Frequency analysis of annual maximum hourly precipitation and determination of best fit probability distribution for regions in Japan
| Autor: | Craig Farnham, Ashraful Alam, Kazuo Emura, Jihui Yuan |
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| Rok vydání: | 2018 |
| Předmět: |
Return period
Atmospheric Science Irrigation 010504 meteorology & atmospheric sciences Meteorology 0208 environmental biotechnology Geography Planning and Development Probability density function 02 engineering and technology Environmental Science (miscellaneous) 01 natural sciences 020801 environmental engineering Urban Studies Goodness of fit Automated Meteorological Data Acquisition System Chi-square test Probability distribution Environmental science Precipitation 0105 earth and related environmental sciences |
| Zdroj: | Urban Climate. 24:276-286 |
| ISSN: | 2212-0955 |
| DOI: | 10.1016/j.uclim.2017.07.008 |
| Popis: | In the design of irrigation and other hydraulic structures, evaluating the extreme rainfall for a specific probability of occurrence is important. The capacity of such structures is usually designed to cater to the probability of occurrence of extreme rainfall during its lifetime. In this study, a frequency analysis of annual maximum hourly rainfall for 15 locations in Japan was carried out using the Expanded Automated Meteorological Data Acquisition System (EA) weather data of 20 years from 1981 to 2000. Eight formulas were used to expect the return period in years of annual maximum hourly rainfall. Five different probability distribution functions (PDFs) were adopted to predict the probability distribution of occurrence of annual maximum hourly rainfall. The goodness of fit was evaluated using Chi-square test. It indicated that the Log-Pearson type 3 (LP3) distribution is the overall best fit PDF for annual maximum hourly rainfall at most locations of Japan. |
| Databáze: | OpenAIRE |
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