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Environmental Engineering Research 2011;16(3): 175-183. DOI: https://doi.org/10.4491/eer.2011.16.3.175
Analysis of Changes in Extreme Weather Events Using Extreme Indices
Byung Sik Kim1, Young Han Yoon2, and Hyun Dong Lee2,3
1Graduate School of Disaster Prevention, Kangwon National University, Chuncheon 245-711, Korea
2Construction Environment Research Division, Korea Institute of Construction Technology, Goyang 411-712, Korea
3Department of Construction & Environment Engineering, University of Science & Technology (UST), Daejeon 305-350, Korea
Corresponding Author: Hyun Dong Lee ,Tel: +82-31-9100-0297, Fax: +82-31-9100-0291, Email: hdlee@kict.re.kr
Received: August 6, 2011;  Accepted: August 29, 2011.
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ABSTRACT
The climate of the 21st century is likely to be significantly different from that of the 20th century because of human-induced climate change. An extreme weather event is defined as a climate phenomenon that has not been observed for the past 30 years and that may have occurred by climate change and climate variability. The abnormal climate change can induce natural disasters such as floods, droughts, typhoons, heavy snow, etc. How will the frequency and intensity of extreme weather events be affected by the global warming change in the 21st century? This could be a quite interesting matter of concern to the hydrologists who will forecast the extreme weather events for preventing future natural disasters. In this study, we establish the extreme indices and analyze the trend of extreme weather events using extreme indices estimated from the observed data of 66 stations controlled by the Korea Meteorological Administration (KMA) in Korea. These analyses showed that spatially coherent and statistically significant changes in the extreme events of temperature and rainfall have occurred. Under the global climate change, Korea, unlike in the past, is now being affected by extreme weather events such as heavy rain and abnormal temperatures in addition to changes in climate phenomena.
Keywords: Climate change | Extreme indices | Extreme weather events | Statistical diagnostic
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