R
Raghavan Srinivasan
Researcher at Texas A&M University
Publications - 991
Citations - 43961
Raghavan Srinivasan is an academic researcher from Texas A&M University. The author has contributed to research in topics: Soil and Water Assessment Tool & SWAT model. The author has an hindex of 80, co-authored 959 publications receiving 37821 citations. Previous affiliations of Raghavan Srinivasan include IBM & Johns Hopkins University.
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Large Area Hydrologic Modeling and Assessment Part i: Model Development
TL;DR: A conceptual, continuous time model called SWAT (Soil and Water Assessment Tool) was developed to assist water resource managers in assessing the impact of management on water supplies and nonpoint source pollution in watersheds and large river basins as discussed by the authors.
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SWAT: Model Use, Calibration, and Validation
Jeffrey G. Arnold,Daniel N. Moriasi,Philip W. Gassman,Karim C. Abbaspour,Michael J. White,Raghavan Srinivasan,C. Santhi,R. D. Harmel,A. van Griensven,M. W. Van Liew,Narayanan Kannan,Manoj Jha +11 more
TL;DR: The SWAT-CUP tool as discussed by the authors is a semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration, and is used to provide statistics for goodness-of-fit.
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Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT
Karim C. Abbaspour,Jing Yang,Ivan Maximov,Rosi Siber,Konrad Bogner,Johanna Mieleitner,Juerg Zobrist,Raghavan Srinivasan +7 more
TL;DR: In this paper, the authors used the SWAT (Soil and Water Assessment Tool) to simulate all related processes affecting water quantity, sediment, and nutrient loads in the Thur River basin, which is a direct tributary to the Rhine.
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Validation of the SWAT Model on a Large River Basin With Point and Nonpoint Sources
C. Santhi,Jeffrey G. Arnold,James Williams,William A. Dugas,Raghavan Srinivasan,Larry M. Hauck +5 more
TL;DR: In this paper, the Soil Water Assessment Tool (SWAT) was validated for flow, sediment, and nutrients in the watershed to evaluate alternative management scenarios and estimate their effects in controlling pollution.
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A global sensitivity analysis tool for the parameters of multi-variable catchment models
A. van Griensven,Thomas Meixner,Sabine Grunwald,Thomas F. A. Bishop,M. Diluzio,Raghavan Srinivasan +5 more
TL;DR: In this article, a sampling strategy that is a combination of latin-hypercube and one-factor-at-a-time sampling that allows a global sensitivity analysis for a long list of parameters with only a limited number of model runs is described.