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Dive into the research topics where Ragahavan Srinivasan is active.

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Featured researches published by Ragahavan Srinivasan.


The Open Hydrology Journal | 2008

Hydrological Modelling in the Lake Tana Basin, Ethiopia Using SWAT Model

Shimelis Gebriye Setegn; Ragahavan Srinivasan; Bijan Dargahi

The SWAT2005 model was applied to the Lake Tana Basin for modeling of the hydrological water balance. The main objective of this study was to test the performance and feasibility of the SWAT model for prediction of stream- flow in the Lake Tana Basin. The model was calibrated and validated on four tributaries of Lake Tana; Gumera, GilgelA- bay, Megech and Ribb rivers using SUFI-2, GLUE and ParaSol algorithms. The sensitivity analysis of the model to sub- basin delineation and HRU definition thresholds showed that the flow is more sensitive to the HRU definition thresholds than subbasin discretization effect. SUFI-2 and GLUE gave good result. All sources of uncertainties were captured by bracketing more than 60% of the observed river discharge. Baseflow (40% - 60%) is an important component of the total discharge within the study area that contributes more than the surface runoff. The calibrated model can be used for further analysis of the effect of climate and land use change as well as other different management scenarios on streamflow and soil erosion.


Journal of Hydrologic Engineering | 2013

Application of a SWAT Model for Hydrological Modeling in the Xixian Watershed, China

Peng Shi; Yuanbing Hou; Yongyu Xie; Chao Chen; Xi Chen; Qiongfang Li; Simin Qu; Xiuqin Fang; Ragahavan Srinivasan

AbstractWater scarcity in Huaihe River, the sixth largest river in China, is stressed by the changing climate and intense human activities, especially in the headwater area. Xixian, situated in the upper reaches of the Huai River, is an important agricultural county with a population of more than one million people, and nearly one billion kg of crop yield every year. The projected climate changes and increasing population are expected to further complicate the utilization of already stressed water resources, endangering the agricultural activities in this area. There is pressing need for a watershed model to better understand the interaction between land use activities and hydrologic processes and to support sustainable water use. This study evaluated the performance of the Soil and Water Assessment Tool (SWAT) for hydrologic modeling in the Xixian basin; three methods of calibration and uncertainty analysis (sequential uncertainty fitting, generalized likelihood uncertainty estimation, and parameter solu...


Journal of The American Water Resources Association | 2016

Estimating Evapotranspiration for Dryland Cropping Systems in the Semiarid Texas High Plains Using SWAT

Gary W. Marek; Prasanna H. Gowda; Steven R. Evett; R. Louis Baumhardt; David Brauer; Terry A. Howell; Thomas Marek; Ragahavan Srinivasan

The Soil and Water Assessment Tool (SWAT) is one of the most widely used watershed models for simulating hydrology in response to agricultural management practices. However, limited studies have been performed to evaluate the SWAT models ability to estimate daily and monthly evapotranspiration (ET) in semiarid regions. ET values were simulated using ArcSWAT 2012 for a lysimeter field managed under dryland conditions at the USDA-ARS Conservation and Production Research Laboratory at Bushland, Texas, and compared with measured lysimeter values from 2000 to 2010. Two scenarios were performed to compare SWATs performance: (1) use of default plant leaf area index (LAI) values in the embedded plant database and (2) adjusted LAI values. Scenario 1 resulted in an “unsatisfactory” Nash-Sutcliffe efficiency (NSE) of 0.42 and 0.38 for the calibration and validation periods, respectively. Scenario 2 resulted in a “satisfactory” NSE value for the calibration period while achieving a “good” NSE of 0.70 for the validation period. SWAT generally underestimated ET at both the daily and monthly levels. Overestimation during fallow years may be due to the limitations of the pothole function used to simulate furrow diking. Users should be aware of potential errors associated with using default LAI parameters. Inaccuracies in ET estimation may also stem from errors in the plant stress functions, particularly when evaluating water management practices for dryland watersheds.


Nile River Basin; (2011) | 2011

Climate Change Impact on Agricultural Water Resources Variability in the Northern Highlands of Ethiopia

Shimelis Gebriye Setegn; David Rayner; Assefa M. Melesse; Bijan Dargahi; Ragahavan Srinivasan; Anders Wörman

Climate Change impact on Agricultural Water Resources Variability in the Northern Highlands of Ethiopia


Journal of Hydrology | 2000

Regional estimation of base flow and groundwater recharge in the Upper Mississippi river basin

Jeffrey G. Arnold; R.S Muttiah; Ragahavan Srinivasan; Peter M. Allen


Hydrological Processes | 2009

SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia

Shimelis Gebriye Setegn; Ragahavan Srinivasan; Assefa M. Melesse; Bijan Dargahi


Hydrological Processes | 2009

Spatial delineation of soil erosion vulnerability in the Lake Tana Basin, Ethiopia

Shimelis Gebriye Setegn; Ragahavan Srinivasan; Bijan Dargahi; Assefa M. Melesse


Journal of The American Water Resources Association | 2010

Modeling of Sediment Yield From Anjeni-Gauged Watershed, Ethiopia Using SWAT Model

Shimelis Gebriye Setegn; Bijan Dargahi; Ragahavan Srinivasan; Assefa M. Melesse


Water Resources Management | 2011

Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model

Peng Shi; Chao Chen; Ragahavan Srinivasan; Xuesong Zhang; Tao Cai; Xiuqin Fang; Simin Qu; Xi Chen; Qiongfang Li


Journal of The American Water Resources Association | 2007

Evaluation of Three Watershed-Scale Pesticide Environmental Transport and Fate Models1

Ronald Parker; Jeffrey G. Arnold; Michael Barrett; Lawrence A. Burns; Lee Carrubba; S.L. Neitsch; N.J. Snyder; Ragahavan Srinivasan

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Shimelis Gebriye Setegn

Florida International University

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Bijan Dargahi

Royal Institute of Technology

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Assefa M. Melesse

Florida International University

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Jeffrey G. Arnold

Agricultural Research Service

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Ranjan S. Muttiah

Texas Christian University

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David Rayner

University of Gothenburg

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