Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/29613
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    標題: The assessment of high recharge areas using DO indicators and recharge potential analysis: a case study of Taiwan's Pingtung plain
    作者: Tsai, Jui-Pin
    Chen, Yu-Wen
    Chang, Liang-Cheng
    Chen, Wen-Fu
    Chiang, Chung-Jung
    Chen, You-Cheng
    貢獻者: 觀光事業管理系(含溫泉產業碩士班)
    關鍵字: High groundwater recharge areas
    Groundwater recharge potential
    Dissolved oxygen
    Dynamically dimensioned search
    Geographical information system
    日期: 2015-03
    上傳時間: 2016-04-19 19:02:03 (UTC+8)
    出版者: Springer
    摘要: Identifying 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.
    關聯: Stochastic Environmental Research And Risk Assessment, v.29 n.3, pp.815-832
    显示于类别:[觀光事業管理系(含溫泉所)] 期刊論文

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