Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review

A Bamal, MG Uddin, AI Olbert - Heliyon, 2024 - cell.com
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

Using artificial intelligence to identify suitable artificial groundwater recharge areas for the Iranshahr basin

M Zaresefat, R Derakhshani, V Nikpeyman… - Water, 2023 - mdpi.com
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 …

Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms

N Bhuyan, H Sajjad, TK Saha, Y Sharma, M Masroor… - Catena, 2024 - Elsevier
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 …

Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India

R Ali, H Sajjad, TK Saha, Roshani, M Masroor… - Acta Geophysica, 2024 - Springer
Groundwater is under stress due to the growth of population, urbanization and
industrialization, especially in developing countries. Consequently, there is a shortage of …

Groundwater potential delineation using geodetector based convolutional neural network in the Gunabay watershed of Ethiopia

AM Tegegne, TK Lohani, AA Eshete - Environmental Research, 2024 - Elsevier
Groundwater potential delineation is essential for efficient water resource utilization and
long-term development. The scarcity of potable and irrigation water has become a critical …

Integrating in-situ data and spatial decision support systems (SDSS) to identify groundwater potential sites in the Esan plateau, Nigeria

KO Ozegin, SO Ilugbo, OM Alile, K Iluore - Groundwater for Sustainable …, 2024 - Elsevier
Establishing suitable groundwater resource areas is a challenging endeavour across the
globe. However, novel spatial technologies have emerged as valuable tools for the effective …

[HTML][HTML] Mapping of groundwater potential zones in a drought prone Marathwada Region using frequency ratio and statistical index methods, India

U Pawar, W Suppawimut, U Rathnayake - Results in Engineering, 2024 - Elsevier
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 …

Identification of groundwater potential zones for sustainable groundwater resource management using an integrated approach in Sirkole watershed, Western Ethiopia

W Yadeta, S Karuppannan, D Diriba… - Groundwater for …, 2024 - Elsevier
The increasing population in the Sirkole watershed has led to a higher demand for
groundwater resources essential for socio-economic development. To ensure sustainable …

Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region …

A Jari, EM Bachaoui, S Hajaj, A Khaddari… - Frontiers in …, 2023 - frontiersin.org
Groundwater resource management in arid regions has a critical importance for sustaining
human activities and ecological systems. Accurate mapping of groundwater potential plays a …

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

K Halder, AK Srivastava, A Ghosh, R Nabik… - Environmental Sciences …, 2024 - Springer
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 …