Haack 1994; Wismann 1994; Lambin 1996; Sailor et al. 1997; The study area is Lidder valley (Fig. 1) which lies to Romshoo 2003; Romshoo et al. 2011). Although tourism the North of Anantnag district (Jammu and Kashmir, plays a vital role in generating both national and local India) in the central Himalayan mountain range with revenue, it has an adverse effect on the environment the geographical coordinates of 33°4′–34°15′ N lati- (Pandey et al. 1995). The significance of ecological tude and 75°05′–75°32′ E longitude. The valley is impacts from tourism and recreation has been recognized 50 km long and has a varied topography with the widely by protected area management agencies and altitudinal extremes of 1,600–5,200 m. The most im- researchers (Buckley 2001, 2002; Leung and Marion portant settlement in the Lidder valley is the town of 2000; Newsome et al. 2002; Sirakaya et al. 2001). Pahalgam with a lot of hotels and restaurants. During recent years, rapid increase in the popula- Pahalgam is an important tourist destination and also tion has resulted in the establishment of new settle- gateway to many treks including the one to the holy ments in the catchment of Lidder River. Humans in the cave of Amarnath—sacred to Hindus. process began to degrade the environment, particularly Lidder River, one of the important right bank the aquatic ecosystem, by deforestation and denuda- tributaries of river Jhelum, is formed by two mountain tion of drainage basin. Also, vast forest areas were torrents which flow from North–East and North–West. converted to agriculture and pastures degraded be- The eastern stream trickles from the snow on the cause of overgrazing by the cattle. Population density southern slopes of Panjtarni Mountains and flows into also exerts an important influence on nutrient concen- oligotrophic Sheshnag Lake. Leaving the Sheshnag, trations in river systems (Caraco and Cole 1999). the stream flows in a westerly direction, joining the Predominantly urban catchments generally have in- western branch at Pahalgam. The western branch has creasing nutrient loading rates with an increasing per- its origin from Kolhai Mountains and is joined by the centage of impervious land area (Beaulac and stream flowing from Tarsar and Chandasar lakes. Reckhow 1982). This is attributable to the fact that After the confluence of the two streams at Pahalgam, hydraulic characteristics and land activities are influ- the river flows in southerly direction. In its passage ential factors in nutrient loading rates in urban land use through the lower part of the valley, the river separates areas. Currently, one of the visible problems with the into numerous channels in the vicinity of twin towns Lidder waters is high pollution load contributed by of Anantnag and Bijbehara. Lidder joins river Jhelum domestic, agricultural, and tourism sectors. One more at Gur after traveling a course of 70 km approximately.
  • 5. Environ Monit Assess The climate of the area is subhumid temperate. The Materials and methods major portion of rainfall is received from March to May, and the period from November to February receives Water quality analysis heavy snowfall. The geology of the area is mainly com- posed of Silurian Shale, Panjal Traps, Muth Quartizite, Eight water sampling sites were taken along the length Syringothris Limestone, Fenestella Shale, Quartzite, and of the river for physicochemical analysis (Fig. 1). Agglomeratic Slate (Middlemiss 1910; Bions and Before collecting the water samples, all the sample Middlemiss 1928), ranging in age from Devonian to bottles were washed with Laboline and rinsed with Upper Permian (Wadia 1976). A major fault roughly distilled water. Water sampling was done during morn- trending NNE–SSW has brought Fenestella Quartzite ing hours from 8:30 am to 12:00 noon. The samples in juxtaposition with Agglomeratic Slate (Kaul 1976). were collected in airtight glass jars of 3-l capacity. Lidder River serves as a drinking water source to a Separate samples were collected in 250-ml glass bot- huge population lying in its catchment. Besides, tles for the estimation of dissolved oxygen (DO). All Lidder River is important for agriculture as it serves the samples were transported to the laboratory for as a source of irrigation for the same. The river also refrigeration and were analyzed within 48 h. Twelve harbors rich resource of fisheries particularly brown physicochemical parameters were analyzed in the trout. Hence, the river is socioeconomically important present study which includes pH, electric conductivity, for the population in its catchment. dissolved oxygen, biological oxygen demand, total Fig. 2 Land use land cover map of Lidder River catchment
  • 6. Environ Monit Assess chlorides, total solids, total suspended solids, total water quality results in order to assess the impact of dissolved solids, ammoniacal nitrogen, nitrate nitro- tourism on water quality. gen, total phosphorus, and orthophosphate phospho- rus. Analysis was done for all the four seasons viz, Land use land cover mapping spring, summer, autumn, and winter in 2007. Analysis of physicochemical parameters was done priority- Bi-seasonal satellite data IRS-P6-LISS-III pertaining to wise. pH, conductivity, DO, nitrates, and phosphates October 2005 and May 2006 were used to map land were determined immediately followed by others. The cover types in Lidder catchment. IRS-P6-LISS-III with physicochemical parameters were analyzed as per as spatial resolution of 23.5 m, Path/Row 92/46 (19 standard methods (APHA and AWWA 1999). October 2005), 92/47 (19 October 2005), 93/46 (24 Dissolved oxygen was estimated by modified October 2005), 92/46 (26 May 2006), 92/47 (23 May Winkler’s method, total chlorides by argentometric 2006), and 93/46 (29 April 2006) were used. LISS III method (Mackerath et. al. 1978), ammoniacal nitrogen operates in four bands: green band with a wavelength and nitrate nitrogen by salicylate method (CSIR ranging from 0.52 to 0.59 μm, red band with a wave- 1974), and total phosphorus and orthophosphate phos- length ranging from 0.62 to 0.68 μm, near infrared band phorus by Stannous Chloride method (APHA 1999). with a wavelength ranging from 0.77 to 0.86 μm, and short-wave infrared with a wavelength ranging from Tourism data 1.55 to 1.70 μm. Land use land cover mapping was done as per the standards laid by NNRMS (Anonymous The environmental impact of tourism is assessed pri- 2005). For delineating land use land cover satellite data marily through the physicochemical analysis of water were processed. Processing of satellite data involved quality because it is an excellent indicator of human georectification, georeferencing, co-registration, and use of the ecosystem. Monthly tourism data from 1997 mosaicing appropriate scenes of the study area. to 2011 were acquired from Jammu and Kashmir Onscreen image interpretation technique was then Tourism Department to analyze the seasonal variation employed for differentiating Land Use Land Cover in tourist flow. Also, data pertaining to pilgrims visit- (LULC) after using various image-processing techni- ing holy Amarnath cave annually from 1979–2009 ques like image enhancement, filtering, etc. to enhance were acquired. Tourism data were correlated with the interpretability of the LULC classes. Table 2 Recent tourist inflow into Lidder valley Year Non-pilgrim tourists Total no. of tourists Domestic Foreign Local Pilgrim tourists 1997 6,340 291 5,396 79,035 91,062 1998 8,340 365 6,396 149,000 164,101 1999 58,162 673 36,322 114,000 209,157 2000 58,775 679 31,376 173,334 262,164 2001 49,744 650 29,205 119,037 198,636 2002 11,468 378 27,533 110,793 150,172 2003 60,249 1,301 375,263 153,314 590,127 2004 158,549 3,715 251,513 400,000 813,777 2005 273,121 3,899 440,649 388,000 1,105,669 2006 254,590 2,975 444,604 265,000 967,169 2007 149,413 2,094 341,966 213,565 707,038 2008 131,422 2,131 163,898 498,198 795,649 2009 130,675 2,106 451,546 373,419 957,746 2010 159,860 2,218 63,242 458,212 683,532 2011 277,731 4,918 422,712 635,000 1,350,361
  • 7. Environ Monit Assess Results and discussion as salts of sodium, potassium, and calcium. Chlorides are leached from various rocks into soil and water by Water quality weathering. The chloride ion is highly mobile and is transported to closed basins (WHO 1996). The con- The results of water quality analysis are summarized centration of total chlorides increased downstream in Table 1. Water was alkaline with pH value ranging which can be attributed to the waste inflow in the form from 7.1 to 8.43. Gradual increase in pH from site I to of domestic sewage. site VIII is related to increasing pollution pressure Dissolved oxygen showed inverse relationship with resulting because of tourist and agricultural activities temperature, which is in agreement with Henry’s Law in the catchment of Lidder. (IUPAC 1997). The maximum concentration of dis- Total chloride concentration ranged from 16 to solved oxygen was recorded in the spring season and 44 mgL−1. Chlorides are widely distributed in nature late autumn. Difference of nearly 2 mgL−1 between Fig. 3 a Total number of tourists visiting Lidder val- ley from 1997 to 2011. b Number of pilgrim tourists (Yatris) visiting Lidder val- ley from 1980 to 2011
  • 8. Environ Monit Assess upstream and downstream stations was observed in rus, and orthophosphate phosphorus showed almost a some months, which is an indicator of heavy organic similar trend as that of nitrates. Phosphorus contami- pollution in the lower reaches owing to flushing of nation is attributed to high anthropogenic pressure sewage directly into Lidder River by nearby settlements. (sites 6, 7, and 8) and presence of Silurian shale in TDS was maximum during summer months which the catchment of Lidder River (Middlemiss 1910). can be attributed to accelerated snowmelt, increasing runoff, rainfall in the catchment of Lidder, grazing, Tourist data analysis and tourist activities. Hence, the river downstream is affected by silt-impregnated waters derived from its Time series of the tourist data from 1997 to 2011 was catchment. analyzed (Table 2) to investigate if there is any link Calcium was the dominant cation at all stations between the deteriorating water quality and number of because of the presence of calcium-rich rocks tourist arrivals in Pahalgam. We also analyzed the (limestone) in the catchment of Lidder (Bions and number of pilgrim tourists visiting holy Amarnath Middlemiss 1928). The concentration increased from cave from 1980 to 2011 (Fig. 3). Both the data showed station I to station VIII. A similar behavior was shown an increasing trend across the years as is reflected by by magnesium whose concentration increased down- r2 values of 0.728 and 0.683, respectively. In the stream. The only source of magnesium is dolomite in 1990s, tourist inflow into the Lidder Valley was very the catchment of Lidder River. little owing to the turmoil in the region. Since 2003, Nitrate nitrogen increased significantly down- the situation improved, and there has been an expo- stream, which is related to the entry of nitrogenous nential surge in the number of tourists visiting Lidder wastes from tourist activities (bathing and defecating Valley (Fig. 3). Year 2011 saw more than 13.5 lakh on the river banks) and agricultural activities. tourists visiting Lidder valley, the highest number Agricultural activities are predominant in plains of recorded till date, while the lowest number has been Lidder valley (Fig. 2) which include Aishmuqam (site recorded in 1997. Similarly, 2011 saw 635,000 pilgrim 7), Mattan (site 8), and Bijbehara. The exceptionally tourists (highest) visiting Amarnath cave, while as the high nitrate concentration downstream can be attribut- pilgrim data show, a decrease in the 1980s and 1990s. ed to the use of large quantities of nitrogenous fertil- The ever increasing tourist inflow into Lidder valley izers in its catchment which ultimately find their way has serious ecological consequences especially pollut- in Lidder River. Ammoniacal nitrogen, total phospho- ing the pristine waters of the Lidder River. Table 3 Time series of total monthly tourists visiting Lidder valley from 1997 to 2008 (excluding pilgrim tourists) Year 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Month January 78 97 618 586 514 254 2,819 2,670 4,631 4,531 4,997 1,919 3,770 February 53 67 425 404 334 175 1,941 1,839 3,179 3,120 3,441 1,322 2,596 March 45 56 357 338 296 147 1,627 1,541 2,674 2,616 2,885 1,108 2,177 April 247 311 1,970 1,868 1,629 810 8,985 8,511 14,744 14,444 15,930 6,119 12,020 May 811 1,019 6,461 6,129 5,365 2,657 29,474 27,920 48,419 47,379 52,255 20,071 39,428 June 4,529 5,687 36,064 34,208 30,001 14,831 164,511 155,835 270,304 264,448 230,731 112,025 220,067 July 4,466 5,607 35,558 33,728 29,580 14,623 162,203 153,649 266,512 260,738 75,146 110,453 216,979 August 1,271 1,595 10,114 9,594 8,414 4,159 46,139 43,706 75,810 74,168 74,200 31,419 61,720 September 268 335 2,126 2,017 1,759 874 9,698 9,186 15,934 15,589 17,193 6,604 12,973 October 49 62 394 374 318 162 1,799 1,704 2,945 2,891 3,189 1,225 2,406 November 133 166 1,056 1,001 878 434 4,815 4,561 7,912 7,740 8,537 3,279 6,441 December 77 97 614 583 511 253 2,803 2,655 4,605 4,505 4,969 1,909 3,749 Total 12,027 15,101 95,757 90,830 79,599 39,379 436,813 413,777 717,669 702,169 493,473 297,451 584,327
  • 9. Environ Monit Assess As per analysis done by the Centre of Research for the main river front, thus exposing the water body to a Development (CORD) in 2011, about 2,682 metric high risk of contamination. There are also many areas tons of solid wastes were generated comprising in and around Pahalgam town without any solid waste 975 metric tons from hotels and 1,707 metric tons collection/disposal mechanism. The huge quantity from tourists. From June to August 2011, about of garbage, in dispersed form, is being disposed 83 % (2,231 metric tons) of total annual solid wastes off around these areas and finally finds its way were generated with an average generation of about into Lidder River. The pilgrimage tourist base 24.77 metric tons/day. The per capita generation of camps at Nunwan, Zagipal, Chandanwari, and solid waste is about 2.40 kg/day. In absence of any Sheshnag are not adequately equipped to suffi- proper waste disposal mechanism or facility, it has ciently deal with the scientific disposal of solid been observed that a considerable number of hotels wastes during the pilgrimage period. Considerable dump their wastes openly in the forest area and along quantities of solid waste from these camps, main Table 4 Correlation between average of water quality parameters and tourist arrival in Lidder vale (ρ is correlation coefficient) Parameters Number of tourists ρ Parameters Number of tourists ρ pH Conductivity (μScm−1) April 7.48 15,930 April 110.00 15,930 July 7.59 287,569 July 121.38 287,569 August 7.70 81,800 August 126.00 81,800 October 7.33 3,189 0.50 October 106.25 3,189 0.62 Total chloride (mgL−1) DO (mgL−1) April 22.25 15,930 April 9.80 15,930 July 35.25 287,569 July 8.03 287,569 August 35.25 81,800 August 7.30 81,800 October 21.50 3,189 0.77 October 11.28 3,189 −0.62 BOD (mgL−1) Total solids (mgL−1) April 12.50 15,930 April 2.51 15,930 July 12.75 287,569 July 2.65 287,569 August 14.15 81,800 August 2.67 81,800 October 9.20 3,189 0.40 October 2.13 3,189 0.61 TDS (mgL−1) TSS (mgL−1) April 1.67 15,930 April 0.84 15,930 July 1.69 287,569 July 0.95 287,569 August 1.62 81,800 August 1.03 81,800 October 1.37 3,189 0.58 October 0.76 3,189 0.56 NO3−–N (μgL−1) NH4+–N (μgL−1) April 209.25 15,930 April 131.75 15,930 July 217.13 287,569 July 139.13 287,569 August 274.25 81,800 August 170.13 81,800 October 179.63 3,189 0.21 October 111.50 3,189 0.28 OPP (μgL−1) TP (μgL−1) April 37.25 15,930 April 64.25 15,930 July 49.50 287,569 July 83.75 287,569 August 53.25 81,800 August 88.75 81,800 October 32.00 3,189 0.65 October 55.25 3,189 0.67
  • 10. Environ Monit Assess Fig. 4 Scatter diagram showing correlation between seasonal average of water quality parameters and tourist arrival in Lidder valley township of Pahalgam from locals and other tou- reckless tourist activities play a significant role in the rists, and trail garbage all along the pilgrimage alteration of water quality of Lidder. The highest value route to Amarnath cave finally find their disposal of correlation coefficient was shown by chlorides in the main water body of Lidder River. (0.77) followed by orthophosphate phosphorus Monthly tourism data from 1997–2009 (Table 3) (0.65), while a negative correlation was shown by were correlated (Pearson and Lee 1896) with seasonal dissolved oxygen (ρ0−0.62). variation in water quality parameters. Correlation be- Hence, accelerated flow of tourists from June to tween tourism influx into the Lidder Valley and sea- August causes deterioration in water quality of sonal variation in water quality showed a positive Lidder River. Due to the increase in the tourist inflow, trend for all the water quality parameters except dis- there has been a significant impact on deteriorating solved oxygen (Table 4, Fig. 4), suggesting that water quality of Lidder River. This is evidenced from
  • 11. Environ Monit Assess the past data (Bhat and Yousuf 2003). Water quality extents. Land use has a considerable role in affecting parameters especially dissolved oxygen, ammoniacal water quality of streams (Horner et al. 1996). If catch- nitrogen, and total phosphorus are showing a change ment is covered with impervious surfaces, such as in their concentration when we compare 2003 WQ roads and parking facilities, the water quality of data with the 2007 observed data (Table 5). streams is seriously degraded. Agriculture as a non- Dissolved oxygen showed a slight decrease by point pollution source greatly affects water quality of 0.07 mgL−1, while ammoniacal nitrogen and total streams due to use of pesticides and fertilizers which phosphorus showed a significant increase by 120.7 after degradation find their way into the streams di- and 51.75 μgL−1, respectively. This could be attribut- rectly causing enrichment in the concentration of ni- ed to the increased tourist flow over the years (Fig. 3) trogen and phosphorus compounds, thereby affecting in addition to the extensive agricultural and horticul- the biota of stream (Botkin and Keller 2009). People tural practices employed by the people in the living in the catchment of Lidder are shifting their land catchment. use from agriculture to orchards owing to the decrease in discharge of Lidder due to changing climate. Land use land cover Moreover, apple orchards are economically more viable as compared to agriculture. The spatial extent of agri- Knowledge of land use and land cover is important for culture has decreased from 120.27 km2 (Zaz and many planning and management activities and is con- Romshoo 2008) in 1972 to 108.58 km2 in 2006. The sidered an essential element for understanding the area under orchards was 17.65 km2 in 1972 (Zaz and earth system (Lillesand et al. 2004). Using on-screen Romshoo 2008), while it is 73.03 km2 as of 2006 digitization, 13 land use land cover classes were de- showing more than a fourfold increase during the past lineated (Fig. 2, Table 6) based on shape, size, pattern, 34 years. A zoomed-in view showing change in land use tone, texture, and association (Oslon 1960). These from agriculture to orchards in Lidder valley from 1992 include bare rock, barren land, coniferous forest, crop- to 2005 can be seen in Fig. 5. Though the area under land, degraded forest, grassland, orchards, perennial agriculture has reduced considerably, the increased use snow, plantation, scrub, settlements, water body, and of fertilizers over the years has led to the deterioration in wetland. This was followed by extensive ground ver- the water quality of Lidder especially in the lower plains ification where a total of 202 ground samples were taken. The overall accuracy of the delineated LULC map was 93.56 % (Table 7), modified after incorpo- Table 6 Land use land cover statistics of Lidder Valley rating necessary field information. Coniferous forest Class name Area (km2) % age (20.45 %) was the most dominant land cover type followed by scrub (15.33 %), perennial snow Bare rock 110.86 8.90 (14.43 %), degraded forest (12.65 %), bare rock Barren land 67.39 5.41 (8.9 %), and cropland (8.74 %), while wetland Coniferous forest 254.81 20.45 (0.16 %) was the least dominant class as per the spatial Cropland 108.86 8.74 Degraded forest 157.56 12.65 Grassland 43.77 3.51 Table 5 Change in physicochemical characteristics of water from 2003 to 2007 Orchards 73.03 5.86 Plantation 32.17 2.58 Year 2003a 2007 Change Perennial snow 179.72 14.43 Parameter Scrub 190.94 15.33 Dissolved oxygen (mgL−1) 9.17 9.1 -0.07 Settlements 7.13 0.57 Ammoniacal nitrogen (μgL−1) 17.42 138.13 +120.71 Water body 17.50 1.40 −1 Total phosphorus (μgL ) 21.25 73 +51.75 Wetland 1.98 0.16 a Total area 1,245.73 100.00 Bhat and Yousuf 2003
  • 12. Environ Monit Assess Table 7 Accuracy assessment of land use/land cover Reference data BR BL CL CF FP GL OF OR PS SF SE WA WE Row total Classification data BR 7 1 0 0 0 0 0 0 0 0 0 0 0 8 BL 0 5 0 0 0 0 0 0 0 1 0 0 0 6 CF 0 0 44 0 0 0 2 0 0 1 0 0 0 47 CL 0 0 0 23 0 0 0 1 0 0 0 0 0 24 FP 0 0 0 0 13 0 1 0 0 0 0 0 0 14 GL 0 0 1 0 0 19 0 0 0 1 0 0 0 21 OF 1 0 0 0 0 0 12 0 0 1 0 0 0 14 OR 0 0 0 1 0 0 0 12 0 0 0 0 0 13 PS 0 0 0 0 0 0 0 0 6 0 0 0 0 6 SF 0 0 0 0 1 0 0 0 0 27 0 0 0 28 SE 0 0 0 0 0 0 0 0 0 0 8 0 0 8 WA 0 0 0 0 0 0 0 0 0 0 0 6 0 6 WE 0 0 0 0 0 0 0 0 0 0 0 0 7 7 Column Total 8 6 45 24 14 19 15 13 6 31 8 6 7 202 Producer’s accuracy User’s accuracy BR0(7/8)×100087.50 % BR0(7/8)×100087.50 % BL0(5/6)×100083.33 % BL0(5/6)×100083.33 % CF0(44/45)×100097.77 % CF0(44/47)×100093.62 % CL0(23/24)×100095.83 % CL0(23/24)×100095.83 % FP0(13/14)×100092.86 % FP0(13/14)×100092.86 % GL0(19/19)×1000100.00 % GL0(19/21)×100090.48 % OF0(12/15)×100080.00 % OF0(12/14)×100085.71 % OR0(12/13)×100092.31 % OR0(12/13)×100092.31 % PS0(6/6)×1000100.00 % PS0(6/6)×1000100.00 % SF0(27/31)×100087.1 % SF0(27/28)×100096.43 % SE0(8/8)×1000100.00 % SE0(8/8)×1000100.00 % WA0(6/6)×1000100.00 % WA0(6/6)×1000100.00 % WE0(7/7)×1000100.00 % WE0(7/7)×1000100.00 % Overall accuracy0[(7+5+44+23+13+19+12+12+6+27+8+6+7)/202]×100093.56 % BR bare rock, BL barren land, CF coniferous forest, CL cropland, FP forest plantation, GL grassland, OF open forest, OR orchards, PS perennial snow, SF-scrub forest, SE settlements, WA water body, WE wetland of the catchment. During the period from 1980 to 1981, impact on the deteriorating water quality of Lidder 24.14 kg/ha of fertilizers were used (Anonymous 2008). waters in the low lying areas of the catchment espe- Over the course of time, people started to extensively cially around site 7 (Aishmuqam) and site 8 (Mattan) use fertilizers to increase the crop productivity, and the where land use is dominated by agriculture. In many application of fertilizers increased 44.21 kg/ha in 2002– areas of the Kashmir valley, economic factors and 2003. An all-time high rate of fertilizer application of decreasing stream flows are the driving forces for the 97.03 kg/ha was used for 2007–2008 (Anonymous change of land use from water-intensive agriculture 2008). The excessive use of fertilizers has a significant to orchards.
  • 13. Environ Monit Assess Fig. 5 Land use change from agriculture to orchards in Lidder valley from 1992 to 2005 Conclusion phosphorus, and BOD from April to August. Due to the increase of these nutrients, the ecology of the river is Various land use practices in the catchment of Lidder changing and adversely affecting the distribution of River that has tremendous ecological and socioeco- aquatic flora and fauna therein. The direct discharge of nomic importance depict the way we are treating our the effluents and sewage from the surrounding areas into fresh water ecosystems. From the analysis and discus- the Lidder River has increased the nutrient loading in the sion of the results, it is concluded that the main rea- Lidder River. As a result of nutrient enrichment, a drop in sons for the deterioration of the water quality of Lidder the oxygen content has been observed which has direct River are increase in the nutrient and silt load from the bearing on abundance of aquatic fauna (like fishes catchment due to reckless use of pesticides and fertil- especially trout). izers, encroachment, and unplanned urbanization in the The waters of Lidder are simultaneously subjected vicinity of the river. This fact has been substantiated by to multiple and competing uses. This serves domestic, the physicochemical characteristics of the river. The agriculture, irrigation, and other commercial sectors physicochemical analysis shows an increase of most of (including hotels at Pahalgam) sectors, which have a the water quality parameters particularly nitrate nitrogen, direct bearing on the water quality of Lidder River. It ammoniacal nitrogen, total phosphorus, orthophosphate is inferred from the study that pollution load increased
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