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Construction Quality Evaluation of Large-Scale Concrete Canal Lining Based on Statistical Analysis, FAHM, and Cloud Model

Author

Listed:
  • Qingfu Li

    (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Lixin Guo

    (Construction Administration of The Second Phase Project of Zhaokou Irrigation District of The Yellow River in Henan Province, Kaifeng 475000, China)

  • Huade Zhou

    (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

As an important component of water conservancy infrastructure, canals help improve the uneven distribution of regional water resources. However, in their construction and operation processes, which are affected by a variety of complex factors, canal linings often produce various problems that greatly reduce their overall quality and lead to water resources being wasted. To evaluate and determine the factors and key procedures affecting the construction of concrete canal linings so as to improve their quality, an evaluation mechanism based on statistical analysis, the fuzzy attribute hierarchical model (FAHM), and the cloud model is proposed in this paper. Using this method, we first determine the problems affecting the construction quality of canal linings through statistical analysis, through establishing a questionnaire based on these factors; then, we use FAHM to identify the main quality problem factors; finally, we use the cloud model to analyze the overall construction quality of concrete canal linings. The quality evaluation and key construction procedures are determined, and a case study is conducted taking a canal lining project in China as an example, for which the final evaluation result is grade II. At the same time, a comparative study is carried out using the AHP and cloud models. The results indicate that the proposed method is more reasonable and feasible than existing methods, thus laying a foundation for the follow-up quality control of canals.

Suggested Citation

  • Qingfu Li & Lixin Guo & Huade Zhou, 2022. "Construction Quality Evaluation of Large-Scale Concrete Canal Lining Based on Statistical Analysis, FAHM, and Cloud Model," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7663-:d:845968
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    References listed on IDEAS

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    1. Khalid Almutairi & Ali Mostafaeipour & Ehsan Jahanshahi & Erfan Jooyandeh & Youcef Himri & Mehdi Jahangiri & Alibek Issakhov & Shahariar Chowdhury & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahab, 2021. "Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    2. Chin-Cheng Yang & Chih-Chien Shen & Yu-Sheng Lin & Huai-Wei Lo & Jia-Zhi Wu, 2021. "Sustainable Sports Tourism Performance Assessment Using Grey-Based Hybrid Model," Sustainability, MDPI, vol. 13(8), pages 1-24, April.
    3. Kahlown, Muhammad Akram & Kemper, W.D., 2005. "Reducing water losses from channels using linings: Costs and benefits in Pakistan," Agricultural Water Management, Elsevier, vol. 74(1), pages 57-76, May.
    4. Lund, A.A. Rehman & Martin, Chad A. & Gates, Timothy K. & Scalia, Joseph & Babar, M. Munir, 2021. "Field evaluation of a polymer sealant for canal seepage reduction," Agricultural Water Management, Elsevier, vol. 252(C).
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