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冷湖赛什腾山天文台工程地质选址评价
引用本文:周保,孙皓,魏赛拉加,张睿,张俊才,王栋,严慧珺,隋嘉.冷湖赛什腾山天文台工程地质选址评价[J].水文地质工程地质,2022,49(4):165-174.
作者姓名:周保  孙皓  魏赛拉加  张睿  张俊才  王栋  严慧珺  隋嘉
作者单位:1.青海省地质环境监测总站, 青海 西宁 810000
基金项目:青海省重大科技专项(2019-ZJ-A10); 青海省地质环境信息化综合平台资质项目(2021-ZJ-T08)
摘    要:青海省冷湖赛什腾山具有国际一流的光学天文观测条件,是我国光学天文发展的宝贵战略资源。围绕冷湖赛什腾山天文台建设面临的工程地质选址问题,在收集前人已开展的地质调查成果的基础上,利用遥感影像、无人机航拍、数值模拟和人工地面调查相结合的方法进行工程地质选址评价。为了确保赛什腾山已经确定的2处已建平台和2处空置平台的工程地质稳...

关 键 词:工程地质条件  区域稳定性  天文台选址  智能算法  赛什腾山
收稿时间:2021-04-30

Site selection evaluation of engineering geology of the Lenghu Saishiteng Mountain Observatory
Affiliation:1.Qinghai Institute of Geological Environment Monitoring, Xining, Qinghai 810000, China2.State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Abstract:The Lenghu Saishiteng Mountain in Qinghai Province has the international first-class optical astronomy observation conditions. It creates a major opportunity for the development of optical astronomy in China and provides a valuable strategic resource for international optical astronomy development. Closely focusing on the engineering and geological site selection problem facing the construction of the Lenghu Saishiteng Mountain Observatory, the engineering and geological site selection evaluation is carried out on the basis of extensive collection of the geological survey results obtained by previous authors, by using a combination of remote sensing images, unmanned aerial photography, numerical simulation and manual ground survey. At this stage, two constructed platforms and two vacant platforms have been identified in Mount Saishiteng. In order to ensure the stability of engineering geological conditions of the constructed platforms and vacant platforms, firstly, manual ground investigation, rock samples and 3D response of slopes of constructed platforms under simulated seismic effects are conducted to determine the stability of platforms. InSAR monitoring and analysis of terrain deformation is then used in the key working area to determine the engineering geological stability of the key working area, and the BP neural network model algorithm is finally used to evaluate the regional engineering and geological stability of the Saishiteng Mountain area. The evaluation results show that although there are faults in the two constructed platforms, the impact on the construction is relatively small; no fault fragmentation zones and fracture structures are found in and around the two vacant platforms. Suggestions are made for the construction of the observatory to minimize the placement of engineering works and important equipment in the filling area, to ensure that the slope of the filling side slope is less than the natural rest angle, and to carry out appropriate engineering treatment for the rubble soil side slopes formed by manual excavation or filling ensure engineering safety and normal use of equipment. At the same time, two recommended platforms of 4300 m and 4050 m are recommended based on the evaluation results of different levels.
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