IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v35y2021i14d10.1007_s11269-021-02943-y.html
   My bibliography  Save this article

Identifying the Drought Impact Factors and Developing Drought Scenarios Using the DSD Model

Author

Listed:
  • Soyeon Lim

    (Korea University)

  • Seungyub Lee

    (Hannam University)

  • Donghwi Jung

    (Korea University)

Abstract

Droughts have become increasingly severe and frequent due to climate change. Droughts cause water scarcity and various socio-economic issues. Therefore, it is necessary to address drought conditions water resource management policies. The drought characteristics within each administrative division need to be closely analyzed to support effective policy-making. A drought impact factor analysis using a drought scenario development (DSD) model, is presented in this study. The DSD model identifies the drought impact factor for each administrative division through the relationship between various hydrometeorological factors and drought indices, and constructs a drought scenario. The proposed model was applied to 167 administrative divisions in South Korea. Hydrological factors significantly impact droughts than meteorological factors in South Korea. Identified drought impact factors are analyzed based on spatio-temporal variability to recognize the features in various aspects of droughts. Changes in water demand and severe drought periods were considered for temporal variability. Administrative divisions were grouped into four zones based on the type of water demand, and zonally analyzed to examine spatial variability. Finally, a drought scenario based on the identified drought impact factor was constructed to present the probable drought conditions. Components of the drought scenario represent the constitution of water resources within an administrative division, and high and low levels of each component were combined. The constructed drought scenarios facilitate effective policy-making for managing water resources.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:14:d:10.1007_s11269-021-02943-y
    DOI: 10.1007/s11269-021-02943-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-021-02943-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-021-02943-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. George Tsakiris, 2017. "Drought Risk Assessment and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3083-3095, August.
    2. Anurag Malik & Anil Kumar & Rajesh P. Singh, 2019. "Application of Heuristic Approaches for Prediction of Hydrological Drought Using Multi-scalar Streamflow Drought Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3985-4006, September.
    3. Giovana Cristina Santos Medeiros & Adelena Gonçalves Maia & Joana Darc Freire Medeiros, 2019. "Assessment of Two Different Methods in Predicting Hydrological Drought from the Perspective of Water Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(5), pages 1851-1865, March.
    4. Jenq-Tzong Shiau & Hsu-Hui Wen & I-Wen Su, 2021. "Comparing Optimal Hedging Policies Incorporating Past Operation Information and Future Hydrologic Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2177-2196, May.
    5. Martins, Minella A. & Tomasella, Javier & Rodriguez, Daniel A. & Alvalá, Regina C.S. & Giarolla, Angélica & Garofolo, Lucas L. & Júnior, José Lázaro Siqueira & Paolicchi, Luis T.L.C. & Pinto, Gustavo , 2018. "Improving drought management in the Brazilian semiarid through crop forecasting," Agricultural Systems, Elsevier, vol. 160(C), pages 21-30.
    6. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    7. Luis Garrote & Francisco Martin-Carrasco & Francisco Flores-Montoya & Ana Iglesias, 2007. "Linking Drought Indicators to Policy Actions in the Tagus Basin Drought Management Plan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 873-882, May.
    8. Wei Pei & Qiang Fu & Dong Liu & Tianxiao Li & Kun Cheng & Song Cui, 2019. "A Novel Method for Agricultural Drought Risk Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2033-2047, April.
    9. Rajendra Pandey & Ashish Pandey & Ravi Galkate & Hi-Ryong Byun & Bimal Mal, 2010. "Integrating Hydro-Meteorological and Physiographic Factors for Assessment of Vulnerability to Drought," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4199-4217, December.
    10. 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.
    11. 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.
    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. 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.
    3. E. Preziosi & A. Bon & E. Romano & A. Petrangeli & S. Casadei, 2013. "Vulnerability to Drought of a Complex Water Supply System. The Upper Tiber Basin Case Study (Central Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4655-4678, October.
    4. 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.
    5. Fengjie Gao & Si Zhang & Rui Yu & Yafang Zhao & Yuxin Chen & Ying Zhang, 2023. "Agricultural Drought Risk Assessment Based on a Comprehensive Model Using Geospatial Techniques in Songnen Plain, China," Land, MDPI, vol. 12(6), pages 1-19, June.
    6. Robinson Ploszai & Miriam Rita Moro Mine & Daniel Henrique Marco Detzel, 2022. "An Analysis of Non-stationary Drought Conditions in Parana State Based on Climate Change Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3401-3415, August.
    7. Ionuţ Minea & Marina Iosub & Daniel Boicu, 2022. "Multi-scale approach for different type of drought in temperate climatic conditions," 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(2), pages 1153-1177, January.
    8. 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.
    9. Davar Khalili & Tohid Farnoud & Hamed Jamshidi & Ali Kamgar-Haghighi & Shahrokh Zand-Parsa, 2011. "Comparability Analyses of the SPI and RDI Meteorological Drought Indices in Different Climatic Zones," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1737-1757, April.
    10. Divya Saini & Omvir Singh & Tejpal Sharma & Pankaj Bhardwaj, 2022. "Geoinformatics and analytic hierarchy process based drought vulnerability assessment over a dryland ecosystem of north-western 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. 114(2), pages 1427-1454, November.
    11. Farshad Ahmadi & Saeid Mehdizadeh & Babak Mohammadi, 2021. "Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4127-4147, September.
    12. Saeed Azimi & Erfan Hassannayebi & Morteza Boroun & Mohammad Tahmoures, 2020. "Probabilistic Analysis of Long-Term Climate Drought Using Steady-State Markov Chain Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4703-4724, December.
    13. G. Tsakiris & I. Nalbantis & H. Vangelis & B. Verbeiren & M. Huysmans & B. Tychon & I. Jacquemin & F. Canters & S. Vanderhaegen & G. Engelen & L. Poelmans & P. Becker & O. Batelaan, 2013. "A System-based Paradigm of Drought Analysis for Operational Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5281-5297, December.
    14. Abdol Rassoul Zarei & Mohammad Reza Mahmoudi & Mohammad Mehdi Moghimi, 2023. "Determining the most appropriate drought index using the random forest algorithm with an emphasis on agricultural drought," 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. 115(1), pages 923-946, January.
    15. Vinit Jain & R. Pandey & Manoj Jain, 2015. "Spatio-temporal assessment of vulnerability to drought," 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. 76(1), pages 443-469, March.
    16. Jenq-Tzong Shiau & Jia-Wei Lin, 2016. "Clustering Quantile Regression-Based Drought Trends in Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1053-1069, February.
    17. Zhenya Li & Zulfiqar Ali & Tong Cui & Sadia Qamar & Muhammad Ismail & Amna Nazeer & Muhammad Faisal, 2022. "A comparative analysis of pre- and post-industrial spatiotemporal drought trends and patterns of Tibet Plateau using Sen slope estimator and steady-state probabilities of Markov Chain," 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. 113(1), pages 547-576, August.
    18. Panagiotis D. Oikonomou & Christos A. Karavitis & Demetrios E. Tsesmelis & Elpida Kolokytha & Rodrigo Maia, 2020. "Drought Characteristics Assessment in Europe over the Past 50 Years," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4757-4772, December.
    19. Abdelaaziz Merabti & Mohamed Meddi & Diogo S. Martins & Luis S. Pereira, 2018. "Comparing SPI and RDI Applied at Local Scale as Influenced by Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1071-1085, February.
    20. Abdelaaziz Merabti & Diogo S. Martins & Mohamed Meddi & Luis S. Pereira, 2018. "Spatial and Time Variability of Drought Based on SPI and RDI with Various Time Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1087-1100, February.

    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:spr:waterr:v:35:y:2021:i:14:d:10.1007_s11269-021-02943-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.