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SWMM-LID 모듈의 식생저류지 수질 모의 성능 개선 원문보기
Improvement of SWMM-LID module for water quaility modeling of bioretention

  • 저자

    백종락

  • 학위수여기관

    高麗大學校 大學院

  • 학위구분

    국내석사

  • 학과

    環境技術ㆍ政策協同

  • 지도교수

    尹在英

  • 발행년도

    2014

  • 총페이지

    ix, 79장

  • 키워드

    SWMM-LID Improvement Water quality;

  • 언어

    kor

  • 원문 URL

    http://www.riss.kr/link?id=T13541928&outLink=K  

  • 초록

    Low Impact Development (LID) is an innovative stormwater management approach with a basic principle that is modeled after nature. For effective application of this technique, applicability evaluation studies are being performed using stormwater runoff analysis models. However, most of the studies using modeling of LID techniques focus on hydrologic analysis while assessment of nonpoint source reduction becomes inadequate. In particular, bioretention which is designed to improve the removal efficiency of dissolved pollutants should consider not only physical mechanisms such as filtration, storage, etc., but also chemical and biological mechanisms thereby resulting to difficulty to achieve accurate simulations. In this thesis, improvement of the applicability of SWMM for bioretention modelling was studied. Two bioretention facilities were chosen from the International Stormwater BMP Database namely, Graham H.S. Bioretention and Rocky Mount Grassed Cell. The bioretention facilities' design data were obtained from the preceding study and observed data for the watershed such as precipitation, runoff, and pollutants (TN, TP) concentration were obtained from the International BMP Database. Performance statistics used to examine the applicability of the model were the Nash Sutcliffe Coefficient (NSE) and %Diff. After initial assessment of SWMM-LID's applicability, the first order decay equation which is used in the WETLAND and PREWET model simulated for wetland, MUSIC's empirical equation which considers complex removal mechanisms in bioretention, and SWMM's mechanism which uses BMP removal efficiency were used to improve the results of the SWMM-LID module. Results of their simulation were compared to observed data to determine the model with the highest performance statistics. The results of inflow and outflow predictions were found 'very good'. However, effluent pollutant loading simulation results of both sites were unacceptable. Because the SWMM-LID module only considers the infiltration, evaporation, and storage of runoff and does not consider pollutant removal mechanisms, the impact on loading is only affected by flow but not by other mechanisms such as plant uptake. Alternatively, applying other equations for pollutant removal mechanisms to the simulation results showed that the MUSIC's empirical equation has best performance in simulating TN and TP. The results of this study are based on data from separate events but it is thought that using hourly monitoring data can further improve the evaluation of bioretention performance. Furthermore, through the addition of contaminant removal mechanism in the SWMM-LID module, it is expected to provide more accurate and reliable results that can help in making watershed management plans.


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