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Environmental Sciences
India
2023

D-Index & Metrics

Environmental Sciences

D-Index
64
Citations
12653
World Ranking
2363
National Ranking
14

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in India Leader Award
  • 2022 - Research.com Environmental Sciences in India Leader Award

Overview

Bellie Sivakumar is affiliated with the Indian Institute of Technology Bombay in India and specializes in environmental science with a research focus on hydrology and related subfields. Their work spans across several interconnected domains including global and planetary change, water science and technology, environmental engineering, atmospheric science, and artificial intelligence applications in environmental contexts.

The scientist's recent research includes the following papers:

  • Forecasting of water level in multiple temperate lakes using machine learning models, 2020, Journal of Hydrology
  • The role of climate change and vegetation greening on evapotranspiration variation in the Yellow River Basin, China, 2022, Agricultural and Forest Meteorology
  • Forecasting surface water temperature in lakes: A comparison of approaches, 2020, Journal of Hydrology
  • An intelligent internet of things-based secure healthcare framework using blockchain technology with an optimal deep learning model, 2021, The Journal of Supercomputing
  • Impacts of a large river-to-lake water diversion project on lacustrine phytoplankton communities, 2020, Journal of Hydrology

Their frequent coauthors include:

  • Yiping Wu
  • B. Deepthi
  • Yan-Fang Sang
  • Tiejian Li
  • Senlin Zhu

Bellie Sivakumar has published extensively in several journals and venues, with the most frequent including:

  • Stochastic Environmental Research and Risk Assessment (21 publications)
  • Journal of Hydrology (13 publications)
  • Atmospheric Research (3 publications)
  • Entropy (3 publications)
  • International Journal of Research in Agronomy (3 publications)

The main field of study for Bellie Sivakumar is environmental science, supported by 141 publications. The subfields covered include:

  • Global and Planetary Change (67 publications)
  • Water Science and Technology (30 publications)
  • Environmental Engineering (28 publications)
  • Atmospheric Science (18 publications)
  • Artificial Intelligence (10 publications)

Within these fields, the primary topics of work relate to hydrology and watershed management studies, climate variability and models, hydrological forecasting using AI, hydrology and drought analysis, flood risk assessment and management, meteorological phenomena and simulations, and hydrology and sediment transport processes:

  • Hydrology and Watershed Management Studies (56 publications)
  • Climate Variability and Models (50 publications)
  • Hydrological Forecasting Using AI (42 publications)
  • Hydrology and Drought Analysis (40 publications)
  • Flood Risk Assessment and Management (24 publications)
  • Meteorological Phenomena and Simulations (14 publications)
  • Hydrology and Sediment Transport Processes (12 publications)

Best Publications

  • Droughts in a warming climate: A global assessment of Standardized precipitation index (SPI) and Reconnaissance drought index (RDI)

    Mohammad Amin Asadi Zarch;Bellie Sivakumar;Bellie Sivakumar;Ashish Sharma

  • Chaos theory in hydrology: important issues and interpretations

    B Sivakumar

  • River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches

    B. Sivakumar;A.W. Jayawardena;T.M.K.G. Fernando

  • Chaos theory in geophysics: past, present and future

    B Sivakumar

  • Natural hazards in Australia: droughts

    Anthony S. Kiem;Fiona Johnson;Seth Westra;Albert van Dijk

  • Population, water, food, energy and dams

    Ji Chen;Haiyun Shi;Haiyun Shi;Bellie Sivakumar;Bellie Sivakumar;Mervyn R. Peart

  • Characterization and prediction of runoff dynamics: a nonlinear dynamical view

    M.N Islam;B Sivakumar

  • Neural network river forecasting through baseflow separation and binary-coded swarm optimization

    Riccardo Taormina;Kwok Wing Chau;Bellie Sivakumar;Bellie Sivakumar

  • Global climate change and its impacts on water resources planning and management: assessment and challenges

    Bellie Sivakumar;Bellie Sivakumar

  • The role of climate change and vegetation greening on evapotranspiration variation in the Yellow River Basin, China

    Unknown

  • Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach

    Renata Graf;Senlin Zhu;Bellie Sivakumar

  • Hydrologic system complexity and nonlinear dynamic concepts for a catchment classification framework

    B. Sivakumar;B. Sivakumar;V. P. Singh

  • Forecasting of water level in multiple temperate lakes using machine learning models

    Senlin Zhu;Bahrudin Hrnjica;Mariusz Ptak;Adam Choiński

  • Quantification of precipitation and temperature uncertainties simulated by CMIP3 and CMIP5 models

    F. M. Woldemeskel;A. Sharma;B. Sivakumar;B. Sivakumar;R. Mehrotra

  • Singapore Rainfall Behavior: Chaotic?

    Bellie Sivakumar;Shie-Yui Liong;Chih-Young Liaw;Kok-Kwang Phoon

  • A phase-space reconstruction approach to prediction of suspended sediment concentration in rivers

    B. Sivakumar

  • Anatomy of a local-scale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought study

    Ashok K. Mishra;Amor Valeriano M. Ines;Narendra N. Das;Prakash Khedun

  • A chaotic approach to rainfall disaggregation

    Bellie Sivakumar;Soroosh Sorooshian;Hoshin Vijai Gupta;Xiaogang Gao

  • Water crisis: From conflict to cooperation—an overview

    Bellie Sivakumar

  • A comparison of alternatives for daily to sub-daily rainfall disaggregation

    Alexander Pui;Ashish Sharma;Rajeshwar Mehrotra;Bellie Sivakumar;Bellie Sivakumar

  • Dominant processes concept, model simplification and classification framework in catchment hydrology

    Bellie Sivakumar

  • Evidence of chaos in the rainfall-runoff process

    Bellie Sivakumar;Ronny Berndtsson;Jonas Olsson;Kenji Jinno

  • Investigating chaos in river stage and discharge time series

    Rahman Khatibi;Bellie Sivakumar;Bellie Sivakumar;Mohammad Ali Ghorbani;Ozgur Kisi

Frequent Co-Authors

Ashish Sharma
Ashish Sharma University of New South Wales
Ronny Berndtsson
Ronny Berndtsson Lund University
Vijay P. Singh
Vijay P. Singh Texas A&M University
Wesley W. Wallender
Wesley W. Wallender University of California, Davis
Alex Sen Gupta
Alex Sen Gupta University of New South Wales
Thomas Harter
Thomas Harter University of California, Davis
Kok-Kwang Phoon
Kok-Kwang Phoon Singapore University of Technology and Design
Guangqian Wang
Guangqian Wang Tsinghua University
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Jeffrey P. Mitchell
Jeffrey P. Mitchell University of California, Davis

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