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Environmental Sciences

D-Index
50
Citations
9684
World Ranking
4978
National Ranking
1833

Overview

Rao S. Govindaraju is affiliated with Purdue University West Lafayette in the United States. The primary focus of their research lies within the field of Environmental Science, particularly emphasizing Water Science and Technology and Environmental Engineering, with additional work in Global and Planetary Change, Environmental Chemistry, and Civil and Structural Engineering.

The scientist has contributed extensively to topics such as Hydrology and Watershed Management Studies, Hydrological Forecasting Using AI, Groundwater Flow and Contamination Studies, Soil and Unsaturated Flow, Flood Risk Assessment and Management, Hydrology and Drought Analysis, and Aquatic Ecosystems and Phytoplankton Dynamics.

Recent notable publications by this researcher include:

  • Uncertainty quantification in watershed hydrology: Which method to use? (2022), Journal of Hydrology
  • Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning (2023), The Science of The Total Environment
  • The Role of Prior Probabilities on Parameter Estimation in Hydrological Models (2022), Water Resources Research
  • Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment (2020), Environmental Modelling & Software
  • A Machine Learning Approach to Predict Watershed Health Indices for Sediments and Nutrients at Ungauged Basins (2023), Water

Frequent co-authors collaborating with Rao S. Govindaraju include Abhinav Gupta, Mohamed M. Hantush, Renato Morbidelli, Corrado Corradini, and Abhishek Goyal.

Research outputs have often appeared in sources such as Zenodo (CERN European Organization for Nuclear Research), Journal of Hydrology, Advances in Water Resources, The Science of The Total Environment, and Water Resources Research.

Best Publications

  • A copula-based joint deficit index for droughts.

    Shih-Chieh Kao;Rao S. Govindaraju

  • Integrated numerical modeling for basin-wide water management: The case of the Rattlesnake Creek basin in south-central Kansas

    M.A Sophocleous;J.K Koelliker;R.S Govindaraju;T Birdie

  • Prediction of watershed runoff using Bayesian concepts and modular neural networks

    Bin Zhang;Rao S. Govindaraju

  • Cost‐effective allocation of watershed management practices using a genetic algorithm

    Mazdak Arabi;Rao S. Govindaraju;Mohamed M. Hantush

  • Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas

    Shih-Chieh Kao;Rao S. Govindaraju

  • Trends and variability of droughts over the Indian monsoon region

    Ganeshchandra Mallya;Vimal Mishra;Dev Niyogi;Shivam Mani Tripathi

  • A probabilistic approach for analysis of uncertainty in the evaluation of watershed management practices

    Mazdak Arabi;Rao S. Govindaraju;Mohamed M. Hantush

  • Role of Watershed Subdivision on Modeling the Effectiveness of Best Management Practices With Swat

    Mazdak Arabi;Rao S. Govindaraju;Mohamed M. Hantush;Bernard A. Engel

  • Observational evidence that agricultural intensification and land use change may be reducing the Indian summer monsoon rainfall

    Dev Niyogi;Chandra Kishtawal;Shivam Tripathi;Rao S. Govindaraju

  • A bivariate frequency analysis of extreme rainfall with implications for design

    Shih-Chieh Kao;Rao S. Govindaraju

  • Spatial averaging of unsaturated flow equations under infiltration conditions over areally heterogeneous fields: 1. Development of models

    ZhiQiang Chen;Rao S. Govindaraju;M. Levent Kavvas

  • 2012 Midwest Drought in the United States

    G. Mallya;L. Zhao;X. C. Song;D. Niyogi

  • Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering

    V.V. Srinivas;Shivam Tripathi;Shivam Tripathi;A. Ramachandra Rao;Rao S. Govindaraju

  • Applicability of St. Venant Equations for Two‐Dimensional Overland Flows over Rough Infiltrating Surfaces

    Gokmen Tayfur;M. Levent Kavvas;Rao S. Govindaraju;Daniel E. Storm

  • COMPARISON OF ANNS AND EMPIRICAL APPROACHES FOR PREDICTING WATERSHED RUNOFF

    Jagadeesh Anmala;Bin Zhang;Rao S. Govindaraju

  • Geomorphology-based artificial neural networks (GANNs) for estimation of direct runoff over watersheds

    Bin Zhang;Rao S. Govindaraju

  • Role of slope on infiltration: A review

    Renato Morbidelli;Carla Saltalippi;Alessia Flammini;Rao S. Govindaraju

  • Effect of geomorphologic resolution on modeling of runoff hydrograph and sedimentograph over small watersheds

    Latif Kalin;Latif Kalin;Rao S. Govindaraju;Mohamed M. Hantush

  • Evaluation of Phytoremediation for Field-Scale Degradation of Total Petroleum Hydrocarbons

    K. V. Nedunuri;R. S. Govindaraju;Margaret Katherine Banks;A. P. Schwab

  • Spatial averaging of unsaturated flow equations under infiltration conditions over areally heterogeneous fields 2. Numerical simulations

    ZhiQiang Chen;Rao S. Govindaraju;M. Levent Kavvas

  • Introduction to Hydrology

    Jose D. Salas;Rao S. Govindaraju;Michael Anderson;Mazdak Arabi

Frequent Co-Authors

Renato Morbidelli
Renato Morbidelli University of Perugia
Mazdak Arabi
Mazdak Arabi Colorado State University
Dev Niyogi
Dev Niyogi The University of Texas at Austin
A. P. Schwab
A. P. Schwab Texas A&M University
Bernard A. Engel
Bernard A. Engel Purdue University West Lafayette
Indrajeet Chaubey
Indrajeet Chaubey University of Connecticut
Marios Sophocleous
Marios Sophocleous University of Kansas
Marc B. Parlange
Marc B. Parlange University of Rhode Island
David Lockington
David Lockington University of Queensland
Timothy R. Green
Timothy R. Green Agricultural Research Service

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