摘要
针对兰州市城区近期地表面沉降状况未知并且监测手段较少的情况,采用SBAS-InSAR技术对兰州市城区2017-2020年间地面状况进行沉降监测,并利用统计分析法、SDE法、时序分析法等方法对沉降量大小、沉降的时空变化特征以及沉降驱动力因素进行分析.结果表明:1)兰州市城区大部分区域发生了沉降,但沉降速率均较小.榆中县沉降区域最多,恒大山水城附近的物流园以及兰州资源环境职业技术学院附近平均累计沉降量较大,地质灾害防治部门应加大对上述区域的监测.2)兰州市城区地面沉降重心向黄河北岸移动,在西北-东南方向上有明显的方向性,沉降速率与累计沉降量有进一步加大的趋势.3)土体类型、建筑和施工等工程效应以及降水量是影响兰州市城区沉降的主要驱动力因素.
In view of the unknown land surface subsidence status in the urban area of Lanzhou and the few monitoring methods,the SBAS-InSAR technology was used to monitor the land surface subsidence in the urban area of Lanzhou from 2017 to 2020.Statistical analysis method,SDE method,time series analysis method and other methods were used to analyze the magnitude,the temporal and spatial variation characteristics,and the driving factors of the subsidence.The results show that:1)Subsidence occurred in most urban areas of Lanzhou but the rate of subsidence was relatively small.Yuzhong County has the most subsidence area,the logistics park near Henda Waterside Town and the Lanzhou Resource&Environment Vocational and Technical College have a relatively large average cumulative subsidence.The geological disaster prevention and control department should strengthen the monitoring of the above-mentioned areas.2)The center of gravity of land subsidence in urban area of Lanzhou moves to the north bank of the Yellow River,and has obvious direction upward from northwest to southeast,and the subsidence rate and cumulative subsidence have a tendency to increase further.3)Soil type,engineering effects such as building and construction,and precipitation are the main driving factors of urban subsidence in Lanzhou.
作者
李蓉蓉
杨维芳
李得宴
LI Rong-rong;YANG Wei-fang;LI De-yan(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Nation-Local Joint EngineeringResearch Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070 China)
出处
《兰州交通大学学报》
CAS
2021年第2期29-37,共9页
Journal of Lanzhou Jiaotong University
基金
国家自然科学基金(42061076)
十三五首批国家重点研发计划课题(2016YFB0501802)
兰州交通大学优秀平台支持(201806)。
关键词
沉降监测
SBAS-InSAR技术
SDE法
时序分析法
land subsidence monitoring
small baseline subsets InSAR technology
standard deviation ellipse method
time series analysis method
