完整後設資料紀錄
DC 欄位語言
dc.contributor.authorTsai, Jui-Pinen_US
dc.contributor.authorChen, Yu-Wenen_US
dc.contributor.authorChang, Liang-Chengen_US
dc.contributor.authorChen, Wen-Fuen_US
dc.contributor.authorChiang, Chung-Jungen_US
dc.contributor.authorChen, You-Chengen_US
dc.date.accessioned2015-07-21T08:29:10Z-
dc.date.available2015-07-21T08:29:10Z-
dc.date.issued2015-03-01en_US
dc.identifier.issn1436-3240en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s00477-014-0941-0en_US
dc.identifier.urihttp://hdl.handle.net/11536/124317-
dc.description.abstractIdentifying high groundwater recharge areas is important for the conservation of groundwater quality and quantity. A common practice used by previous studies is to estimate groundwater recharge potential (GRP) using recharge potential analysis (RPA) under different environments. These studies use the estimated GRP to identify the high potential groundwater recharge sites. However, the RPA parameters are subjectively defined for these previous studies. To remove the supposition, this study proposes a systematic approach that defines the RPA parameter values based on the theory of parameter identification. This study uses dissolved oxygen (DO) indicators to calibrate the RPA parameters. This calibration improves the correlation coefficient between the DO indicators and computed GRP values from 0.63 to 0.87. By comparing the initial values, these results indicate that the estimated RPA parameters better represent the field infiltration characteristic. This result also indicates that defining the RPA parameter values based on DO indicators is necessary and important for accuracy. These calibrated parameters are used to estimate the GRP distribution of Taiwan\'s Pingtung Plain. The GRP values are delineated into five levels. High and excellent GRP areas are defined as high recharge areas, which compose about 26.74 % of the study area. Based on the proposed method, the estimated GRP distribution can accurately represent the study area\'s field recharge characteristics. These study results can be a good reference for groundwater recharge analyses, specifically if well data is limited or difficult to obtain.en_US
dc.language.isoen_USen_US
dc.subjectHigh groundwater recharge areasen_US
dc.subjectGroundwater recharge potentialen_US
dc.subjectDissolved oxygenen_US
dc.subjectDynamically dimensioned searchen_US
dc.subjectGeographical information systemen_US
dc.titleThe assessment of high recharge areas using DO indicators and recharge potential analysis: a case study of Taiwan\'s Pingtung plainen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00477-014-0941-0en_US
dc.identifier.journalSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENTen_US
dc.citation.volume29en_US
dc.citation.spage815en_US
dc.citation.epage832en_US
dc.contributor.department土木工程學系zh_TW
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.identifier.wosnumberWOS:000348930500016en_US
dc.citation.woscount0en_US
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