| contributor author | Dongquan Zhao | |
| contributor author | Jining Chen | |
| contributor author | Haozheng Wang | |
| contributor author | Qingyuan Tong | |
| date accessioned | 2017-05-08T21:53:19Z | |
| date available | 2017-05-08T21:53:19Z | |
| date copyright | January 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29ir%2E1943-4774%2E0000551.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/65434 | |
| description abstract | Urban rainfall-runoff modeling is important to analyze the health of urban water systems. The Storm Water Management Model (SWMM) developed by the U.S. Environmental Protection Agency (USEPA) is one of the most widely used rainfall-runoff models. In this paper, SWMM was integrated with a sampling based on a combined objective, aiming at (1) reducing the uncertainty of model parameters distribution in the sampling-based method, and (2) reducing uncertainty bounds of model outputs to obtain more accurate predictions. The Latin hypercube sampling (LHS) method was selected as the sampling strategy, and the Nash-Sutcliffe (NS) coefficient, correlation coefficient ( | |
| publisher | American Society of Civil Engineers | |
| title | Application of a Sampling Based on the Combined Objectives of Parameter Identification and Uncertainty Analysis of an Urban Rainfall-Runoff Model | |
| type | Journal Paper | |
| journal volume | 139 | |
| journal issue | 1 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/(ASCE)IR.1943-4774.0000522 | |
| tree | Journal of Irrigation and Drainage Engineering:;2013:;Volume ( 139 ):;issue: 001 | |
| contenttype | Fulltext | |
