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http://dx.doi.org/10.3741/JKWRA.2004.37.10.813

Analysis of Drought Spatial Distribution Using Poisson Process  

Yoo, Chul-Sang (고려대학교 토목환경공학과)
Ahn, Jae-Hyun (서경대학교 토목공학과)
Ryoo, So-Ra (한국수자원공사 수자원연구소 수자원연구부)
Publication Information
Journal of Korea Water Resources Association / v.37, no.10, 2004 , pp. 813-822 More about this Journal
Abstract
This study quantifies and compares the drought return and duration characteristics by applying the Poisson process as well as based on by analyzing the observed data directly. The drought spatial distributions derived for the Gyunggi province are also compared. The monthly rainfall data are used to construct the SPI as a drought index. Especially, this study focuses on the evaluation of the Poisson process model when applying it to various data lengths such as in the spatial analysis 'of drought. Summarizing the results are as follows. (1) The Poisson process is found to be effective for the quantification of drought, especially when the data length is short. When applying the Poisson process, two neighboring sites are found insensitive to the data length to show similar drought characteristics, so the overall drought pattern becomes smoother than that derived directly from the observed data. (2) When the data length is very different site by site, the spatial analysis of drought based on a model application seems better than that based on the direct data analysis. This study also found more obvious spatial pattern of drought occurrence and duration when applying the Poisson process.
Keywords
Standardized Precipitation Index; Drought; Return; Duration; Poisson process; spatial distribution;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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