Abstract
The purpose of this study is the statistical analysis of rainfall events to explore patterns and dependencies that would allow the generalization in cases of missing or truncated data. More specifically, in this paper we estimate intensity-duration-frequency (IDF) curves, which are widely used to model rainfall. We use data from a meteorological station in Eresos, Greece and estimate the parameters of the model for fixed return periods. Sensitivity analysis is conducted to check whether the estimates are optimal. Finally, a more general model is applied that allows for simultaneous modeling of rainfall duration, intensity and frequency (via return periods).
| Original language | English |
|---|---|
| Pages (from-to) | 607-614 |
| Number of pages | 8 |
| Journal | Mathematics in Engineering, Science & Aerospace (MESA) |
| Volume | 6 |
| Issue number | 4 |
| Publication status | Published - 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation -
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Rainfall modeling
- Non–linear regression
- Intensity-duration-frequency curves
- Sensitivity analysis
- Monte Carlo simulation
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