IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i24p16646-d1295947.html
   My bibliography  Save this article

Spatiotemporal Variability of Regional Rainfall Frequencies in South Korea for Different Periods

Author

Listed:
  • Moonyoung Lee

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Heejin An

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Jiwan Lee

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Myoung-Jin Um

    (Department of Civil & Energy System Engineering, Kyonggi University, Suwon 16227, Republic of Korea)

  • Younghun Jung

    (Korea Disaster Prevention Association, Seoul 05402, Republic of Korea)

  • Kewtae Kim

    (ISAN Corporation, Anyang 14066, Republic of Korea)

  • Kichul Jung

    (Division for Integrated Water Management, Korea Environment Institute, Sejong 30147, Republic of Korea)

  • Seongjoon Kim

    (Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Daeryong Park

    (Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea)

Abstract

Understanding regional as well as temporal variations in probability rainfall is essential for addressing climate change-related hydrological issues. Few studies have conducted spatial analyses on probability rainfall using up-to-date rainfall data, which is crucial to comprehend regional rainfall variations for effective flood management and hydraulic structure design. In this study, we analyzed the spatiotemporal variations of probability rainfall factors in South Korea using 61 rainfall stations and four rainfall periods (years) (recent-10, 2011–2020; recent-20, 2001–2020; recent-30, 1991–2020; recent-40, 1981–2020). We mapped probability rainfall information, including probability rainfall intensities (20, 30, and 40 mm/h), return periods (10, 20, 50, and 100 years), rainfall durations (1, 2, 6, and 24 h), and rainfall depth. Results revealed wide variations in the northern and southwest inland regions based on rainfall periods. Decadal annual rainfall analysis revealed that the north and southwest inland regions indicated lower recent decadal rainfall than that in previous decades, while decadal annual rainfall in the southeast inland region remained constant. The generated spatial and temporal distribution maps offer valuable insights for comprehending the variation in probability rainfall factors across different time periods in South Korea, with practical implications for the planning and design of hydraulic structures.

Suggested Citation

  • Moonyoung Lee & Heejin An & Jiwan Lee & Myoung-Jin Um & Younghun Jung & Kewtae Kim & Kichul Jung & Seongjoon Kim & Daeryong Park, 2023. "Spatiotemporal Variability of Regional Rainfall Frequencies in South Korea for Different Periods," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16646-:d:1295947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/24/16646/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/24/16646/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
    2. Nam, Won-Ho & Hayes, Michael J. & Svoboda, Mark D. & Tadesse, Tsegaye & Wilhite, Donald A., 2015. "Drought hazard assessment in the context of climate change for South Korea," Agricultural Water Management, Elsevier, vol. 160(C), pages 106-117.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Ameneh Mianabadi & Hashem Derakhshan & Kamran Davary & Seyed Majid Hasheminia & Markus Hrachowitz, 2020. "A Novel Idea for Groundwater Resource Management during Megadrought Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1743-1755, March.
    3. Soyeon Lim & Seungyub Lee & Donghwi Jung, 2021. "Identifying the Drought Impact Factors and Developing Drought Scenarios Using the DSD Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4809-4823, November.
    4. Linghui Guo & Yuanyuan Luo & Yao Li & Tianping Wang & Jiangbo Gao & Hebing Zhang & Youfeng Zou & Shaohong Wu, 2023. "Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    5. Daniel Cooley & Steven M. Smith, 2022. "Center Pivot Irrigation Systems as a Form of Drought Risk Mitigation in Humid Regions," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 135-171, National Bureau of Economic Research, Inc.
    6. Muhammad Amin & Mobushir Riaz Khan & Sher Shah Hassan & Muhammad Imran & Muhammad Hanif & Irfan Ahmad Baig, 2023. "Determining satellite-based evapotranspiration product and identifying relationship with other observed data in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 23-39, January.
    7. Yuhong Shuai & Liming Yao, 2021. "Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4043-4065, September.
    8. Moonju Kim & Befekadu Chemere & Kyungil Sung, 2019. "Effect of Heavy Rainfall Events on the Dry Matter Yield Trend of Whole Crop Maize ( Zea mays L.)," Agriculture, MDPI, vol. 9(4), pages 1-11, April.
    9. X. Zhang & Y. Yamaguchi, 2014. "Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009/2010 drought over southwestern China," 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. 74(3), pages 2129-2145, December.
    10. Jinsoo Hwang & Hyunjoon Kim, 2019. "Consequences of a green image of drone food delivery services: The moderating role of gender and age," Business Strategy and the Environment, Wiley Blackwell, vol. 28(5), pages 872-884, July.
    11. Kaiwen Li & Ming Wang & Kai Liu, 2021. "The Study on Compound Drought and Heatwave Events in China Using Complex Networks," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    12. Rui Zhang & Taotao Chen & Daocai Chi, 2020. "Global Sensitivity Analysis of the Standardized Precipitation Evapotranspiration Index at Different Time Scales in Jilin Province, China," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    13. Shan Jiang & Jian Zhou & Guojie Wang & Qigen Lin & Ziyan Chen & Yanjun Wang & Buda Su, 2022. "Cropland Exposed to Drought Is Overestimated without Considering the CO 2 Effect in the Arid Climatic Region of China," Land, MDPI, vol. 11(6), pages 1-21, June.
    14. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," 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. 117(3), pages 2617-2646, July.
    15. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & Lin, Qingxia & Ning, Shaowei & Zhou, Yuliang & Jin, Juliang & Zhou, Rongxing & Ma, Qiang, 2023. "Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts," Agricultural Water Management, Elsevier, vol. 282(C).
    16. Omolola M. Adisa & Muthoni Masinde & Joel O. Botai & Christina M. Botai, 2020. "Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    17. Erickson, Adam & Nitschke, Craig & Coops, Nicholas & Cumming, Steven & Stenhouse, Gordon, 2015. "Past-century decline in forest regeneration potential across a latitudinal and elevational gradient in Canada," Ecological Modelling, Elsevier, vol. 313(C), pages 94-102.
    18. Eva O. Arceo-Gómez & Danae Hernández-Cortés & Alejandro López-Feldman, 2020. "Droughts and rural households’ wellbeing: evidence from Mexico," Climatic Change, Springer, vol. 162(3), pages 1197-1212, October.
    19. Trnka, Miroslav & Vizina, Adam & Hanel, Martin & Balek, Jan & Fischer, Milan & Hlavinka, Petr & Semerádová, Daniela & Štěpánek, Petr & Zahradníček, Pavel & Skalák, Petr & Eitzinger, Josef & Dubrovský,, 2022. "Increasing available water capacity as a factor for increasing drought resilience or potential conflict over water resources under present and future climate conditions," Agricultural Water Management, Elsevier, vol. 264(C).
    20. Zhang, Yu & Liu, Xiaohong & Jiao, Wenzhe & Zhao, Liangju & Zeng, Xiaomin & Xing, Xiaoyu & Zhang, Lingnan & Hong, Yixue & Lu, Qiangqiang, 2022. "A new multi-variable integrated framework for identifying flash drought in the Loess Plateau and Qinling Mountains regions of China," Agricultural Water Management, Elsevier, vol. 265(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16646-:d:1295947. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.