Global review of groundwater potential models in the last decade: Parameters, model techniques, and validation
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference189 articles.
1. A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia;Abd Manap;Arab. J. Geosci.,2013
2. Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS;Abd Manap;Arab. J. Geosci.,2014
3. Mapping of groundwater prospective zones using remote sensing and GIS techniques: A case study from the Central Eastern Desert, Egypt;Abdalla;J. Afr. Earth Sci.,2012
4. GIS-based multi-criteria analysis for identification of potential groundwater recharge zones-a case study from Ponnaniyaru watershed, Tamil Nadu, India;Abijith;HydroResearch,2020
5. Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool–a case of predicting potential zones of sustainable groundwater resources;Adiat;J. Hydrol.,2012
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models;Journal of Cleaner Production;2024-02
2. Active learning-based random forest algorithm used for soil texture classification mapping in Central Vietnam;CATENA;2024-01
3. Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region, Morocco;Frontiers in Water;2023-12-13
4. Spatial predictions of groundwater potential using automated machine learning (AutoML): a comparative study of feature selection and training sample size in Qinghai Province, China;Environmental Science and Pollution Research;2023-12-01
5. Spatial prediction of groundwater potential by various novel boosting-based ensemble learning models in mountainous areas;Geocarto International;2023-11-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3