4.7 Article Proceedings Paper

Estimation of sub-hourly DDF curves using scaling properties of hourly and sub-hourly data at partially gauged site

Journal

ATMOSPHERIC RESEARCH
Volume 77, Issue 1-4, Pages 114-123

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.atmosres.2004.10.025

Keywords

extreme rainfall; scaling method; statistical modelling; short-duration events; urban hydrology

Ask authors/readers for more resources

In urban drainage systems, knowledge of short-duration rainfall events can be considered as one of the most critical elements when their hydrological behaviour wants to be investigated. The temporal resolution of rainfall data usually available for practical applications is often lower than the data requested for the design procedures or mathematical models application, greatly affecting their reliability. Moreover, when high resolution rain gauges are available in the catchment, the registration period cannot be sufficiently long for obtaining practically usable statistical analyses. The present study proposes a method for estimating the distribution of sub-hourly extreme rainfalls at sites where data for time interval of interest do not exist, but rainfall data for longer duration are available. The proposed method is based on the scale-invariance (or scaling) theory whose concepts imply that statistical properties of the extreme rainfall processes for different temporal scales are self-related by a scale-changing operator involving only the scale ratio. The methodology is applied to extreme rainfall data from a rain gauge network within the metropolitan area of Palermo (Italy). Following the application, it is shown that the statistical properties of the rainfall series have a simple scaling property over the range of duration 10 min-24 h. A simple parsimonious analytical formulation for the DDF curves, which embodies the scaling behaviour, is presented. (c) 2005 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available