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    辽宁抚顺清原县河道堤防现状及治理对策分析

    Analysis of the current status and treatment measures for river embankments in Qingyuan County, Fushun City, Liaoning Province

    • 摘要: 以辽宁省抚顺市清原满族自治县(以下简称清原县)为例,系统分析了全县河道堤防的结构现状与存在问题。清原县堤防总长度约185.6 km,其中设计标准达20年一遇的河段占比42.3%,仍有57.7%的中小河段设计标准偏低。采用层次分析法(AHP)与模糊综合评价模型(FCE)对堤防稳定性进行定量分析,结果显示典型堤段综合稳定性指数为0.68~0.85,整体等级为“良”;柳河下游与柴河城镇段治理优先指数最高(0.22~0.23),为重点治理区。进一步运用耦合协调模型(CCM)分析防洪安全、生态功能与经济投入的协调关系,计算得到协调度为0.76~0.89,平均值0.82,处于“良好协调”状态。针对局部渗漏、护坡冲蚀及生态退化问题,提出“反滤层+防渗墙”加固、“生态袋+格宾石笼(双绞合六边形钢丝网石笼)”柔性护坡及信息化监测平台等综合治理措施。研究成果可为区域堤防治理优先序确定与生态防洪体系建设提供量化依据。

       

      Abstract: Taking Qingyuan Manchu Autonomous County(hereinafter referred to as Qingyuan County) in Fushun City, Liaoning Province as an example, the structural status and existing problems of river embankments in the county were systematically analyzed. The total length of the embankments in Qingyuan County is about 185.6 km, of which 42.3% of the river sections meet the design standard of a 20-year return period, and 57.7% of the small and medium-sized river sections still have low design standards. Using the Analytic Hierarchy Process(AHP) and Fuzzy Comprehensive Evaluation(FCE) models, the stability index(S) of typical embankments was found to range from 0.68 to 0.85, corresponding to an overall rating of “Good.” The Governance Priority Index(GPI) of the downstream Liuhe River and Chaihe Town sections was highest(0.22~0.23), indicating areas requiring prioritized management. Further analysis using the Coupling Coordination Model(CCM) revealed coordination degrees(D) between 0.76 and 0.89, with an average of 0.82, indicating a “Well-Coordinated” relationship among flood safety, ecological function, and economic input. Based on these findings, integrated engineering and non-engineering measures such as the “filter layer + cutoff wall” strengthening method,“ecobag + gabion cage(double-twisted hexagonal wire mesh gabion)” flexible slope protection, and digital monitoring platform are proposed. The results provide a quantitative reference for determining management priorities and developing sustainable eco-flood control systems.

       

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