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http://dx.doi.org/10.11108/kagis.2015.18.4.031

Flow Estimation Using Rainfalls Derived from Multiple Satellite Images in North Korea  

KIM, Joo-Hun (Dept. of Hydro Science and Engineering Research, KICT)
CHOI, Yun-Seok (Dept. of Hydro Science and Engineering Research, KICT)
KIM, Kyung-Tak (Dept. of Hydro Science and Engineering Research, KICT)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.18, no.4, 2015 , pp. 31-42 More about this Journal
Abstract
The objective of this study is to estimate the flood flow of inaccessible regions using satellite-derived rainfall and global geographic data. This study focuses on Dongsingun, an area located upstream of the Cheongcheon River in North Korea. The IFAS model was used to estimate flood flow. The model was calibrated in the Gap Stream watershed in South Korea and verified for the Byeongsung Stream watershed in the Nakdong River basin. Satellite-derived rainfalls for North Korea was revised using ground gauge data. Analysis results using CMORPH and GSMaP_NRT showed $4,886m^3/s$ and $5,718m^3/s$ respectively. In future studies, hydrological analysis in unmeasured and inaccessible regions will be carried out by applying more rainfall events.
Keywords
CMORPH; GSMaP; IFAS; Global Map; North Korea; Flood;
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Times Cited By KSCI : 4  (Citation Analysis)
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