教師資料查詢 | 類別: 期刊論文 | 教師: 康世芳 Kang Shyh-fang (瀏覽個人網頁)

標題:Predicting the Long-Term Performance of a Structural Best Management Practice with the BMP ToolBox Model
學年98
學期1
出版(發表)日期2010/01/01
作品名稱Predicting the Long-Term Performance of a Structural Best Management Practice with the BMP ToolBox Model
作品名稱(其他語言)
著者Chen, Chi-feng; Lin, Jen-yang; Kang, Shyh-fang; Lee, Yan-jen; Yang, Chung-hsun
單位淡江大學水資源及環境工程學系
出版者New Rochelle: Mary Ann Liebert, Inc.
著錄名稱、卷期、頁數Environmental Engineering Science 27(1), pp.55-64
摘要It is costly to constantly sample to monitor the performance of a structural best management practice (BMP). Alternatively, occasional sampling might not be adequate. The BMP ToolBox model, developed by Tetra Tech and Prince George's County in Maryland, USA, assesses the performance of a structural BMP treatment site. The study applied the BMP ToolBox model to a BMP site in Taiwan to test its validity. The case study site was designed to remove pollution from nonpoint sources (tea gardens) in order to maintain water quality in the Feitsui Reservoir. The BMP ToolBox model was calibrated and verified using two years of sample data. Results were satisfactory with the coefficient of determination (R2) for calibration and verification being 0.87 and 0.8, respectively. Furthermore, the one-factor-at-a-time method (OFAT) was applied in a sensitivity analysis to identify sensitive model parameters. Several hydrographs were created to predict BMP performance. The positive relationship between the total phosphorus (TP) removal rate and the recurrence interval was observed: rainfall with longer durations showed increased removal rates compared to shorter periods of rainfall. The BMP Toolbox model was successfully applied, and a process for evaluating the long-term operation of structural BMP sites was established.
關鍵字structural BMP; pollution removal evaluation; BMP ToolBox
語言英文
ISSN1092-8758; 1557-9018
期刊性質國外
收錄於SCI
產學合作
通訊作者Lin, Jen-yang
審稿制度
國別
公開徵稿
出版型式紙本
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