利用GACOS的小基线集地面沉降监测

Land subsidence monitoring using GACOS and small baseline subset technique

针对如何提高小基线集地面沉降监测精度的问题,该文在小基线集时序分析中使用了基于通用大气校正在线服务(GACOS)的大气相位去除方法,改进了一种基于GACOS的小基线集时序分析技术,对山东黄河三角洲地区进行了地面沉降监测。选取了覆盖研究区的上下30期共60景Sentinel-1A的SLC数据,获取了2015年7月至2017年7月黄河三角洲地区(约1.5万km^2)的沉降速率,监测结果与连续运行参考站(CORS)数据基本保持一致。结果表明:东营市广饶县、潍坊市寿光市、滨州市博兴县局部地区存在明显的沉降,其中最大的地面沉降速率可达-126 mm/a,位于石油化工业发达的广饶县石村镇;石油化工业的发展和地下水过度抽取可能对黄河三角洲地面沉降有一定的影响。

Aiming at how to improve the accuracy of land subsidence monitoring of small baseline subset technique(SBAS),the atmospheric phase removal method based on generic atmospheric correction online service for InSAR(GACOS)was used,and this paper improved a new SBAS method based on GACOS.The new method was used to monitor land subsidence in the Yellow River Delta of Shandong province.Based on 30 periods of 60 Sentinel-1 A SLC covering the study area,the subsidence rate of the Yellow River Delta(about 15000 km^2)was obtained from July 2015 to July 2017.The results were basically consistent with the continuously operating reference stations(CORS)data.The results showed that there were obvious land subsidence in Guangrao county of Dongying city,Shouguang city of Weifang city and Boxing county of Binzhou city.The largest land subsidence rate can reach to-126 mm/a,which is located in Shicun Town of Guangrao County,where the petrochemical industry is developed.The development of the petrochemical industry and the excessive groundwater extraction may have a certain impact on land subsidence in the Yellow River Delta.