EVALUATION OF ArcSWAT MODEL FOR STREAMFLOW SIMULATION
|
|
- Debra Francis
- 6 years ago
- Views:
Transcription
1 EVALUATION OF ArcSWAT MODEL FOR STREAMFLOW SIMULATION 212 International SWAT Conference By Arbind K. Verma 1 and Madan K.Jha 2 1. Assistant Professor, SASRD, Nagaland University, Ngaland (India) 2. Professor, AGFE Department, IIT Kharagpur (India)
2 Introduction 2
3 Introduction (Contd.) Present and future per capita water availability in India Water Availability m 3 /person/year Country s Status >2 Adequate Population 128 million 164 million 1-2 Waterstressed <5 Water Scarce Source: Bouwer (2) Per capita water availability 182 m 3 /year 114 m 3 /year Source: Gupta and Deshpande (24) 3
4 Introduction (Contd.) 4
5 Introduction (Contd.) Watershed Hydrologic Models SWAT GWLF WAM HSPF WEPP ANSWER MIKE SHE AGNPS HEC-HMS 5
6 Objectives Calibration and validation of ArcSWAT watershed model for the simulation of streamflow. Performance evaluation of the model for simulation of streamflow. 6
7 22 11'51.65"N 7
8 METHODOLOGY Pre Processing of Hydro-meteorological Data, Preparation of model specific weather input files (Daily Rainfall and streamflow data of 8 years ) Preparation of Spatial Data for the Study Area: DEM, Land use/land cover map and Soil map 8
9 Land use/land cover map Soil map 9
10 Contour Map 1
11 DEM Sub watersheds and Stream reaches No. of Sub watersheds =15 No. of HRUs =271 11
12 METHODOLOGY (contd.) Calibration and validation of ArcSWAT model for the simulation of stream flow ArcSWAT model set up Sensitivity analysis for 18 streamflow parameters (LH-OAT Sampling techniques), Calibration (SCEA-UA method) and Validation Performance evaluation of model for simulation of streamflow at daily and monthly time steps using statistical and graphical indicators 12
13 Model Performance Statistics Moriasi et al. (27) Statistical Indicators RSR Mathematical Expression RMSE PBIAS NSE STDEV obs n i = 1 NSE = 1 ( Q Q ) ( 1) o n i = 1 s i ( ) n i= 1 n i= 1 Q o i ( Q Q ) Q o s i o Q o i 13
14 Performance Ratings of a Model for Monthly Time Step Performance Rating Very good Good Satisfactory Unsatisfactory RSR. < RSR <.5.5 < RSR <.6.6 < RSR <.7 NSE.75 < NSE < < NSE <.75.5 < NSE <.65 Streamflow PBIAS (%) Sediment PBIAS < ±1 PBIAS < ±15 ±1 < PBIAS < ±15 ±15 < PBIAS < ±25 ±15 < PBIAS < ±3 ±3 < PBIAS < ±55 RSR >.7 NSE <.5 PBIAS > ±25 PBIAS > ±55 Moriasi et al. (27) 14
15 RESULTS Streamflow Simulation 15
16 Sensitivity Analysis Results for ArcSWAT Streamflow Parameters Sl.No. Parameters Unit Mean Sensitivity Index Assigned Rank 1 Baseflow alpha factor (Alpha_Bf) days Manning coefficient for channel (CH_N) Surface runoff lag coefficient (Surlag) SCS curve number for moisture condition II (Cn2) Effective hydraulic conductivity in main channel (Ch_K2) Threshold depth of water in the shallow aquifer required for return flow to occur (Gwqmn) mm/hr mm Soil evaporation compensation factor (Esco) Groundwater delay (Gw_Delay) (days)
17 Sensitivity Analysis Results (contd.) Sl.No. Parameters Unit Mean Sensitivity Index Assigned Rank 9 Soil conductivity (Sol_K) mm/h Available water capacity of the soil layer (Sol_Awc) mm/m m Soil depth (Sol_Z) Groundwater revap coefficient (Gw_Revap) Plant evaporation compensation factor (Epco) Threshold depth of water in the shallow aquifer for revap to occur (Revapmin) (mm) Maximum canopy index (Canmx) Soil albedo (Sol_Alb) Leaf area index for crop (Blai)
18 Initial and Calibrated Parameter Values for Streamflow Simulation Parameter Lower boundary Upper boundary Initial Value Calibrated Parameter value Alpha_Bf Canmx Ch_K Ch_N Cn2* Soil /LULC data Epco Esco Gw_Delay Gw_Revap Gwqmn Rchrg_Dp Revapmin Sol_Awc* Soil data Sol_K* Soil data Sol_Z* Soil data Surlag
19 ArcSWAT Model Performance Statistics for Simulation of Daily Streamflow Statistical Indicators Calibration Period ( ) Daily Streamflow Validation Period (24-25) Observed Simulated Observed Simulated Mean(m 3 /s) STDEV(m 3 /s) ME (m 3 /s) MAE (m 3 /s) RMSE (m 3 /s) PBIAS RSR NSE R
20 ArcSWAT Model Performance Statistics for Simulation of Monthly Streamflow Statistical Indicators Calibration Period ( ) Monthly Streamflow Validation Period (24-25) Observed Simulated Observed Simulated Mean(mm) STDEV(mm) ME (mm) MAE (mm) RMSE (mm) PBIAS RSR NSE R
21 Observed and SWAT Simulated Daily and Cumulative Streamflow Hydrographs Streamflow (m 3 /s) Observed (daily) Simulated (daily) Observed (cumulative) Simulated (cumulative) (a) Calibration Cumulative Streamflow (MCM) Total Streamflow (MCM) Obs.= Sim.= Streamflow (m 3 /s) /1/1999 1/1/2 1/1/21 Observed (daily) Simulated (daily) Observed (cumulative) Simulated (cumulative) Date (b) Validation 1/1/22 1/1/ Cumulative Streamflow (MCM) Total Streamflow (MCM) Obs.= Sim.= /1/24 4/1/24 7/1/24 1/1/24 1/1/25 Date 4/1/25 7/1/25 1/1/25 21
22 Comparison of Observed and SWAT Simulated Daily Streamflows Hydrographs for Calibration Years Streamflow (m 3 /s) Streamflow (m 3 /s) Streamflow (m 3 /s) (a) 1999 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 D t (b) 2 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 D t (c) 21 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 Date Rainfall (mm) Rainfall (mm) 1 Rainfall (mm) Streamflow (m 3 /s) Streamflow (m 3 /s) (d) 22 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 D t (e) 23 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 Date Rainfall (mm) Rainfall (mm)
23 Comparison of Observed and SWAT Simulated Daily Streamflows Hydrographs for Validation Years Streamflow (m 3 /s) Streamflow (m 3 /s) (a) 24 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 1 Date (b) 25 Mean Rainfall Observed Simulated 1/1 3/1 5/1 7/1 9/1 11/1 Date Rainfall (mm) 1 Rainfall (mm) 23
24 Observed and SWAT Simulated Monthly Streamflow Hydrographs 3 Mean Rainfall Observed Simulated Monthly Streamflow (mm) ` (a) Calibration Jan-99 Monthly Rainfall (mm) Jul-99 Jan- Jul- Jan-1 Jul-1 Jan-2 Jul-2 Jan-3 Jul-3 Month 25 Monthly Streamflow (mm) (b)validation Mean Rainfall Observed Simulated Monthly Rainfall (mm) Jan-4 Apr-4 Jul-4 Oct-4 Month Jan-5 Apr-5 Jul-5 Oct-5 24
25 Scatter Plots of Observed and Simulated Streamflow Simulated Daily Streamflow (m 3 /s) Simulated Daily Streamflow (m 3 /s) (a)calibration R 2 = R 2 =.85 Daily (b) Validation Data Points 1:1 Line Linear Data Points 1:1 Line Linear Observed Daily Streamflow (m 3 /s) Simulated Monthly Streamflow (mm) Simulated Monthly Streamflow (mm) Monthly (a)calibration R 2 = (b)validation R 2 =.94 Data Points 1:1 Line Linear Data Points 1:1 Line Linear Observed Monthly Streamflow (mm) 25
26 Bar Plots of Observed and Simulated Annual Streamflow Total Streamflow (MCM) Observed Simulated Year 26
27 Conclusion Based on the analysis of the results obtained in this study, the following conclusions could be drawn Alpha_Bf was found to be the most sensitive parameters followed by Ch_N, Surlag, Cn2, Ch_K2, Gwqmn, Esco, Gw_delay, Sol_k, Slope, Sol_Awc, Sol_Z, Gw_revap, Epco, Revapmin, Canmax, Slsubbsn, and Biomix. Values of PBIAS, NSE, and R 2 during model calibration and validation at daily and monthly time steps were found to vary from to 1.76,.84 to.95, and.86 to.96 respectively. 27
28 Conclusion (contd.) Lower values of PBIAS and RSR coupled with higher values of NSE and R 2 indicated that the SWAT model simulated streamflow within accepatable level of accuracy. Diffrerent graphical techniques used to evaluate model performance showed that there is a reasonably good agreement between observed and simulated daily and monthly streamflows as well as observed and simualted annual streamflow volumes for both calibration and validation period of model simulation. Overall, it can be concluded that the ArcSWAT model simulated streamflow satisfactorily. Therefore, ArcSWAT model can be used for future studies on wtershed modeling in the Upper Baitarni river basin. 28
29 THANK YOU 29
Evaluation of Swat for Modelling the Water Balance and Water Yield in Yerrakalva River Basin, A.P. National Institute of Hydrology, Roorkee
Evaluation of Swat for Modelling the Water Balance and Water Yield in Yerrakalva River Basin, A.P. By Dr. J.V. Tyagi Dr. Y.R.S. Rao National Institute of Hydrology, Roorkee INTRODUCTION Knowledge of water
More informationThe effects of the short-term Brazilian sugarcane expansion in stream flow: Monte Mor basin case study
The effects of the short-term Brazilian sugarcane expansion in stream flow: Monte Mor basin case study Hernandes, TAD; Scarpare, FV; Seabra, JEA; Duft, DG; Picoli, MCA; Walter, A Overview 12,000,000 10,000,000
More informationHamid R. Solaymani. A.K.Gosain
Motivation An integrated management plan is required to prevent the negative impacts of climate change on social- economic and environment aspects Each of these segments is expected to be strongly impacted
More informationCalibration and sensitivity analysis of SWAT for a small forested catchment, northcentral
Calibration and sensitivity analysis of SWAT for a small forested catchment, northcentral Portugal Rial-Rivas, M.E. 1 ; Santos, J. 1 ;Bernard-Jannin L. 1 ; Boulet, A.K. 1 ; Coelho, C.O.A. 1 ; Ferreira,
More informationSimulation of stream discharge from an agroforestry catchment in NW Spain using the SWAT model
Simulation of stream discharge from an agroforestry catchment in NW Spain using the SWAT model Rodríguez-Blanco, M.L. 1, 2, Taboada-Castro, M.M. 1, Arias, R. 1, Taboada-Castro, M.T. 1, Nunes, J.P. 2, Rial-Rivas,
More informationAssessing the impact of projected climate changes on small coastal basins of the Western US
Assessing the impact of projected climate changes on small coastal basins of the Western US William Burke Dr. Darren Ficklin Dept. of Geography, Indiana University Introduction How will climate change
More informationsoil losses in a small rainfed catchment with Mediterranean
Using SWAT to predict climate change effects on runoff and soil losses in a small rainfed catchment with Mediterranean climate of NE Spain Ramos MC, Martínez-Casasnovas JA Department of Environment and
More informationMalfunctioning of streamgauge stations in the Chanza and Arochete rivers (Huelva, Spain) detected from hydrological modeling with SWAT.
Malfunctioning of streamgauge stations in the Chanza and Arochete rivers (Huelva, Spain) detected from hydrological modeling with SWAT. L. Galván, M. Olías and A. Van Griensven Introduction The Odiel river
More informationModelling of the Hydrology, Soil Erosion and Sediment transport processes in the Lake Tana Catchments of Blue Nile River Basin, Ethiopia
Modelling of the Hydrology, Soil Erosion and Sediment transport processes in the Lake Tana Catchments of Blue Nile River Basin, Ethiopia Combining Field Data, Mathematical Models and Geographic Information
More informationRegionalization of SWAT Model Parameters for Use in Ungauged Watersheds
Water 21, 2, 849-871; doi:1.339/w24849 OPEN ACCESS water ISSN 273-4441 www.mdpi.com/journal/water Article Regionalization of SWAT Model Parameters for Use in Ungauged Watersheds Margaret W. Gitau 1, *and
More informationSWAT application to simulate the impact of soil conservation measurements on soil and nutrient losses in a small basin with mechanised vineyards
Soil loss prediction using SWAT in a small ungaged catchment Soil loss prediction using SWAT in a small ungaged catchment with Mediterranean climate and vines as the main land use Ramos MC & Martínez-Casasnovas
More informationEvaluation of Mixed Forest Evapotranspiration and Soil Moisture using Measured and SWAT Simulated Results in a Hillslope Watershed
KONKUK UNIVERSITY Evaluation of Mixed Forest Evapotranspiration and Soil Moisture using Measured and SWAT Simulated Results in a Hillslope Watershed 5 August 2010 JOH, Hyung-Kyung Graduate Student LEE,
More informationHydrological Modelling of Narmada basin in Central India using Soil and Water Assessment Tool (SWAT)
Hydrological Modelling of Narmada basin in Central India using Soil and Water Assessment Tool (SWAT) T. Thomas, N. C. Ghosh, K. P. Sudheer National Institute of Hydrology, Roorkee (A Govt. of India Society
More informationA comparison study of multi-gage and single-gage calibration of the SWAT model for runoff simulation in Qingjiang river basin
A comparison study of multi-gage and single-gage calibration of the SWAT model for runoff simulation in Qingjiang river basin Dan YU, Xiaohua DONG, Lei LI, Sanhong SONG, Zhixiang LV and Ji LIU China Three
More informationMulti-objective calibration approach for SWAT by using spatially distributed remotely sensed/in-situ soil moisture data
Multi-objective calibration approach for SWAT by using spatially distributed remotely sensed/in-situ soil moisture data Adnan Rajib Venkatesh Merwade Lyles School of Civil Engineering, Purdue University
More informationEffects of climate, objective function and sample size on global sensitivity in a SWAT Model
21st International Congress on Modelling and Simulation, Gold Coast, Australia, 29 Nov to 4 Dec 2015 www.mssanz.org.au/modsim2015 Effects of climate, objective function and sample size on global sensitivity
More informationSurface Soil Moisture Assimilation with SWAT
Surface Soil Moisture Assimilation with SWAT Eunjin Han, Venatesh Merwade School of Civil Engineering, Purdue University, West Lafayette, IN, USA Gary C. Heathman USDA-ARS, National Soil Erosion Research
More informationApplication of a Basin Scale Hydrological Model for Characterizing flow and Drought Trend
Application of a Basin Scale Hydrological Model for Characterizing flow and Drought Trend 20 July 2012 International SWAT conference, Delhi INDIA TIPAPORN HOMDEE 1 Ph.D candidate Prof. KOBKIAT PONGPUT
More informationEvaluating the Reduction Effect of Nonpoint Source Pollution Loads from Upland Crop Areas by Rice Straw Covering Using SWAT
SESSION J2 : Water Resources Applications - I New Delhi, India 2012 International SWAT Conference Evaluating the Reduction Effect of Nonpoint Source Pollution Loads from Upland Crop Areas by Rice Straw
More informationParameter Calibration of SWAT Hydrology and Water Quality Focusing on Long-term Drought Periods
2017 SWAT June 28-30, 2017 Centrum Wodne SGGW, Warsaw, Poland Theme I3 Environmental Applications Room: Assembly Hall 2 2017 International SWAT Conference Parameter Calibration of SWAT Hydrology and Water
More informationJoint Research Centre (JRC)
Joint Research Centre (JRC) Marco Pastori and Faycal Bouraoui IES - Institute for Environment and Sustainability Ispra - Italy http://ies.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ CONTENT Introduction
More informationDevelopment of Urban Modeling Tools in SWAT
29 International SWAT conference August 5-7 Boulder, CO Development of Urban Modeling Tools in SWAT J. Jeong, N. Kannan, J. G. Arnold, R. Glick, L. Gosselink, R. Srinivasan LOGO Tasks in urban SWAT project
More informationIMPACT OF LAND USE/COVER CHANGES ON STREAMFLOW:
IMPACT OF LAND USE/COVER CHANGES ON STREAMFLOW: THE CASE OF HARE RIVER WATERSHED, ETHIOPIA Kassa Tadele and Gerd Foerch University of Siegen July 06, 2007 Presentation outline 1. Introduction Study area
More informationIMPROVEMENT AND APPLICATION OF THE MODEL FOR PREDICTING PESTICIDE TRANSPORT: A CASE STUDY OF THE SAKURA RIVER WATERSHED
SWAT 2018 / VUB-Brussels, Belgium IMPROVEMENT AND APPLICATION OF THE PCPF-1@SWAT2012 MODEL FOR PREDICTING PESTICIDE TRANSPORT: A CASE STUDY OF THE SAKURA RIVER WATERSHED GLOBAL SUSTAINABLE RICE PRODUCTION
More informationApplication of the SWAT Model to the Hii River Basin, Shimane Prefecture, Japan
Application of the SWAT Model to the Hii River Basin, Shimane Prefecture, Japan H. Somura, I. Takeda, Y. Mori Shimane University D. Hoffman Blackland Research and Extension Center J. Arnold Grassland Soil
More informationLanie A. Alejo & Victor B. Ella* University of the Philippines Los Baños. *presenter
ASSESSING THE IMPACTS OF CLIMATE CHANGE ON DEPENDABLE FLOW AND POTENTIAL IRRIGABLE AREA USING THE SWAT MODEL: THE CASE OF MAASIN RIVER WATERSHED IN LAGUNA, PHILIPPINES Lanie A. Alejo & Victor B. Ella*
More informationAPPLICATION OF SWAT MODEL TO THE STUDY AREA
CHAPTER 5 APPLICATION OF SWAT MODEL TO THE STUDY 5.1 Introduction The Meenachil river basin suffers from water shortage during the six non-monsoon months of the year. The available land and water resources
More informationJian Liu, Tamie L. Veith, Amy S. Collick, Peter J. A. Kleinman, Douglas B. Beegle, and Ray B.
Jian Liu, Tamie L. Veith, Amy S. Collick, Peter J. A. Kleinman, Douglas B. Beegle, and Ray B. Bryant Seasonal manure application timing and storage effects on field and watershed level phosphorus losses
More informationColumbia, Missouri. Contents
Supplemental Material to Accompany: Long-term Agro-ecosystem Research in the Central Mississippi River Basin, USA - SWAT Simulation of Flow and Water Quality in the Goodwater Creek Experimental Watershed
More informationAssessment of SWAT Potential Evapotranspiration Options and data-dependence for Estimating Actual Evapotranspiration and Streamflow
2011 International SWAT Conference Toledo, Spain June 15-17, 2011 Assessment of SWAT Potential Evapotranspiration Options and data-dependence for Estimating Actual Evapotranspiration and Streamflow Aouissi
More informationOptimal Estimation of SWAT Model Parameters using Adaptive Surrogate Modelling
INTERNATIONAL SOIL AND WATER ASSESSMENT TOOL CONFERENCE 10/01/2018 to 12/01/2018 Optimal Estimation of SWAT Model Parameters using Adaptive Surrogate Modelling Venkatesh B 1, Roshan Srivastav 2 1 M.Tech
More informationSWAT modelling approach to assess the impacts of Best Management Practices (BMPs) in a potato crop by Natalia Uribe
International SWAT conference June 28-30, Warsaw (Poland) 2017 SWAT modelling approach to assess the impacts of Best Management Practices (BMPs) in a potato crop by Natalia Uribe Dr. Marcela Quintero;
More informationEffects of land use change on the water resources of the Basoda basin using the SWAT model
INDIAN INSTITUTE OF TECHNOLOGY ROORKEE Effects of land use change on the water resources of the Basoda basin using the SWAT model By Santosh S. Palmate* 1 (Ph.D. Student) Paul D. Wagner 2 (Postdoctoral
More informationImproved Lower Mekong River Basin Hydrological Decision Making Using NASA Satellite-based Earth Observation Systems
Improved Lower Mekong River Basin Hydrological Decision Making Using NASA Satellite-based Earth Observation Systems Ibrahim Mohammed Ibrahim.mohammed@nasa.gov John Bolten R. Srinivasan Venkat Lakshmi AGU
More informationCLIMATE CHANGE EFFECT ON WATER RESOURCES USING CLIMATE MODEL DATA OF INDIAN RIVER BASIN
CLIMATE CHANGE EFFECT ON WATER RESOURCES USING CLIMATE MODEL DATA OF INDIAN RIVER BASIN Naga Sowjanya.P 1, Venkat Reddy.K 2, Shashi.M 3 1 Research Scholar, National Institute of Technology Warangal, sowjy127@gmail.com
More informationPerformance Evaluation of SWAT-CN and SWAT-WB Hydrological Models for Estimation of Runoff in the Didessa Watershed, Abbay Basin, Ethiopia
Performance Evaluation of SWAT-CN and SWAT-WB Hydrological Models for Estimation of Runoff in the Didessa Watershed, Abbay Basin, Ethiopia Tekabe Tekle 1 Adane Abebe 2 1.Water Resources Research Center,
More informationWatershed Modeling of Haw River Basin using SWAT for Hydrology, Water Quality and Climate Change Study
Watershed Modeling of Haw River Basin using SWAT for Hydrology, Water Quality and Climate Change Study Somsubhra Chattopadhyay, Graduate Student Manoj K. Jha, Assistant Professor Civil Engineering Department
More informationCalibration and validation of SWAT model and estimation of water balance components of Shaya mountainous watershed, Southeastern Ethiopia
Hydrol. Earth Syst. Sci. Discuss.,, 139 13978, 13 www.hydrol-earth-syst-sci-discuss.net//139/13/ doi:.194/hessd--139-13 Author(s) 13. CC Attribution 3.0 License. Hydrology and Earth System Sciences Discussions
More informationApplication of SWAT for Water Quality Modeling of the Caddo Lake Watershed, TX
Application of SWAT for Water Quality Modeling of the Caddo Lake Watershed, TX Kendra Riebschleager, M.S., E.I.T. August 5, 2009 Espey Consultants, Inc. 3809 S. 2 nd Street, B-300 Austin, TX 78704 512.326.5659
More informationUsing Multi-Criterea Calibration Methods to Estimate Nitrate Pollution in a Large Basin with Limited Data
Using Multi-Criterea Calibration Methods to Estimate Nitrate Pollution in a Large Basin with Limited Data Daniel Hawtree Stefan Julich, Karl-Heinz Feger SWAT Conference Warsaw Poland 28-30 June 2017 Technische
More informationAnna Malago` July, 17 th 2013
Department of Engineering - University of Ferrara Anna Malago` July, 17 th 2013 Eng. Anna Malago` - PhD student at Ferrara University Water Resources Unit Institute for Environment and Sustainability Joint
More informationEvaluation of SWAT in the context of climate change in a German lowland catchment. Björn Guse, Matthias Pfannerstill and Nicola Fohrer
Evaluation of SWAT in the context of climate change in a German lowland catchment Björn Guse, Matthias Pfannerstill and Nicola Fohrer Motivation Changing climate conditions affect hydrological cycle Demand
More informationUNCERTAINTY ISSUES IN SWAT MODEL CALIBRATION AT CIRASEA WATERSHED, INDONESIA.
UNCERTAINTY ISSUES IN SWAT MODEL CALIBRATION AT CIRASEA WATERSHED, INDONESIA. Sri Malahayati Yusuf 1 Kukuh Murtilaksono 2 1 PhD Student of Watershed Management Major, Bogor Agricultural University 2 Department
More informationAgricultural drought analysis in the Arrecife basin (Pampas region, Argentina) using the SWAT model
Agricultural drought analysis in the Arrecife basin (Pampas region, Argentina) using the SWAT model Mag. Sofia B. Havrylenko, Dr. José María Bodoque del Pozo, Mag. Graciela V. Zucarelli, Ph. Dr. Pablo
More informationInstitute of Water and Flood Management, BUET, Dhaka. *Corresponding Author, >
ID: WRE 002 HYDROLOGICAL MODELING FOR THE SEMI UNGAUGED BRAHMAPUTRA RIVER BASIN USING SWAT MODEL S. Paul 1*, A.S. Islam 1, M. A. Hasan 1, G. M.T. Islam 1 & S. K. Bala 1 1 Institute of Water and Flood Management,
More informationTECHNICAL NOTE: ESTIMATION OF FRESH WATER INFLOW TO BAYS FROM GAGED AND UNGAGED WATERSHEDS. T. Lee, R. Srinivasan, J. Moon, N.
TECHNICAL NOTE: ESTIMATION OF FRESH WATER INFLOW TO BAYS FROM GAGED AND UNGAGED WATERSHEDS T. Lee, R. Srinivasan, J. Moon, N. Omani ABSTRACT. The long term estimation of fresh water inflow to coastal bays
More informationRunoff and Sediment Yield Estimation by SWAT Model: Review and Outlook
International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 10 (2018) Journal homepage: http://www.ijcmas.com Review Article https://doi.org/10.20546/ijcmas.2018.710.097
More informationHydrologic assessment in a Brazilian forest watershed using SWAT model
2014 International SWAT Conference Porto de Galinhas, Brazil Hydrologic assessment in a Brazilian forest watershed using SWAT model Nadia Bernardi Bonumá; C. W. Corseuil; C. G. Rossi; M. Kobiyama; P R.
More informationHydrologic Modeling of Cedar Creek Watershed using SWAT
North Central Texas Water Quality Project Hydrologic Modeling of Cedar Creek Watershed using SWAT Balaji Narasimhan, Raghavan Srinivasan, Steve Bernardz and Mark Ernst Cedar Creek Reservoir Total Watershed
More informationComparative analysis of SWAT model with Coupled SWAT-MODFLOW model for Gibbs Farm Watershed in Georgia
2018 SWAT INTERNATIONAL CONFERENCE, JAN 10-12, CHENNAI 1 Comparative analysis of SWAT model with Coupled SWAT-MODFLOW model for Gibbs Farm Watershed in Georgia Presented By K.Sangeetha B.Narasimhan D.D.Bosch
More informationSimulation of Stream Flow Using Soil and Water Assessment Tool (SWAT) in Upper Ayeyarwady Basin
Simulation of Stream Flow Using Soil and Water Assessment Tool (SWAT) in Upper Ayeyarwady Basin Su Wai Aung #1, and Nilar Aye *2 Abstract Stream flow is very important in water cycle and useful water resources
More informationEstimating catchment sediment yield, reservoir sedimentation and reservoir effective life using SWAT Model
Estimating catchment sediment yield, reservoir sedimentation and reservoir effective life using SWAT Model Sanjeet Kumar a *, Ashok Mishra a, N.S. Raghuwanshi a a Department of Agricultural and Food Engineering.
More informationThe Spatial Analysis between SWAT Simulated Soil Moisture, and MODIS LST and NDVI Products
Konkuk University, Seoul, South Korea The Spatial Analysis between SWAT Simulated Soil Moisture, and MODIS LST and NDVI Products Geun Ae PARK Post-doctoral Researcher, Dept. of Civil and Environmental
More informationAssessment of Climate Change Impact on Best Management Practices in the Yeongsan Watershed using the Multi-objective Decision Support System
Assessment of Climate Change Impact on Best Management Practices in the Yeongsan Watershed using the Multi-objective Decision Support System Dong Jin Jeon, Kyung Hwa Cho*, Jae-Woon Jung**, Yongen Park,
More informationThe simulation of watershed-scale effectiveness of agricultural best management practices in a drinking water resource area of Beijing, China
The simulation of watershed-scale effectiveness of agricultural best management practices in a drinking water resource area of Beijing, China Jiali Qiu Ph.D candidate School of Environment Beijing Normal
More informationField Observations and Model Simulations of an Extreme Drought Event in the Southeast Brazil
Field Observations and Model Simulations of an Extreme Drought Event in the Southeast Brazil Leonardo Domingues, Humberto Rocha, Jonathan Mota da Silva Warsaw, Poland 2017 Jaguari Sub-basin Drainage area:
More informationAn approach to assess SWAT model performance in evaluating management actions in a Finnish catchment
An approach to assess SWAT model performance in evaluating management actions in a Finnish catchment Ilona Bärlund Finnish Environment Institute (SYKE), Helsinki Teija Kirkkala Southwest Finland Regional
More informationEvaluation of future climate change impacts on hydrologic processes in the Peruvian Altiplano region using SWAT
Evaluation of future climate change impacts on hydrologic processes in the Peruvian Altiplano region using SWAT Carlos Antonio Fernández-palomino (cafpxl@gmail.com) 1,2 ; Fred F. Hattermann 1 ; Waldo S
More informationAssessing the benefit of improved precipitation input in SWAT model simulations
Assessing the benefit of improved precipitation input in SWAT model simulations Ilyas Masih 1,2, Shreedhar Maskey 2, Stefan Uhlenbrook 2,3, Vladimir Smakhtin 1 1 International Water Management Institute
More informationComparison of three regionalization techniques for predicting streamflow in ungaged watersheds in Nebraska, USA using SWAT model
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Biological Systems Engineering: Papers and Publications Biological Systems Engineering 2018 Comparison of three regionalization
More informationClimate Change Impacts: An Assessment for Water Resources Planning and Management in the Pacific Northwest of the U.S
Boise State University ScholarWorks Civil Engineering Faculty Publications and Presentations Department of Civil Engineering 7-1-211 Climate Change Impacts: An Assessment for Water Resources Planning and
More informationAssessment of StreamFlow Using SWAT Hydrological Model
Assessment of StreamFlow Using SWAT Hydrological Model Sreelakshmi C.M. 1 Dr.K.Varija 2 1 M.Tech student, Applied Mechanics and Hydraulics, NITK, Surathkal,India 2 Associate Professor, Department of Applied
More informationIdentifying Hydrologic Processes in Agricultural Watersheds Using Precipitation-Runoff Models
National Water-Quality Assessment (NAWQA) Program Identifying Hydrologic Processes in Agricultural Watersheds Using Precipitation-Runoff Models STREAMFLOW, IN MILLIMETERS 5 45 4 35 3 25 2 15 1 WEBMOD Infiltration
More informationComparison of Model Evaluation Methods to Develop a Comprehensive Watershed Simulation Model. Misgana Muleta, Ph. D., P.E.
Comparison of Model Evaluation Methods to Develop a Comprehensive Watershed Simulation Model Misgana Muleta, Ph. D., P.E. Abstract Comprehensive environmental models such as the Soil and Water Assessment
More informationImpact of non-point source pollution on water quality of Pengxi River using SWAT model after 175-meter water project operation of the Three Gorges Dam
Purdue University, USA Impact of non-point source pollution on water quality of Pengxi River using SWAT model after 175-meter water project operation of the Three Gorges Dam Yingyuan Shi, Wanshun Zhang,
More informationCalibration and validation of SWAT model for estimating water balance and nitrogen losses in a small agricultural watershed in central Poland
DOI: 10.1515/jwld-2016-0010 Polish Academy of Sciences, Committee for Land Reclamation JOURNAL OF WATER AND LAND DEVELOPMENT and Environmental Engineering in Agriculture, 2016 2016, No. 29 (IV VI): 31
More informationEvaluating Hydrologic Response of an Agricultural Watershed for Watershed Analysis
Water 2011, 3, 604-617; doi:10.3390/w3020604 OPEN ACCESS water ISSN 2073-4441 www.mdpi.com/journal/water Article Evaluating Hydrologic Response of an Agricultural Watershed for Watershed Analysis Manoj
More informationHydrologic Simulations of the Maquoketa River Watershed Using SWAT
Hydrologic Simulations of the Maquoketa River Watershed Using SWAT Manoj Jha Working Paper 09-WP 492 June 2009 Center for Agricultural and Rural Development Iowa State University Ames, Iowa 50011-1070
More informationEvaluating the impacts of land use changes on hydrologic responses in the agricultural regions of Michigan and Wisconsin
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 21 22 23 24 25 26 27 28 29 31 32 33 34 35 36 37 Evaluating the impacts of land use changes on hydrologic responses in the agricultural regions of Michigan
More informationHydrological And Water Quality Modeling For Alternative Scenarios In A Semi-arid Catchment
Hydrological And Water Quality Modeling For Alternative Scenarios In A Semi-arid Catchment AZIZ ABOUABDILLAH, ANTONIO LO PORTO METIER Final Conference: Brussels, Belgium-4-6 November 2009 Outline Problem
More informationParallelizing SWAT Calibration in Windows using SUFI2 Program,
Parallelizing SWAT Calibration in Windows using SUFI2 Program, Lessons learned from Black Sea Catchment study Elham Rouholahnejad elham.rouholahnejad@eawag.ch 2012 International SWAT Conference July 16-20,
More informationBEST MANAGEMENT PRACTICES EFFECTIVENESS TO REDUCE SEDIMENT TRANSPORT TO MORRO BAY. A Thesis presented to
BEST MANAGEMENT PRACTICES EFFECTIVENESS TO REDUCE SEDIMENT TRANSPORT TO MORRO BAY A Thesis presented to the Faculty of California Polytechnic State University, San Luis Obispo In Partial Fulfillment of
More informationEvaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model
Water Resour Manage (211) 25:2595 2612 DOI 1.17/s11269-11-9828-8 Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model Peng Shi Chao Chen Ragahavan
More informationSIMULATING HYDROLOGICAL ALTERATIONS IN THE CONDITIONS OF LIMITED DATA: LESSONS FROM THE WALAWE RIVER BASIN IN SRI LANKA
SIMULATING HYDROLOGICAL ALTERATIONS IN THE CONDITIONS OF LIMITED DATA: LESSONS FROM THE WALAWE RIVER BASIN IN SRI LANKA Neelanga Weragala 1) and Vladimir Smakhtin 2) International Water Management Institute
More informationEstimation of transported pollutant load in Ardila catchment using the SWAT model
June 15-17 Estimation of transported pollutant load in Ardila catchment using the SWAT model 1 Engineering Department Polytechnic Institute of Beja 2 Section of Environmental and Energy Technical University
More informationModelling of Streamflow of a Catchment in Kenya
Journal of Water Resource and Protection, 2011, 3, 667-677 doi:10.4236/jwarp.2011.39077 Published Online September 2011 (http://www.scirp.org/journal/jwarp) Modelling of Streamflow of a Catchment in Kenya
More informationHydrological Modelling for Agricultural Water Management
Hydrological Modelling for Agricultural Water Management P V Raju National Remote Sensing Centre Indian Space Research Organisation raju_pv @ nrsc.gov.in Hydrological Models Simulate Surface Runoff Soil
More informationAssessment of sediment and carbon flux in a tropical watershed: the Red River study case (China and Vietnam)
Assessment of sediment and carbon flux in a tropical watershed: the Red River study case (China and Vietnam) Xi WEI Supervisors: Sabine SAUVAGE, Jose-Miguel SANCHEZ-PEREZ, Thi Phuong Quynh LE 2 th September
More informationAssessment of Ecosystem services with considering impact of Climate change on Godavari basin. Indian Institute of Technology Hyderabad, India
Assessment of Ecosystem services with considering impact of Climate change on Godavari basin Amarnath C R Research Scholar Dr. Shashidhar Associate Professor Indian Institute of Technology Hyderabad, India
More informationCONTINUOUS RAINFALL-RUN OFF SIMULATION USING SMA ALGORITHM
CONTINUOUS RAINFALL-RUN OFF SIMULATION USING SMA ALGORITHM INTRODUCTION Dr. R N Sankhua Director, NWA, CWC, Pune In this continuous rainfall-runoff simulation, we will perform a continuous or long-term
More informationImpacts of historically changed land use on the water quality of the rivers Reka and Dragonja, Slovenia
Agronomy Department, Chair for Agrometeorlogy, Agricultural Land Management, Economics and Rural Development Jamnikarjeva 11, 1 Ljubljana, Slovenia e-mail: matjaz.glavan@bf.uni-lj.si Impacts of historically
More informationL. BOITHIAS, D. d A. BRESSIANI, S. SAUVAGE, K.C. ABBASPOUR, R. SRINIVASAN, W. LUDWIG, E. RICHARD, J.-M. SANCHEZ-PEREZ
Application of the SWAT model to Mediterranean flash floods Does the use of fine climate stations grid and sub-basins delineation improve the modelling of river discharge and sediments fluxes at hourly
More informationSuitability of SWAT for the Conservation Effects Assessment Project: Comparison on USDA Agricultural Research Service Watersheds
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Publications from USDA-ARS / UNL Faculty U.S. Department of Agriculture: Agricultural Research Service, Lincoln, Nebraska
More informationHydrologic analysis for river Nyando using SWAT
Hydrol. Earth Syst. Sci. Discuss., 8, 1765 1797, 11 www.hydrol-earth-syst-sci-discuss.net/8/1765/11/ doi:.5194/hessd-8-1765-11 Author(s) 11. CC Attribution 3.0 License. Hydrology and Earth System Sciences
More informationProceedings of ASCE- Environment and Water Resources Institute Conference 2009
Proceedings of ASCE- Environment and Water Resources Institute Conference 2009 A comparison of a SWAT model for the Cannonsville Watershed with and without Variable Source Area Hydrology Josh Woodbury
More informationTurbidity Monitoring Under Ice Cover in NYC DEP
Turbidity Monitoring Under Ice Cover in NYC DEP Reducing equifinality by using spatial wetness information and reducing complexity in the SWAT-Hillslope model Linh Hoang 1,2, Elliot M. Schneiderman 2,
More informationSimulating hydrologic responses to alternate grazing management practices at the ranch and watershed scales
doi:1.89/jswc.7..1 Simulating hydrologic responses to alternate grazing management practices at the ranch and watershed scales J.Y. Park, S. Ale, W.R. Teague, and S.L. Dowhower Abstract: Grazing management
More informationKangwon National University
2011. 6. 16 Kangwon National University Ⅰ Introduction Ⅱ Ⅰ Methodologies Ⅲ Ⅰ Results Ⅳ Ⅰ Conclusions Ⅰ Introduction Using SWAT 1. Control the rising water temperature 2. Provide habitat for animal 3. Control
More informationWe are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists 4,1 116, 12M Open access books available International authors and editors Downloads Our authors
More informationMajid Fereidoon Prof. Manfred Koch
An integrated MODSIM- PSO Model for optimal Multi-Crop Planning in the agricultural Areas of the Karkheh River Basin, Iran, under the Impacts of Climate Change Majid Fereidoon Prof. Manfred Koch Contents
More informationEvaluation of Model Calibration and Uncertainty Analysis with Incorporation of Watershed General Information
Evaluation of Model Calibration and Uncertainty Analysis with Incorporation of Watershed General Information Haw Yen R. Bailey, M. Ahmadi, M. Arabi, M. White, J. Arnold July 17, 2013 2013 International
More informationModel Performance Sensitivity to Objective Function during Automated Calibrations
Model Performance Sensitivity to Objective Function during Automated Calibrations Misgana K. Muleta Abstract: Previous studies have reported limitations of the efficiency criteria commonly used in hydrology
More informationAPPLICATION OF SWAT MODEL FOR GENERATING SURFACE RUNOFF AND ESTIMATION OF WATER AVAILABILITY FOR BALEHONNURU CATCHMENT AREA FOR BADHRA RIVER BASIN
APPLICATION OF SWAT MODEL FOR GENERATING SURFACE RUNOFF AND ESTIMATION OF WATER AVAILABILITY FOR BALEHONNURU CATCHMENT AREA FOR BADHRA RIVER BASIN Kasheebai byakod 1, Dr A.V.Shivapur 2, Dr. B. Venktesh
More informationSWAT-MODEL BASED IDENTIFICATION OF WATERSHED COMPONENTS IN A SEMI-ARID REGION WITH LONG TERM GAPS IN THE CLIMATOLOGICAL PARAMETERS DATABASE
HYDROLOGY AND WATER RESOURCES SWAT-MODEL BASED IDENTIFICATION OF WATERSHED COMPONENTS IN A SEMI-ARID REGION WITH LONG TERM GAPS IN THE CLIMATOLOGICAL PARAMETERS DATABASE M.Eng. Majid Fereidoon Prof. Dr.
More informationPREDICTION OF THE STREAMFLOW OF HADEJIA-JAMA ARE-KOMADUGU-YOBE- RIVER BASIN, NORTH EASTERN NIGERIA, USING SWAT MODEL
Ethiopian Journal of Environmental Studies & Management 9 (2): 209 219, 2016. ISSN:1998-0507 doi: http://dx.doi.org/10.4314/ejesm.v9i2.8 Submitted: December 03, 2015 Accepted: March 29, 2016 PREDICTION
More informationCHAPTER FIVE Runoff. Engineering Hydrology (ECIV 4323) Instructors: Dr. Yunes Mogheir Dr. Ramadan Al Khatib. Overland flow interflow
Engineering Hydrology (ECIV 4323) CHAPTER FIVE Runoff Instructors: Dr. Yunes Mogheir Dr. Ramadan Al Khatib Overland flow interflow Base flow Saturated overland flow ١ ٢ 5.1 Introduction To Runoff Runoff
More informationEstimated Calibration Parameters in SWAT Model for Andean Watersheds
Estimated Calibration Parameters in SWAT Model for Andean Watersheds Jefferson Valencia Gómez Decision and Policy Analysis j.valencia@cgiar.org July 18 th, 2013 Ecosystem Services Team Marcela Quintero
More informationRainfall-Runoff Simulation using Remote Sensing and GIS Tool (SWAT Model) (A Case Study: Xebanghieng Basin in Lao PDR)
Rainfall-Runoff Simulation using Remote Sensing and GIS Tool (SWAT Model) (A Case Study: Xebanghieng Basin in Lao PDR) Kaona Boupha* M.Tech, Indian Institute of Technology Roorkee,INDIA, 247667 Email-
More informationMODELING LONG-TERM WATER QUALITY IMPACT OF STRUCTURAL BMPS
MODELING LONG-TERM WATER QUALITY IMPACT OF STRUCTURAL BMPS K. S. Bracmort, M. Arabi, J. R. Frankenberger, B. A. Engel, J. G. Arnold ABSTRACT. Structural best management practices (BMPs) that reduce soil
More information