摘要
弄清规划中心城区岩溶发育特征及其分布规律,对于岩溶地区规划中心城区建设布局,特别是建设场地工程地质勘察具有重要的指导意义。桂林市规划中心城区,属于岩溶发育分布区。论文基于前人研究成果,采用资料收集、地面调查、高密度电法及钻探相结合的方法,开展桂林市规划中心城区岩溶地质调查,分析了岩溶发育类型与岩性及岩性组合、水文地质单元、埋藏深度及地质构造的关系,总结提出了桂林市规划中心城区岩溶发育特征及分布规律。研究表明,桂林市规划中心城区岩溶发育主要以浅表的融县组、桂林组为主,在褶皱轴部,或断层影响带内,在垂直节理裂隙和缓倾斜层面裂隙组成的裂隙系统中,岩溶发育较强;可溶岩与非可溶岩接触地段岩溶发育强;在低平谷地中的分水岭处岩溶发育亦较强烈;在水文网长期摆动的地段地面以上岩溶发育程度强烈。
Understand karst development characteristics and distribution of urban planning center,center for karst region planning urban construction layout,especially in the construction site engineering geological investigation has important guiding significance. The central urban area of Guilin city planning belongs to the karst development and distribution area. Paper based on the predecessors’ research results,using the data collection,the ground survey,the combination of high density resistivity method and drilling method,city planning and city center karst geologic survey,analyzes the types of karst development and lithology and lithologic combination, hydrogeological unit, buried depth and the relationship between the geological structure,summarizes proposes the Guilin karst development characteristics and distribution of urban planning center. The researches show that the karst development in the area is mainly composed of the shallow D3 r and D3 g. The karst development is strong such as in the fissure system of vertical joint fissure,slanted plane,the fold axis,the fault zone,contanct surface of soluble and non-soluble rock,a watershed in a low valley,and above ground in the long-period swing of the hydrologic network.
作者
江思义
吴福
刘庆超
李海良
吴莹莹
JIANG Siyi;WU Fu;LIU Qingchao;LI Hailiang;WU Yingying(The Guangxi Zhuang Autonomous Region Geological Environment MonitoringStation,Guilin,Guangxi541004,China)
出处
《中国地质灾害与防治学报》
CSCD
2019年第3期120-128,共9页
The Chinese Journal of Geological Hazard and Control
基金
中国地质调查局地质调查项目(12120114022101)
广西壮族自治区国土资源厅、桂林市人民政府地质调查项目(桂国土资办[2014]70号)
关键词
桂林市规划中心城区
岩溶地质调查
发育特征
分布规律
Guilin urban planning center
karst geological survey
development characteristics
regularity of distribution
