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| DOI：10.13522/j.cnki.ggps.2021412 |
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| An Improved Three-layer Analytic Hierarchy Process Model for Assessing Construction of Farmland Irrigation Canals in Tailings of Sand Mining |
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CUI Hongyan, ZHANG Endian, WANG Zhipeng, LI Qingfu
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1. Phase II Project Construction Administration of Zhaokou Yellow River Diversion Irrigation District, Henan Province,
Kaifeng 475000, China; 2. School of Hydraulic Science and Engineering, Zhengzhou University, Zhengzhou 450000, China
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| Abstract: |
| 【Objective】 Constructing hydraulic engineering projects in tailings of sand mining faces many challenges that are absent in other areas. This paper presents a method to evaluate the risk and feasibility of building farmland irrigation channels in such regions.【Method】 We consider 13 indicators in the evaluation, including goaf risk, external risk, sand mining area risk and channel internal risk. A three -layer analytic hierarchy process (AHP) method based on cloud model is proposed to calculate the evaluation. The results are compared with those calculated using traditional matter-element risk assessment method.【Result】Goaf and sand mining area risks should receive more attention, particularly the time of mining termination and the distance between the mining area and the slope of the channels to be constructed. One-way factor risk assessment shows that the impact of the buried depth of the goaf and the cohesive force of the foundation soil are important factors to be considered. Assessing all risks and having mitigation plans in place is essential before the construction.【Conclusion】Compared with traditional methods, the proposed method is more objective, accurate, and applicable. It will play an important role in helping design farmland irrigation canals in or in proximity to tailings of mining. |
| Key words: “3-scale”; cloud-based AHP; cloud-based matter-elements; farmland irrigation canal; goaf area; sand mining area; risk assessment |
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