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- W2184874890 abstract "The occurrence of many extreme events in hydrology cannot be forecasted on the basis of deterministic information with the sufficient accuracy and lead time for those decisions which are sensitive to their occurrence. In such cases, a probabilistic approach is required in order to incorporate the effects of such phenomena into decision making. A statistical study was conducted on long-term series data of daily rainfall from three weather stations in Vietnam (Hoa Binh), Laos (Luang Prabang) and Thailand (Phrae). These stations were all in relative close proximity to the MSEC (Management of Soil Erosion Consortium) study sites. Recorded periods ranged from 28 to 50 years. Analysis was undertaken on annual and maximum daily rainfall. Statistical adjustments derived values for decennial and centennial return period. Annual rainfall followed a normal distribution while maximum daily rainfall followed a Pearson 3 distribution. All stations had reached annual values close to the millennium frequency (frequency 0.99) for the maximum values recorded and close to the centennial frequency (0.01) for the minimum values. All stations had reached the maximum daily values equal to or greater than the centennial value. The highest observed value for Hoa Binh station (416.4 mm) is probably a millennium occurrence. There was a small tendency for rainfall values to decrease even in 1997 which was a strong El Nino year in the region. From this study, we may adjust rainfall data inputs for the erosion model developed by MSEC and extend the study to a larger area." @default.
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- W2184874890 date "2003-01-01" @default.
- W2184874890 modified "2023-09-27" @default.
- W2184874890 title "Statistical analysis of long-term series rainfall data: a regional study in Southeast Asia" @default.
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