[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
Assessment of soil heavy metal pollution and associated ecological risk of agriculture dominated mid-channel bars in a subtropical river basin
The elevated concentrations of heavy metals in soil considerably threaten ecological and
human health. To this end, the present study assesses metals pollution and its threat to …
human health. To this end, the present study assesses metals pollution and its threat to …
Groundwater level fluctuations and associated influencing factors in Rangpur District, Bangladesh, using modified Mann-Kendall and GIS-based AHP technique
Abstract Analysis of groundwater level fluctuations is critical to understanding groundwater
system dynamics and the factors that cause groundwater level fluctuations. Although most of …
system dynamics and the factors that cause groundwater level fluctuations. Although most of …
[HTML][HTML] A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges
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 …
Implications of rainfall variability on groundwater recharge and sustainable management in South Asian capitals: An in-depth analysis using Mann Kendall tests …
Groundwater resources, a critical component of hydrogeological systems, are under
increasing pressure due to climate change and anthropogenic activities. South Asia, a …
increasing pressure due to climate change and anthropogenic activities. South Asia, a …
Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization
T Jithendra, SS Basha - Earth Science Informatics, 2023 - Springer
The analysis of groundwater resources is extremely important to the cultivation of crops, our
daily lives, and sustainable growth. Thus, a precise and credible estimation of groundwater …
daily lives, and sustainable growth. Thus, a precise and credible estimation of groundwater …
A multi-layer nesting and integration approach for predicting groundwater levels in agriculturally intensive areas using data-driven models
F Zhu, Y Sun, T Hou, M Han, Y Zeng, O Zhu… - Journal of Hydrology, 2024 - Elsevier
Agricultural water demand, groundwater extraction, surface water delivery and climate
exhibit complex nonlinear relationships with groundwater storage in agricultural regions. As …
exhibit complex nonlinear relationships with groundwater storage in agricultural regions. As …
[HTML][HTML] Evaluating groundwater contamination: An examination of a municipal solid waste dump yard in southern India's Manchester City
Groundwater is a critical resource that is utilized for a variety of reasons, but over-extraction
can lead to a number of environmental and socioeconomic issues such as diminished water …
can lead to a number of environmental and socioeconomic issues such as diminished water …
Spatiotemporally non-stationary evolution of groundwater levels in Poyang Lake Basin driven by meteorological and hydrological factors
Y Liu, C Lu, B Qiu, J Wang, J Chen, Y Zhang… - Science of The Total …, 2024 - Elsevier
The complex relationship between wet-dry transition in the Poyang Lake basin and
groundwater storage significantly affects the lake's hydrology, downstream ecological state …
groundwater storage significantly affects the lake's hydrology, downstream ecological state …
[HTML][HTML] A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model
Groundwater level prediction is critical for environmental protection and agricultural
planning. Accurate predictions help manage risks associated with excessive groundwater …
planning. Accurate predictions help manage risks associated with excessive groundwater …