Abstract
Design rainfall estimation is frequently needed in practice. Most nations develop their own design rainfall atlas for nationwide application. This chapter intends to provide insights of design rainfall estimation issues to researchers and practitioner to enable them to understand some of the fundamental statistical concepts behind the development of design rainfalls in the form of intensity-duration-frequency (IDF) data. We have attempted to cover essential aspects of design rainfall estimation, which include (1) at-site and regional perspectives, (2) regional homogeneity and spatial dependence, (3) parametric and nonparametric approaches to fit probability distributions and model selection using different goodness-of-fit tests, (4) data collation, (5) gauged and ungauged site estimation, (6) uncertainty analysis, (7) IDF smoothing, (8) presentation of IDF data for practical application, and (9) impact of climate change on design rainfall estimation. We would like to acknowledge the supports of the editor-in-chief associate professor Saeid Eslamian and the anonymous reviewers for making constructive comments and suggestions, which have improved the materials presented in this chapter. We would also like to acknowledge the members of our family for supporting us in writing this chapter.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Engineering Hydrology: Modeling, Climate Change and Variability |
| Editors | Saeid Eslamian |
| Place of Publication | U.S. |
| Publisher | Taylor & Francis |
| Pages | 173-190 |
| Number of pages | 18 |
| ISBN (Print) | 9781466552463 |
| Publication status | Published - 2014 |