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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/22106
DC FieldValueLanguage
dc.contributor.authorChen, Nai-Chinen_US
dc.contributor.authorWen, Hui-Yuen_US
dc.contributor.authorLi, Feng-Meien_US
dc.contributor.authorHsu, Shih-Mengen_US
dc.contributor.authorKe, Chien-Chungen_US
dc.contributor.authorLin, Yen-Tsuen_US
dc.contributor.authorHuang, Chi-Chaoen_US
dc.date.accessioned2022-08-17T05:33:07Z-
dc.date.available2022-08-17T05:33:07Z-
dc.date.issued2022-07-
dc.identifier.issn2076-3417-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/22106-
dc.description.abstractFeatured Application Investigating the spatial and temporal dynamic behavior of groundwater level fluctuation in mountainous areas using the proposed approach can assist in obtaining effective strategies for developing and managing groundwater resources. The analysis of the spatiotemporal characteristics of groundwater level variation is a prerequisite for evaluating groundwater potential or underpinning aquifer sustainability development in hydrogeological engineering practices. This study explores the dominant influencing factors that control groundwater dynamics and develops an estimation of groundwater level fluctuation (GWLF) potential in the complex aquifer systems of mountainous areas. Eight natural environmental factors, including slope, drainage density, land use, lithology, hydraulic conductivity, porosity, groundwater depth, and regolith thickness, have been selected as influencing factors, and the feature scores for different factors associated with GWLF potential were given with the expert scoring method. The weighting coefficients of individual influencing factors for wet/dry seasons were determined using the pseudo-inverse method based on the groundwater level data of 18 well stations observed from 1 November 2011 to 31 October 2019 in Taiwan mountainous areas. The results show that the weighting coefficients of these factors in controlling GWLF potential are variable and affected by seasonal and annual rainfall conditions. Based on the determined weighting coefficients, the spatial distribution of GWLF potential can be effectively produced. Finally, the simulated GWLF potential results were verified by comparing the observed data. The verification result demonstrates that the developed model can predict the spatial GWLF distribution based on the groundwater level data from a few wells.en_US
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.relation.ispartofAPPL SCI-BASELen_US
dc.subjectWATER-TABLE FLUCTUATIONSen_US
dc.subjectGIS TECHNIQUESen_US
dc.subjectZONESen_US
dc.subjectDISTRICTen_US
dc.subjectEVAPOTRANSPIRATIONen_US
dc.subjectIDENTIFICATIONen_US
dc.subjectDYNAMICSen_US
dc.subjectPARTen_US
dc.titleInvestigation and Estimation of Groundwater Level Fluctuation Potential: A Case Study in the Pei-Kang River Basin and Chou-Shui River Basin of the Taiwan Mountainous Regionen_US
dc.typejournal articleen_US
dc.identifier.doi10.3390/app12147060-
dc.identifier.isiWOS:000833291000001-
dc.relation.journalvolume12en_US
dc.relation.journalissue14en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
crisitem.author.deptCollege of Engineering-
crisitem.author.deptDepartment of Harbor and River Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.orcid0000-0001-5283-6393-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Engineering-
Appears in Collections:河海工程學系
06 CLEAN WATER & SANITATION
15 LIFE ON LAND
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