Using SWMM as a tool for hydrologic impact assessment

被引:99
作者
Jang, Suhyung
Cho, Minock
Yoon, Jaeyoung [1 ]
Yoon, Yongnam
Kim, Sangdan
Kim, Geonha
Kim, Leehyung
Aksoy, Hafzullah
机构
[1] Korea Univ, Dept Environm Engn, Jochiwon, South Korea
[2] MOCT, KICTTEP, Urban Flood Disaster Management Res Ctr, Seoul, South Korea
[3] Hyundai Engn, Seoul, South Korea
关键词
hydrologic impact; natural watershed; SWMM; synthetic hydrograph; uncalibrated runs; urbanization effect;
D O I
10.1016/j.desal.2007.05.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Hydrologic impact assessment is necessary for a planned development area in designing detention storage for urban drainage systems to minimize the effect of urbanization. It also has strong implication on pollutant loads from urban areas. For such assessment, single or two hydrologic models can be paired for pre- and post-development conditions. Typical pairings are the use of synthetic hydrograph methods for both conditions or synthetic hydrograph for pre-development and urban hydrology model for post-development condition. The former has the difficulty of accounting for drainage structure for post-development condition and the latter can run into erratic evaluation as the error can be introduced due to different model conceptualizations and parameterizations. In order to overcome the aforementioned shortcomings, the use of Storm Water Management Model (SWMM) for both pre- and post-development conditions is proposed in this study. The SWMM was applied to four planned development areas in Korea. The comparison of the results with previous assessments done for the same sites showed that the new approach can resolve the irrationalities that can occur with the combination of two different models such as smaller peak flow and longer time to peak for post-development condition. It is thought that the proposed method improves the accountability of the hydrologic impact assessment on planned development areas.
引用
收藏
页码:344 / 356
页数:13
相关论文
共 18 条
[1]  
BRAS RL, 1975, J HYDR ENG DIV-ASCE, V101, P451
[2]  
Chow T.V., 1988, APPL HYDROLOGY
[3]  
GUAY JR, 1996, 954273 US GEOL SURV
[4]  
*HARR COUNT FLOOD, 1983, FOLLD HAZ STUD HARR
[5]  
Huber W. C., 1995, Computer models of watershed hydrology., P783
[6]   TIME DISTRIBUTION OF RAINFALL IN HEAVY STORMS [J].
HUFF, FA .
WATER RESOURCES RESEARCH, 1967, 3 (04) :1007-&
[7]   SYNTHETIC UNIT-HYDROGRAPH [J].
JAMES, WP ;
WINSOR, PW ;
WILLIAMS, JR .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 1987, 113 (01) :70-81
[8]  
LEOPOLD LB, 1968, 554 US GEOL SURV WAS
[9]  
LEOPOLD LB, 1991, LAG TIMES SMALL DRAI, V18, P157
[10]  
Lewis A.R., 2004, STORM WATER MANAGEME