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http://dx.doi.org/10.17663/JWR.2019.21.s-1.28

Impacts assessment of Climate change on hydrologic cycle changes in North Korea based on RCP climate change scenarios I. Development of Long-Term Runoff Model Parameter Estimation for Ungauged Basins  

Jeung, Se Jin (Department of Urban Environment & Disaster Management, Kangwon National University)
Kang, Dong Ho (Department of Urban Environment & Disaster Management, Kangwon National University)
Kim, Byung Sik (Department of Urban Environment & Disaster Management, Kangwon National University)
Publication Information
Journal of Wetlands Research / v.21, no.spc, 2019 , pp. 28-38 More about this Journal
Abstract
Climate change on the Korean peninsula is progressing faster than the global average. For example, typhoons, extreme rainfall, heavy snow, cold, and heatwave that are occurring frequently. North Korea is particularly vulnerable to climate change-related natural disasters such as flooding and flooding due to long-term food shortages, energy shortages, and reckless deforestation and development. In addition, North Korea is classified as an unmeasured area due to political and social influences, making it difficult to obtain sufficient hydrologic data for hydrological analysis. Also, as interest in climate change has increased, studies on climate change have been actively conducted on the Korean Peninsula in various repair facilities and disaster countermeasures, but there are no cases of research on North Korea. Therefore, this study selects watershed characteristic variables that are easy to acquire in order to apply localization model to North Korea where it is difficult to obtain observed hydrologic data and estimates parameters based on meteorological and topographical characteristics of 16 dam basins in South Korea. Was calculated. In addition, as a result of reviewing the applicability of the parameter estimation equations calculated for the fifty thousand, Gangneungnamdaecheon, Namgang dam, and Yeonggang basins, the applicability of the parameter estimation equations to North Korea was very high.
Keywords
North Korea; M-RAT; Parameter Localization;
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Times Cited By KSCI : 3  (Citation Analysis)
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