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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Detaylı Bibliyografya
Asıl Yazarlar:	Mojgan Bordbar, Khabat Khosravi, Changhyun Jun, Dongkyun Kim, Sayed M Bateni, Mahmood Safarzadeh, Hamid Kardan Moghaddam, Shohreh Azizi
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Elsevier 2025-06-01
Seri Bilgileri:	Results in Engineering
Konular:	Aquifer vulnerability DRASTIC Nitrate LSTM Equilibrium optimizer Zanjan aquifer
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S2590123025007510
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Improving aquifer vulnerability assessment and its explainability in the Zanjan aquifer: Integrating DRASTIC model and optimized long short-term memory-based metaheuristic algorithms

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