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Revolutionizing groundwater management with hybrid AI models: A practical review
Develo** precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …
Artificial intelligence-driven assessment of salt caverns for underground hydrogen storage in Poland
This study explores the feasibility of utilizing bedded salt deposits as sites for underground
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …
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 …
Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India
Groundwater is a crucial natural resource for providing reliable and long-lasting water
supplies across the globe. The integrated approach used in the current study involved the …
supplies across the globe. The integrated approach used in the current study involved the …
Machine learning-based assessment of watershed morphometry in Makran
This study proposes an artificial intelligence approach to assess watershed morphometry in
the Makran subduction zones of South Iran and Pakistan. The approach integrates machine …
the Makran subduction zones of South Iran and Pakistan. The approach integrates machine …
Mitigating development barriers and addressing disparities in border cities of Iran: a comprehensive analysis of border provinces and influential factors
This study addresses the persistent challenge of development disparities in Iran's border
regions. Despite the nation's commitment to reducing the development gap between its …
regions. Despite the nation's commitment to reducing the development gap between its …
Pedestrian road traffic accidents in metropolitan areas: GIS-based prediction modelling of cases in Mashhad, Iran
This study utilised multi-year data from 5354 incidents to predict pedestrian–road traffic
accidents (PTAs) based on twelve socioeconomic and built-environment factors. The …
accidents (PTAs) based on twelve socioeconomic and built-environment factors. The …
[HTML][HTML] Addressing nitrate contamination in groundwater: The importance of spatial and temporal understandings and interpolation methods
Iranian water security is threatened by groundwater (GW) degradation. The excessive use of
GW for agriculture in Iran is degrading these resources. Livestock waste disposal and …
GW for agriculture in Iran is degrading these resources. Livestock waste disposal and …
Evaluation of karst aquifer development and karst water resource potential using fuzzy logic model (FAHP) and analysis hierarchy process (AHP): A case study, North …
This research addresses the severe water shortage in Iran, focusing on the Hashtgerd
watershed, through the innovative use of remote sensing and sophisticated modeling …
watershed, through the innovative use of remote sensing and sophisticated modeling …
Spatial modelling to identify high-risk zones for the transmission of cutaneous leishmaniasis in hyperendemic urban environments: A case study of Mashhad, Iran
A Mohammadi, DH Hamer, E Pishagar, R Bergquist - Health & Place, 2025 - Elsevier
Spatial modelling was employed to identify high-risk zones for the transmission of cutaneous
leishmaniasis in hyperendemic urban environments, focusing on Mashhad, Iran. Data …
leishmaniasis in hyperendemic urban environments, focusing on Mashhad, Iran. Data …