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Earth Science

D-Index
49
Citations
9655
World Ranking
3570
National Ranking
14

Overview

Madan K. Jha is affiliated with the Indian Institute of Technology Kharagpur in India. Their research primarily focuses on environmental science, with significant contributions to subfields such as global and planetary change, water science and technology, environmental engineering, oncology, and soil science.

Their work encompasses a range of topics including hydrology and watershed management studies, groundwater and watershed analysis, flood risk assessment and management, groundwater and isotope geochemistry, hydrology and drought analysis, irrigation practices and water management, and water resources management and optimization.

Recent publications by Madan K. Jha include:

  • Assessing groundwater quality for drinking water supply using hybrid fuzzy-GIS-based water quality index (2020, Water Research)
  • Observed rainfall changes in the past century (1901-2019) over the wettest place on Earth (2020, Environmental Research Letters)
  • Identification of critical areas and evaluation of best management practices using SWAT for sustainable watershed management (2020, The Science of The Total Environment)
  • Neural network modeling for groundwater-level forecasting in coastal aquifers (2020, Neural Computing and Applications)
  • Efficacy of machine learning techniques in predicting groundwater fluctuations in agro-ecological zones of India (2021, The Science of The Total Environment)

They have collaborated frequently with several researchers, including Thendiyath Roshni, Laishram Kanta Singh, Sabinaya Biswal, Dillip Kumar Swain, and V. M. Chowdary.

The venues where Madan K. Jha has published multiple works include the British Journal of Surgery, Environment Development and Sustainability, Water Resources Research, Environmental Monitoring and Assessment, and Sustainability.

Best Publications

  • Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

    Madan K. Jha;Alivia Chowdhury;V. M. Chowdary;Stefan Peiffer

  • Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques

    Deepesh Machiwal;Madan K. Jha;Bimal C. Mal

  • Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques

    Alivia Chowdhury;Madan K. Jha;V. M. Chowdary

  • Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques

    Madan K. Jha;V. M. Chowdary;Alivia Chowdhury

  • Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur district, West Bengal, India

    A. Chowdhury;M. K. Jha;V. M. Chowdary;B. C. Mal

  • Hydrologic Time Series Analysis: Theory and Practice

    Deepesh Machiwal;Madan Kumar Jha

  • Assessment and mapping of groundwater vulnerability to pollution: Current status and challenges

    Deepesh Machiwal;Madan Kumar Jha;Vijay P. Singh;Chinchu Mohan

  • Assessing groundwater quality for drinking water supply using hybrid fuzzy-GIS-based water quality index

    Madan Kumar Jha;Ankit Shekhar;M. Annie Jenifer

  • Multi-criteria analysis and GIS modeling for identifying prospective water harvesting and artificial recharge sites for sustainable water supply

    Laishram Kanta Singh;Madan K. Jha;V.M. Chowdary

  • Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India

    Sheelabhadra Mohanty;Madan K. Jha;Ashwani Kumar;K. P. Sudheer

  • Identifying sources of groundwater contamination in a hard-rock aquifer system using multivariate statistical analyses and GIS-based geostatistical modeling techniques

    Deepesh Machiwal;Madan K. Jha

  • Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment

    Sasmita Sahoo;Madan K. Jha

  • Design and technology for greenhouse cooling in tropical and subtropical regions: A review

    K.S. Kumar;K.N. Tiwari;Madan K. Jha

  • Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis

    Madan K. Jha;V.M. Chowdary;Y. Kulkarni;B.C. Mal

  • Assessing the accuracy of GIS-based Multi-Criteria Decision Analysis approaches for mapping groundwater potential

    Laishram Kanta Singh;Madan K. Jha;V.M. Chowdary

  • Evaluation of HEC-HMS and WEPP for simulating watershed runoff using remote sensing and geographical information system

    Arbind K. Verma;Madan K. Jha;Rajesh K. Mahana

  • Comparative evaluation of numerical model and artificial neural network for simulating groundwater flow in Kathajodi–Surua Inter-basin of Odisha, India

    S. Mohanty;Madan K. Jha;Ashwani Kumar;D.K. Panda

  • Development and analysis of the Soil Water Infiltration Global database

    Mehdi Rahmati;Mehdi Rahmati;Lutz Weihermüller;Jan Vanderborght;Yakov A. Pachepsky

  • SIMULATION MODELING FOR EFFICIENT GROUNDWATER MANAGEMENT IN BALASORE COASTAL BASIN, INDIA

    R. Rejani;Madan K. Jha;S. N. Panda;R. Mull

  • Comparison of Analytic Hierarchy Process, Catastrophe and Entropy techniques for evaluating groundwater prospect of hard-rock aquifer systems

    M. Annie Jenifer;Madan K. Jha

  • Modelling infiltration and quantifying spatial soil variability in a wasteland of Kharagpur, India

    Deepesh Machiwal;Madan K. Jha;B.C. Mal

Frequent Co-Authors

Sudhindra N. Panda
Sudhindra N. Panda C.V. Raman Global University
Stefan Peiffer
Stefan Peiffer University of Bayreuth
Jesús Rodrigo-Comino
Jesús Rodrigo-Comino University of Granada
Saskia Keesstra
Saskia Keesstra Wageningen University & Research
K. P. Sudheer
K. P. Sudheer Indian Institute of Technology Madras
Peter A. Stott
Peter A. Stott Met Office
Wim Cornelis
Wim Cornelis Ghent University
Mark A. Liebig
Mark A. Liebig Agricultural Research Service
Stephan Peth
Stephan Peth University of Hannover
Brent Clothier
Brent Clothier Plant & Food Research

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