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Transforming Vulnerability Indexing for Saltwater Intrusion into Risk Indexing through a Fuzzy Catastrophe Scheme

Author

Listed:
  • Sina Sadeghfam

    (University of Maragheh)

  • Rahman Khatibi

    (GTEV-ReX Limited)

  • Rasoul Daneshfaraz

    (University of Maragheh)

  • Hamid Borhan Rashidi

    (University of Maragheh)

Abstract

Mapping vulnerability to Saltwater Intrusion (SWI) in coastal aquifers is studied in this paper using the GALDIT framework but with a novelty of transforming the concept of vulnerability indexing to risk indexing. GALDIT is the acronym of 6 data layers, which are put consensually together to invoke a sense of vulnerability to the intrusion of saltwater against aquifers with freshwater. It is a scoring system of prescribed rates to account for local variations; and prescribed weights to account for relative importance of each data layer but these suffer from subjectivity. Another novelty of the paper is to use fuzzy logic to learn rate values and catastrophe theory to learn weight values and these together are implemented as a scheme and hence Fuzzy-Catastrophe Scheme (FCS). The GALDIT data layers are divided into two groups of Passive Vulnerability Indices (PVI) and Active Vulnerability Indices (AVI), where their sum is Total Vulnerability Index (TVI) and equivalent to GALDIT. Two additional data layers (Pumping and Water table decline) are also introduced to serve as Risk Actuation Index (RAI). The product of TVI and RAI yields Risk Indices. The paper applies these new concepts to a study area, subject to groundwater decline and a possible saltwater intrusion problem. The results provide a proof-of-concept for PVI, AVI, RAI and RI by studying their correlation with groundwater quality samples using the fraction of saltwater (fsea), Groundwater Quality Indices (GQI) and Piper diagram. Significant correlations between the appropriate values are found and these provide a new insight for the study area.

Suggested Citation

  • Sina Sadeghfam & Rahman Khatibi & Rasoul Daneshfaraz & Hamid Borhan Rashidi, 2020. "Transforming Vulnerability Indexing for Saltwater Intrusion into Risk Indexing through a Fuzzy Catastrophe Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 175-194, January.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:1:d:10.1007_s11269-019-02433-2
    DOI: 10.1007/s11269-019-02433-2
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    References listed on IDEAS

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    1. Wang, Wenjun & Liu, Suling & Zhang, Shushen & Chen, Jingwen, 2011. "Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory," Ecological Modelling, Elsevier, vol. 222(2), pages 307-312.
    2. Holly A. Michael & Ann E. Mulligan & Charles F. Harvey, 2005. "Seasonal oscillations in water exchange between aquifers and the coastal ocean," Nature, Nature, vol. 436(7054), pages 1145-1148, August.
    3. Grant Ferguson & Tom Gleeson, 2012. "Vulnerability of coastal aquifers to groundwater use and climate change," Nature Climate Change, Nature, vol. 2(5), pages 342-345, May.
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    Cited by:

    1. Fatemeh Faal & Hamid Reza Ghafouri & Seyed Mohammad Ashrafi, 2022. "Monitoring and Predicting Saltwater Intrusion via Temporal Aquifer Vulnerability Maps and Surrogate Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 785-801, February.
    2. Mojgan Bordbar & Aminreza Neshat & Saman Javadi & Biswajeet Pradhan & Barnali Dixon & Sina Paryani, 2022. "Improving the coastal aquifers’ vulnerability assessment using SCMAI ensemble of three machine learning approaches," 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(3), pages 1799-1820, February.

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