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Indrajeet Chaubey

Researcher at University of Connecticut

Publications -  200
Citations -  7980

Indrajeet Chaubey is an academic researcher from University of Connecticut. The author has contributed to research in topics: Watershed & SWAT model. The author has an hindex of 45, co-authored 195 publications receiving 6905 citations. Previous affiliations of Indrajeet Chaubey include University of Florida & Oklahoma State University–Stillwater.

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Effectiveness of Low Impact Development Practices: Literature Review and Suggestions for Future Research

TL;DR: Low impact development (LID) is a land development strategy for managing stormwater at the source with decentralized micro-scale control measures as discussed by the authors, which has been successfully used to manage stormwater runoff, improve water quality, and protect the environment.
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Sensitivity Analysis, Calibration, and Validations for a Multisite and Multivariable SWAT Model

TL;DR: In this article, the Soil and Water Assessment Tool (SWAT) watershed model was implemented in the Beaver Reservoir Watershed of Northwest Arkansas and a multiobjective function was defined that consisted of optimizing three statistics: percent relative error (RE), Nash-Sutcliffe Coefficient (R NS 2 ), and coefficient of determination (R 2 ).
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Sensitivity and identifiability of stream flow generation parameters of the SWAT model

TL;DR: In this paper, the authors present a sensitivity and identifiability analysis of model parameters that influence stream flow generation in SWAT and evaluate the sensitivity of the parameters in different climatic settings, temporal scales and flow regimes.
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Effect of DEM data resolution on SWAT output uncertainty

TL;DR: In this paper, the effect of input data resolution was evaluated by running seven scenarios at increasing DEM grid sizes (30 × 30 m, 100 × 100 m, 150 × 150 m, 200 × 200 m, 300 × 300 m, 500 × 500 m, 1000 × 1000 m).
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A review on effectiveness of best management practices in improving hydrology and water quality: Needs and opportunities.

TL;DR: The research community needs to work together in addressing needs and opportunities regarding BMP implementation in watershed management projects, which will assist decision makers in formulating better decisions regarding B MP implementation in water quality protection programs at watershed levels.