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[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …
resources especially groundwater. Recent studies have reported significant impact of …
[HTML][HTML] Map** of groundwater potential zones in a drought prone Marathwada Region using frequency ratio and statistical index methods, India
Groundwater potential investigation is one of the most significant and crucial aspects in arid
and semi-arid regions like Marathwada. Marathwada is often susceptible to water scarcity …
and semi-arid regions like Marathwada. Marathwada is often susceptible to water scarcity …
Using artificial intelligence to identify suitable artificial groundwater recharge areas for the Iranshahr basin
A water supply is vital for preserving usual human living standards, industrial development,
and agricultural growth. Scarce water supplies and unplanned urbanization are the primary …
and agricultural growth. Scarce water supplies and unplanned urbanization are the primary …
Application of bagging and boosting ensemble machine learning techniques for groundwater potential map** in a drought-prone agriculture region of eastern India
Groundwater is a primary source of drinking water for billions worldwide. It plays a crucial
role in irrigation, domestic, and industrial uses, and significantly contributes to drought …
role in irrigation, domestic, and industrial uses, and significantly contributes to drought …
Integrating in-situ data and spatial decision support systems (SDSS) to identify groundwater potential sites in the Esan plateau, Nigeria
Establishing suitable groundwater resource areas is a challenging endeavour across the
globe. However, novel spatial technologies have emerged as valuable tools for the effective …
globe. However, novel spatial technologies have emerged as valuable tools for the effective …
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
Riverbank erosion is one of the most catastrophic hazards that renders floodplains
vulnerable across the world vulnerable. It creates a significant negative impact on the …
vulnerable across the world vulnerable. It creates a significant negative impact on the …
Identification of groundwater potential zones for sustainable groundwater resource management using an integrated approach in Sirkole watershed, Western Ethiopia
The increasing population in the Sirkole watershed has led to a higher demand for
groundwater resources essential for socio-economic development. To ensure sustainable …
groundwater resources essential for socio-economic development. To ensure sustainable …
Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India
Groundwater is under stress due to the growth of population, urbanization and
industrialization, especially in develo** countries. Consequently, there is a shortage of …
industrialization, especially in develo** countries. Consequently, there is a shortage of …
Groundwater drought risk assessment in the semi-arid Kansai river basin, West Bengal, India using SWAT and machine learning models
Increasing concerns over groundwater drought risks, which threaten water availability and
adversely impact ecosystems, agriculture, and human activities, underscore the necessity of …
adversely impact ecosystems, agriculture, and human activities, underscore the necessity of …
Delineation of groundwater vulnerable zone for sustainable development in the southwestern part of Bihar, India
In the face of the global groundwater crisis and climate change challenges, the groundwater
potential (GWP) and quality (GWQ) assessment for tackling the depletion and contamination …
potential (GWP) and quality (GWQ) assessment for tackling the depletion and contamination …