C
C. Santhi
Researcher at Texas A&M University
Publications - 28
Citations - 5553
C. Santhi is an academic researcher from Texas A&M University. The author has contributed to research in topics: Soil and Water Assessment Tool & Watershed. The author has an hindex of 17, co-authored 27 publications receiving 4662 citations. Previous affiliations of C. Santhi include Texas AgriLife Research & Texas A&M University System.
Papers
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas
TL;DR: This study showed that a modeling approach can be used to estimate the impacts of water quality management programs in large watersheds and revealed that the benefits of the WQMPs were greater at the farm level and the benefits due to WQ MPs were 1e2% at the watershed level.
Journal ArticleDOI
Advances in the application of the SWAT model for water resources management
TL;DR: In this article, the authors describe the use of radar rainfall data in distributed hydrologic studies and the potential of SWAT for application in flood analysis and prediction for water resources management.
Journal ArticleDOI
Regional estimation of base flow for the conterminous United States by hydrologic landscape regions
TL;DR: In this article, the authors used a recursive digital filter method and interpolated to produce a raster grid map for the conterminous United States to identify the mean hydrologic flow response within HLR.