首页|基于建筑高度和地层厚度的城市地下空间占用深度快速评估方法——以杭州市为例

基于建筑高度和地层厚度的城市地下空间占用深度快速评估方法——以杭州市为例

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城市高密度的建筑物事实上占据了位于其下部一定深度的地下空间资源,其占用深度对城市地下空间(UUS)网络化开发具有重要影响,因此,在UUS规划前,需要掌握规划范围内地下空间占用深度和空间分布格局。UUS占用深度除地下建筑物深度外还包括下部地基持力层深度,其与建筑高度和场地地质条件相关。笔者等提出基于建筑高度和地层厚度的UUS占用深度快速评估方法,以杭州主城区为研究对象,通过实测建筑高度数据和收集建筑基础数据建立评估数学模型,利用百度建筑数据和杭州三维地质模型生成的地层厚度数据,并基于GIS平台的空间分析,实现了对杭州市主城区建筑地下空间占用深度的快速评估。研究成果为城市地下空间规划所需的大范围地下空间占用情况提供了高效的评估手段。
Rapid assessment of the occupancy depth of urban underground space based on building height and stratum thickness
Objectives:The high-density buildings in urban areas actually occupy the underground space resource at a certain depth below them.The occupancy depth has a significant impact on the interconnected development of urban underground space(UUS).Therefore,it is imperative to ascertain the occupancy depth and spatial distribution prior to UUS planning.The occupancy depth of UUS corresponds to the depth of the foundational load-bearing stratum,and is contingent upon factors such as building height and the geological characteristics of the site.In this paper,a rapid assessment methodology for determining the occupancy depth of UUS based on building height and stratum thickness was proposed and applied to the study area of Hangzhou main urban area.Firstly,the mathematical assessment model was formulated employing building height data from surveys and collected foundation data.Subsequently,the rapid assessment of occupancy depth of UUS in Hangzhou main urban area was achieved by the GIS-based spatial analysis using the building data sourced from Baidu and the stratum thickness data generated by Hangzhou's 3D geological model.The research results can provide an effective method of assessing the large-scale UUS occupancy requisite for UUS planning endeavors.

building heightstratum thicknessurban underground spaceoccupancy depthrapid assessment model

杨洋、苏晶文、郑红军、蔡磊、蔡小虎、王睿、邢怀学、李云峰、程光华

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中国地质调查局南京地质调查中心,南京,210016

自然资源部城市地下空间探测评价工程技术创新中心,南京,210016

中南大学地球科学与信息物理学院,长沙,410083

建筑高度 地层厚度 地下空间 占用深度 快速评估模型

2025

地质论评
中国地质学会

地质论评

北大核心
影响因子:1.842
ISSN:0371-5736
年,卷(期):2025.71(1)