SBAS-InSAR技术在天水市区地表形变监测中的应用  

Detecting ground deformation in Tianshui City based on SBAS-InSAR

作　　者：陈玺[1] 张毅[1] 陈冠[1] 孟兴民[1] 杨仲康[1] 刘林通 赵岩[1] Chen Xi, ZhangYi, Chen Guan, Meng Xing-min, Yang Zhong-kang, Liu Lin-tong, Zhao Yan(College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Chin)

机构地区：[1]兰州大学资源环境学院,兰州730000

出　　处：《兰州大学学报（自然科学版）》2018年第2期143-148,共6页Journal of Lanzhou University(Natural Sciences)

基　　金：甘肃省科技支撑计划项目(1604FKCA098);中央高校基本科研业务费专项资金项目(lzujbky-2017-ct05);中国地质调查兰州-西宁经济区综合地质调查项目(121201012000150001)

摘　　要：利用小基线集合成孔径雷达干涉测量技术,对覆盖天水市区的17景ALSO-PALSAR影像数据进行干涉处理,提取该区域2007年2月9日-2011年2月20日的地表年平均变形速率分布图,监测结果显示主城区处于基本稳定状态,变形区主要集中在市区周边区域,如皂郊镇、太京镇以及罗峪沟等地,主要的地表变形类型有滑坡、危险边坡和地面沉降等,平均变形速率为-34.0～41.6 mm/a.对研究区内6个变形区域进行实地调查并分析成因,验证了InSAR技术高精度、观测覆盖范围广的特点以及在开展区域地质灾害识别应用中的准确度,为区内地质灾害监测选点和防治提供科学依据.17 scenes of ALSO-PALSAR imaging were used to analyze the surface deformation characteristic with the small baselines subset aperture radar interferometry technique in Tianshui City. The average surface deformation rate distribution map of the study area was extracted from February 9, 2007 to February 20, 2011,it showed that the main urban area was stable, the deformation area was mainly in the surroundings of the urban area, such as Zaojiao Town, Taijing Town, and Luoyu Ravine, the main surface deformation types included landslides, potential dangerous slopes and land subsidence. The average deformation velocity was-34.0-41.6 mm/a. Field surveys were made of six deformation areas and their causes analyzed, with the result showing that InSAR is a highly accurate technology, with a wide observation coverage and accuracy in identification applications of the regional geological disasters. The research results can provide a scientific basis and reference for geological disaster monitoring and prevention in the same study area.

关 键 词：SBAS-InSAR 地表变形特征 监测 天水市 

分 类 号：P694[天文地球—地质学]