IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v152y2015icp173-187.html
   My bibliography  Save this article

Irrigation vulnerability assessment on agricultural water supply risk for adaptive management of climate change in South Korea

Author

Listed:
  • Nam, Won-Ho
  • Choi, Jin-Yong
  • Hong, Eun-Mi

Abstract

Climate change influences various environmental aspects, including those specifically related to agricultural water resources such as runoff, evapotranspiration, droughts and floods. Understanding the impact of climate change on reservoirs in relation to the passage of time is an important component of water resource management and the maintenance of a stable water supply. In different regions, changes in rainfall and hydrologic patterns due to climate change can increase the occurrences of reservoir water shortages and affect the future availability of agricultural water resources differently. It is a main concern for sustainable development in agricultural water resources management to evaluate the adaptive capability of a water supply under future climate conditions. Studies on climate change impacts and vulnerability assessments have been an essential process for preparing adaptive measures. This paper proposes a practical method to assess water supply vulnerability and sustainability in terms of climate change for the adaptive capability of agricultural reservoirs in South Korea based on a concept of probability theory and reliability analysis using time-dependent change analysis of water supply and demand. The objectives of this study were to investigate if there is evidence of climate change occurrences with respect to potential water supply capacity and irrigation water requirements; and to apply an irrigation vulnerability assessment model to assess the potential effects and predict the impacts of agricultural water demand and supply on reservoir operation to govern local water management decisions under climate variability and change. The irrigation vulnerability was estimated to evaluate the performance of water supplies in agricultural reservoirs; it is a recommended preparatory adaptive measure for developing a future water supply strategy in terms of using climate change scenarios reflecting different future conditions.

Suggested Citation

  • Nam, Won-Ho & Choi, Jin-Yong & Hong, Eun-Mi, 2015. "Irrigation vulnerability assessment on agricultural water supply risk for adaptive management of climate change in South Korea," Agricultural Water Management, Elsevier, vol. 152(C), pages 173-187.
    • Handle: RePEc:eee:agiwat:v:152:y:2015:i:c:p:173-187
    DOI: 10.1016/j.agwat.2015.01.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415000219
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2015.01.012?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. Paul C. Stern & Kristie L. Ebi & Robin Leichenko & Richard Stuart Olson & John D. Steinbruner & Robert Lempert, 2013. "Managing risk with climate vulnerability science," Nature Climate Change, Nature, vol. 3(7), pages 607-609, July.
    2. Mehta, Vishal K. & Haden, Van R. & Joyce, Brian A. & Purkey, David R. & Jackson, Louise E., 2013. "Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California," Agricultural Water Management, Elsevier, vol. 117(C), pages 70-82.
    3. Baek, C.W. & Coles, N.A., 2013. "An artificial catchment rainfall-runoff collecting system: Design efficiency and reliability potential considering climate change in Western Australia," Agricultural Water Management, Elsevier, vol. 121(C), pages 124-134.
    4. Nam, Won-Ho & Choi, Jin-Yong, 2014. "Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis," Agricultural Water Management, Elsevier, vol. 142(C), pages 115-126.
    5. Howard Kunreuther & Geoffrey Heal & Myles Allen & Ottmar Edenhofer & Christopher B. Field & Gary Yohe, 2013. "Risk management and climate change," Nature Climate Change, Nature, vol. 3(5), pages 447-450, May.
    6. Paydar, Z. & Qureshi, M.E., 2012. "Irrigation water management in uncertain conditions—Application of Modern Portfolio Theory," Agricultural Water Management, Elsevier, vol. 115(C), pages 47-54.
    7. Wu, Yiping & Chen, Ji, 2013. "Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: A case study of the Xinfengjiang reservoir in southern China," Agricultural Water Management, Elsevier, vol. 116(C), pages 110-121.
    8. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    9. T. N. Palmer & J. Räisänen, 2002. "Quantifying the risk of extreme seasonal precipitation events in a changing climate," Nature, Nature, vol. 415(6871), pages 512-514, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yining Ma & Suri Guga & Jie Xu & Yulin Su & Xingpeng Liu & Zhijun Tong & Jiquan Zhang, 2022. "Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China," Agriculture, MDPI, vol. 12(7), pages 1-20, July.
    2. Kassahun, Habtamu Tilahun & Nicholson, Charles F. & Jacobsen, Jette Bredahl & Steenhuis, Tammo S., 2016. "Accounting for user expectations in the valuation of reliable irrigation water access in the Ethiopian highlands," Agricultural Water Management, Elsevier, vol. 168(C), pages 45-55.
    3. King, Darran A. & Meyer, Wayne S. & Connor, Jeffery D., 2019. "Interactive land use strategic assessment: An assessment tool for irrigation profitability under climate uncertainty," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    4. Jaenam Lee & Hyungjin Shin & Jaekyoung Noh, 2022. "A Strategy to Quantify Water Supply of an Agricultural Reservoir for Integrated Water Management Policy," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    5. van Opstal, Jonna D. & Neale, Christopher M.U. & Hipps, Lawrence E., 2022. "Evaluating the adaptability of an irrigation district to seasonal water availability using a decade of remotely sensed evapotranspiration estimates," Agricultural Water Management, Elsevier, vol. 261(C).
    6. 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.

    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. Nam, Won-Ho & Choi, Jin-Yong, 2014. "Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis," Agricultural Water Management, Elsevier, vol. 142(C), pages 115-126.
    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.
    3. Xueke Li & Amanda H. Lynch, 2023. "New insights into projected Arctic sea road: operational risks, economic values, and policy implications," Climatic Change, Springer, vol. 176(4), pages 1-16, April.
    4. Xu, Xin & Huang, Shupei & Lucey, Brian M. & An, Haizhong, 2023. "The impacts of climate policy uncertainty on stock markets: Comparison between China and the US," International Review of Financial Analysis, Elsevier, vol. 88(C).
    5. Shadman, F. & Sadeghipour, S. & Moghavvemi, M. & Saidur, R., 2016. "Drought and energy security in key ASEAN countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 50-58.
    6. Baker, Erin & Olaleye, Olaitan & Aleluia Reis, Lara, 2015. "Decision frameworks and the investment in R&D," Energy Policy, Elsevier, vol. 80(C), pages 275-285.
    7. Xu, Qin & Fox, Glenn & McKenney, Dan & Parkin, Gary, 2019. "A theoretical economic model of the demand for irrigation water," Agricultural Water Management, Elsevier, vol. 225(C).
    8. Jonathan E. Suk & Kristie L. Ebi & David Vose & Willy Wint & Neil Alexander & Koen Mintiens & Jan C. Semenza, 2014. "Indicators for Tracking European Vulnerabilities to the Risks of Infectious Disease Transmission due to Climate Change," IJERPH, MDPI, vol. 11(2), pages 1-18, February.
    9. Cai, Yiyong & Newth, David & Finnigan, John & Gunasekera, Don, 2015. "A hybrid energy-economy model for global integrated assessment of climate change, carbon mitigation and energy transformation," Applied Energy, Elsevier, vol. 148(C), pages 381-395.
    10. Chateau, J. & Dellink, R. & Lanzi, E. & Magne, B., 2012. "Long-term economic growth and environmental pressure: reference scenarios for future global projections," Conference papers 332249, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Mattauch, Linus & Hepburn, Cameron & Stern, Nicholas, 2018. "Pigou pushes preferences: decarbonisation and endogenous values," INET Oxford Working Papers 2018-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    12. Gerald Nelson & Jessica Bogard & Keith Lividini & Joanne Arsenault & Malcolm Riley & Timothy B. Sulser & Daniel Mason-D’Croz & Brendan Power & David Gustafson & Mario Herrero & Keith Wiebe & Karen Coo, 2018. "Income growth and climate change effects on global nutrition security to mid-century," Nature Sustainability, Nature, vol. 1(12), pages 773-781, December.
    13. Nicole Costa Resende Ferreira & Jarbas Honorio Miranda, 2021. "Projected changes in corn crop productivity and profitability in Parana, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3236-3250, March.
    14. Jaewon Kwak & Huiseong Noh & Soojun Kim & Vijay P. Singh & Seung Jin Hong & Duckgil Kim & Keonhaeng Lee & Narae Kang & Hung Soo Kim, 2014. "Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea," IJERPH, MDPI, vol. 11(10), pages 1-19, October.
    15. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    16. Marcinkowski, Paweł & Piniewski, Mikołaj, 2024. "Future changes in crop yield over Poland driven by climate change, increasing atmospheric CO2 and nitrogen stress," Agricultural Systems, Elsevier, vol. 213(C).
    17. Henzler, Julia & Weise, Hanna & Enright, Neal J. & Zander, Susanne & Tietjen, Britta, 2018. "A squeeze in the suitable fire interval: Simulating the persistence of fire-killed plants in a Mediterranean-type ecosystem under drier conditions," Ecological Modelling, Elsevier, vol. 389(C), pages 41-49.
    18. Abhiru Aryal & Albira Acharya & Ajay Kalra, 2022. "Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling," Forecasting, MDPI, vol. 4(3), pages 1-22, June.
    19. Tamás Hajdu & Gábor Hajdu, 2022. "Temperature, climate change, and human conception rates: evidence from Hungary," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1751-1776, October.
    20. Meraj Sarwary & Senthilnathan Samiappan & Ghulam Dastgir Khan & Masaood Moahid, 2023. "Climate Change and Cereal Crops Productivity in Afghanistan: Evidence Based on Panel Regression Model," Sustainability, MDPI, vol. 15(14), pages 1-13, July.

    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:eee:agiwat:v:152:y:2015:i:c:p:173-187. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.