IDEAS home Printed from https://ideas.repec.org/a/caa/jnlswr/v13y2018i4id158-2017-swr.html
   My bibliography  Save this article

Fuzzy AHP for drought risk assessment in Lam Ta Kong watershed, the north-eastern region of Thailand

Author

Listed:
  • Saowanee WIJITKOSUM

Abstract

Droughts occur from a combination of natural factors and human activities rather than just a single natural cause. Spatial factors have also heavily influenced the causes of draught. This study was conducted in the Lam Ta Kong watershed, Thailand. In this study, the Fuzzy Analytic Hierarchy Process (FAHP) method was applied to evaluate the risk of agricultural drought and the GIS technique was employed to give full consideration to the ambiguity and uncertainty of the agricultural drought risk. There are five risk factors to consider in the agricultural drought risk assessment and they are divided in a total of fifteen criteria: physical factors (slope gradient and elevation), climatic (rainfall and aridity index), soil (texture, drainage, fertility, erosion, and soil salinity), land utilization (land use and land cover) and water resources (precipitation days, stream density, distance from an irrigation canal, and groundwater volume). These criteria determine the weight and score used to evaluate their parental risk factors. The Analytic Hierarchy Process (AHP) was applied together with the triangular fuzzy numbers (TFNs) method to assess the data obtained from the criteria to achieve the drought risk assessment. The results indicated that the overall risk of the Lam Ta Kong area was at a moderate risk of agricultural drought (50.45%), of which 15.63% of the total area was at a high risk of agricultural drought. Moreover, 0.40% of the total area located at the central part of the watershed was at a very high risk which was due to its saline soil with > 50% dense salt crust. This research indicated that the major factors causing droughts in the watershed were related to the soil factors, especially soil texture, soil fertility and soil salinity. These soil factors were considered as the driving factors of drought. The results of this study can be used for land use planning and water resource management in order to prepare for droughts in the watershed.

Suggested Citation

  • Saowanee WIJITKOSUM, 2018. "Fuzzy AHP for drought risk assessment in Lam Ta Kong watershed, the north-eastern region of Thailand," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 13(4), pages 218-225.
    • Handle: RePEc:caa:jnlswr:v:13:y:2018:i:4:id:158-2017-swr
    DOI: 10.17221/158/2017-SWR
    as

    Download full text from publisher

    File URL: http://swr.agriculturejournals.cz/doi/10.17221/158/2017-SWR.html
    Download Restriction: free of charge
    File URL: http://swr.agriculturejournals.cz/doi/10.17221/158/2017-SWR.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/158/2017-SWR?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. Xiao-ling Yang & Jie-hua Ding & Hui Hou, 2013. "Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis," 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. 68(2), pages 657-674, September.
    2. Peter M. Cox & Phil P. Harris & Chris Huntingford & Richard A. Betts & Matthew Collins & Chris D. Jones & Tim E. Jupp & José A. Marengo & Carlos A. Nobre, 2008. "Increasing risk of Amazonian drought due to decreasing aerosol pollution," Nature, Nature, vol. 453(7192), pages 212-215, May.
    3. Saowanee WIJITKOSUM, 2012. "Impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 7(1), pages 10-17.
    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. Shanshan Hu & Xiangjun Cheng & Demin Zhou & Hong Zhang, 2017. "GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District, Beijing," 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. 87(3), pages 1525-1543, July.
    2. Heloisa Ruivo & Gilvan Sampaio & Fernando M. Ramos, 2014. "Knowledge extraction from large climatological data sets using a genome-wide analysis approach: application to the 2005 and 2010 Amazon droughts," Climatic Change, Springer, vol. 124(1), pages 347-361, May.
    3. Abdulwaheed Tella & Abdul-Lateef Balogun, 2020. "Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria," 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. 104(3), pages 2277-2306, December.
    4. Thiago B. Murari & Aloisio S. Nascimento Filho & Marcelo A. Moret & Sergio Pitombo & Alex A. B. Santos, 2020. "Self-Affine Analysis of ENSO in Solar Radiation," Energies, MDPI, vol. 13(18), pages 1-17, September.
    5. Yanfeng Wang & Ping Huang, 2022. "Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. Ali Azarnivand & Arash Malekian, 2016. "Analysis of Flood Risk Management Strategies Based on a Group Decision Making Process via Interval-Valued Intuitionistic Fuzzy Numbers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1903-1921, April.
    7. Yu Duan & Junnan Xiong & Weiming Cheng & Nan Wang & Yi Li & Yufeng He & Jun Liu & Wen He & Gang Yang, 2022. "Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region," 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 269-294, January.
    8. Yangfan Xiao & Shanzhen Yi & Zhongqian Tang, 2018. "A Spatially Explicit Multi-Criteria Analysis Method on Solving Spatial Heterogeneity Problems for Flood Hazard Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3317-3335, August.
    9. Kadriye Burcu Yavuz Kumlu & Şule Tüdeş, 2019. "Determination of earthquake-risky areas in Yalova City Center (Marmara region, Turkey) using GIS-based multicriteria decision-making techniques (analytical hierarchy process and technique for order pr," 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. 96(3), pages 999-1018, April.
    10. Arce, G.L.A.F. & Carvalho, J.A. & Nascimento, L.F.C., 2014. "A time series sequestration and storage model of atmospheric carbon dioxide," Ecological Modelling, Elsevier, vol. 272(C), pages 59-67.
    11. Ireneusz Laks & Zbigniew Walczak, 2020. "Efficiency of Polder Modernization for Flood Protection. Case Study of Golina Polder (Poland)," Sustainability, MDPI, vol. 12(19), pages 1-27, September.
    12. María Isabel DELGADO & Fernanda Julia GASPARI & Eduardo Emilio KRUSE, 2015. "Land use changes and sediment yield on a hilly watershed in Central-East Argentina," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(3), pages 189-197.
    13. Kerim Koc & Zeynep Işık, 2020. "A multi-agent-based model for sustainable governance of urban flood risk mitigation measures," 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. 104(1), pages 1079-1110, October.
    14. Shubham Gupta & Raghav Khanna & Pranay Kohli & Sarthak Agnihotri & Umang Soni & M. Asjad, 2023. "Risk evaluation of electric vehicle charging infrastructure using Fuzzy AHP – a case study in India," Operations Management Research, Springer, vol. 16(1), pages 245-258, March.
    15. Guangpeng Wang & Yong Liu & Ziying Hu & Yanli Lyu & Guoming Zhang & Jifu Liu & Yun Liu & Yu Gu & Xichen Huang & Hao Zheng & Qingyan Zhang & Zongze Tong & Chang Hong & Lianyou Liu, 2020. "Flood Risk Assessment Based on Fuzzy Synthetic Evaluation Method in the Beijing-Tianjin-Hebei Metropolitan Area, China," Sustainability, MDPI, vol. 12(4), pages 1-30, February.
    16. Julio PÉREZ-SÁNCHEZ & Javier SENENT-APARICIO, 2016. "Estimating rainfall erositivity in semiarid regions. Comparison of expressions and parameters using data from the Guadalentín Basin (SE Spain)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(2), pages 75-82.
    17. Naomi Vaughan & Timothy Lenton, 2011. "A review of climate geoengineering proposals," Climatic Change, Springer, vol. 109(3), pages 745-790, December.
    18. Qiang Zou & Li Liao & Hui Qin, 2020. "Fast Comprehensive Flood Risk Assessment Based on Game Theory and Cloud Model Under Parallel Computation (P-GT-CM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1625-1648, March.
    19. Anthony I. IWARA, 2014. "Evaluation of the variability in runoff and sediment loss in successional fallow vegetation of Southern Nigeria," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 9(2), pages 77-82.
    20. Enliang Guo & Jiquan Zhang & Xuehui Ren & Qi Zhang & Zhongyi Sun, 2014. "Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, 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(2), pages 947-965, November.

    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:caa:jnlswr:v:13:y:2018:i:4:id:158-2017-swr. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.