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Urban Stormwater Capture Curve Using Three‐Parameter Mixed Exponential Probability Density Function and NRCS Runoff Curve Number Method
Author(s) -
Kim Sangdan,
Han Suhee
Publication year - 2010
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.1002/j.1554-7531.2010.tb00255.x
Subject(s) - stormwater , surface runoff , runoff curve number , exponential function , environmental science , probability density function , stormwater management , function (biology) , mathematics , statistics , hydrology (agriculture) , soil science , mathematical analysis , geotechnical engineering , geology , ecology , biology , evolutionary biology
Most related literature regarding designing urban non‐point‐source management systems assumes that precipitation event‐depths follow the 1‐parameter exponential probability density function to reduce the mathematical complexity of the derivation process. However, the method of expressing the rainfall is the most important factor for analyzing stormwater; thus, a better mathematical expression, which represents the probability distribution of rainfall depths, is suggested in this study. Also, the rainfall‐runoff calculation procedure required for deriving a stormwater‐capture curve is altered by the U.S. Natural Resources Conservation Service (Washington, D.C.) (NRCS) runoff curve number method to consider the nonlinearity of the rainfall‐runoff relation and, at the same time, obtain a more verifiable and representative curve for design when applying it to urban drainage areas with complicated land‐use characteristics, such as occurs in Korea. The result of developing the stormwater‐capture curve from the rainfall data in Busan, Korea, confirms that the methodology suggested in this study provides a better solution than the pre‐existing one.