Detailed Trend Analysis of Extreme Climate Indices in the Upper Geum River Basin

To investigate the recent effects of climate change in the upper Geum River basin in South Korea, a detailed trend analysis of 17 extreme climate indices based on 33 years (1988–2020) of daily precipitation, and daily (minimum and maximum) temperature data has been analyzed in this study. Out of the...

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Published inWater (Basel) Vol. 13; no. 22; p. 3171
Main Authors Felix, Micah Lourdes, Kim, Young-kyu, Choi, Mikyoung, Kim, Joo-Cheol, Do, Xuan Khanh, Nguyen, Thu Hien, Jung, Kwansue
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2021
Subjects
Climate change
Climate effects
Climatic conditions
Dams
ETCCDI
extreme climate index
Investigations
Mann–Kendall
Open source software
Precipitation
Rainfall intensity
River basins
Rivers
Seasons
Time series
Trend analysis
Trends
Variables
Watershed management
Watersheds
Yongdam dam
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Summary:To investigate the recent effects of climate change in the upper Geum River basin in South Korea, a detailed trend analysis of 17 extreme climate indices based on 33 years (1988–2020) of daily precipitation, and daily (minimum and maximum) temperature data has been analyzed in this study. Out of the 17 extreme climate indices, nine (eight) indices were based on temperature (precipitation) data. Trend analysis based on detailed temporal scales (annual, seasonal, monthly) were performed through the Mann–Kendall trend test and the Theil–Sen slope method. Furthermore, the Mann–Whitney–Pettit test was also applied in this study, to detect abrupt changes in the extreme climate indices. Based on the results of this study, the climate conditions at the upper Geum River basin for the past three decades can be summarized as follows: general increase in temperature intensity, decrease in cold duration, increased heat duration, increased precipitation intensity, and increased consecutive wet and dry durations. Furthermore, a prolonged summer season (shorter spring, and autumn periods) and precipitation shifts, were detected based on trend analysis results of seasonal, and monthly time scales. The results presented in this study can provide supplementary data for improving watershed management strategies in the upper Geum River basin.
ISSN:2073-4441
2073-4441
DOI:10.3390/w13223171