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A Method for Evaluating Sea Dike Safety

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  • Huaizhi Su
  • Peng Qin
  • Zhihai Qin

Abstract

To implement the maintenance and management of the sea dike engineering, the qualitative factors and quantitative factors need to be combined to evaluate the sea dike safety. Firstly, the evaluation index system and evaluation grading criterions of sea dike safety are established. Secondly, a new weight structure of evaluation indexes is proposed to combine the subjective weight and objective weight. Fuzzy Analytic Hierarchy Process method is used to determine the subjective weight and implement the qualitative analysis for sea dike safety. Projection Pursuit algorithm is introduced to calculate the objective weight and implement the quantitative analysis for sea dike safety. Based on the minimum relative information entropy principle, above two weights are combined. Thirdly, an evaluation model of sea dike safety is built with the improved Set Pair Analysis method. Finally, the proposed analysis method is used to assess one sea dike safety in China. It is shown that the combined weight can describe both the subjective information of expert experience and objective variation information of samples values, the uncertainty of information can be handled by the improved Set Pair Analysis method. The evaluation model has the clear physical concepts and intuitive modeling process. The calculation result is reasonable. The proposed method can be applied to sea dike safety evaluation and other complex systems evaluation as well. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Huaizhi Su & Peng Qin & Zhihai Qin, 2013. "A Method for Evaluating Sea Dike Safety," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5157-5170, December.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:15:p:5157-5170
    DOI: 10.1007/s11269-013-0459-0
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    References listed on IDEAS

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    1. Shun-Jiu Wang & Chang-Jian Ni, 2008. "Application of Projection Pursuit Dynamic Cluster Model in Regional Partition of Water Resources in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1421-1429, October.
    2. Huaizhi Su & Zhiping Wen & Zhongru Wu, 2011. "Study on an Intelligent Inference Engine in Early-Warning System of Dam Health," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1545-1563, April.
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    Citations

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    Cited by:

    1. Maren Duvendack, 2022. "Payment‐by‐results for health interventions in low‐ and middle‐income countries: A critical review," Development Policy Review, Overseas Development Institute, vol. 40(1), January.
    2. Geneviève Robert, 2015. "Implementation of a process continuous improvement in the MSHS services [Mise en place d'une démarche d'amélioration continue dans les services de la Maison des Sciences de l'Homme et de la Société," Working Papers hal-01338880, HAL.
    3. Edmundas Kazimieras Zavadskas & Valentinas Podvezko, 2016. "Integrated Determination of Objective Criteria Weights in MCDM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 267-283, March.
    4. Huaizhi Su & Meng Yang & Zhiping Wen, 2015. "Multi-Layer Multi-Index Comprehensive Evaluation for Dike Safety," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4683-4699, October.
    5. Geneviève Robert, 2015. "Implementation of a process continuous improvement in the MSHS services [Mise en place d'une démarche d'amélioration continue dans les services de la Maison des Sciences de l'Homme et de la Société," Post-Print hal-01338880, HAL.
    6. 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.
    7. Zenonas Turskis & Nikolaj Goranin & Assel Nurusheva & Seilkhan Boranbayev, 2019. "A Fuzzy WASPAS-Based Approach to Determine Critical Information Infrastructures of EU Sustainable Development," Sustainability, MDPI, vol. 11(2), pages 1-25, January.

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