Purna C Nayak, Ph. D.
Purna C Nayak, Ph. D.
National Institute of Hydrology, Surface Water Hydrology Division, Roorkee-247667
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Cited by
Cited by
A neuro-fuzzy computing technique for modeling hydrological time series
PC Nayak, KP Sudheer, DM Rangan, KS Ramasastri
Journal of Hydrology 291 (1-2), 52-66, 2004
Groundwater level forecasting in a shallow aquifer using artificial neural network approach
PC Nayak, YRS Rao, KP Sudheer
Water resources management 20, 77-90, 2006
Short‐term flood forecasting with a neurofuzzy model
PC Nayak, KP Sudheer, DM Rangan, KS Ramasastri
Water Resources Research 41 (4), 2005
Fuzzy computing based rainfall–runoff model for real time flood forecasting
PC Nayak, KP Sudheer, KS Ramasastri
Hydrological Processes: An International Journal 19 (4), 955-968, 2005
Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation
SK Jain, PC Nayak, KP Sudheer
Hydrological Processes: An International Journal 22 (13), 2225-2234, 2008
Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach
PC Nayak, B Venkatesh, B Krishna, SK Jain
Journal of Hydrology 493, 57-67, 2013
Improving peak flow estimates in artificial neural network river flow models
KP Sudheer, PC Nayak, KS Ramasastri
Hydrological Processes 17 (3), 677-686, 2003
Drought indicators-based integrated assessment of drought vulnerability: a case study of Bundelkhand droughts in central India
T Thomas, RK Jaiswal, R Galkate, PC Nayak, NC Ghosh
Natural Hazards 81, 1627-1652, 2016
Rainfall‐runoff modeling through hybrid intelligent system
PC Nayak, KP Sudheer, SK Jain
Water Resources Research 43 (7), 2007
Spatiotemporal analysis of drought characteristics in the Bundelkhand region of central India using the standardized precipitation index
T Thomas, PC Nayak, NC Ghosh
Journal of Hydrologic Engineering 20 (11), 05015004, 2015
Time series modeling of river flow using wavelet neural networks
B Krishna, R YR Satyaji, N PC
Journal of Water Resource and Protection 2011, 2011
Comparison of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference system and bootstrap-based neural network for flood forecasting
A Kant, PK Suman, BK Giri, MK Tiwari, C Chatterjee, PC Nayak, S Kumar
Neural Computing and Applications 23, 231-246, 2013
Comprehensive evaluation of the changing drought characteristics in Bundelkhand region of Central India
T Thomas, RK Jaiswal, PC Nayak, NC Ghosh
Meteorology and Atmospheric Physics 127, 163-182, 2015
Trends in rainfall and peak flows for some river basins in India
SK Jain, PC Nayak, Y Singh, SK Chandniha
Current Science, 1712-1726, 2017
Regional flood frequency analysis using soft computing techniques
R Kumar, NK Goel, C Chatterjee, PC Nayak
Water resources management 29, 1965-1978, 2015
Fuzzy model identification based on cluster estimation for reservoir inflow forecasting
PC Nayak, KP Sudheer
Hydrological Processes: An International Journal 22 (6), 827-841, 2008
Performance evaluation and hydrological trend detection of a reservoir under climate change condition
R Sethi, BK Pandey, R Krishan, D Khare, PC Nayak
Modeling Earth Systems and Environment 1, 1-10, 2015
Water balance approach to study the effect of climate change on groundwater storage for Sirhind command area in India
PC Nayak, R Wardlaw, AK Kharya
International Journal of River Basin Management 13 (2), 243-261, 2015
Hierarchical neurofuzzy model for real-time flood forecasting
S Rath, PC Nayak, C Chatterjee
International journal of river basin management 11 (3), 253-268, 2013
Explaining internal behavior in a fuzzy if-then rule-based flood-forecasting model
PC Nayak
Journal of Hydrologic Engineering 15 (1), 20-28, 2010
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