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Article

Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI

1
Department of Climate Change, Graduate School, Kyungpook National University, Daegu 41566, Korea
2
Department of Civil Engineering, Yeungnam University, Gyeongsan 38541, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(3), 963; https://doi.org/10.3390/su12030963
Submission received: 1 January 2020 / Revised: 21 January 2020 / Accepted: 25 January 2020 / Published: 29 January 2020

Abstract

Historical, downscaled and projected data for six cities in South Korea were collected and analyzed using non-parametric Standardized Precipitation Index (SPI) across the Representative Concentration Pathways (RCPs) RCP4.5 and RCP8.5. SPI results were utilized in further analyses: intensity, decadal frequency, and temporal shifts. Non-parametric SPI was used as it produces more reliable results in terms of their statistical, spatial and temporal characteristics. RCP4.5 was taken to represent concentrations under the current emissions trajectory, while RCP8.5 represents the high-end scenario. Findings suggest that extreme precipitation events are more likely to increase in number than extreme drought across all timescales and RCPs. Variability was observed to increase when comparing SPI obtained from actual, measured and gridded precipitation. More extreme droughts are expected under RCP8.5 forcing as are the occurrence of multiyear droughts and extreme wet events relative to RCP4.5. A seasonal shift in extreme precipitation of up to 3 months earlier was observed. Generally, the period between 2080 and 2100 holds the highest probability to host extremely rare and persistent events.
Keywords: standardized precipitation index; hydrologic extreme; extreme drought; extreme precipitation standardized precipitation index; hydrologic extreme; extreme drought; extreme precipitation

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MDPI and ACS Style

Butu, H.M.; Seo, Y.; Huh, J.S. Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI. Sustainability 2020, 12, 963. https://doi.org/10.3390/su12030963

AMA Style

Butu HM, Seo Y, Huh JS. Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI. Sustainability. 2020; 12(3):963. https://doi.org/10.3390/su12030963

Chicago/Turabian Style

Butu, Hemen Mark, Yongwon Seo, and Jeung Soo Huh. 2020. "Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI" Sustainability 12, no. 3: 963. https://doi.org/10.3390/su12030963

APA Style

Butu, H. M., Seo, Y., & Huh, J. S. (2020). Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI. Sustainability, 12(3), 963. https://doi.org/10.3390/su12030963

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