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Characteristics of drought propagation in South Korea: relationship between meteorological, agricultural, and hydrological droughts

Author

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  • Hyedeuk Bae

    (National Institute of Meteorological Sciences, KMA)

  • Heesook Ji

    (National Institute of Meteorological Sciences, KMA)

  • Yoon-Jin Lim

    (National Institute of Meteorological Sciences, KMA)

  • Young Ryu

    (National Institute of Meteorological Sciences, KMA)

  • Moon-Hyun Kim

    (National Institute of Meteorological Sciences, KMA)

  • Baek-Jo Kim

    (National Institute of Meteorological Sciences, KMA)

Abstract

To investigate the propagation of meteorological droughts to agricultural and hydrological droughts, the relationship between droughts was analyzed using observed precipitation and agricultural reservoir and dam storage levels with SPI from 1998 to 2015 in South Korea. For the relationship between different types of droughts, we find that the occurrence of meteorological droughts after concentrated precipitation in the wet season (from June to September) tends not to lead to agricultural or hydrological droughts. A lack of precipitation from April to September, when large volumes of irrigation water are consumed, triggers both meteorological and agricultural droughts. In the case of hydrological droughts propagated from meteorological droughts, precipitation deficits in the dry season (between October and March) caused decrease in dam storage levels only. The occurrence of all different types of droughts is associated with extreme meteorological droughts, which are mainly caused by precipitation deficits in the wet season or prolonged rainfall shortages; in these cases, meteorological droughts led to agricultural and hydrological droughts. An analysis of the seasonal characteristics of storage level changes that in the wet season, agricultural reservoir storage levels are more dependent on precipitation deficits than dam storage levels. On other hand, when precipitation deficits were recorded in the dry season, agricultural reservoir storage levels went up, but dam storage levels dropped. The propagation of meteorological droughts to agricultural and hydrological droughts depends not only on drought severity but also on the drought timing. These findings may contribute to establishing a comprehensive drought monitoring system.

Suggested Citation

  • Hyedeuk Bae & Heesook Ji & Yoon-Jin Lim & Young Ryu & Moon-Hyun Kim & Baek-Jo Kim, 2019. "Characteristics of drought propagation in South Korea: relationship between meteorological, agricultural, and hydrological droughts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 1-16, October.
    • Handle: RePEc:spr:nathaz:v:99:y:2019:i:1:d:10.1007_s11069-019-03676-3
    DOI: 10.1007/s11069-019-03676-3
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    Cited by:

    1. Jang Hyun Sung & Donghae Baek & Young Ryu & Seung Beom Seo & Kee-Won Seong, 2021. "Effects of Hydro-Meteorological Factors on Streamflow Withdrawal for Irrigation in Yeongsan River Basin," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    2. Kim, Dong-Hyeon & Jang, Taeil & Hwang, Syewoon & Jeong, Hanseok, 2021. "Paddy rice adaptation strategies to climate change: Transplanting date shift and BMP applications," Agricultural Water Management, Elsevier, vol. 252(C).
    3. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    4. Beáta Novotná & Ľuboš Jurík & Ján Čimo & Jozef Palkovič & Branislav Chvíla & Vladimír Kišš, 2022. "Machine Learning for Pan Evaporation Modeling in Different Agroclimatic Zones of the Slovak Republic (Macro-Regions)," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    5. Li, Liang & Peng, Qing & Wang, Maodong & Cao, Yuxin & Gu, Xiaobo & Cai, Huanjie, 2024. "Quantitative analysis of vegetation drought propagation process and uncertainty in the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 295(C).
    6. Muhammad Shehzad Ashraf & Muhammad Shahid & Muhammad Waseem & Muhammad Azam & Khalil Ur Rahman, 2023. "Assessment of Variability in Hydrological Droughts Using the Improved Innovative Trend Analysis Method," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    7. Dai, Meng & Huang, Shengzhi & Huang, Qiang & Leng, Guoyong & Guo, Yi & Wang, Lu & Fang, Wei & Li, Pei & Zheng, Xudong, 2020. "Assessing agricultural drought risk and its dynamic evolution characteristics," Agricultural Water Management, Elsevier, vol. 231(C).
    8. Chong Du & Jiashuo Chen & Tangzhe Nie & Changlei Dai, 2022. "Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 155-173, January.

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