Prof K P Sudheer
vidwan id: 17258
Professor, Department of Civil Engineering
Indian Institute of Technology Madras
Expertise
- Civil Engineering
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Scopus
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40
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5164
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35
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Bio
Hydrologic Modelling, Stochastic Hydrology, Hydrological forecasting, Predictions in Ungauged Basins, Uncertainty Analysis, Sensitivity Analysis ? Irrigation Water Management ? Application of ANN and Fuzzy systems to Hydrology and Water Resources ? Knowledge Extraction from and Knowledge Embedding in Soft Computing based Models
Personal Details
- Male
- Professor , Indian Institute of Technology Madras
- Indian Institute of Technology, Madras
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Co-Authors (32)
Indian Institute of Technology Delhi
N/A
Indian Institute of Technology, Palakkad
Indian Institute of Technology Bombay
Indian Institute of Technology Madras
Motilal Nehru National Institute of Technology Allahabad
Indian Institute of Technology Delhi
Prof Indumathi Manivannan Nambi
Indian Institute of Technology Madras
Indian Institute of Technology Roorkee
Anna University
Indian Institute of Technology Madras
Indian Institute of Technology Madras
Indian Institute of Technology Kharagpur
Indian Institute of Technology Madras
Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur
CSIR-National Geophysical Research Institute
Indian Institute of Technology, Tirupati
Indian Institute of Technology Madras
Indian Institute of Technology Madras
Indian Institute of Technology Madras
Indian Institute of Technology Gandhinagar
CSIR-National Geophysical Research Institute
Indian Institute of Technology Bombay
Indian Institute of Technology Madras
Indian Institute of Technology Bombay
Indian Institute of Technology Roorkee
Indian Institute of Technology Roorkee
Indian Institute of Technology (Indian School of Mines), Dhanbad
Delhi Technological University
National Institute of Technology Warangal
Indian Institute of Science Bangalore
Scholarly Work
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Development of a hydrological model for administrative catchments and its application in watershed management decisions
Optimal water resources management in narmada basin as a climate change adaptation tool
Regionalization of distributed hydrological models: A method to predict streamflow in ungauged basins and to quantify predictive uncertainty
Uncertainty analysis of neural network based hydrologic models
Optimal irrigation scheduling under water deficit conditions using crop growth simulation models .
Equitable supply in water distribution systems .
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Scholarly Publications
Updating the coupling algorithm between HYDRUS and MODFLOW in the HYDRUS package for MODFLOW
Open AccessA computationally efficient method for uncertainty analysis of SWAT model simulations
Open AccessAn improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment
Open Access
10.1016/j.jhydrol.2017.11.010
107
121
Probabilistic and ensemble simulation approaches for input uncertainty quantification of artificial neural network hydrological models
Open AccessSpatial optimization of cropping pattern for sustainable food and biofuel production with minimal downstream pollution
Open AccessPerennial biomass production from marginal land in the Upper Mississippi River Basin
Open Access
10.1002/ldr.2971
20
24