基于时序InSAR技术的山体滑坡灾害监测研究

Research on the landslides disaster based on time series InSAR technique

广东省云浮地区的地形主要以丘陵山地为主,山区面积占全市面积的50%以上,构造活动强烈。加上亚热带季风气候带来的强降雨和人类不间断地在地表上活动,使得山体滑坡等自然灾害频繁发生,对当地人民的经济增长和生活质量造成了极大的威胁。研究利用小基线集(SBAS)技术,基于SENTINEL-1A数据,获取云浮地区2017—2019年的地表形变量,研究两种因素(人为活动和降水量)与山体滑坡的关系。结果表明,该区域在2017—2019年期间大部分都趋于平稳,但在强降雨季地表沉降速率会大幅增大,最大沉降速率达-30 mm/y以上。山体滑坡是自然条件和人类活动共同作用的结果,自然条件(强降雨等)为滑坡的诱因,而人类活动促进了滑坡的发生。

The topography of Yunfu area in Guangdong Province is mainly hilly and mountainous areas.The mountain area accounts for more than 50%of the city's area,and the tectonic activity is strong.Coupled with the heavy rainfall brought by the subtropical monsoon climate and uninterrupted human activities on the surface,natural disasters such as landslides frequently occur,which greatly threatens the economic growth and quality of life of our people.In this study,using the Small Baseline Set(SBAS)technology,based on the SENTINEL-1A data,the surface deformation variables of Yunfu region from 2017 to 2019 are obtained.The relationship between two factors(human activities and precipitation)and landslides are studied.Most of this area has stabilized during 2017—2019,but the surface subsidence rate will drop sharply during the heavy rainfall season,and the maximum subsidence rate will be above-30 mm/y.In addition,landslides are the result of the joint action of natural strips and human activities.Natural conditions(heavy rainfall,etc.)create the possibility of landslides,while human activities increase the possibility of landslides.