Application of USLE Model & GIS in Estimation of Soil Erosion for Tandula Reservoir
|
|
- Clyde Hunt
- 5 years ago
- Views:
Transcription
1 Application of USLE Model & GIS in Estimation of Soil Erosion for Tandula Reservoir Ishtiyaq Ahmad 1, Dr. M. K. Verma 2 1 Ph.D. Research Scholar, Dept. of Civil Engg. NIT Raipur (C.G.) - India 2 Prof. & Head, Dept. of Civil Engg. NIT Raipur (C.G.) - India Abstract Assessment of soil erosion is expensive and intensively long exercise. A number of parametric models have been developed to forecast soil erosion at drainage basins, yet Universal Soil Loss Equation, popularly known as USLE model is most widely used empirical formula for estimating annual soil loss from agricultural basins. With the advance of Remote Sensing technique it becomes possible to measure hydrologic parameters on spatial scales while Geographic Information System integrates the spatial analytical functionality for spatially distributed data. In the present paper the application of USLE model and GIS, for soil loss estimation has been presented for the Tandula reservoir catchment area on Tanudula River at Balod Tehsil of Durg district of Chhattisgarh State, India. The result obtained from USLE model has been compared with existing model, Nayak and Khosla;s method, it is observed that USLE with GIS give better result as compared to other two methods. Keywords GIS, ILWIS, Map, Soil Erosion, USLE. I. INTRODUCTION This document is template. We ask that authors follow some simple guidelines. In essence, we ask you to make your paper look exactly like this document. The easiest way to do this is simply to download the template, and replace(copy-paste) the content with your own material. The soil has been defined by the International Soil Science Society as: The soil is a limited and irreplaceable resource and the growing degradation and loss of soil means that the expanding population in many parts of the world is pressing this resource to its limits. In its absence the biospheric environments man will collapse with devastating results for humanity [2]. Recent observations in India have brought in to light the alarming fact that reservoir sedimentation, resulting from degradation of the watersheds is on manifold rise compared to the rate that was assumed at the time the projects were designed [6]. This leads to watershed deterioration which renders fertile lands barren, reduction in storage capacity of the dams and hence reduction in their operational life [1]. The main factors causing soil erosion are climate, soil, vegetation, topography and man [5]. 570 Of these, vegetation and to some extent soil and the topography may be controlled. The climatic factors and also the topographic and soil factors are beyond the power of man to control. Scientific management of soil, water and vegetation resources on watershed basis is very important to arrest erosion and rapid siltation in rivers, lakes and estuaries [9]. Because land management practices create a variety of conditions that influence the magnitude of surface erosion, land managers frequently want to predict the amount of soil loss by surface erosion. Several models are available for predicting erosion. USLE model and ILWIS3.0 GIS has been used for determining the quantity of soil erosion. The ancillary data on landuse/land cover was interpreted from IRS 1C, LISS-3 digital data of the catchment area. ILWIS 3.0 GIS package has been used as the core of the spatial database and analysis. II. STUDY AREA TANDULA RESERVOIR The Tandula complex project is one of the major river projects of Chattisgarh State. The Tandula reservoir is situated in Balod Tahsil of Durg district at about 5 km. from the Balod city. This reservoir has been developed by constructing a dam on the confluence of Sukha nala and Tandula River. The construction of the dam was started in the year 1910 and completed in 1921 [3]. The total catchment area of the reservoir is about sq. mile ( sq. km.). The length of the dam is 14,500 ft. The water-spread area of the reservoir at full supply level is 11,392 acre. The Low Supply Level (LSL) and Full Tank Level (FTL) of the reservoir are ft and ft respectively. The Highest Flood Level (HFL) and the Top Bund Level (TBL) have been designed as and ft respectively. The average monsoon rainfall adopted for the project is inch. The total capacity of the reservoir is million cubic meter, while the live and dead capacities of the reservoir are million cubic meter and million cubic meter respectively. The length of the main canal and distributaries are 110 km. and the total length of minors is 880 km. The reservoir has been designed to irrigate about 68,219 hectare of kharif crop.
2 The mean monsoon rainfall in the area is about 50.9 inch. An index map showing Tandula reservoir has been presented in Fig. 1. Fig. 1 Index map of Mahanadi Basin showing Ravishankar Sagar Reservoir R R (2) a X a (3) s X s B. Soil Erodibility Factor (K) The factor quantifies the cohesive character of a soil type and its resistance to dislodging and transport (particle size and density dependent) due to raindrop impact and overland flow sheer forces. The soil erodibility factor, Wischmeier and Smith [9] is a function of complex interaction of a substantial number of its physical and chemical properties. C. The Topographic Factor (L & S) Steeper slopes produce higher overland flow velocities. Longer slopes accumulate runoff from larger areas and also result in higher flow velocities. Thus, both result in increased erosion potential, but in a non-linear manner. Degree of slope factor (S) is the ratio of soil loss on actual gradient to that from 9% slope under identical conditions. Different works have evaluated the exponent for variation of soil loss with percent slope, such as 1.49, 1.35 [10]. The equation for estimating the slope gradient and slope length factor is: III. UNIVERSAL SOIL LOSS EQUATION MODEL Effective control of soil erosion requires an ability to predict the amount of soil loss, which would occur under alternate management strategies and practices. The model with the greatest acceptance and use is the Universal Soil Loss Equation (USLE), developed by Agriculture Research Services (ARS) scientists Wischmeier and D. Smith [2]. While newer methods are now becoming available, most are still founded upon principles introduced by the USLE. The USLE states that the field soil loss in tons per hectare, A, is the product of six causative factors [7]: A R K L S C P (1) A. Rainfall Erosivity index (R) Please check with your editor on whether to submit your manuscript by hard copy or electronically for review. If hard copy, submit photocopies. The rainfall erosivity index implies a numerical evaluation of rainfall pattern, which describes its capacity to erode soil from an unprotected field. In India, simple relationship between erosivity index (R) and annual or seasonal rainfall (X) has been developed by Singh et al, 1981 after analyzing the data collected from 45 stations distributed in different rainfall zones throughout the country [2]. The relationship can be expressed by the following equations. 571 S L (4) G G D. Cropping Management Factor (C) This factor is the ratio of soil loss from land cropped under specified conditions to corresponding loss under tilled, continuous fallow conditions. It measures the combined effect of vegetation cover and management variables. E. Conservation Practice Factor (P) The conservation practice factor P, in the Universal Soil Loss Equation is the ratio of soil support practice to the corresponding loss with up and down slope culture. Practices induced in this term are contouring, strip cropping (alternate crops on a given slope established on the contour), and terracing. The value of P ranges from 1.0 for up and down cultivation to 0.25 for contour strip cropping of gentle slope. IV. APPLICATION OF ILWIS 3.0 (THE GIS TOOL) All the factors required for soil erosion estimation as given in the equation 1 were calculated using ILWIS 3.0 GIS software and stored as thematic maps in raster format. These maps were then multiplied together to generate the soil erosion map using Map Calculation operation in 015.
3 The map was assigned the minimum value of 10 tones/ha/year and slicing operation was applied to generate classified map of various erosion class such as 0-10, 10-20, 10-20, 20-40, 40-80, , >120 etc. Total soil loss from the catchment area was estimated by collecting histogram of the erosion map. The histogram provides total number of pixels falling in each erosion intensity, for example, pixels in <10.0 tones/ha/year; pixels in tones/ha/year etc. The number of pixels was then multiplied with the corresponding mid value of erosion intensity (i.e. 2.5, 7.5, 12.5 tones/ha/year etc.) to get the total soil loss. Similarly, the geographical areas under different categories of erosion were then calculated by collecting histogram of the classified map. A flow chart describing briefly the procedure for estimation of soil erosion from a catchment area is given in Fig. 2. SPATIAL DATA NON-SPATIAL DATA Raingauge Station Contour Map Landuse/Land cover Soil Map Map Theissen Polygon Map Rainfall Map 'R' Factor Map DEM Map Slope Map 'LS' Factor Map Cultivated land Map 'P' Factor Map 'K' Factor Map 'C' Factor Map A = R x K x L x S x C x P Soil Erosion Map Soil Erodibility Factor Cropping Mang. Factor Conservation Practise Factor Rainfall Data Fig. 2. Procedure for Estimation of Soil Erosion by USLE & GIS V. DATA PROCESSING & PARAMETER ESTIMATION A. Base Map A base map has been generated by digitizing the Survey Of India (SOI) toposheet as reference map for all other purposes. The watershed boundary was marked on the basis of the contours and the drainage lines available on the SOI topographic map. The drainage lines were also marked on the base map of the basin as shown in the Fig. 3. Fig. 3. Base Map of Tandula Reservoir The digital base map was stored as thematic layer in GIS for further analysis. The basin boundary is digitized and stored as basin map in vector format. The map was then polygonised and converted into raster format assigning the pixel size of IRS 1C LISS-III satellite data, i.e., 24 m. Total geographical area of the reservoir catchment is sq. km. including sq. km. water spread area. Therefore, the land surface considered for estimation of soil erosion remains sq. km. only. B. Rainfall The seasonal rainfall data recoded at Tandula dam site (Amadabad Raingauge stations) were obtained from Water Resources Department of Tandula Circle and Land Records office located at Durg. In Tandula dam site only one raingauge station so here is not necessaries for make Thiessen polygon map. The Rainfall Factors corresponding to rainfall values were calculated using the equation
4 S.No. C. Soils International Journal of Emerging Technology and Advanced Engineering Total Five categories of soils fall in the study area, namely clay loam, fine sandy loam, loam, silty clay and silty clay loam. The organic matter (O.M.) contents in these soils are reported about 2%. The Fig. 4 shows the soil map and value of K factor and the geographic area under each soil class has been given in Table I. TABLE I Distribution of Soil Class and K Value in Tandula Catchment Soil Class No. of pixels (Sq. km.) (%) K-Factor 1 Silty Clay Clay Loam Fine Sandy Loam LoamyFine sand Sandy Loam Sandy Clay Sandy Clay Loam Loam Water body Total The soil map digitized was converted into raster format first and then the map was attributed to the table containing K factor values to generate the kfactor map. The kfactor map is a raster map showing K value for each and every pixel. D. Topography Contour lines and spot heights given in the Survey of India topographic maps is the only source of information on topography of the study area. To create a Digital Elevation Model (DEM) map, interpolation of the segment map combine was done via the operation InterpolSeg in ILWIS 3.0 GIS. Contour Interpolation: Contour interpolation first rasterizes contour lines in the segment map. This results in values for all pixels that are located on the segments. Then values have to be calculated for pixels that fall in between the segments. For each undefined pixel, the distance is calculated towards the two nearest contour lines. The distances are calculated forwards and backwards, until no more changes occur. Then a linear interpolation is performed using the two distance values. This returns the value for an undefined pixel. Slope Calculation: The DEM map thus generated is a raster map showing the elevation or height above mean sea level of each pixel in the study area. Fig. 5 shows the DEM map of Tandula catchment. Fig. 4. Soil Map of Tandula Catchment 573 Fig. 5. DEM Classified Relief Map of Tandula Catchment
5 S.No International Journal of Emerging Technology and Advanced Engineering The slope length was taken same as the pixel size, i.e. 24 m for the calculation of LS factor. LS factor map was calculated using the equation 4 by putting the value of the slope length and the degree of slope. The slope factor map was stored as LS factor in raster format shown in Fig. 6. The land use classes include Agriculture, barren/grazing lands, open forest and shrubs/bushes. The land use map thus classified from satellite data is shown in the following Fig. 7 and spatial distribution of all the five land use classes is given in the Table II. TABLE II LAND USE DISTRIBUTION IN TANDULA CATCHMENT AND C FACTOR Land Use Class No. of pixels (Sq. km.) (%) K-Factor 1 Agriculture Barren land Forest Mining activity Shrubs land Settlement Water body Total Fig. 6. LS Factor Map of Tandula Catchment F. Conservation Practice Factor P The classified slope map slope class was attributed to P factor values to create a raster map of conservation practices factor. The non-agricultural lands (forest, shrubs/bushes and barren/grazing land) were assigned value 1.0 for P factor. After assigning the P factor values for agricultural and non-agricultural lands, the output map was named as pfactor. The pfactor map thus created is given in Fig. 8. Fig. 7. Land Use/Land Cover Map of Tandula Catchment E. Land Use Indian Remote Sensing Satellite 1-C, LISS-III, Path 102- Row 58 covers the entire catchment area. The digital image processing of LISS-III data of the year was carried out to prepare the land use map of the Tandula catchment. 574 Fig. 8. P Factor Map of Tandula Catchment
6 S.No International Journal of Emerging Technology and Advanced Engineering G. Estimation of Soil Erosion The various factors responsible for soil erosion, i.e. R, K, L, S, C and P were brought in the form of raster maps as stated earlier. The estimated soil loss map USLE was further classified into defined group of erosion intensities to create the classified expected soil loss map usleclfy and the same has been presented in Table III. The maximum intensity of estimated soil loss has been estimated to be 710 tons/ha/year. The map shown in Fig. 9 gives the distribution of various categories of estimated soil loss over the catchment area. TABLE III AREA UNDER DIFFERENCE CATEGORIES SOIL EROSION CLASS IN TANDULA CATCHMENT Land Use Class No. of pixels (Sq. km.) (%) K-Factor 1 Slight 0 to Moderate 10 to High 20 to Very high 40 to Severe 80 to Very severe > Total VI. RESULTS & DISCUSSION The sedimentation value of Tandula Reservoir estimated by T.R. Nayak using Satellite Remote Sensing [8] and by Khosla s Method [4] has been used to compare the result obtained from Universal Soil Loss Equation. Soil Erosion by USLE: The quantity of actual soil erosion calculated by USLE model comes out to be tones/year. This value can be converted in terms of volume by dividing the same with the specific gravity of the sediment load, i.e tones/m3. Thus, the soil erosion from the Tandula catchment will be m3/year. Sedimentation Yield of Tandula Reservoir: A brief account of estimation of sedimentation yield for Tandula Reservoir [8] is as follows; the sedimentation in grass capacity has been reported as Mcu.ft. If we assume a constant rate of sedimentation over the period of 80 years, it comes out to be ha-m/year. Thus sedimentation yield is calculated as tons/year, assuming sediment density 1050 Kg/m3. Khosla s Method: Khosla analysed the data from various reservoirs in India and abroad and observed that the annual rate of sediment deposition decreased with the age of reservoirs. He plotted curve between the annual sediment deposited and the catchment area and suggested the following empirical formula Q s (5) 0.28 A By applying the Khosla s formula, the annual sediment deposit for Tandula catchment was found to be tons/year. Thus, the estimated soil loss from the Tandula catchment using USLE, compared with Sediment yield of Tandula Reservoir [8] and Khosla s Method is as follows: Method Used By USLE By Nayak Khosla s Method Soil Loss in tons/year Fig. 9. Estimated Erosion Class Map of Tandula Catchment 575 VII. CONCLUSIONS The soil erosion can be controlled effectively if it is predicted accurately under alternate management strategies and practices. The Universal Soil Loss Equation model has been accepted and used most widely all over the world to predict the soil erosion from a watershed.
7 In India also many researchers have applied the model and different model parameters (factors) have been estimated for Indian conditions. The estimated soil erosion from Tandula catchment estimated using USLE has been compared with two empirical formulae, namely Sediment yield of Tandula Reservoir (Satellite Remote Sensing study by T.R.Nayak) and Khosla s Method and also with the Sedimentation analysis using Remote Sensing data. APPENDIX: LIST OF SYMBOLS A : soil loss in tons per hectare R : rainfall erosivity index K : Soil erodibility factor L : length of slope factor S : degree of slope factor C : cropping-management factor P : conservation practice factor Ra : annual erosivity index Xa : average annual rainfall (mm) Rs : seasonal erosivity index Xs : average seasonal rainfall (mm) : length of the field in meters G : Slope gradient in percent Qs : annual rate of sediment deposition REFERENCES [1] V. K. Choubey, Assessment of Sediment Distribution Pattern in the Tungabhadra Reservoir Using Satellite Imagery, Journal of the Indian Society of Remote Sensing, Vol. 22, No. 2, 1994, pp [2] M. K. Choudhary and T. R. Nayak, Estimation of Soil Erosion in Sagar Lake Catchment of Central India, Watershed hydrology: proceedings of the International Conference on Water and Environment (WE-2003), December 15-18, Bhopal, India, 1994, pp. 387 [3] S. Jain, P. Agrawal and V. Singh, Mahanadi, Subernarekha and Brahmani Basins. Hydrology and Water resources of India, Water Science and Technology Library, Vol. 57, No. 3, 2007, pp [4] A. N. Khosla, Silting of Reservoirs, CBI & P, New Delhi [5] R.P.C. Morgan, Soil Erosion and Conservation, Longman Group Limited, U.K., 1986, pp [6] Narayana, V. V. Dhruva and R. Babu, Estimation of Soil Erosion in India Journal of Irrigation and Drainage Engineering, ASCE, Vol. 109, No. 4, 1983, pp [7] J. P. Nema, B. Verma and A. P. Patel, Predicting Universal Soil Loss Parameters, Indian Journal of Soil Conservation, Vol. 6, No. 2, 1978, pp [8] T. R. Nayak and R. K. Jaiswal, Rainfall-Runoff Modelling using Satellite Data and GIS for Beas River in Madhya Pradesh, Journal of Institution of Engineers India, Vol. 84 (May), 2003, pp [9] W. H. Wischmeier and D. D. Smith, Predicting Rainfall Erosion Losses- A Guide to Conservation Planning, Agriculture Handbook, No. 537, U.S. Dept. of Agriculture, Washington D.C., [10] G. W. Musgrave, The Quantitative Evaluation of Factors in Water Erosion: A First Approximation, Journal of Soil and Water Conservation, Vol. 2(3), 1947, pp
Soil Erosion Calculation using Remote Sensing and GIS in Río Grande de Arecibo Watershed, Puerto Rico
Soil Erosion Calculation using Remote Sensing and GIS in Río Grande de Arecibo Watershed, Puerto Rico Alejandra M. Rojas González Department of Civil Engineering University of Puerto Rico at Mayaguez.
More informationReview Using the Geographical Information System and Remote Sensing Techniques for Soil Erosion Assessment
Polish J. of Environ. Stud. Vol. 19, No. 5 (2010), 881-886 Review Using the Geographical Information System and Remote Sensing Techniques for Soil Erosion Assessment Nuket Benzer* Landscape Architecture
More informationCHAPTER VII FULLY DISTRIBUTED RAINFALL-RUNOFF MODEL USING GIS
80 CHAPTER VII FULLY DISTRIBUTED RAINFALL-RUNOFF MODEL USING GIS 7.1GENERAL This chapter is discussed in six parts. Introduction to Runoff estimation using fully Distributed model is discussed in first
More informationHydrologic Modelling of the Upper Malaprabha Catchment using ArcView SWAT
Hydrologic Modelling of the Upper Malaprabha Catchment using ArcView SWAT Technical briefs are short summaries of the models used in the project aimed at nontechnical readers. The aim of the PES India
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK SPECIAL ISSUE FOR NATIONAL LEVEL CONFERENCE "SUSTAINABLE TECHNOLOGIES IN CIVIL
More informationEffect of land use/land cover changes on runoff in a river basin: a case study
Water Resources Management VI 139 Effect of land use/land cover changes on runoff in a river basin: a case study J. Letha, B. Thulasidharan Nair & B. Amruth Chand College of Engineering, Trivandrum, Kerala,
More informationAssessing Vulnerability to Soil Erosion of a Watershed of Tons River Basin in Madhya Pradesh using Remote Sensing and GIS
International Journal of Environmental Research and Development. ISSN 2249-3131 Volume 4, Number 2 (2014), pp. 153-164 Research India Publications http://www.ripublication.com/ijerd.htm Assessing Vulnerability
More informationWatershed Development Prioritization by Applying WERM Model and GIS Techniques in Takoli Watershed of District Tehri (Uttarakhand)
Watershed Development Prioritization by Applying WERM Model and GIS Techniques in Takoli Watershed of District Tehri (Uttarakhand) Anju Panwar Uttarakhand Space Application Centre Dehradun, Uttarkhand
More informationAbstract: About the Author:
REMOTE SENSING AND GIS IN LAND USE PLANNING Sathees kumar P 1, Nisha Radhakrishnan 2 1 1 Ph.D Research Scholar, Department of Civil Engineering, National Institute of Technology, Tiruchirappalli- 620015,
More informationASSESSMENT OF SEDIMENTATION IN RAVISHANKAR SAGAR RESERVOIR USING DIGITAL IMAGE PROCESSING TECHNIQUES
ASSESSMENT OF SEDIMENTATION IN RAVISHANKAR SAGAR RESERVOIR USING DIGITAL IMAGE PROCESSING TECHNIQUES Rahul Kumar Jaiswal*, T. Thomas, R.V. Galkate, S. Singh 1 and T.R. Nayak 2 1. National Institute of
More informationEnvironmental Impact Assessment Land Use and Land Cover CISMHE 7.1 INTRODUCTION
7 LAND USE AND LAND COVER 7.1 INTRODUCTION The knowledge of land use and land cover is important for many planning and management activities as it is considered an essential element for modeling and understanding
More informationSEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS
SEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS Sreenivasulu Vemu, Udaya Bhaskar Pinnamaneni Department of Civil Engineering, JNT University, Kakinada, Andhra Pradesh,
More informationGIS Based Delineation of Micro-watershed and its Applications: Mahendergarh District, Haryana
Kamla-Raj 2012 J Hum Ecol, 38(2): 155-164 (2012) GIS Based Delineation of Micro-watershed and its Applications: Mahendergarh District, Haryana Gulshan Mehra and Rajeshwari * Department of Geography, Kurukshetra
More informationInternational Journal of Engineering Science Invention Research & Development; Vol. IV, Issue II, AUGUST E-ISSN:
ASSESMENT OF SOIL LOSS IN WYRA WATERSHED USING REMOTE SENSING AND GIS Ankala Mani Deepika 1, P. Sridhar 2 1 M.Tech (Geoinformatics) Student, 2 Assistant Professor in Geoinformatics, Civil Engineering department,
More informationModeling Surface Runoff Path and Soil Erosion in Catchment Area of Hanp River of District Kabeerdham, CG, INDIA, Using GIS
International Journal of Scientific and Research Publications, Volume 6, Issue 5, May 2016 645 Modeling Surface Runoff Path and Soil Erosion in Catchment Area of Hanp River of District Kabeerdham, CG,
More informationDr. S.SURIYA. Assistant professor. Department of Civil Engineering. B. S. Abdur Rahman University. Chennai
Hydrograph simulation for a rural watershed using SCS curve number and Geographic Information System Dr. S.SURIYA Assistant professor Department of Civil Engineering B. S. Abdur Rahman University Chennai
More informationApplication of SWAT Model to Estimate the Runoff and Sediment Load from the Right Bank Valleys of Mosul Dam Reservoir
Application of SWAT Model to Estimate the Runoff and Sediment Load from the Right Bank Valleys of Mosul Dam Reservoir Dr Mohammad Ezeel Deen Prof. Nadhir Al-Ansari Prof Sven Knutsson Figure 1.Map of Iraq
More informationAbstract. TECHNOFAME- A Journal of Multidisciplinary Advance Research. Vol.2 No. 2, (2013) Received: Feb.2013; Accepted Oct.
Vol.2 No. 2, 83-87 (2013) Received: Feb.2013; Accepted Oct. 2013 Landuse Pattern Analysis Using Remote Sensing: A Case Study of Morar Block, of Gwalior District, M.P. Subhash Thakur 1 Akhilesh Singh 2
More informationURBAN WATERSHED RUNOFF MODELING USING GEOSPATIAL TECHNIQUES
URBAN WATERSHED RUNOFF MODELING USING GEOSPATIAL TECHNIQUES DST Sponsored Research Project (NRDMS Division) By Prof. M. GOPAL NAIK Professor & Chairman, Board of Studies Email: mgnaikc@gmail.com Department
More informationRemote Sensing and GIS Applications for Hilly Watersheds SUBASHISA DUTTA DEPARTMENT OF CIVIL ENGINEERING IIT GUWAHATI
Remote Sensing and GIS Applications for Hilly Watersheds SUBASHISA DUTTA DEPARTMENT OF CIVIL ENGINEERING IIT GUWAHATI Deciding Alternative Land Use Options in a Watershed Using GIS Source: Anita Prakash
More informationInternational Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN
International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July-2015 1428 Accuracy Assessment of Land Cover /Land Use Mapping Using Medium Resolution Satellite Imagery Paliwal M.C &.
More informationFOREST RESEARCH INSTITUTE, DEHRADUN
PROJECT REPORT DRAINAGE AND REPLENISHMENT STUDY OF MINED AREA OF GANGA SHYAMPUR RIVER HARIDWAR Submitted to UTTARAKHAND FOREST DEVELOPMENT CORPORATION (UFDC) 73, Nehru Road, Deharadun Prepared&Submitted
More informationApplication of Geographical Information System (GIS) tools in watershed analysis
Application of Geographical Information System (GIS) tools in watershed analysis Paritosh Gupta 1, Damanjit S Minhas 2, Rajendra M Tamhane 1, A K Mookerjee 2 1.ESRI India New Delhi 2. LEA Associates South
More information7.1 INTRODUCTION 7.2 OBJECTIVE
7 LAND USE AND LAND COVER 7.1 INTRODUCTION The knowledge of land use and land cover is important for many planning and management activities as it is considered as an essential element for modeling and
More informationAssessment of solid load and siltation potential of dams reservoirs in the High Atlas of Marrakech (Moorcco) using SWAT Model
Assessment of solid load and siltation potential of dams reservoirs in the High Atlas of Marrakech (Moorcco) using SWAT Model Amal Markhi: Phd Student Supervisor: Pr :N.Laftrouhi Contextualization Facing
More informationINTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 4, No 2, 2013
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 4, No 2, 2013 Copyright 2010 All rights reserved Integrated Publishing services Research article ISSN 0976 4380 Evaluation of landuse / landcover
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK ASSESSMENT OF RESERVOIR SEDIMENTATION IN PANSHET RESERVOIR BY HYBRID METHOD N.
More informationWhat Is Water Erosion? Aren t they the same thing? What Is Sediment? What Is Sedimentation? How can Sediment Yields be Minimized?
Jerald S. Fifield, Ph.D. CISEC HydroDynamics Incorporated Parker, CO 303-841-0377 Aren t they the same thing? What Is Sediment? Soil particles deposited or suspended in water or air The process of depositing
More informationWATERSHED DEVELOPMENT PRIORITIZATION BY APPLYING WERM MODEL AND GIS TECHNIQUES IN VEDGANGA BASIN (INDIA)
WATERSHED DEVELOPMENT PRIORITIZATION BY APPLYING WERM MODEL AND GIS TECHNIQUES IN VEDGANGA BASIN (INDIA) Sachin Panhalkar and C. T. Pawar Department of Geography, Shivaji University, Kolhapur, MS, India
More informationA distributed runoff model for flood prediction in ungauged basins
Predictions in Ungauged Basins: PUB Kick-off (Proceedings of the PUB Kick-off meeting held in Brasilia, 2 22 November 22). IAHS Publ. 39, 27. 267 A distributed runoff model for flood prediction in ungauged
More informationGIS model & modeling
GIS model & modeling Model : a simplified representation of a phenomenon or a system. GIS modeling : the use of GIS in the process of building models with spatial data. Basic requirement in modeling :
More informationCopyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and
Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere
More informationSediment- yield estimation, by M-PSIAC method in a GIS environment, case study:jonaghn river sub basin(karun basin)
Sediment- yield estimation, by M-PSIAC method in a GIS environment, case study:jonaghn river sub basin(karun basin) Yavari-shahla *,Khdabakhsh-Saeed,Mohseni-Hasan, Rezai- Khalil Corresponding author: a
More informationWatershed Processes and Modeling
Watershed Processes and Modeling Pierre Y. Julien Hyeonsik Kim Department of Civil Engineering Colorado State University Fort Collins, Colorado Kuala Lumpur - May Objectives Brief overview of Watershed
More informationSurface Processes Focus on Mass Wasting (Chapter 10)
Surface Processes Focus on Mass Wasting (Chapter 10) 1. What is the distinction between weathering, mass wasting, and erosion? 2. What is the controlling force in mass wasting? What force provides resistance?
More informationVILLAGE INFORMATION SYSTEM (V.I.S) FOR WATERSHED MANAGEMENT IN THE NORTH AHMADNAGAR DISTRICT, MAHARASHTRA
VILLAGE INFORMATION SYSTEM (V.I.S) FOR WATERSHED MANAGEMENT IN THE NORTH AHMADNAGAR DISTRICT, MAHARASHTRA Abstract: The drought prone zone in the Western Maharashtra is not in position to achieve the agricultural
More informationSediment yield estimation from a hydrographic survey: A case study for the Kremasta reservoir, Western Greece
Sediment yield estimation from a hydrographic survey: A case study for the Kremasta reservoir, Western Greece 5 th International Conference Water Resources Management in the Era of Transition,, Athens,
More informationSubject Name: SOIL AND WATER CONSERVATION ENGINEERING 3(2+1) COURSE OUTLINE
Subject Name: SOIL AND WATER CONSERVATION ENGINEERING 3(2+1) COURSE OUTLINE (Name of Course Developer: Prof. Ashok Mishra, AgFE Department, IIT Kharagpur, Kharagpur 721 302) Module 1: Introduction and
More informationChange Detection in Landuse and landcover using Remote Sensing and GIS Techniques
Change Detection in Landuse and landcover using Remote Sensing and GIS Techniques VEMU SREENIVASULU* and PINNAMANENI UDAYA BHASKAR Department of Civil Engineering Jawaharlal Nehru Technological University:
More informationESTIMATION OF MORPHOMETRIC PARAMETERS AND RUNOFF USING RS & GIS TECHNIQUES
ESTIMATION OF MORPHOMETRIC PARAMETERS AND RUNOFF USING RS & GIS TECHNIQUES Shrudha. V. K¹, Hafeezunnisa² 1 Assistant Professor, Rajarajeshwari College of Engineering Bangalore 2 Assistant Engineer, WRDO
More informationMORPHOMETRIC ANALYSIS OF WATERSHEDS IN THE KUNIGAL AREA OF TUMKUR DISTRICT, SOUTH INDIA USING REMOTE SENSING AND GIS TECHNOLOGY
MORPHOMETRIC ANALYSIS OF WATERSHEDS IN THE KUNIGAL AREA OF TUMKUR DISTRICT, SOUTH INDIA USING REMOTE SENSING AND GIS TECHNOLOGY PROJECT REFERENCE NO. : 37S1170 COLLEGE : SIDDAGANGA INSTITUTE OF TECHNOLOGY,
More informationEVALUATION OF MIGRATION OF HEAVY METAL CONTAINING SEDIMENT RESULTING FROM WATER EROSION USING A GEO- INFORMATION MODEL
EVALUATION OF MIGRATION OF HEAVY METAL CONTAINING SEDIMENT RESULTING FROM WATER EROSION USING A GEO- INFORMATION MODEL János Tamás, Elza Kovács University of Debrecen, Centre of Agricultural Sciences Department
More informationGOVERNMENT OF MADHYA PRADESH WATER RESOURCES DEPARTMENT HANOTA MAJOR PROJECT PRE FEASIBILITY REPORT. ESTIMATED COST : Rs
GOVERNMENT OF MADHYA PRADESH WATER RESOURCES DEPARTMENT HANOTA MAJOR PROJECT PRE FEASIBILITY REPORT ESTIMATED COST : Rs. 1392.42 Crores DESIGNED IRRIGATION : 40000 Ha. COST PER HACT. : Rs. 3.48 Lakhs ''EVERY
More informationGROUNDWATER CONFIGURATION IN THE UPPER CATCHMENT OF MEGHADRIGEDDA RESERVOIR, VISAKHAPATNAM DISTRICT, ANDHRA PRADESH
GROUNDWATER CONFIGURATION IN THE UPPER CATCHMENT OF MEGHADRIGEDDA RESERVOIR, VISAKHAPATNAM DISTRICT, ANDHRA PRADESH Prof.P.Jagadeesara Rao Department of Geo-Engineering and Centre for Remote Sensing, College
More informationGIS Based Approach for Calculation of Canal Conveyance Losses
GIS Based Approach for Calculation of Canal Conveyance Losses Ch Ramesh Naidu 1, Mvss Giridhar 2 1 Research Scholar, Civil Engineering Department, JNTUH, Hyderabad, India 2 Assistant Professor, Centre
More informationINTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 6, No 2, 2015
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 6, No 2, 2015 Copyright by the authors - Licensee IPA- Under Creative Commons license 3.0 Research article ISSN 0976 4380 An Analysis of Land use
More informationMODULE 8 LECTURE NOTES 2 REMOTE SENSING APPLICATIONS IN RAINFALL-RUNOFF MODELLING
MODULE 8 LECTURE NOTES 2 REMOTE SENSING APPLICATIONS IN RAINFALL-RUNOFF MODELLING 1. Introduction The most common application of the remote sensing techniques in the rainfall-runoff studies is the estimation
More informationThe relationship between drainage density and soil erosion rate: a study of five watersheds in Ardebil Province, Iran
River Basin Management VIII 129 The relationship between drainage density and soil erosion rate: a study of five watersheds in Ardebil Province, Iran A. Moeini 1, N. K. Zarandi 1, E. Pazira 1 & Y. Badiollahi
More informationSUB CATCHMENT AREA DELINEATION BY POUR POINT IN BATU PAHAT DISTRICT
SUB CATCHMENT AREA DELINEATION BY POUR POINT IN BATU PAHAT DISTRICT Saifullizan Mohd Bukari, Tan Lai Wai &Mustaffa Anjang Ahmad Faculty of Civil Engineering & Environmental University Tun Hussein Onn Malaysia
More informationCAUSES FOR CHANGE IN STREAM-CHANNEL MORPHOLOGY
CAUSES FOR CHANGE IN STREAM-CHANNEL MORPHOLOGY Chad A. Whaley, Department of Earth Sciences, University of South Alabama, MobileAL, 36688. E-MAIL: caw408@jaguar1.usouthal.edu The ultimate goal of this
More informationWastelands Analysis and Mapping of Bhiwani District, Haryana
Wastelands Analysis and Mapping of Bhiwani District, Haryana Virender Sihag Research Scholar, Department of Geography, OPJS University, Churu, Rajasthan ABSTRACT This study aimed at monitoring, mapping,
More informationOutline. Remote Sensing, GIS and DEM Applications for Flood Monitoring. Introduction. Satellites and their Sensors used for Flood Mapping
Outline Remote Sensing, GIS and DEM Applications for Flood Monitoring Prof. D. Nagesh Kumar Chairman, Centre for Earth Sciences Professor, Dept. of Civil Engg. Indian Institute of Science Bangalore 560
More informationINTRODUCTION TO ARCGIS 10
Department of Irrigation, Drainage and Landscape Engineering, Faculty of Civil Engineering, CTU Prague Institute of Hydraulics and Rural Water Management BOKU Vienna INTRODUCTION TO ARCGIS 10 MAIN WINDOW
More informationIdentification of Groundwater Recharge Potential Zones for a Watershed Using Remote Sensing and GIS
Identification of Groundwater Recharge Potential Zones for a Watershed Using Remote Sensing and GIS V.Keshavan 1, S.Ranjith 2, J.Sabarish 3, J.Srinivasan 4 and D.Sivasankar 5 Assistant Professor, Department
More informationBlock Level Micro Watershed Prioritization Based on Morphometric and Runoff Parameters
Cloud Publications International Journal of Advanced Remote Sensing and GIS 2016, Volume 5, Issue 11, pp. 1981-1987 ISSN 2320-0243, Crossref: 10.23953/cloud.ijarsg.76 Research Article Open Access Block
More information(case study Karaj watershed)
River sediment monitoring using remote sensing and GIS (case study Karaj watershed) M. Shafaie a,h.ghodosi b, K. H. Mostofi c * a professor, Department of Civil Engineering, Faculty of Engineering, University
More informationEstimation of sediment yield using Remote Sensing (RS) and Geographic Information System (GIS) technique
Serials Publications Estimation of sediment yield using Remote Sensing (RS)... National Academy of Agricultural Science (NAAS) Rating : 3. 03 Estimation of sediment yield using Remote Sensing (RS) and
More informationMODELING RUNOFF RESPONSE TO CHANGING LAND COVER IN PENGANGA SUBWATERSHED, MAHARASHTRA
MODELING RUNOFF RESPONSE TO CHANGING LAND COVER IN PENGANGA SUBWATERSHED, MAHARASHTRA Abira Dutta Roy*, S.Sreekesh** *Research Scholar, **Associate Professor Centre for the Study of Regional Development,
More informationSPECIFIC DEGRADATION AND RESERVOIR SEDIMENTATION. By Renee Vandermause & Chun-Yao Yang
SPECIFIC DEGRADATION AND RESERVOIR SEDIMENTATION By Renee Vandermause & Chun-Yao Yang Outline Sediment Degradation - Erosion vs Sediment Yield - Sediment Yield - Methods for estimation - Defining Sediment
More informationMATHEMATICAL MODELING OF FLUVIAL SEDIMENT DELIVERY, NEKA RIVER, IRAN. S.E. Kermani H. Golmaee M.Z. Ahmadi
JOURNAL OF ENVIRONMENTAL HYDROLOGY The Electronic Journal of the International Association for Environmental Hydrology On the World Wide Web at http://www.hydroweb.com VOLUME 16 2008 MATHEMATICAL MODELING
More informationReport for Area Drainage Studies for 1320 MW (2x660 MW) THERMAL POWER PROJECT AT MIRZAPUR, U.P.
Report for Area Drainage Studies for 1320 MW (2x660 MW) THERMAL POWER PROJECT AT MIRZAPUR, U.P. 1. Introduction M/s Welspun Energy Uttar Pradesh Ltd. (WEUPL) is putting up 1320 MW (2 x 660 MW) coal fired
More informationLAND CAPABILITY CLASSIFICATION FOR INTEGRATED WATERSHED DEVELOPMENT BY APPLYING REMOTE SENSING AND GIS TECHNIQUES
LAND CAPABILITY CLASSIFICATION FOR INTEGRATED WATERSHED DEVELOPMENT BY APPLYING REMOTE SENSING AND GIS TECHNIQUES Sachin Panhalkar Department of Geography, Shivaji University, Kolhapur, Maharashtra, India
More informationRoger Andy Gaines, Research Civil Engineer, PhD, P.E.
Roger Andy Gaines, Research Civil Engineer, PhD, P.E. Research Civil Engineer/Regional Technical Specialist Memphis District August 24, 2010 Objectives Where we have been (recap of situation and what s
More informationRiver Inundation and Hazard Mapping a Case Study of North Zone Surat City
River Inundation and Hazard Mapping a Case Study of North Zone Surat City Patel Chandresh G, Assistant Professor, Ganpat University, Kherva Dr.P.J. Gundaliya, Associate Professor, LDCE, Ahmedabad Abstract:
More information13 Watershed Delineation & Modeling
Module 4 (L12 - L18): Watershed Modeling Standard modeling approaches and classifications, system concept for watershed modeling, overall description of different hydrologic processes, modeling of rainfall,
More informationInternational Journal of Intellectual Advancements and Research in Engineering Computations
ISSN:2348-2079 Volume-5 Issue-2 International Journal of Intellectual Advancements and Research in Engineering Computations Agricultural land investigation and change detection in Coimbatore district by
More informationDetermination of Urban Runoff Using ILLUDAS and GIS
Texas A&M University Department of Civil Engineering Instructor: Dr. Francisco Olivera CVEN689 Applications of GIS to Civil Engineering Determination of Urban Runoff Using ILLUDAS and GIS Tae Jin Kim 03.
More informationScience EOG Review: Landforms
Mathematician Science EOG Review: Landforms Vocabulary Definition Term canyon deep, large, V- shaped valley formed by a river over millions of years of erosion; sometimes called gorges (example: Linville
More informationINTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 1, 2010
An Integrated Approach with GIS and Remote Sensing Technique for Landslide Hazard Zonation S.Evany Nithya 1 P. Rajesh Prasanna 2 1. Lecturer, 2. Assistant Professor Department of Civil Engineering, Anna
More informationFloodplain modeling. Ovidius University of Constanta (P4) Romania & Technological Educational Institute of Serres, Greece
Floodplain modeling Ovidius University of Constanta (P4) Romania & Technological Educational Institute of Serres, Greece Scientific Staff: Dr Carmen Maftei, Professor, Civil Engineering Dept. Dr Konstantinos
More informationHow Do Human Impacts and Geomorphological Responses Vary with Spatial Scale in the Streams and Rivers of the Illinois Basin?
How Do Human Impacts and Geomorphological Responses Vary with Spatial Scale in the Streams and Rivers of the Illinois Basin? Bruce Rhoads Department of Geography University of Illinois at Urbana-Champaign
More informationConservation Planning evaluate land management alternatives to reduce soil erosion to acceptable levels. Resource Inventories estimate current and
Conservation Planning evaluate land management alternatives to reduce soil erosion to acceptable levels. Resource Inventories estimate current and projected erosion levels and their impact on natural resource
More informationSTUDY GUIDE FOR CONTENT MASTERY. Surface Water Movement
Surface Water SECTION 9.1 Surface Water Movement In your textbook, read about surface water and the way in which it moves sediment. Complete each statement. 1. An excessive amount of water flowing downslope
More informationReport. Developing a course component on disaster management
Report Developing a course component on disaster management By Chira Prangkio Tawee Chaipimonplin Department of Geography, Faculty of Social Sciences, Chiang Mai University Thailand Presented at Indian
More informationThe effect of soil physical parameters on soil erosion. Introduction. The K-factor
Geographical Bulletin 2004. Tom. LIII. No. 1 2. pp.77 84. The effect of soil physical parameters on soil erosion ÁDÁM KERTÉSZ TAMÁS HUSZÁR GERGELY JAKAB 1 Introduction The factor K of the Universal Soil
More informationApplication of Watershed Erosion Response Model in Planning Resource Conservation of Dehrang Catchment, District Raigad
All Rights Reserved Euresian Publication 2016eISSN 2249 0256 Available Online at: www.environmentaljournal.org 2016 Volume 6, Issue 1: 27-35 Open Access Research Article Application of Watershed Erosion
More informationUNITED NATIONS E/CONF.96/CRP. 5
UNITED NATIONS E/CONF.96/CRP. 5 ECONOMIC AND SOCIAL COUNCIL Eighth United Nations Regional Cartographic Conference for the Americas New York, 27 June -1 July 2005 Item 5 of the provisional agenda* COUNTRY
More informationClassification of Erosion Susceptibility
GEO327G: GIS & GPS Applications in Earth Sciences Classification of Erosion Susceptibility Denali National Park, Alaska Zehao Xue 12 3 2015 2 TABLE OF CONTENTS 1 Abstract... 3 2 Introduction... 3 2.1 Universal
More informationComparison of Geomatics Approach and Mathematical Model in Assessment of Soil Erosion Prone Areas Kolli Hills, Namakkal District Tamilnadu, India
Cloud Publications International Journal of Advanced Earth Science and Engineering 2013, Volume 2, Issue 1, pp. 43-56, Article ID Sci-20 Research Article Open Access Comparison of Geomatics Approach and
More informationSoil and Water Conservation Engineering Prof. Rajendra Singh Department of Agricultural and Food Engineering Indian Institute of Technology, Kharagpur
Soil and Water Conservation Engineering Prof. Rajendra Singh Department of Agricultural and Food Engineering Indian Institute of Technology, Kharagpur Lecture 04 Soil Erosion - Mechanics Hello friends
More informationIJABR, VOL.7 (3) 2017: ISSN
SITE SUITABILITY ANALYSIS OF WATER STORAGE STRUCTURES USING REMOTE SENSING & GIS FOR A SMALL WATERSHED OF LORMI BLOCK IN MUNGELI DISTRICT, CHHATTISGARH STATE Love Kumar*, Khalkho, D., Pandey, V. K., Nigam,
More informationCustom Soil Resource Report for Forrest County, Mississippi
United States Department of Agriculture Natural Resources Conservation Service A product of the National Cooperative Soil Survey, a joint effort of the United States Department of Agriculture and other
More informationThe Importance of Snowmelt Runoff Modeling for Sustainable Development and Disaster Prevention
The Importance of Snowmelt Runoff Modeling for Sustainable Development and Disaster Prevention Muzafar Malikov Space Research Centre Academy of Sciences Republic of Uzbekistan Water H 2 O Gas - Water Vapor
More informationASSESSMENT OF RESERVOIR SEDIMENTATION USING REMOTE SENSING SATELLITE IMAGERIES
ASSESSMENT OF RESERVOIR SEDIMENTATION USING REMOTE SENSING SATELLITE IMAGERIES Kamuju Narasayya S. Narasaiah U C Roman Assistant Research Officer Research Officer Senior Research Officer Central Water
More informationModeling Vegetative Buffer Performance Considering Topographic Data Accuracy
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln USDA Forest Service / UNL Faculty Publications U.S. Department of Agriculture: Forest Service -- National Agroforestry Center
More informationEstimation of the Soil Erosion in Cauvery Watershed (Tamil Nadu and Karnataka) using USLE
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) e-issn: 2319-2402,p- ISSN: 2319-2399.Volume 10, Issue 12 Ver. III (Dec. 2016), PP 01-11 www.iosrjournals.org Estimation
More informationExisting NWS Flash Flood Guidance
Introduction The Flash Flood Potential Index (FFPI) incorporates physiographic characteristics of an individual drainage basin to determine its hydrologic response. In flash flood situations, the hydrologic
More informationErosion Modeling: Use of Multiple-Return and Bare-Earth LIDAR Data to. Identify Bare Areas Susceptible to Erosion
Erosion Modeling: Use of Multiple-Return and Bare-Earth LIDAR Data to Identify Bare Areas Susceptible to Erosion MacRidge, Training Area J, Fort Bragg, NC Brent D. Fogleman April 28, 2009 Abstract Accelerated
More informationINTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 3, 2012
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 3, 2012 Copyright 2010 All rights reserved Integrated Publishing services Research article ISSN 0976 4380 Computation of watershed parameters
More informationABSTRACT The first chapter Chapter two Chapter three Chapter four
ABSTRACT The researches regarding this doctoral dissertation have been focused on the use of modern techniques and technologies of topography for the inventory and record keeping of land reclamation. The
More informationImpact of Dam and Weirs on Cross-Sectional Characteristics of Urmodi Channel, Maharashtra: An Approach to Geoinformatics
Impact of Dam and Weirs on Cross-Sectional Characteristics of Urmodi Channel, Maharashtra: An Approach to Geoinformatics Sarika B. Suryawanshi, Jagdish B. Sapkale, Vidya A. Chougule Abstract Dams and reservoirs
More informationCivil Engineering Journal
Available online at www.civilejournal.org Civil Engineering Journal Vol. 1, No. 2, December, 2015 Comparative Study of Landsat and Aster Data by Morphometric Analysis Sujit Kumar a*, Tapasi Bhandary b
More informationSoil Map Boulder County Area, Colorado (Planet Blue Grass) Web Soil Survey National Cooperative Soil Survey
475910 476000 476090 476180 476270 476360 105 16' 21'' W 476450 476540 476630 476720 476810 4453350 4453440 4453260 4453350 4453170 4453260 4453080 4453170 4453080 475820 475910 4452990 476000 476090 476180
More informationVulnerability assessment of Sta.Rosa-Silang subwatershed using SWAT
Vulnerability assessment of Sta.Rosa-Silang subwatershed using SWAT Damasa B. Magcale-Macandog, Charles Gunay and Milben A. Bragais Institute of Biological Sciences, University of the Philippines Los Baños,
More informationSurface Water and Stream Development
Surface Water and Stream Development Surface Water The moment a raindrop falls to earth it begins its return to the sea. Once water reaches Earth s surface it may evaporate back into the atmosphere, soak
More informationApplication of SWAT for the modelling of sediment yield at Pong reservoir, India
Application of SWAT for the modelling of sediment yield at Pong reservoir, India A. R. Senthil kumar Tanmoyee Bhattacharya Suhas D Khobragade Manohar Arora National Institute of Hydrology Roorkee-247667,
More informationMonitoring and Temporal Study of Mining Area of Jodhpur City Using Remote Sensing and GIS
Monitoring and Temporal Study of Mining Area of Jodhpur City Using Remote Sensing and GIS S. K Yadav 1, S. L Borana 2 1,2 Scientist, Remote Sensing Group, DL, Jodhpur-342011, Rajasthan, India ---------------------------------------------------------------------***---------------------------------------------------------------------
More informationDevelopment and Land Use Change in the Central Potomac River Watershed. Rebecca Posa. GIS for Water Resources, Fall 2014 University of Texas
Development and Land Use Change in the Central Potomac River Watershed Rebecca Posa GIS for Water Resources, Fall 2014 University of Texas December 5, 2014 Table of Contents I. Introduction and Motivation..4
More informationLanduse and Landcover change analysis in Selaiyur village, Tambaram taluk, Chennai
Landuse and Landcover change analysis in Selaiyur village, Tambaram taluk, Chennai K. Ilayaraja Department of Civil Engineering BIST, Bharath University Selaiyur, Chennai 73 ABSTRACT The synoptic picture
More informationDETERMINATION OF DETENTION POND SEDIMENT LOADS USING MONTE CARLO SIMULATION, MALAYSIA
JOURNAL OF ENVIRONMENTAL HYDROLOGY The Electronic Journal of the International Association for Environmental Hydrology On the World Wide Web at http://www.hydroweb.com VOLUME 19 2011 DETERMINATION OF DETENTION
More information