2012
DOI: 10.1007/s12205-012-0004-3
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Investigation of trend variations in annual maximum rainfalls in South Korea

Abstract: Hydrologic frequency analysis practically assumes that a time series of interest is temporally stationary. However, the assumption is sometimes not valid within the context of climate change. Monotonic trend tests, which are widely used in practice to investigate the presence of significant non-stationarity of hydrologic variables, can determine only whether a trend is significant. This study proposed a practical method for characterizing trend pattern embedded in hydrologic observations through the efficient … Show more

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Cited by 14 publications
(2 citation statements)
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“…Considering the intensive agricultural activities in the Chungcheong region [40], the increase in dry climate extremes could create challenging impacts on the agricultural productivity and food security in the region and South Korea in general [15]. The vulnerability of sub-regions such as Jecheon and Geumsan in the Chungcheong region to flood and drought due to significantly increasing trends in climate extremes has been previously reported [24,41]. This result is consistent with the findings in [15], where heavy climatic conditions are identified in the summer and autumn seasons around the northeast region of the Chungcheong province.…”
Section: Discussionmentioning
confidence: 99%
“…Considering the intensive agricultural activities in the Chungcheong region [40], the increase in dry climate extremes could create challenging impacts on the agricultural productivity and food security in the region and South Korea in general [15]. The vulnerability of sub-regions such as Jecheon and Geumsan in the Chungcheong region to flood and drought due to significantly increasing trends in climate extremes has been previously reported [24,41]. This result is consistent with the findings in [15], where heavy climatic conditions are identified in the summer and autumn seasons around the northeast region of the Chungcheong province.…”
Section: Discussionmentioning
confidence: 99%
“…The Mann-Kendall (MK) test [48,49] has been widely applied to evaluate the long-term trends of time series [50][51][52][53][54]. Hirsch et al successfully extended the MK function to examine the correlations between two time series [55,56].…”
Section: Methodsmentioning
confidence: 99%