摘要
【目的】研究丽江古城区金江乡境内龙开口水电站移民工程金江农田灌渠沿线边坡的稳定性。【方法】在现场详细调研的基础上,基于层次分析法和模糊综合评价,构建了包括工程地质特性、地形地貌、气象水文地质条件和人为及其他外在因素4个评价准则及14个下属指标的农田灌渠边坡稳定性评价模型。【结果】该工程项目平台开挖后安全风险等级分值为75.834,属于基本稳定风险级别,施工平台完成后灌渠开挖条件下安全风险等级分值为68.500,安全风险等级属于不稳定风险级别。【结论】根据分析结果,提出了相应的建议措施,研究成果对确保金江农田灌渠边坡稳定性及输水方案的优化具有重要意义,可为类似工程提供参考。
[Purpose]To study the stability of the slope along the Jinjiang farmland irrigation canal in Jinjiang Township,Lijiang Old Town.[Method]On the basis of detailed field investigation,based on the analytic hierarchy process and fuzzy comprehensive evaluation,four evaluation criteria and 14 low indicators including engineering geological characteristics,topography and geomorphology,meteorological and hydrogeological conditions,man-made and other external factors were constructed the evaluation model of slope stability of farmland irrigation canal.[Result]The safety risk grade score of the project after platform excavation was 75.834,which belonged to the basic stability risk level.After the construction platform was completed,the safety risk grade score under the irrigation channel excavation condition was 68.500,which belonged to the unstable risk level.[Conclusion]According to the analysis results,the corresponding suggestions and measures were put forward.The research results are of great significance to ensure the slope stability of Jinjiang irrigation canal and the optimization of water delivery scheme,which can provide reference for similar projects.
作者
郭延辉
杨溢
杨志全
孔志军
GUO Yanhui;YANG Yi;YANG Zhiquan;KONG Zhijun(Faculty of Public Safety and Emergency Management,Kunming University of Science and Technology,Kunming 650093,China;College of Civil and Architecture Engineering,Yunnan Agricultural University,Kunming 650201,China)
出处
《云南农业大学学报（自然科学版）》
CAS
CSCD
北大核心
2021年第5期905-911,共7页
Journal of Yunnan Agricultural University:Natural Science
基金
国家自然科学基金联合基金重点项目(U1502232)
国家自然科学基金项目(41402272)
云南省应用基础研究计划项目(2018FB075)
中国博士后科学基金项目(2017M620433)。
关键词
农田灌渠
边坡
稳定性
层次分析法
模糊综合评价
farmland irrigation canal
slope
stability
analytic hierarchy process
fuzzy comprehensive evaluation
