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mprovement of Estimation Method of Load Capture Ratio for Design and Evaluation of Bio-retention LID Facility

생태저류지 LID 시설의 설계 및 평가를 위한 삭감대상부하비 산정방법 개선

  • Choi, Jeonghyeon (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University) ;
  • Lee, Okjeong (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University) ;
  • Kim, Yongseok (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Sangdan (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University)
  • 최정현 (부경대학교 지구환경시스템과학부 (환경공학전공)) ;
  • 이옥정 (부경대학교 지구환경시스템과학부 (환경공학전공)) ;
  • 김용석 (국립환경과학원 낙동강물환경연구소) ;
  • 김상단 (부경대학교 지구환경시스템과학부 (환경공학전공))
  • Received : 2018.08.30
  • Accepted : 2018.10.08
  • Published : 2018.11.30

Abstract

To minimize the negative alterations in hydrologic and water quality environment in urban areas due to urbanization, Low Impact Development (LID) techniques are actively applied. In Korea, LID facilities are classified as Non-point Pollution Reduction Facilities (NPRFs), and therefore they are evaluated using the performance evaluation method for NPRFs. However, while LID facilities are generally installed in small, distributed configuration and mainly work with the infiltration process, the existing NPRFs are installed on a large scale and mainly work with the reservoir process. Therefore, some limitations are expected in assessing both facilities using the same method as they differ in properties. To solve these problems, in this study, a new method for performance evaluation was proposed with focus on bio-retention LID facilities. EPA SWMM was used to reproduce the hydrologic and water quality phenomena in study area, and SWMM-LID module used to simulate TP interception performance by installing a bio-retention cell under various conditions through long-term simulations. Finally, an empirical formula for Load Capture Ratio (LCR) was derived based on storm water interception ratio in the same form as the existing method. Using the existing formula in estimating the LCR is likely to overestimate the performance of interception for non-point pollutants in the extremely low design capacity, and also underestimate it in the moderate and high design capacity.

Keywords

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Fig. 1. Flow chart.

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Fig. 2. Study area.

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Fig. 3. SWMM-Matlab linking module.

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Fig. 4. Observed stormwater depth and TP load.

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Fig. 5. Result of stormwater optimization.

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Fig. 6. Result of TP load optimization.

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Fig. 7. Stormwater interception ratio with various local rainfall properties.

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Fig. 8. Load capture ratio with various local rainfall properties.

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Fig. 9. Load capture ratio for change of depth of each layer.

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Fig. 10. Load capture ratio for hydraulic conductivity of native soil.

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Fig. 11. Comparison between new and existing load capture ratio.

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Fig. 12. Load capture ratio for stormwater interception ratio.

Table 1. Used parameters of Bio-retention cell (Choi et al., 2017)

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Table 2. Depth of each layer used in sensitivity analysis

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Table 3. Optimized parameters related to stormwater

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Table 4. Optimized parameters related to water quality (TP)

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