Deep learning for spatiotemporal forecasting in earth system science: A review
Deep learning (DL) has demonstrated strong potential in addressing key challenges in
spatiotemporal forecasting across various Earth system science (ESS) domains. This review …
spatiotemporal forecasting across various Earth system science (ESS) domains. This review …
[HTML][HTML] A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges
MM Monir, SC Sarker, ARMT Islam - HydroResearch, 2024 - Elsevier
The present study aims to thoroughly review GWL depletion monitoring studies completed
between 2000 and 2023 based on data-driven models and GIS approaches from a global …
between 2000 and 2023 based on data-driven models and GIS approaches from a global …
Monitoring methodology study of a reservoir built on the karst depression: a large scale laboratory simulation test
J Wu, S Chen, K Zheng, L Tian, S Tai, Y Huang, J Li… - ACS …, 2023 - ACS Publications
The karst depression with a natural negative landform is favorable for reservoir construction
with less excavation work. The underground air–water pressure would be complicated after …
with less excavation work. The underground air–water pressure would be complicated after …
Investigating Factors Influencing Groundwater in the Upper Yamuna Basin, India: A Geospatial Analysis
R Dutta, M Punia, S Pramanik - Water Resource Management in Climate …, 2024 - Springer
Groundwater is one of the most precious resources, as it is a significant component in
securing multiple sustainable development goals (ie food security and livelihood …
securing multiple sustainable development goals (ie food security and livelihood …