Groundwater plays a major role in human adaptation and ecological sustainability against climate variability by providing global water and food security. In the Indus-Ganges-Brahmaputra-Meghna aquifers (IGBM), groundwater abstraction has been reported to be one of the primary contributors to groundw...

Physical Sciences Earth and Planetary Sciences Geochemistry and Petrology

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Importance of spatial and depth-dependent drivers in groundwater level modeling through machine learning

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Pragnaditya Malakar, Abhijit Mukherjee, Soumendra N. Bhanja, Dipankar Saha et al.

Year: 2020Citations: 12

Abstract. The water and food security of South Asia is embedded in the groundwater resources of the transboundary aquifer system of Indus-Ganges-Brahmaputra-Meghna (IGBM) rivers, which has been subjected to diverse natural and anthropogenic triggers. Thus, understanding the relative importance of su...

Physical Sciences Environmental Science Environmental EngineeringOpen Access

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Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia

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Pragnaditya Malakar, Soumendra N. Bhanja, Adya Aiswarya Dash, Dipankar Saha et al.

Journal: ACS ES&T WaterYear: 2022Citations: 7

Groundwater depletion in South Asia’s Himalayan, transboundary Indus-Ganges-Brahmaputra-Meghna (IGBM) rivers basin is among the highest globally. Given the high irrigation demand and population, groundwater sustainability requires an improved understanding of groundwater systems for the accurate pre...

Physical Sciences Environmental Science Water Science and TechnologyOpen Access

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Supplementary material to &quot;Importance of spatial and depth-dependent drivers in groundwater level modeling through machine learning&quot;

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Pragnaditya Malakar, Abhijit Mukherjee, Soumendra N. Bhanja, Dipankar Saha et al.

Year: 2020

Physical Sciences Environmental Science Environmental EngineeringOpen Access

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Results for “"Pragnaditya Malakar"”

Machine-learning-based regional-scale groundwater level prediction using GRACE

Three decades of depth-dependent groundwater response to climate variability and human regime in the transboundary Indus-Ganges-Brahmaputra-Meghna mega river basin aquifers

Importance of spatial and depth-dependent drivers in groundwater level modeling through machine learning

Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia

Supplementary material to &amp;quot;Importance of spatial and depth-dependent drivers in groundwater level modeling through machine learning&amp;quot;

Supplementary material to "Importance of spatial and depth-dependent drivers in groundwater level modeling through machine learning"