利用SBAS时序技术识别地热资源开采引起的地表形变

doi:10.13474/j.cnki.11-2246.2022.0041

测绘通报 ›› 2022, Vol. 0 ›› Issue (2): 43-49.doi: 10.13474/j.cnki.11-2246.2022.0041

利用SBAS时序技术识别地热资源开采引起的地表形变

李冰峰¹, 李更尔¹, 那静², 涂梨平³, 范军林³, 吴洋⁴

1. 广东省地质测绘院, 广东广州 510800;
2广东省有色金属地质局九三三队, 广东肇庆 526060;
3. 江西核工业测绘院集团有限公司, 江西南昌 330038;
4. 广州博幅信息技术有限公司, 广东广州 510650

收稿日期:2021-03-05 修回日期:2021-12-21 发布日期:2022-03-11
通讯作者: 李更尔。E-mail:158398532@qq.com
作者简介:李冰峰(1976-),男,硕士,高级工程师,主要研究方向为工程测量、不动产测绘、地理信息系统工程、摄影测量与遥感。E-mail:map@vip.163.com

Identification of surface deformation caused by geothermal resource extraction using SBAS time-series technology

LI Bingfeng¹, LI Genger¹, NA Jing², TU Liping³, FAN Junlin³, WU Yang⁴

1. Geology Surveying and Mapping Institute of Guangdong, Guangzhou 510800, China;
2. Nonferrous Metals Geological Bureau of Guangdong Province 933 Battalion, Zhaoqing 526060, China;
3. Jiangxi Nuclear Industry Surveying and Mapping Institute Group Co., Ltd., Nanchang 330038, China;
4. Guangzhou Bofu Information Technology Co., Ltd., Guangzhou 510650, China

Received:2021-03-05 Revised:2021-12-21 Published:2022-03-11

摘要/Abstract

摘要： 本文以地热资源丰富的雄安新区为研究对象，利用SBAS技术对2015年7月至2019年2月的42幅Sentinel-1区域卫星影像和2016年8月至2018年12月的10幅ALOS-2区域卫星影像进行处理，以此获取雄安新区的时间序列地表形变。研究结果表明，雄安新区整体地表沉降严重，且沉降区主要集中在雄县和容城县，其中雄县沉降最为严重，沉降中心累计沉降量超过330 mm，容城县沉降中心累计下沉量超过120 mm。结合地热井位置和地热开采历史，由时间序列分析表明，大量开采地热资源会引起地表沉降现象。

关键词: 地热, 地面沉降, SBAS技术, 雄安新区, 资源开采

Abstract: This article takes the Xiongan New Area, which is rich in geothermal resources, as the research object. Using SBAS technology to process 42 Sentinel-1 regional satellite images from July 2015 to February 2019 and 10 ALOS-2 regional satellite images from August 2016 to December 2018 to obtain the time-series surface deformation of Xiongan New Area. The results of the study show the Subsidence of Xiongan New Area is serious, and the subsidence areas are mainly concentrated in Xiong County and Rongcheng County. Among them, Xiong County has the most serious subsidence. The accumulated subsidence of the center exceeds 330 mm. The cumulative subsidence of the subsidence center in Rongcheng County exceeds 120 mm. Combining the location of geothermal wells and the history of geothermal exploitation, time-series analysis shows that large-scale exploitation of geothermal resources will cause surface subsidence.and the accumulated subsidence of the subsidence.

Key words: geothermal, ground subsidence, SBAS technology, Xiongan New Area, resource exploitation

中图分类号:

P237

李冰峰, 李更尔, 那静, 涂梨平, 范军林, 吴洋. 利用SBAS时序技术识别地热资源开采引起的地表形变[J]. 测绘通报, 2022, 0(2): 43-49.

LI Bingfeng, LI Genger, NA Jing, TU Liping, FAN Junlin, WU Yang. Identification of surface deformation caused by geothermal resource extraction using SBAS time-series technology[J]. Bulletin of Surveying and Mapping, 2022, 0(2): 43-49.

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利用SBAS时序技术识别地热资源开采引起的地表形变

Identification of surface deformation caused by geothermal resource extraction using SBAS time-series technology

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