Dr. P C Nayak

Scientist 'G' & Head (SWHD), Nodal Officer (NHP)

Surface Water Hydrology Division, National Institute of Hydrology Jalvigyan Bhawan, Roorkee

nayak.nihr@gov.in +919492776420

About

My research interests are focused on application of modern computing tools to water resources analysis and hydrologic modelling using conceptual, distributed and data driven algorithm. Soft computing has to date been the main topic of investigation, in particular exploring the potential benefits and pitfalls that are associated with the use of fuzzy computing technique and artificial neural networks, either alone, or in combination with each other by developing hybrid intelligent systems. These emergent soft computing technologies have been used to perform different types of hydrological modelling and water resources management and to develop alternative solutions. My specific research interest includes: Theory and Methods: Neural Networks, Fuzzy logic, Hybrid Intelligent Systems, Computational Hydraulic, Stochastic Hydrology. Applications: Watershed Management, Hydrologic modeling, Climate Change on Water Resources, drought analysis, Flow Computation, Rainfall-runoff modeling, Flood Forecasting, Time series modeling.

Academic Qualifications

DegreeSubjectUniversityYear
B. Tech (Civil Engineering) Civil Engineering CET, OUAT, Bhubaneswar 1993
M. Tech (Water Resources Engineering) Water Resources Engineering IIT Kharagpur 1995
Ph. D Water Resources Engineering IIT Madras, Chennai 2008

Experience

Administrative Roles

Research Interest

Publications

International Journal

  1. Explaining internal behavior in a fuzzy if-then rule-based flood-forecasting model
    Nayak, P.C
    Journal of Hydrologic Engineering (2010 )
  2. Modelling runoff and sediment rate using a neuro-fuzzy technique
    Nayak, P.C., Jain, S.K.
    Proceedings of the Institution of Civil Engineers: Water Management (2011 )
  3. Time Series Modeling in Water Resources Planning and Management,
    Satyaji Rao, Y.R., Krishna, B. and Nayak, P.C.
    International Journal of Earth Sciences & Engineering (2011 )
  4. Time Series Modeling of River Flow Using Wavelet Neural Networks,
    Krishna, B., Satyaji Rao, Y.R. and Nayak, P.C.
    Journal of Water Resource and Protection (2011 )
  5. Comprehensive evaluation of the changing drought characteristics in Bundelkhand region of Central India
    Thomas, T., Jaiswal, R.K., Nayak, P.C., Ghosh, N.C.
    Meteorology and Atmospheric Physics (2015 )
  6. Regional Flood Frequency Analysis using Soft Computing Techniques
    Kumar, R., Goel, N.K., Chatterjee, C., Nayak, P.C.
    Water Resources Management (1015 )
  7. Water balance approach to study the effect of climate change on groundwater storage for Sirhind command area in India
    Nayak, P.C., Wardlaw, R., Kharya, A.K
    International Journal of River Basin Management (2015 )
  8. Spatiotemporal analysis of drought characteristics in the bundelkhand region of central india using the standardized precipitation index
    Thomas, T., Nayak, P.C., Ghosh, N.C.
    Journal of Hydrologic Engineering (2015 )
  9. Drought indicators-based integrated assessment of drought vulnerability: a case study of Bundelkhand droughts in central India
    Thomas, T., Jaiswal, R.K., Galkate, R., Nayak, P.C., Ghosh, N.C.
    Natural Hazards (2016 )
  10. Performance evaluation and hydrological trend detection of a reservoir under climate change condition
    Rabindranath Sethi1, Brij Kishor Pandey, Radha Krishan, Deepak Khare and P. C. Nayak
    Model. Earth Syst. Environ. (2016 )
  11. Trends in rainfall and peak flows for some river basins in India
    Jain, S.K., Nayak, P.C., Singh, Y., Chandniha, S.K.
    Current Science (2017 )
  12. Recharge source identification using isotope analysis and groundwater flow modeling for Puri city in India
    Nayak, P.C., Vijay Kumar, S.V., Rao, P.R.S., Vijay, T.
    Applied Water Sciences (2017 )
  13. Modeling of a River Basin Using SWAT Model
    Venkatesh, B., Chandramohan, T., Purandara, B. K., Jose, Mathew K. and Nayak, P. C.
    Hydrologic Modeling, Water Science and Technology Library 81 (2018 )
  14. Spatio-temporal rainfall variability and trend analysis for Krishna River Basin in India
    Harshavardhan, P.L., Nayak, P.C. and Kumar Sanjeet
    Indian Journal of Ecology (2020 )
  15. Dam Break Analysis using HEC-RAS and Flood Inundation Modelling for Pulichinatala Dam in Andhra Pradesh, India
    Meenakshi Ramola, P.C. Nayak, B. Venkatesh and T. Tomas
    Indian Journal of Ecology (2021 )
  16. Improving peak flow estimates in artificial neural network river flow models
    Sudheer, K.P., Nayak, P.C., Ramasastri, K.S.
    Hydrological Processes (2003 )
  17. A neuro-fuzzy computing technique for modeling hydrological time series
    Nayak, P.C., Sudheer, K.P., Rangan, D.M., Ramasastri, K.S.
    Journal of Hydrology (2004 )
  18. Fuzzy computing based rainfall-runoff model for real time flood forecasting
    Nayak, P.C., Sudheer, K.P., Ramasastri, K.S.
    Hydrological Processes (2005 )
  19. Short-term flood forecasting with a neurofuzzy model
    Nayak, P.C., Sudheer, K.P., Rangan, D.M., Ramasastri, K.S
    Water Resources Research (2005 )
  20. Groundwater level forecasting in a shallow aquifer using artificial neural network approach
    Nayak, P.C., Satyaji Rao, Y.R., Sudheer, K.P.
    Water Resources Management (2006 )
  21. Rainfall-runoff modeling through hybrid intelligent system
    Nayak, P.C., Sudheer, K.P., Jain, S.K.
    Water Resources Research (2007 )
  22. Fuzzy model identification based on cluster estimation for reservoir inflow forecasting
    Nayak, P.C., Sudheer, K.P.
    Hydrological Processes (2008 )
  23. Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation
    Jain, S.K., Nayak, P.C., Sudheer, K.P.
    Hydrological Processes (2008 )
  24. Comparison of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference system and bootstrap-based neural network for flood forecasting
    Kant, A., Suman, P.K., Giri, B.K., Tiwari, M.K., Chatterjee, C., Nayak, P.C., Kumar, S.
    Neural Computing and Applications (2013 )
  25. Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach
    Nayak, P.C., Venkatesh, B., Krishna, B., Jain, S.K.
    Journal of Hydrology (2013 )
  26. Hierarchical neurofuzzy model for real-time flood forecasting
    Rath, S., Nayak, P.C., Chatterjee, C.
    International Journal of River Basin Management (2013 )
  27. Irrigation planning for sustainable rain-fed agriculture in the drought-prone Bundelkhand region of Madhya Pradesh, India
    Thomas, T., Nayak, P.C., Ghosh, N.C.
    Journal of Water and Climate Change (2014 )
  28. River flow forecasting through nonlinear local approximation in a fuzzy model
    Nayak, P.C., Sudheer, K.P., Jain, S.K.
    Neural Computing and Applications (2014 )
  29. Spatio-temporal analysis of rainfall pattern in the Western Ghats region of India
    B. Venkatesh, P. C. Nayak, T. Thomas, Sharad K. Jain and J. V. Tyagi,
    Meteorology and Atmospheric Physics (2021 )
  30. Soil volumetric water content prediction using unique hybrid deeplearning algorithm
    Koustav Nath, P. C. Nayak, K. S. Kasiviswanathan
    Neural Computing and Applications (2024 )
  31. Long-term rainfall trend analysis for six homogeneous monsoon regions of India
    Meenakshi Ramola, Prabhash K Mishra, Purna C Nayak, Aradhana Thakur
    CURRENT SCIENCE (2025 )

National Journal

  1. Operating policy studies using optimization and simulation models for Kanjhari Reservoir in Orissa
    Nayak, P.C., Sudheer, K.P., Ramasastri, K.S.
    Journal of Applied Hydrology (2003 )
  2. Modeling regional groundwater quality parameters using multiple linear regression and artificial neural networks
    Satyaji Rao, Y.R., Nayak, P.C., Rangan, D.M. and Vijaya, T
    Hydrology Journal of IAH (2004 )
  3. Dam break analysis of Ghodahoda project, Orissa
    Nayak, P.C., Sudheer, K.P., Ramasastri, K.S.
    Journal of Applied Hydrology (2004 )

Book Chapter

  1. Impact of Climate Change of Floods
    Rakesh Kumar, Nayak, P. C., Patra, J. P. and Mani, Pankaj
    Climate Change and its Impacts on Water Resources with Focus on India (2019 )
  2. Fuzzy Nonlinear Function Approximation (FNLLA) Model for River Flow Forecasting
    Nayak, P.C., Sudheer, K.P., and Jain, S.K
    Water Resources Management and Modeling (2012 )
  3. Artificial Neural Network Driven and Wavelet Based Computing Approach in River Flow Modeling
    Nayak, P. C. and Sudheer, K. P
    Sustainable Holistic Water Resources Management in Changing Climate (2018 )
  4. Statistical Downscaling of Precipitation for Mahanadi Basin in India—Prediction of Future Streamflows
    P. C. Nayak, Poonam Wagh, B. Venkatesh, T. Thomas & Roshan Srivastav
    Modern River Science for Watershed Management , Springer (2024 )
  5. Impact of Climate Change on Flood
    Rakesh Kumar, P C Nayak, J P Patra, Pankaj Mani
    National Institute of Hydrology (2020 )

Projects

Conference & Training

Achievements

Professional Memberships

Student Guidance

Doctoral Supervision
“Modeling of Soil Moisture Dynamics using Deep Learning based Artificial Intelligence Techniques”. (Ongoing)
Student: Koustav Nath | University/Institute: IIT Roorkee | Year: 2023 | Role: Guide

Masters Supervision

Flood forecasting using Soft computing techniques
Student: Sagarika Rath | University/Institute: IIT Kharagpur | Year: 2008 | Role: Co-Guide
Development of a hybrid intelligence system by combining ANN and FIS for flood forecasting
Student: Piyush Kumar Singh | University/Institute: IIT Kharagpur | Year: 2009 | Role: Co-Guide
Flood Forecasting in Mahanadi River Basin using Soft Computing Techniques
Student: Pran Mohan Suman | University/Institute: IIT Kharagpur | Year: 2010 | Role: Co-Guide
Performance evaluation of Salia Irrigation Projects in changing climate
Student: Rabindra Nath Sethi | University/Institute: IIT Roorkee | Year: 2013 | Role: Co-Guide
Impact of climate change on water resources for Halia basin of Krishna River
Student: Kudupudi Chaitanya | University/Institute: VIT Vellore | Year: 2014 | Role: Co-Guide
Rainfall runoff modeling (Ongoing)
Student: Adarsh Kumar | University/Institute: NIT Kurukhetra | Year: 2023 | Role: Guide

Miscellaneous

Foreign Visits

Other Important Information