Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia-Reference-Cited by-同舟云学术

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Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia

Published:2022-07-03 Issue:26 Volume:37 Page:14495-14527
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Mallick Javed¹,Almesfer Mohammed K.²^ORCID,Alsubih Majed³,Talukdar Swapan¹,Ahmed Mohd¹,Ben Kahla Nabil¹

Affiliation:

1. Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

2. Department of Geography, Faculty of Natural Science Jamia Millia Islamia, New Delhi, India

3. Department of Chemical Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

Funder

Ministry of Education in Saudi Arabia

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2088861

Reference125 articles.

1. K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling

2. Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran

3. Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping

4. Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping

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1. Future groundwater potential mapping using machine learning algorithms and climate change scenarios in Bangladesh;Scientific Reports;2024-05-06

2. Urban aquifer health assessment and its management for sustainable water supply: an innovative approach using machine learning techniques;Groundwater for Sustainable Development;2024-05

3. GIS based multi-criteria decision making to identify regional groundwater potential zones: a critical review;Sustainable Water Resources Management;2024-02-28

4. Sustainable Groundwater Recharge Potential Zone Identification: An AHP-OWA Approach Integrating Future Rainfall and Land-Use Projections;Water Resources Management;2023-12-27

5. Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review;Water;2023-05-02

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