Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India

S Saravanan, D Abijith, NM Reddy, KSS Parthasarathy… - Urban Climate, 2023 - Elsevier
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …

[HTML][HTML] 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 …

[HTML][HTML] Fusion of remote sensing data using GIS-based AHP-weighted overlay techniques for groundwater sustainability in arid regions

M Abdekareem, N Al-Arifi, F Abdalla, A Mansour… - Sustainability, 2022 - mdpi.com
Remote sensing and GIS approaches have provided valuable information on modeling
water resources, particularly in arid regions. The Sahara of North Africa, which is one of the …

[HTML][HTML] Delineation of groundwater potential zones for Arkavathi sub-watershed, Karnataka, India using remote sensing and GIS

S Saravanan, T Saranya, D Abijith, JJ Jacinth… - Environmental …, 2021 - Elsevier
Decline in groundwater level in recent years is the serious threat that needs attention. To
address this an effective management approach is required. Highlighting the groundwater …

A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran

O Asadi Nalivan, SA Mousavi Tayebi… - … Research and Risk …, 2023 - Springer
The importance of groundwater potential mapping (GWPM) is eminent for the proper
management of underpinning resources. This research applies artificial intelligence-based …

Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine …

HD Nguyen, DK Dang, QH Nguyen, QT Bui… - Geocarto …, 2022 - Taylor & Francis
The crucial importance of land cover and use changes and climate changes for worldwide
sustainability results from their negative effects on flood risk. In a watershed, a particularly …

[HTML][HTML] Mapping potential water resource areas using gis-based frequency ratio and evidential belief function

Y Li, M Abdelkareem, N Al-Arifi - Water, 2023 - mdpi.com
Groundwater is a critical freshwater resource that is necessary for sustaining life. Thus,
targeting prospective groundwater zones is crucial for the extraction, use, and management …

Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran

S Yousefi, M Avand, P Yariyan, HJ Goujani… - Ecological …, 2021 - Elsevier
Choosing Selecting suitable sites for afforestation is a complex process that is influenced by
various factors that require the use of new models and methods in order to create better …

[HTML][HTML] Mapping prospective areas of water resources and monitoring land use/land cover changes in an arid region using remote sensing and GIS techniques

T Sun, W Cheng, M Abdelkareem, N Al-Arifi - Water, 2022 - mdpi.com
Groundwater is a vital water resource for economic, agricultural, and domestic purposes in
arid regions. To reduce water scarcity in arid regions, recently, remote sensing and GIS …

Delineation of groundwater potential zones using GIS and AHP techniques in Coimbatore district, South India

KP Kom, B Gurugnanam, V Sunitha - International Journal of Energy and …, 2024 - Springer
The study aims to demarcate groundwater potential zones in the Coimbatore district of South
India using geographic information system (GIS), remote sensing (RS), and multi-criteria …