甘肃通渭黄土滑坡二维形变时序监测

时间序列合成孔径雷达干涉测量技术能有效反应滑坡形变过程。2019年9月14日，甘肃省通渭县发生山体滑坡，但该滑坡灾前是否已经发生缓慢形变以及滑坡原因值得追溯和探讨。文中基于欧洲航天局发布的哨兵一号升/降轨数据，利用SBAS-InSAR技术分析甘肃通渭滑坡灾前二维形变特征以及滑动的因素。结果表明，2018年9月—2019年9月此滑坡存在连续形变，且随时间推移形变量不断增大，因此该滑坡为非突发型事件。在滑坡发生前，垂直向与东西向上最大累计形变量分别达18.25 mm和32.85 mm。基于二维时间序列结果进行距离分析与降雨量对比分析，显示苦水河与降雨量是该滑坡发生的两大诱因。该InSAR追溯结果进一步验证了星载雷达干涉测量技术在滑坡探测方面的应用潜力，是滑坡灾前识别、预警、防灾等减灾工作的有力工具。

Time-series monitoring of two-dimensional deformation of Tongwei loess landslide in Gansu Province

The time-series synthetic aperture radar interferometry can reflect the deformation process of landslides effectively. On September 14, 2019, a landslide occurred in Tongwei County, Gansu Province. However, whether the landslide had occurred slow deformation before the disaster and the cause of the landslide are worth tracing and discussing. In this paper, based on the Sentinel1-A ascent/descent data released by the European Space Agency (ESA), the two-dimensional deformation characteristics and sliding factors before the Tongwei landslide in Gansu Province were analyzed by SBAS-InSAR technique. The results show that there is continuous deformation of the landslide from September 2018 to September 2019, and the deformation variable increases with the passage of time, so the landslide is not a sudden event. Before the landslide occurred, the maximum cumulative shape variables in the vertical direction and east-west direction were 18.25 mm and 32.85 mm respectively. Based on the results of the two-dimensional time series, the distance analysis and the comparative analysis of rainfall show that the Kushui River and rainfall are the two main inducements of the landslide. The InSAR traceback results further verify the application potential of satellite-borne radar interferometry technology in landslide detection, which is a powerful tool for landslide identification and early warning, disaster prevention, and mitigation.