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利用多源数据分析南京市河西地面沉降风险
引用本文:张彭,朱邦彦,孙静雯,王晓.利用多源数据分析南京市河西地面沉降风险[J].测绘通报,2019,0(11):141-144.
作者姓名:张彭  朱邦彦  孙静雯  王晓
作者单位:泰州市自然资源和规划局,江苏 泰州,225300;南京市测绘勘察研究院股份有限公司,江苏 南京,210019;淮海工学院测绘与海洋信息学院,江苏 连云港,222005
基金项目:国家自然科学基金(41806117);江苏省测绘地理信息科研项目(JSCHKY201909)
摘    要:地面沉降风险评价对城市公共安全具有重要意义。本文结合InSAR沉降和地质数据对南京河西地面沉降进行风险性分析。首先,利用InSAR技术获取的2012-2016年河西地区的沉降信息,结合软土层厚度、土地利用类型、地面高程和轨道交通分布信息,采用层次分析法建立三级多因子的地面沉降风险评价模型;然后,分析了河西地面沉降灾害风险程度;最后,着重分析了轨道交通的沉降风险。结果表明,河西地面沉降风险空间特征明显,高风险区主要分布于河西北部的江东街道、凤凰街道及莫愁湖街道,面积约6.4 km2,其中地铁2号线地面沉降风险较大。

关 键 词:地面沉降  风险评价  层次分析法  轨道交通  多源数据
收稿时间:2019-06-25

Risk analysis of land subsidence in Hexi area in Nanjing based on multi-source data
ZHANG Peng,ZHU Bangyan,SUN Jingwen,WANG Xiao.Risk analysis of land subsidence in Hexi area in Nanjing based on multi-source data[J].Bulletin of Surveying and Mapping,2019,0(11):141-144.
Authors:ZHANG Peng  ZHU Bangyan  SUN Jingwen  WANG Xiao
Institution:1. Taizhou Natural Resources and Planning Bureau, Taizhou 225300, China;2. NanJing Research Institute of Surveying, Mapping & Geotechnical Investiga-tion, Co., Ltd., Nanjing 210019, China;3. School of Geomatics and Marine Information, Huaihai Institute of Technology, Lianyungang 222005, China
Abstract:Risk assessment of land subsidence is of great significance to urban public safety. In this paper, InSAR subsidence, geological data are combined to evaluate the risk of land subsidence in Hexi in Nanjing. Firstly, the subsidence information obtained by InSAR is used to establish a three-level multi-factor land subsidence risk assessment system by using analytic hierarchy process(AHP) in combination with the soft soil thickness, land use type, ground elevation and rail transit distribution information. Then, the risk degree of land subsidence is analyzed. Finally, the subsidence risk of rail transit is analyzed emphatically. The results show that the spatial characteristics of land subsidence risk in Hexi are obvious. The high-risk areas are mainly distributed in Jiangdong street, Fenghuang street and Mochouhu street with an area of about 6.4 km2, among which the land subsidence risk of metro line 2 is relatively high.
Keywords:land subsidence  risk assessment  AHP  rail transit  multi-source data  
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