Improving aquifer vulnerability assessment and its explainability in the Zanjan aquifer: Integrating DRASTIC model and optimized long short-term memory-based metaheuristic algorithms

Groundwater vulnerability assessment involves the evaluation of the potential contamination risk in specific areas. This study aims to enhance the original DRASTIC model by incorporating three methods to improve its accuracy and reliability in identifying vulnerable groundwater regions (to nitrate)...

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Autores principales:	Mojgan Bordbar, Khabat Khosravi, Changhyun Jun, Dongkyun Kim, Sayed M Bateni, Mahmood Safarzadeh, Hamid Kardan Moghaddam, Shohreh Azizi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-06-01
Colección:	Results in Engineering
Materias:	Aquifer vulnerability DRASTIC Nitrate LSTM Equilibrium optimizer Zanjan aquifer
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2590123025007510
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