Revolutionizing groundwater management with hybrid AI models: A practical review

M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Develo** precise soft computing methods for groundwater management, which includes
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

R Derakhshani, L Lankof, A GhasemiNejad… - Scientific Reports, 2024 - nature.com
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 …

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 …

Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India

PR Shekar, A Mathew - Environmental Monitoring and Assessment, 2023 - Springer
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 …

Machine learning-based assessment of watershed morphometry in Makran

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

Mitigating development barriers and addressing disparities in border cities of Iran: a comprehensive analysis of border provinces and influential factors

MN Mousavi, K Jafarpour Ghalehteimouri… - GeoJournal, 2024 - Springer
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 …

Pedestrian road traffic accidents in metropolitan areas: GIS-based prediction modelling of cases in Mashhad, Iran

A Mohammadi, B Kiani, H Mahmoudzadeh… - Sustainability, 2023 - mdpi.com
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 …

[HTML][HTML] Addressing nitrate contamination in groundwater: The importance of spatial and temporal understandings and interpolation methods

M Zaresefat, S Hosseini, M Ahrari Roudi - Water, 2023 - mdpi.com
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 …

Evaluation of karst aquifer development and karst water resource potential using fuzzy logic model (FAHP) and analysis hierarchy process (AHP): A case study, North …

M Haghiri, N Raeisi, R Azizi, K Shabani… - Carbonates and …, 2024 - Springer
This research addresses the severe water shortage in Iran, focusing on the Hashtgerd
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 …