| Title |
Optimal Volume Estimation for Non-point Source Control Retention Considering Spatio-Temporal Variation of Land Surface |
| Authors |
최대규 ( Daeg Yu Choi ) ; 김진관 ( Jin Kwan Kim ) ; 이재관 ( Jae Kwan Lee ) ; 김상단 ( Sang Dan Kim ) |
| Keywords |
Non-point source management; NRCS-CN; Stormwater capture curve; Urban hydrology |
| Abstract |
In this study the optimal volume for non-point source control retention is estimated considering spatio-temporal variation of land surface. The 3-parameter mixed exponential probability density function is used to represent the statistical properties of rainfall events, and NRCS-CN method is applied as rainfall-runoff transformation. The catchment drainage area is divided into individual 30 m×30 m cells, and runoff curve number is estimated at each cell. Using the derived probability density function theory, the stormwater probability density function at each cell is derived from the rainfall probability density function and NRCS-CN rainfall-runoff transformation. Considering the antecedent soil moisture condition at each cell and the spatial variation of CN value at the whole catchment drainage area, the ensemble stormwater capture curve is established to estimate the optimal volume for an non-point source control retention. The comparison between spatio-temporally varied land surface and constant land surface is presented as a case study for a urban drainage area. |