2007•China Environmental ScienceRequires access

Local sensitivity analysis for urban rainfall runoff modelling

M. Ho

Open publisher page 4 citations

Abstract

Sensitivity analysis (SA) is a crucial procedure for parameter identification and uncertainty analysis. Local sensitivity analysis using Morris screening method was carried out for urban rainfall runoff modeling based on Storm Water Management Model (SWMM). The most sensitive parameter for runoff depth of three rainfall events all was the percentage of imperviousness, with sensitivity indices of 0.88, 0.98 and 0.43 respectively. In comparison, sensitivity indices (Morris) ranking for peak flow varies of rainfall events with different rainfall intensity, namely, the most sensitive parameter was conduit Manning coefficient for the rainfall event with the largest rainfall intensity, whereas the most sensitive parameter was %zero-Imperviousness for the rainfall event with the lowest rainfall intensity. Additionally, sensitivity indices rankings of parameters especially with respect to the infiltration rate of SWMM model also relates greatly to the rainfall intensity. Sensitivity analysis was used to identify the important parameters for runoff depth and peak flow, which proved to be a beneficial tool to aid for the calibration and uncertainty analysis of SWMM model.

About this research paper

What this paper is about

Sensitivity analysis (SA) is a crucial procedure for parameter identification and uncertainty analysis. Local sensitivity analysis using Morris screening method was carried out for urban rainfall runoff modeling based on Storm Water Management Model (SWMM). The most sensitive parameter for runoff depth of three rainfall events all was the percentage of imperviousness, with sensitivity indices of 0.88, 0.98 and 0.43 respectively. In comparison, sensitivity indices (Morris) ranking for peak flow varies of rainfall events with different rainfall intensity, namely, the most sensitive parameter was conduit Manning coefficient for the rainfall event with the largest rainfall intensity, whereas the most sensitive parameter was %zero-Imperviousness for the rainfall event with the lowest rainfall intensity. Additionally, sensitivity indices rankings of parameters especially with respect to the infiltration rate of SWMM model also relates greatly to the rainfall intensity. Sensitivity analysis was used to identify the important parameters for runoff depth and peak flow, which proved to be a beneficial tool to aid for the calibration and uncertainty analysis of SWMM model.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Sensitivity analysis (SA) is a crucial procedure for parameter identification and uncertainty analysis. Local sensitivity analysis using Morris screening method was carried out for urban rainfall runoff modeling based on Storm Water Management Model (SWMM). The most sensitive parameter for runoff depth of three rainfall events all was the percentage of imperviousness, with sensitivity indices of 0.88, 0.98 and 0.43 respectively. In comparison, sensitivity indices (Morris) ranking for peak flow varies of rainfall events with different rainfall intensity, namely, the most sensitive parameter was conduit Manning coefficient for the rainfall event with the largest rainfall intensity, whereas the most sensitive parameter was %zero-Imperviousness for the rainfall event with the lowest rainfall intensity. Additionally, sensitivity indices rankings of parameters especially with respect to the infiltration rate of SWMM model also relates greatly to the rainfall intensity. Sensitivity analysis was used to identify the important parameters for runoff depth and peak flow, which proved to be a beneficial tool to aid for the calibration and uncertainty analysis of SWMM model.

Key concepts: Surface runoff, Storm Water Management Model, Sensitivity (control systems), Environmental science, Hydrology (agriculture), Storm, Infiltration (HVAC), Uncertainty analysis

Related papers

Back to paper searchBrowse research topicsOriginal source
Local sensitivity analysis for urban rainfall runoff modelling — Research Paper | ScholarLens