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Low Frequency Relationship Analysis between PDSI and Global Sea Surface Temperature  

Oh, Tae-Suk (서울시립대학교 공과대학 토목공학과)
Kim, Seong-Sil (서울시립대학교 공과대학 토목공학과)
Moon, Young-Il (서울시립대학교 공과대학 토목공학과)
Publication Information
Journal of the Korean Society of Hazard Mitigation / v.10, no.3, 2010 , pp. 119-131 More about this Journal
Abstract
Drought is one of disaster causing factors to produce severe damage in the World because drought is destroyed to the ecosystem as well as to make difficult the economy of the drought area. This study, using Palmer Drought Severity Index carries out correlation analysis with sea surface temperatures. Comparative analysis carries out by calculated Palmer Drought Severity Index and past drought occurrence year. Result of comparative analysis, PDSI indexes were in accord with the past drought. Cluster analysis for correlation analysis carries out using precipitation and temperature that is input datas palmer drought severity index, and the result of cluster analysis was classified as 6. Also, principal component carries out using result of cluster analysis. 14 principal component analyze out through principal component analysis. Using analyzed 14 principal component carries out correlation analysis with sea surface temperature that is delay time from 0month until 11month. Correlation analysis carries out sea surface temperatures and calculated cycle component of the low frequency through Wavelet Transform analysis form principal component. Result of correlation analysis, yang(+) correlation is bigger than yin(-) correlation. It is possible to check similar correlation statistically the area of sea surface temperature with sea surface temperature in the Pacific. Forecasting possibility of the future drought make propose using sea surface temperature.
Keywords
correlation analysis; PDSI; sea surface temperature; wavelet transform analysis;
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Times Cited By KSCI : 2  (Citation Analysis)
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