SlideShare ist ein Scribd-Unternehmen logo
1 von 4
Downloaden Sie, um offline zu lesen
J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15
www.ijera.com 12|P a g e
Sediment Yield Studies For Selected Catchments in
Visakhapatnam District, Andhra Pradesh
J. Rangaiah1
, Dr. P. Udaya Bhaskar2
, Dr. V. Mallikarjuna3
1
(Department of Civil Engineering, L.B.R.C.E., Mylavaram-521 230)
2
(Department of Civil Engineering, JNTUK, Kakinada-533 003)
3
(Department of Civil Engineering, V.R.S.C.E, Vijayawada-520 007)
ABSTRACT
Sediment yield studies determine the amount of sediment that leaves a basin for an event or over a period of
time. The sediment yield provides the necessary input to determine sedimentation impacts on a reservoir. Each
reservoir project requires a sediment yield analysis to determine the storage depletion resulting from the
deposition of sediment during the life of the project. The main object of the present study is to identify the
particular suitable theoretical method to predict the sediment rate for selected catchments by comparing with the
hydrographic survey results.Literature review has enabled the identification of three methods for determining
the rate of sediment yield. These methods are (a) Grade’s method (b) Khosla’s method (c)
Joglekar’smethod.Rate of sediment yield obtained from Khosla’s method is close to the rate computed form the
hydrographic survey data for Thandava and KonamReservoirs. For the reservoir on Raiwada Reservoir,
Joglekar’s method is found to give sediment rate closer to the value arrived from hydrographic survey data.
Keywords:Sediment yield, Khosla’s method, Grade’s method, Joglekar’s method.
I. INTRODUCTION
1.1 General
Sediment yield is among the most difficult
parameters to be accurately measured in the field,
but accurate measurements are essential to provide
the data required for better understanding of the
delivery process. The quantity of sediment
delivered to a reservoir depends on the rate of gross
or absolute erosion in the watershed and the ability
of the stream system to transport eroded material to
the reservoir. The rate of gross erosion depends on
climatic conditions, nature of the soils, slopes,
topography and land use, while the ability of a
stream to transport the eroded material to a
reservoir depends on the hydro-physical conditions
of the watershed.Sediment deposition in reservoirs
is a complex and troublesome process. It piles up
the debris behind a dam thereby reducing the
capacity of the reservoir and its service function.
The problem of essential concern is understand the
rate at which the reservoir is filling and identifies
the steps to be taken to minimise the loss of
reservoir capacity so that the life of the reservoir
may be prolonged.
1.2 Need for Study of Reservoir Sedimentation
In the view of the risk involved in silting,
the sedimentation study should forecast sediment
yield, so that the sediment yield may be calculated
and carefully watched and remedial measures are
undertaken well in advance.For reservoirs proposed
for future construction, sedimentation is
particularly important on such projects as would be
built on streams carrying heavy sediment flows. In
such areas rates of reservoir sedimentation must be
estimated accurately in order to ascertain the useful
life of reservoir. Such determinations are the basic
needs in evaluating the economic feasibility of the
project on silt-laden streams.
1.3 Study Area
Visakhapatnam district is a part of North
Coastal Andhra Pradesh in India. The district is
bounded on the north partly by the Orissa State and
partly by Vizianagaram district, on the south by
East Godavari district, on the west by Orissa state
and on the east by Bay of Bengal. The total
geographical area of the district is 11,340 sq.km.
The chief water sources of the district are Sarada,
Varaha and Thandava rivers and Rivulets
Mehadrigedda, Gambhiramgedda and
Madhurawada drainage basin in the plain sabari
basin a tributary to Godavari River in the agency
belt. The net area sown in the district is 3,52,500
ha.
Fig 1.1 Study Area
RESEARCH ARTICLE OPEN ACCESS
J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15
www.ijera.com 13|P a g e
The Thandava Reservoir project was
constructed across river Thandava near
GantavaniKothagudem village in Kotauratlamandal
of Visakhapatnam district. The construction of the
project was commenced in the year 1965 and
completed in the year 1974 to create a storage
capacity of 140.428 M.cum at FRL. An earth dam
for a length of 201.17m was constructed in the
main gorge portion of the river and the surplus has
been arranged through a regulator constructed in
another valley about 3km away from earth dam.
The global co-ordinates are, east longitude 820
-17’-
20” and north latitude 170
-17’-50” respectively.
The Konam reservoir project was
constructed across the river Bodderu, a tributary to
SharadaRiver at Konam village, in
Cheedikadamandal of Visakhapatnam district. The
Konam reservoir was constructed in the year 1979
to create a storage capacity of 24.0833 M.cum at
FRL. The length of the earth dam is 300 m. The
global co-ordinates are, east longitude of 820
-51’-
50” and north latitude 170
-58’-30” respectively.
The Raiwada Reservoir project was
constructed across the river Sharada near
Raiwadavillage in Devarapallimandal of
Vishakapatnam district. The Raiwada reservoir was
constructed in the year 1983 to create a storage
capacity of 101.93 M.cum at FRL. The length of
the earth dam is 5.75km. The global co-ordinates
are east longitude 820
-59’-00” and north latitude
180
-00’-30” respectively.
II. METHODOLOGY AND DATA
2.1 General
Sediment is defined geologically as any
fragmental material transported by, suspended in,
or deposited by water or air. The amount of
sediment, which is collected at the outlet of the
watershed, is termed as sediment yield. Several
empirical models have been developed to estimate
the sediment yield from a catchment. Most of these
models are statistically established based on
observed data, which are usually easier to use and
computationally efficient. Some of these models
were used in the present study after taking into
consideration their applicability and data
availability.
2.2 Grade’s Method
Grade et al (1983) proposed the following
equation, which considers various hydrologic
factors, like annual rainfall, annual runoff,
catchment area, slope, drainage density and
vegetative cover factor.
Vs = 1.067 x 10-6
x A1.29
x P1.38
x Dd
0.4
x S0.13
x
Fc
2.51
Eq-2.1
Where,
Vs = Sediment yield in Mm3
/ Year,
A = Catchment Area in sq.km,
P = Average Annual Precipitation in cm,
Dd = Drainage Density in km-1
S = Average Slope of the Area
= It is the ratio of the difference between the levels
of end points of main streams to the length of the
stream.
Dd = It is the ratio of total length of all streams of
the catchment to total area of the catchment.
Fc = Vegetation cover Factor
= It has been arrived by regrouping the land use /
land cover classification into F1, F2, F3, F4& F5 and
is estimate using the following formula.
Fc = (0.2xF1+0.2xF2+0.6xF3+0.8xF4+F5) /
(F1+F2+F3+F4+F5) Eq-2.2
In which,
F1 = Area under reserve and protected forest =
(Deciduous forest (Dense + Open) + forest
plantations)
F2 = Unclassified forest area,
F3 = Cultivated area,
= (Khariff unirrigated + Khariff irrigated +
Agricultural Plantations + double crop land)
F4 = Grass and pasture land and
F5 = Waste land.(Land with scrub + Land without
scrub + Degraded / Scrub
Forest + Rocky barren land)
2.3 Khosla’s Method
Khosla (1953) considered catchment area
to be the only major parameter affecting the
sediment. The equation for the estimation of
sediment yield developed Khosla is given as
Vs = 0.00323 x A0.72
Eq-2.3
Where,Vs = Annual sediment yield in M.cum
A = Catchment area in sq.km
2.4 Joglekar’s Method
Joglekar (1960) considered catchment area
to be the only major parameter affecting the
sediment. Based on data from reservoirs from India
and abroad, Joglekar expressed the annual sediment
yield rate as
Vs = 0.00597 x A0.72
Eq-2.4
Where, Vs = Annual sediment yield in
M.cum
A = Catchment area in sq.km
The sediment rates obtained from these
three methods (Grade’s, Khosla’s, and Joglekar’s
method)are compared with the hydrographic survey
results of APERL, Hyderabad.
2.5 Data
The data required for theoretical
computations are presented here. The various
parameters involved in the computation of
sediment yield are listed in following table and the
source of this data is also indicated in this table.
J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15
www.ijera.com 14|P a g e
Table 2.1 Parameters involved in the sediment
yield computation formulas
The hydrographic survey results are
obtained from the records of APERL, Hyderabad is
presented here.
Table 2.2 Hydrographic Survey Results for
Three Reservoirs
III. DISCUSSION OF RESULTS
3.1 General
The sediment yield computations for the
selected reservoirs are presented in the following
section. Theoretical computations of sediment yield
rates are carried out in the present investigation
using Grade’s method, Khosla’s method and
Joglekar’s method. The theoretical results obtained
for each of the three reservoirs are compared with
the rate of sediment yield computed using the data
of hydrographic survey conducted by APERL,
Hyderabad for these reservoirs during different
periods.
3.2 Sediment Yield for Thandava Reservoir
The following table indicate the sediment
yield rates obtained for the Thandava reservoir
using Grade’s method, Khosla’s method and
Joglekar’s method. These results are compared
with the sediment yield obtained with the help of
hydrographic survey data (Actual data). It is seen
from this table that the sediment yield rate obtained
using Khosla’s method is close to the rate observed
through hydrographic survey.
Table 3.1 Comparison of Actual and Estimated
Sediment Yields for Thandava Reservoir
3.3 Sediment Yield for Konam Reservoir
The following table contain the theoretical
results of sediment yield for Konam Reservoir and
compared with the results obtained from the
hydrographic survey (Actual results). It is seen
from this table that the sediment yield rate obtained
using Khosla’s method is close to the rate observed
through hydrographic survey.
Table 3.2 Comparison of Actual and Estimated
Sediment Yields for Konam Reservoir
3.4 Sediment Yield for Raiwada Reservoir
The following table contain the theoretical
results of sediment yield for Raiwada Reservoir
and compared with the results obtained from the
hydrographic survey (Actual results). It is seen
from this table that the sediment yield rate obtained
using Joglekar’s method is close to the rate
observed through hydrographic survey.
J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15
www.ijera.com 15|P a g e
Table 3.3 Comparison of Actual and Estimated
Sediment Yields for Raiwada Reservoir
The annual sediment yield estimate from
Grade’s method is lower than the result obtained
through hydrographic survey data and the
percentage deviation obtained from Grade’s
method for Thandava, Konam and Raiwada
reservoirs are -32.26%, -61.09% and -66.35%
respectively. The annual sediment yield estimate
from Joglekar’smethodare+137.51% and +121.88
% higher than the result obtained through
hydrographic survey data for Thandava and Konam
reservoirs but the annual sediment yield estimate
from Joglekar’s method is closer to the result
obtained through hydrographic survey data for
Raiwada reservoir and the percentage deviation
obtained from Joglekar’s method is +1.78 %. The
annual sediment yield estimate from Khosla’s
method is close to the result obtained through
hydrographic survey data and the percentage
deviation obtained from Khosla’s method is
consistently low at +0.61% and -2.24% for
Thandava and Konam reservoirs. The percentage
deviation in case of Raiwada reservoir is higher at -
56.79%.
Fig. 3.1 Comparison of Actual and Estimated
Sediment Yields for selected reservoirs
IV. CONCLUSIONS
Rate of sediment yield obtained from
Khosla’s method is closed to the rate computed
from the hydrographic survey data for
Thandava&Konam Reservoirs. For the reservoir on
Raiwada, Joglekar’s method is found to give
sediment rate closer to the value arrived from
hydrographic survey data.
V. SCOPE FOR FURTHER STUDY
The following scope has been identified
and the same is suggested further study.
(1) The relevant parameters involved in the
sediment yield equations can be arrived using
the remote sensing imageries instead of S.O.I
top sheets.
(2) Suitable sediment controlling techniques may
be identified for increasing the life of the
reservoirs.
(3) Only 3 methods are chosen here to compute
the rate of sediment yield into the reservoir.
Other methods can also be considered.
REFERENCE
[1]. Gottschalk L.C.,(1952) “Measurement of
sedimentation in small Reservoirs”, with
discussions A.S.C.E. Transactions,
Vol.117.
[2]. Grade.R.J. and Kothyari, D.C., Sediment
Yield Estimations, J1. of Irrigation and
Power, CBIP, India, Vol.44, No.3,1987.
[3]. Grade.R.J.,andRangaraju, K.G.,
Mechanics of Sediment Transportation
and Alluvial Stream Problems,2nd
Ed.
Wiley Eastern Ltd., New Delhi, 1977.
[4]. Joglekar D.V.,(1960) “Silting of
Reservoirs”, Journal of the Institution of
Engineers (India), Voll.40.8, PartI.
[5]. Khosla A.N., (1953) “Silting of
Reservoirs”, Central Board of Irrigation
and power, Publication No.51.
[6]. Murthy B.N., (1980) “Life of reservoir”,
publication 89, central board of irrigation
and power, New Delhi.
[7]. “Records of Irrigation Department” (2004)
Irrigation Circle, Visakhapatnam.
[8]. “Report on the hydrographic surveys of
Thandava reservoir”, (1991)
A.P.Engineering Research Laboratories.
Hyderabad.
[9]. “Report on the hydrographic surveys of
Konam reservoir”, (1992) A.P.
Engineering Research Laboratories.
Hyderabad.
[10]. “Report on the hydrographic surveys of
Raiwada reservoir”, (1993) A.P.
Engineering Research Laboratories.
Hyderabad.

Weitere ähnliche Inhalte

Was ist angesagt?

Critical analysis of sedimentation assessment of reservoirs of nagpur region ...
Critical analysis of sedimentation assessment of reservoirs of nagpur region ...Critical analysis of sedimentation assessment of reservoirs of nagpur region ...
Critical analysis of sedimentation assessment of reservoirs of nagpur region ...IAEME Publication
 
Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...
Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...
Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...RINKU MEENA
 
Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...
Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...
Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...IJERD Editor
 
Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...
Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...
Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...Dr Ramesh Dikpal
 
Quantitative evaluation and analysis of morphometric parameters derived from ...
Quantitative evaluation and analysis of morphometric parameters derived from ...Quantitative evaluation and analysis of morphometric parameters derived from ...
Quantitative evaluation and analysis of morphometric parameters derived from ...AM Publications
 
Remote Sensing & GIS based drainage morphometry
Remote Sensing & GIS based drainage morphometryRemote Sensing & GIS based drainage morphometry
Remote Sensing & GIS based drainage morphometryAkshay Wakode
 
Studies of Hydrogeochemical in Groundwater Quality around Chakghat Area, Rew...
Studies of Hydrogeochemical in Groundwater Quality around Chakghat  Area, Rew...Studies of Hydrogeochemical in Groundwater Quality around Chakghat  Area, Rew...
Studies of Hydrogeochemical in Groundwater Quality around Chakghat Area, Rew...IJMER
 
Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...eSAT Publishing House
 
Morphometry hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...
Morphometry  hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...Morphometry  hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...
Morphometry hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...Mohammed Badiuddin Parvez
 
Morphometric analysis of vrishabhavathi watershed using remote sensing and gis
Morphometric analysis of vrishabhavathi watershed using remote sensing and gisMorphometric analysis of vrishabhavathi watershed using remote sensing and gis
Morphometric analysis of vrishabhavathi watershed using remote sensing and giseSAT Journals
 
Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...
Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...
Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...eSAT Publishing House
 
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...Determination of Optimum Site for Artificial Recharge Aided Geographical Info...
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...IJMER
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...eSAT Publishing House
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...eSAT Journals
 
Regression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna riverRegression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna riverAlexander Decker
 

Was ist angesagt? (18)

Critical analysis of sedimentation assessment of reservoirs of nagpur region ...
Critical analysis of sedimentation assessment of reservoirs of nagpur region ...Critical analysis of sedimentation assessment of reservoirs of nagpur region ...
Critical analysis of sedimentation assessment of reservoirs of nagpur region ...
 
Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...
Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...
Morphometric Analysis and prioritization of watersheds of Mahanadi River Basi...
 
Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...
Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...
Morphometric Analysis of Markandeya River Sub Basin (MRSB), Belgaum District,...
 
Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...
Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...
Morphometric Studies of Fourth order Sub-Basins (FOSB’s) in North Bangalore M...
 
04 mb.v.h
04 mb.v.h04 mb.v.h
04 mb.v.h
 
Quantitative evaluation and analysis of morphometric parameters derived from ...
Quantitative evaluation and analysis of morphometric parameters derived from ...Quantitative evaluation and analysis of morphometric parameters derived from ...
Quantitative evaluation and analysis of morphometric parameters derived from ...
 
Remote Sensing & GIS based drainage morphometry
Remote Sensing & GIS based drainage morphometryRemote Sensing & GIS based drainage morphometry
Remote Sensing & GIS based drainage morphometry
 
Studies of Hydrogeochemical in Groundwater Quality around Chakghat Area, Rew...
Studies of Hydrogeochemical in Groundwater Quality around Chakghat  Area, Rew...Studies of Hydrogeochemical in Groundwater Quality around Chakghat  Area, Rew...
Studies of Hydrogeochemical in Groundwater Quality around Chakghat Area, Rew...
 
2 ijsrms-02753
2 ijsrms-027532 ijsrms-02753
2 ijsrms-02753
 
Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...Water and soil quality aspects of nelligudde reservoir catchment and command ...
Water and soil quality aspects of nelligudde reservoir catchment and command ...
 
Morphometry hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...
Morphometry  hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...Morphometry  hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...
Morphometry hypsometry_analysis_and_runoff_estimation_of_aam_talab_watershed...
 
Morphometric analysis of vrishabhavathi watershed using remote sensing and gis
Morphometric analysis of vrishabhavathi watershed using remote sensing and gisMorphometric analysis of vrishabhavathi watershed using remote sensing and gis
Morphometric analysis of vrishabhavathi watershed using remote sensing and gis
 
Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...
Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...
Morphometric analysis of a vrishabhavathi sub watershed upstream side of gali...
 
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...Determination of Optimum Site for Artificial Recharge Aided Geographical Info...
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...
 
Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...Water quality modeling of an agricultural watershed with best management prac...
Water quality modeling of an agricultural watershed with best management prac...
 
Regression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna riverRegression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna river
 
EVALUATION OF DRAINAGE WATER QUALITY FOR IRRIGATION BY INTEGRATION BETWEEN IR...
EVALUATION OF DRAINAGE WATER QUALITY FOR IRRIGATION BY INTEGRATION BETWEEN IR...EVALUATION OF DRAINAGE WATER QUALITY FOR IRRIGATION BY INTEGRATION BETWEEN IR...
EVALUATION OF DRAINAGE WATER QUALITY FOR IRRIGATION BY INTEGRATION BETWEEN IR...
 

Andere mochten auch

Fuzzy AndANN Based Mining Approach Testing For Social Network Analysis
Fuzzy AndANN Based Mining Approach Testing For Social Network AnalysisFuzzy AndANN Based Mining Approach Testing For Social Network Analysis
Fuzzy AndANN Based Mining Approach Testing For Social Network AnalysisIJERA Editor
 
Accelerating green building growth with old & new policy instruments
Accelerating green building growth with old & new policy instrumentsAccelerating green building growth with old & new policy instruments
Accelerating green building growth with old & new policy instrumentsIJERA Editor
 
Security in Cloud Computing For Service Delivery Models: Challenges and Solut...
Security in Cloud Computing For Service Delivery Models: Challenges and Solut...Security in Cloud Computing For Service Delivery Models: Challenges and Solut...
Security in Cloud Computing For Service Delivery Models: Challenges and Solut...IJERA Editor
 
K-Means Segmentation Method for Automatic Leaf Disease Detection
K-Means Segmentation Method for Automatic Leaf Disease DetectionK-Means Segmentation Method for Automatic Leaf Disease Detection
K-Means Segmentation Method for Automatic Leaf Disease DetectionIJERA Editor
 
A Review on Mobile Cloud Learning In Higher Education
A Review on Mobile Cloud Learning In Higher EducationA Review on Mobile Cloud Learning In Higher Education
A Review on Mobile Cloud Learning In Higher EducationIJERA Editor
 
Implementing an Android Tool for Visually Impaired Students of E-Learning
Implementing an Android Tool for Visually Impaired Students of E-LearningImplementing an Android Tool for Visually Impaired Students of E-Learning
Implementing an Android Tool for Visually Impaired Students of E-LearningIJERA Editor
 
Development of a Student Database Management System for a University
Development of a Student Database Management System for a UniversityDevelopment of a Student Database Management System for a University
Development of a Student Database Management System for a UniversityIJERA Editor
 
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...IJERA Editor
 
Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...
Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...
Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...IJERA Editor
 
Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...
Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...
Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...IJERA Editor
 
Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...
Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...
Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...IJERA Editor
 
Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...
Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...
Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...IJERA Editor
 
Influence of variable water-soluble soy extract and inulin contents on the rh...
Influence of variable water-soluble soy extract and inulin contents on the rh...Influence of variable water-soluble soy extract and inulin contents on the rh...
Influence of variable water-soluble soy extract and inulin contents on the rh...IJERA Editor
 
Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...
Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...
Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...IJERA Editor
 
Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...
Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...
Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...IJERA Editor
 
Broadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max Applications
Broadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max ApplicationsBroadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max Applications
Broadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max ApplicationsIJERA Editor
 
Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...
Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...
Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...IJERA Editor
 
ASCII Value Based Encryption System (AVB)
ASCII Value Based Encryption System (AVB)ASCII Value Based Encryption System (AVB)
ASCII Value Based Encryption System (AVB)IJERA Editor
 
Strength and Durability Test of Fly Ash and GGBS Based Geopolymer Concrete
Strength and Durability Test of Fly Ash and GGBS Based Geopolymer ConcreteStrength and Durability Test of Fly Ash and GGBS Based Geopolymer Concrete
Strength and Durability Test of Fly Ash and GGBS Based Geopolymer ConcreteIJERA Editor
 

Andere mochten auch (19)

Fuzzy AndANN Based Mining Approach Testing For Social Network Analysis
Fuzzy AndANN Based Mining Approach Testing For Social Network AnalysisFuzzy AndANN Based Mining Approach Testing For Social Network Analysis
Fuzzy AndANN Based Mining Approach Testing For Social Network Analysis
 
Accelerating green building growth with old & new policy instruments
Accelerating green building growth with old & new policy instrumentsAccelerating green building growth with old & new policy instruments
Accelerating green building growth with old & new policy instruments
 
Security in Cloud Computing For Service Delivery Models: Challenges and Solut...
Security in Cloud Computing For Service Delivery Models: Challenges and Solut...Security in Cloud Computing For Service Delivery Models: Challenges and Solut...
Security in Cloud Computing For Service Delivery Models: Challenges and Solut...
 
K-Means Segmentation Method for Automatic Leaf Disease Detection
K-Means Segmentation Method for Automatic Leaf Disease DetectionK-Means Segmentation Method for Automatic Leaf Disease Detection
K-Means Segmentation Method for Automatic Leaf Disease Detection
 
A Review on Mobile Cloud Learning In Higher Education
A Review on Mobile Cloud Learning In Higher EducationA Review on Mobile Cloud Learning In Higher Education
A Review on Mobile Cloud Learning In Higher Education
 
Implementing an Android Tool for Visually Impaired Students of E-Learning
Implementing an Android Tool for Visually Impaired Students of E-LearningImplementing an Android Tool for Visually Impaired Students of E-Learning
Implementing an Android Tool for Visually Impaired Students of E-Learning
 
Development of a Student Database Management System for a University
Development of a Student Database Management System for a UniversityDevelopment of a Student Database Management System for a University
Development of a Student Database Management System for a University
 
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...
 
Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...
Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...
Improving the Reliability of Synthetic S-Wave Extraction Using Biot-Gassman F...
 
Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...
Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...
Real-Time Load Monitoring By Microcontroller to Optimize Electric Power Utili...
 
Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...
Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...
Visible Light Assisted Degradation of Eosin Yellow using Heteroatom Functiona...
 
Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...
Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...
Optimization of Thermal Performance of Solar radiation for Optimum Geometrica...
 
Influence of variable water-soluble soy extract and inulin contents on the rh...
Influence of variable water-soluble soy extract and inulin contents on the rh...Influence of variable water-soluble soy extract and inulin contents on the rh...
Influence of variable water-soluble soy extract and inulin contents on the rh...
 
Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...
Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...
Design and Simulation of a Smart Home managed by an Intelligent Self-Adaptive...
 
Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...
Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...
Analysis of the Interaction between A Fluid and A Circular Pile Using the Fra...
 
Broadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max Applications
Broadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max ApplicationsBroadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max Applications
Broadband Slotted Rectangular Shaped Microstrip Antenna For WI-Max Applications
 
Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...
Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...
Statistical Analysis of Ground Water Quality in Rural Areas of Uttar Pradesh ...
 
ASCII Value Based Encryption System (AVB)
ASCII Value Based Encryption System (AVB)ASCII Value Based Encryption System (AVB)
ASCII Value Based Encryption System (AVB)
 
Strength and Durability Test of Fly Ash and GGBS Based Geopolymer Concrete
Strength and Durability Test of Fly Ash and GGBS Based Geopolymer ConcreteStrength and Durability Test of Fly Ash and GGBS Based Geopolymer Concrete
Strength and Durability Test of Fly Ash and GGBS Based Geopolymer Concrete
 

Ähnlich wie Sediment Yield Studies For Selected Catchments in Visakhapatnam District, Andhra Pradesh

Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...
Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...
Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...IRJET Journal
 
IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...
IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...
IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...IRJET Journal
 
Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...
Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...
Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...IRJET Journal
 
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...IRJET Journal
 
WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...
WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...
WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...IRJET Journal
 
Assessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation useAssessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation useeSAT Journals
 
Assessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation useAssessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation useeSAT Publishing House
 
Assessment, analysis and study of encroachments and change in natural water f...
Assessment, analysis and study of encroachments and change in natural water f...Assessment, analysis and study of encroachments and change in natural water f...
Assessment, analysis and study of encroachments and change in natural water f...eSAT Journals
 
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...IRJET Journal
 
IRJET- Morphometric Analysis of Venna River Basin using Geospatial Tool
IRJET- Morphometric Analysis of Venna River Basin using Geospatial ToolIRJET- Morphometric Analysis of Venna River Basin using Geospatial Tool
IRJET- Morphometric Analysis of Venna River Basin using Geospatial ToolIRJET Journal
 
A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal (...
A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal  (...A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal  (...
A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal (...IRJET Journal
 
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)theijes
 
Guj sw study of trend in wq of locations identified as hot spots)_0c
Guj sw study of trend in wq of locations identified as hot spots)_0cGuj sw study of trend in wq of locations identified as hot spots)_0c
Guj sw study of trend in wq of locations identified as hot spots)_0chydrologywebsite1
 
Hydrochemical studies for sustainable water resources of semi arid climatic ...
Hydrochemical studies for sustainable water resources of semi  arid climatic ...Hydrochemical studies for sustainable water resources of semi  arid climatic ...
Hydrochemical studies for sustainable water resources of semi arid climatic ...eSAT Publishing House
 
Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...
Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...
Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...IRJET Journal
 
Morphometric Analysis of Warana Basin using GIS and Remote Sensing Techniques
Morphometric Analysis of Warana Basin using GIS and Remote Sensing TechniquesMorphometric Analysis of Warana Basin using GIS and Remote Sensing Techniques
Morphometric Analysis of Warana Basin using GIS and Remote Sensing TechniquesIRJET Journal
 

Ähnlich wie Sediment Yield Studies For Selected Catchments in Visakhapatnam District, Andhra Pradesh (20)

Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...
Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...
Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...
 
IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...
IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...
IRJET - Quantitative Morphometric Analysis of Adhala Basin, Ahmednagar Mahara...
 
Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...
Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...
Morphometric Analysis of Indrayani River Basin using Remote Sensing and GIS T...
 
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
Investigation on Groundwater Quality in parts of Ramdurg Taluk of Malaprabha ...
 
An33233237
An33233237An33233237
An33233237
 
An33233237
An33233237An33233237
An33233237
 
Ijetr042178
Ijetr042178Ijetr042178
Ijetr042178
 
WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...
WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...
WATERSHED PRIORITIZATION IN RELATION TO SOIL EROSION USING GEOSPATIAL TECHNIQ...
 
Assessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation useAssessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation use
 
Assessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation useAssessment of groundwater quality for irrigation use
Assessment of groundwater quality for irrigation use
 
Assessment, analysis and study of encroachments and change in natural water f...
Assessment, analysis and study of encroachments and change in natural water f...Assessment, analysis and study of encroachments and change in natural water f...
Assessment, analysis and study of encroachments and change in natural water f...
 
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
IRJET- Geomatics Model of Soil Erosion in Chittar Sub-Watersed, Vamanapuram R...
 
IRJET- Morphometric Analysis of Venna River Basin using Geospatial Tool
IRJET- Morphometric Analysis of Venna River Basin using Geospatial ToolIRJET- Morphometric Analysis of Venna River Basin using Geospatial Tool
IRJET- Morphometric Analysis of Venna River Basin using Geospatial Tool
 
A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal (...
A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal  (...A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal  (...
A Case Study of Ground Water Quality Analysis Surrounding on Gurgaon Canal (...
 
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)
 
Guj sw study of trend in wq of locations identified as hot spots)_0c
Guj sw study of trend in wq of locations identified as hot spots)_0cGuj sw study of trend in wq of locations identified as hot spots)_0c
Guj sw study of trend in wq of locations identified as hot spots)_0c
 
Ep35806817
Ep35806817Ep35806817
Ep35806817
 
Hydrochemical studies for sustainable water resources of semi arid climatic ...
Hydrochemical studies for sustainable water resources of semi  arid climatic ...Hydrochemical studies for sustainable water resources of semi  arid climatic ...
Hydrochemical studies for sustainable water resources of semi arid climatic ...
 
Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...
Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...
Ground Water Quality Assessment using Geo Spatial Technology in Part of Lower...
 
Morphometric Analysis of Warana Basin using GIS and Remote Sensing Techniques
Morphometric Analysis of Warana Basin using GIS and Remote Sensing TechniquesMorphometric Analysis of Warana Basin using GIS and Remote Sensing Techniques
Morphometric Analysis of Warana Basin using GIS and Remote Sensing Techniques
 

Kürzlich hochgeladen

Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...Amil Baba Dawood bangali
 
home automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadhome automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadaditya806802
 
The SRE Report 2024 - Great Findings for the teams
The SRE Report 2024 - Great Findings for the teamsThe SRE Report 2024 - Great Findings for the teams
The SRE Report 2024 - Great Findings for the teamsDILIPKUMARMONDAL6
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptSAURABHKUMAR892774
 
Energy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptxEnergy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptxsiddharthjain2303
 
Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm Systemirfanmechengr
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
Virtual memory management in Operating System
Virtual memory management in Operating SystemVirtual memory management in Operating System
Virtual memory management in Operating SystemRashmi Bhat
 
Industrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIESIndustrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIESNarmatha D
 
Earthing details of Electrical Substation
Earthing details of Electrical SubstationEarthing details of Electrical Substation
Earthing details of Electrical Substationstephanwindworld
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfRajuKanojiya4
 

Kürzlich hochgeladen (20)

Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
 
home automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadhome automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasad
 
The SRE Report 2024 - Great Findings for the teams
The SRE Report 2024 - Great Findings for the teamsThe SRE Report 2024 - Great Findings for the teams
The SRE Report 2024 - Great Findings for the teams
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.ppt
 
Energy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptxEnergy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptx
 
Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm System
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Virtual memory management in Operating System
Virtual memory management in Operating SystemVirtual memory management in Operating System
Virtual memory management in Operating System
 
Industrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIESIndustrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIES
 
Earthing details of Electrical Substation
Earthing details of Electrical SubstationEarthing details of Electrical Substation
Earthing details of Electrical Substation
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdf
 

Sediment Yield Studies For Selected Catchments in Visakhapatnam District, Andhra Pradesh

  • 1. J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15 www.ijera.com 12|P a g e Sediment Yield Studies For Selected Catchments in Visakhapatnam District, Andhra Pradesh J. Rangaiah1 , Dr. P. Udaya Bhaskar2 , Dr. V. Mallikarjuna3 1 (Department of Civil Engineering, L.B.R.C.E., Mylavaram-521 230) 2 (Department of Civil Engineering, JNTUK, Kakinada-533 003) 3 (Department of Civil Engineering, V.R.S.C.E, Vijayawada-520 007) ABSTRACT Sediment yield studies determine the amount of sediment that leaves a basin for an event or over a period of time. The sediment yield provides the necessary input to determine sedimentation impacts on a reservoir. Each reservoir project requires a sediment yield analysis to determine the storage depletion resulting from the deposition of sediment during the life of the project. The main object of the present study is to identify the particular suitable theoretical method to predict the sediment rate for selected catchments by comparing with the hydrographic survey results.Literature review has enabled the identification of three methods for determining the rate of sediment yield. These methods are (a) Grade’s method (b) Khosla’s method (c) Joglekar’smethod.Rate of sediment yield obtained from Khosla’s method is close to the rate computed form the hydrographic survey data for Thandava and KonamReservoirs. For the reservoir on Raiwada Reservoir, Joglekar’s method is found to give sediment rate closer to the value arrived from hydrographic survey data. Keywords:Sediment yield, Khosla’s method, Grade’s method, Joglekar’s method. I. INTRODUCTION 1.1 General Sediment yield is among the most difficult parameters to be accurately measured in the field, but accurate measurements are essential to provide the data required for better understanding of the delivery process. The quantity of sediment delivered to a reservoir depends on the rate of gross or absolute erosion in the watershed and the ability of the stream system to transport eroded material to the reservoir. The rate of gross erosion depends on climatic conditions, nature of the soils, slopes, topography and land use, while the ability of a stream to transport the eroded material to a reservoir depends on the hydro-physical conditions of the watershed.Sediment deposition in reservoirs is a complex and troublesome process. It piles up the debris behind a dam thereby reducing the capacity of the reservoir and its service function. The problem of essential concern is understand the rate at which the reservoir is filling and identifies the steps to be taken to minimise the loss of reservoir capacity so that the life of the reservoir may be prolonged. 1.2 Need for Study of Reservoir Sedimentation In the view of the risk involved in silting, the sedimentation study should forecast sediment yield, so that the sediment yield may be calculated and carefully watched and remedial measures are undertaken well in advance.For reservoirs proposed for future construction, sedimentation is particularly important on such projects as would be built on streams carrying heavy sediment flows. In such areas rates of reservoir sedimentation must be estimated accurately in order to ascertain the useful life of reservoir. Such determinations are the basic needs in evaluating the economic feasibility of the project on silt-laden streams. 1.3 Study Area Visakhapatnam district is a part of North Coastal Andhra Pradesh in India. The district is bounded on the north partly by the Orissa State and partly by Vizianagaram district, on the south by East Godavari district, on the west by Orissa state and on the east by Bay of Bengal. The total geographical area of the district is 11,340 sq.km. The chief water sources of the district are Sarada, Varaha and Thandava rivers and Rivulets Mehadrigedda, Gambhiramgedda and Madhurawada drainage basin in the plain sabari basin a tributary to Godavari River in the agency belt. The net area sown in the district is 3,52,500 ha. Fig 1.1 Study Area RESEARCH ARTICLE OPEN ACCESS
  • 2. J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15 www.ijera.com 13|P a g e The Thandava Reservoir project was constructed across river Thandava near GantavaniKothagudem village in Kotauratlamandal of Visakhapatnam district. The construction of the project was commenced in the year 1965 and completed in the year 1974 to create a storage capacity of 140.428 M.cum at FRL. An earth dam for a length of 201.17m was constructed in the main gorge portion of the river and the surplus has been arranged through a regulator constructed in another valley about 3km away from earth dam. The global co-ordinates are, east longitude 820 -17’- 20” and north latitude 170 -17’-50” respectively. The Konam reservoir project was constructed across the river Bodderu, a tributary to SharadaRiver at Konam village, in Cheedikadamandal of Visakhapatnam district. The Konam reservoir was constructed in the year 1979 to create a storage capacity of 24.0833 M.cum at FRL. The length of the earth dam is 300 m. The global co-ordinates are, east longitude of 820 -51’- 50” and north latitude 170 -58’-30” respectively. The Raiwada Reservoir project was constructed across the river Sharada near Raiwadavillage in Devarapallimandal of Vishakapatnam district. The Raiwada reservoir was constructed in the year 1983 to create a storage capacity of 101.93 M.cum at FRL. The length of the earth dam is 5.75km. The global co-ordinates are east longitude 820 -59’-00” and north latitude 180 -00’-30” respectively. II. METHODOLOGY AND DATA 2.1 General Sediment is defined geologically as any fragmental material transported by, suspended in, or deposited by water or air. The amount of sediment, which is collected at the outlet of the watershed, is termed as sediment yield. Several empirical models have been developed to estimate the sediment yield from a catchment. Most of these models are statistically established based on observed data, which are usually easier to use and computationally efficient. Some of these models were used in the present study after taking into consideration their applicability and data availability. 2.2 Grade’s Method Grade et al (1983) proposed the following equation, which considers various hydrologic factors, like annual rainfall, annual runoff, catchment area, slope, drainage density and vegetative cover factor. Vs = 1.067 x 10-6 x A1.29 x P1.38 x Dd 0.4 x S0.13 x Fc 2.51 Eq-2.1 Where, Vs = Sediment yield in Mm3 / Year, A = Catchment Area in sq.km, P = Average Annual Precipitation in cm, Dd = Drainage Density in km-1 S = Average Slope of the Area = It is the ratio of the difference between the levels of end points of main streams to the length of the stream. Dd = It is the ratio of total length of all streams of the catchment to total area of the catchment. Fc = Vegetation cover Factor = It has been arrived by regrouping the land use / land cover classification into F1, F2, F3, F4& F5 and is estimate using the following formula. Fc = (0.2xF1+0.2xF2+0.6xF3+0.8xF4+F5) / (F1+F2+F3+F4+F5) Eq-2.2 In which, F1 = Area under reserve and protected forest = (Deciduous forest (Dense + Open) + forest plantations) F2 = Unclassified forest area, F3 = Cultivated area, = (Khariff unirrigated + Khariff irrigated + Agricultural Plantations + double crop land) F4 = Grass and pasture land and F5 = Waste land.(Land with scrub + Land without scrub + Degraded / Scrub Forest + Rocky barren land) 2.3 Khosla’s Method Khosla (1953) considered catchment area to be the only major parameter affecting the sediment. The equation for the estimation of sediment yield developed Khosla is given as Vs = 0.00323 x A0.72 Eq-2.3 Where,Vs = Annual sediment yield in M.cum A = Catchment area in sq.km 2.4 Joglekar’s Method Joglekar (1960) considered catchment area to be the only major parameter affecting the sediment. Based on data from reservoirs from India and abroad, Joglekar expressed the annual sediment yield rate as Vs = 0.00597 x A0.72 Eq-2.4 Where, Vs = Annual sediment yield in M.cum A = Catchment area in sq.km The sediment rates obtained from these three methods (Grade’s, Khosla’s, and Joglekar’s method)are compared with the hydrographic survey results of APERL, Hyderabad. 2.5 Data The data required for theoretical computations are presented here. The various parameters involved in the computation of sediment yield are listed in following table and the source of this data is also indicated in this table.
  • 3. J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15 www.ijera.com 14|P a g e Table 2.1 Parameters involved in the sediment yield computation formulas The hydrographic survey results are obtained from the records of APERL, Hyderabad is presented here. Table 2.2 Hydrographic Survey Results for Three Reservoirs III. DISCUSSION OF RESULTS 3.1 General The sediment yield computations for the selected reservoirs are presented in the following section. Theoretical computations of sediment yield rates are carried out in the present investigation using Grade’s method, Khosla’s method and Joglekar’s method. The theoretical results obtained for each of the three reservoirs are compared with the rate of sediment yield computed using the data of hydrographic survey conducted by APERL, Hyderabad for these reservoirs during different periods. 3.2 Sediment Yield for Thandava Reservoir The following table indicate the sediment yield rates obtained for the Thandava reservoir using Grade’s method, Khosla’s method and Joglekar’s method. These results are compared with the sediment yield obtained with the help of hydrographic survey data (Actual data). It is seen from this table that the sediment yield rate obtained using Khosla’s method is close to the rate observed through hydrographic survey. Table 3.1 Comparison of Actual and Estimated Sediment Yields for Thandava Reservoir 3.3 Sediment Yield for Konam Reservoir The following table contain the theoretical results of sediment yield for Konam Reservoir and compared with the results obtained from the hydrographic survey (Actual results). It is seen from this table that the sediment yield rate obtained using Khosla’s method is close to the rate observed through hydrographic survey. Table 3.2 Comparison of Actual and Estimated Sediment Yields for Konam Reservoir 3.4 Sediment Yield for Raiwada Reservoir The following table contain the theoretical results of sediment yield for Raiwada Reservoir and compared with the results obtained from the hydrographic survey (Actual results). It is seen from this table that the sediment yield rate obtained using Joglekar’s method is close to the rate observed through hydrographic survey.
  • 4. J. Rangaiah.et al.Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 4, (Part - 5) April 2016, pp.12-15 www.ijera.com 15|P a g e Table 3.3 Comparison of Actual and Estimated Sediment Yields for Raiwada Reservoir The annual sediment yield estimate from Grade’s method is lower than the result obtained through hydrographic survey data and the percentage deviation obtained from Grade’s method for Thandava, Konam and Raiwada reservoirs are -32.26%, -61.09% and -66.35% respectively. The annual sediment yield estimate from Joglekar’smethodare+137.51% and +121.88 % higher than the result obtained through hydrographic survey data for Thandava and Konam reservoirs but the annual sediment yield estimate from Joglekar’s method is closer to the result obtained through hydrographic survey data for Raiwada reservoir and the percentage deviation obtained from Joglekar’s method is +1.78 %. The annual sediment yield estimate from Khosla’s method is close to the result obtained through hydrographic survey data and the percentage deviation obtained from Khosla’s method is consistently low at +0.61% and -2.24% for Thandava and Konam reservoirs. The percentage deviation in case of Raiwada reservoir is higher at - 56.79%. Fig. 3.1 Comparison of Actual and Estimated Sediment Yields for selected reservoirs IV. CONCLUSIONS Rate of sediment yield obtained from Khosla’s method is closed to the rate computed from the hydrographic survey data for Thandava&Konam Reservoirs. For the reservoir on Raiwada, Joglekar’s method is found to give sediment rate closer to the value arrived from hydrographic survey data. V. SCOPE FOR FURTHER STUDY The following scope has been identified and the same is suggested further study. (1) The relevant parameters involved in the sediment yield equations can be arrived using the remote sensing imageries instead of S.O.I top sheets. (2) Suitable sediment controlling techniques may be identified for increasing the life of the reservoirs. (3) Only 3 methods are chosen here to compute the rate of sediment yield into the reservoir. Other methods can also be considered. REFERENCE [1]. Gottschalk L.C.,(1952) “Measurement of sedimentation in small Reservoirs”, with discussions A.S.C.E. Transactions, Vol.117. [2]. Grade.R.J. and Kothyari, D.C., Sediment Yield Estimations, J1. of Irrigation and Power, CBIP, India, Vol.44, No.3,1987. [3]. Grade.R.J.,andRangaraju, K.G., Mechanics of Sediment Transportation and Alluvial Stream Problems,2nd Ed. Wiley Eastern Ltd., New Delhi, 1977. [4]. Joglekar D.V.,(1960) “Silting of Reservoirs”, Journal of the Institution of Engineers (India), Voll.40.8, PartI. [5]. Khosla A.N., (1953) “Silting of Reservoirs”, Central Board of Irrigation and power, Publication No.51. [6]. Murthy B.N., (1980) “Life of reservoir”, publication 89, central board of irrigation and power, New Delhi. [7]. “Records of Irrigation Department” (2004) Irrigation Circle, Visakhapatnam. [8]. “Report on the hydrographic surveys of Thandava reservoir”, (1991) A.P.Engineering Research Laboratories. Hyderabad. [9]. “Report on the hydrographic surveys of Konam reservoir”, (1992) A.P. Engineering Research Laboratories. Hyderabad. [10]. “Report on the hydrographic surveys of Raiwada reservoir”, (1993) A.P. Engineering Research Laboratories. Hyderabad.