Assessment of a green roof practice using the coupled SWMM and HYDRUS models

被引:54
作者
Baek, SangSoo [1 ]
Ligaray, Mayzonee [1 ]
Pachepsky, Yakov [2 ]
Chun, Jong Ahn [3 ]
Yoon, Kwang-Sik [4 ]
Park, Yongeun [5 ]
Cho, Kyung Hwa [1 ]
机构
[1] Ulsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, Ulsan 44919, South Korea
[2] USDA ARS, Environm Microbial & Food Safety Lab, Beltsville, MD USA
[3] APEC Climate Ctr, Climate Analyt Dept, Busan 48058, South Korea
[4] Chonnam Natl Univ, Dept Rural & Biosyst Engn, Gwangju, South Korea
[5] Konkuk Univ, Sch Civil & Environm Engn, Neumgdong Ro 120, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Low impact development; Storm water management model; Soil water movement; HYDRUS; LOW IMPACT DEVELOPMENT; SENSITIVITY-ANALYSIS; HYDRAULIC CONDUCTIVITY; MANAGEMENT-PRACTICES; NUMERICAL-ANALYSIS; STORMWATER RUNOFF; COMPUTER-PROGRAM; URBAN CATCHMENTS; WATER; SOIL;
D O I
10.1016/j.jenvman.2019.109920
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green roof can mitigate urban stormwater and improve environmental, economic, and social conditions. Various modeling approaches have been effectively employed to implement a green roof, but previous models employed simplifications to simulate water movement in green roof systems. To address this issue, we developed a new modeling tool (SWMM-H) by coupling the stormwater management and HYDRUS-1D models to improve simulations of hydrological processes. We selected green roof systems to evaluate the coupled model. Rainfall-runoff experiments were conducted for a pilot-scale green roof and urban subbasin. Soil moisture in the green roof and runoff volume in the subbasin were simulated more accurately by using SWMM-H instead of SWMM. The scenario analysis showed that SWMM-H selected sandy loam for controlling runoff whereas SWMM recommended sand. In conclusion, SWMM-H could be a useful tool for accurately understanding hydrological processes in green roofs.
引用
收藏
页数:12
相关论文
共 109 条
[51]   A watershed-scale design optimization model for stormwater best management practices [J].
Lee, Joong Gwang ;
Selvakumar, Ariamalar ;
Alvi, Khalid ;
Riverson, John ;
Zhen, Jenny X. ;
Shoemaker, Leslie ;
Lai, Fu-hsiung .
ENVIRONMENTAL MODELLING & SOFTWARE, 2012, 37 :6-18
[52]   Analysis of the impact of low impact development on runoff from a new district in Korea [J].
Lee, Jung-min ;
Hyun, Kyoung-hak ;
Choi, Jong-soo .
WATER SCIENCE AND TECHNOLOGY, 2013, 68 (06) :1315-1321
[53]   A globally convergent augmented Lagrangian pattern search algorithm for optimization with general constraints and simple bounds [J].
Lewis, RM ;
Torczon, V .
SIAM JOURNAL ON OPTIMIZATION, 2002, 12 (04) :1075-1089
[54]  
Maidment D.R., 1993, HDB HYDROLOGY
[55]  
Maqsoud A., 2007, OTTAWAGEO2007, P1053
[56]   MODELING INFILTRATION DURING A STEADY RAIN [J].
MEIN, RG ;
LARSON, CL .
WATER RESOURCES RESEARCH, 1973, 9 (02) :384-394
[57]  
Montalto F.A., 2009, LOW IMPACT DEV URBAN
[58]   Model evaluation guidelines for systematic quantification of accuracy in watershed simulations [J].
Moriasi, D. N. ;
Arnold, J. G. ;
Van Liew, M. W. ;
Bingner, R. L. ;
Harmel, R. D. ;
Veith, T. L. .
TRANSACTIONS OF THE ASABE, 2007, 50 (03) :885-900
[59]   Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos [J].
Morris, David J. ;
Speirs, Douglas C. ;
Cameron, Angus I. ;
Heath, Michael R. .
ECOLOGICAL MODELLING, 2014, 273 :251-263
[60]   FACTORIAL SAMPLING PLANS FOR PRELIMINARY COMPUTATIONAL EXPERIMENTS [J].
MORRIS, MD .
TECHNOMETRICS, 1991, 33 (02) :161-174