Design Storm Events for Urban Drainage Based on Historical Rainfall Data: a Conceptual Framework for a Logical Approach

  • Rivard G
N/ACitations
Citations of this article
28Readers
Mendeley users who have this article in their library.

Abstract

Almost twenty-five years after the first generation computer models were made available in the 1970s, we have to recognize that the question of the appropriate rainfall data to use for standard urban drainage design is still unresolved in a completely satisfactory manner. The first attempts to derive a design storm and specific synthetic time distributions were inevitably based on the intensity-duration-frequency (IDF) curves, which are used with the rational method, e.g. the Chicago design storm (Keifer and Chu, 1957). Recognizing the limitations of this approach, many researchers at the end of the 1970s and beginning ofthe 1980s proposed different alternatives based on a more realistic analysis of the rainfall data (Pilgrim and Cordery, 1975; Walesh et al., 1979; Hogg, 1981; Hogg, 1982); these approaches were not however used widely as they implied tedious calculations and expensive computer time. Practitioners therefore continued using synthetic design storms, as they provided a simple and apparently appropriate tool for routine designs. The basic argument developed here is that with the powerful microcomputers available today, the costs and complexity of a more thorough analysis are no longer an argument for simplistic design storms applied tmiformly for any type of design problems. A methodology is therefore proposed to define a series of design storm events using actual rainfall data and computer simulations. The analysis has a definite practical orientation in order to obtain a set of design storms Rivard, G. 1996.

Cite

CITATION STYLE

APA

Rivard, G. (1996). Design Storm Events for Urban Drainage Based on Historical Rainfall Data: a Conceptual Framework for a Logical Approach. Journal of Water Management Modeling. https://doi.org/10.14796/jwmm.r191-12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free