JOURNAL ARTICLE

Hydrologic analysis of urban catchments with event‐based probabilistic models: 2. Peak discharge rate

Yiping GuoBarry J. Adams

Year: 1998 Journal:   Water Resources Research Vol: 34 (12)Pages: 3433-3443   Publisher: Wiley

Abstract

The peak discharge rate of a runoff event is estimated from the runoff event volume, the duration of the causal rainfall event, and the catchment time of concentration. The runoff event volume is determined from the rainfall‐runoff relationship developed by Guo and Adams [this issue]. The average catchment time of concentration is used for all runoff events and is treated as a physical characteristic of the urban catchment, independent of input rainfall characteristics. Incorporating the exponential probability density functions of rainfall event characteristics, closed‐form analytical expressions are then derived for the return period of peak discharge rate or flood frequency distribution of urban catchments. The derived flood frequency distributions compared favorably with sample distributions constructed from continuous simulation results for a range of urban catchments. Thus the derived analytical expressions or probabilistic models for peak discharge rates are proposed as an alternative to simulation modeling or regional analyses for the determination of flood frequencies for urban catchments.

Keywords:
Surface runoff Environmental science Hydrology (agriculture) Flood myth Runoff model Drainage basin Probabilistic logic Return period Event (particle physics) Probability distribution 100-year flood Statistics Geography Geology Mathematics Geotechnical engineering

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72
Cited By
1.22
FWCI (Field Weighted Citation Impact)
17
Refs
0.78
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Flood Risk Assessment and Management
Physical Sciences →  Environmental Science →  Global and Planetary Change
Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Urban Stormwater Management Solutions
Physical Sciences →  Environmental Science →  Environmental Engineering

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