The Study on Land Subsidence in Kunming by Integrating PS, SBAS and DS InSAR

doi:10.11873/j.issn.1004-0323.2022.2.0460

Remote Sensing Technology and Application

2022, Vol. 37

Issue (2): 460-473 DOI: 10.11873/j.issn.1004-0323.2022.2.0460

The Study on Land Subsidence in Kunming by Integrating PS, SBAS and DS InSAR

Shipeng Guo¹(

),Wangfei Zhang²(

),Wei Kang¹,Tingwei Zhang²,Yun Li²

^1.College of Geography and Ecotourism，Southwest Forestry University，Kunming 650224，China
^2.College of Forestry，Southwest Forestry University，Kunming 650224，China

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Abstract

Time-series InSAR technology provides an effective method for monitoring and controlling land subsidence in Kunming city. However， the defects of PS-InSAR and SBAS-InSAR technology limit the monitoring accuracy， especially the low coherence of PS points caused by complex terrain. In this paper， we proposed InSAR technique combining PS， SBAS and DS to monitor the subsidence in Kunming urban area， and the results of the proposed method are compared with PS+SBAS-InSAR. The results show that the proposed method is in good agreement with the results of the Kunming subsidence rate inversion by PS+SBAS-InSAR， and the proposed method can enhance the spatial distribution density of the points in the observation area and obtain more effective surface deformation information. From the perspective of the whole study area， the subsidence rate of the urban surface of Kunming city is -22~8 mm/a， and the serious subsidence areas are concentrated in Guandu District， Xishan District and Wuhua District， and several subsidence funnels have been formed. Since 1989， Xiaobanqiao and Hewei Village are still the two most serious subsidence funnel centers， while Jiangjiaying in the northeast is the new subsidence point found in this study. Combined with the analysis of historical data， it is shown that the ground subsidence in Kunming is mainly affected by groundwater pumping， building load， engineering construction and tectonic movement of faulted basin.

Key words: Surface deformation Combining DS Kunming The subsidence funnel

Received: 24 February 2021 Published: 17 June 2022

ZTFLH:

P237

Corresponding Authors: Wangfei Zhang E-mail: gsp18360576907@163.com;mewhff@163.com

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Cite this article:

Shipeng Guo,Wangfei Zhang,Wei Kang,Tingwei Zhang,Yun Li. The Study on Land Subsidence in Kunming by Integrating PS, SBAS and DS InSAR. Remote Sensing Technology and Application, 2022, 37(2): 460-473.

URL:

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2022.2.0460 OR http://www.rsta.ac.cn/EN/Y2022/V37/I2/460

Fig.1 Study area

序列	数据时间	T/d	$B p / m$	序列	数据时间	T/d	$B p$ /m
1	2017-03-15	-576	-19.381 7	19	2018-09-18	24	-42.419 2
2	2017-04-08	-552	0.927 7	20*	2018-10-12	0	0
3	2017-05-14	-516	3.264 7	21	2018-11-17	36	-43.542 4
4	2017-06-19	-480	-31.757 5	22	2018-12-11	60	-75.667 5
5	2017-07-25	-444	-71.943 7	23	2019-01-16	96	-51.437 7
6	2017-08-18	-420	-46.929	24	2019-02-09	122	-61.734
7	2017-09-23	-384	-41.817 4	25	2019-03-29	168	-30.488 8
8	2017-10-05	-372	-32.062 4	26	2019-04-22	192	30.519 3
9	2017-11-22	-324	-3.944	27	2019-05-04	204	34.326 8
10	2017-12-16	-300	-13.059 7	28	2019-06-09	240	-143.678 2
11	2018-01-09	-276	-58.746 8	29	2019-07-03	264	-31.153 2
12	2018-02-14	-240	22.946 9	30	2019-08-08	300	-19.360 4
13	2018-03-22	-204	-167.78	31	2019-09-13	336	-78.614 4
14	2018-04-27	168	-22.75	32	2019-10-07	360	-47.098 5
15	2018-05-21	-144	-69.516	33	2019-11-24	408	-8.560 3
16	2018-06-26	-108	-14.748 9	34	2019-12-06	420	-80.196 4
17	2018-07-20	-84	-67.381 1	35	2020-01-11	456	40.489 1
18	2018-08-13	-60	-60.850 1	36	2020-02-16	492	-83.256 0

Table 1 Sentinel-1A data list

Fig.2 Temporal and spatial baseline distribution of SAR

Fig.3 The Time series InSAR flow chart

Table 2 List of time and empty baselines for two sets of data

Fig.4 Coherence comparison of different methods

Fig. 5 Phase standard deviation of PS points

Table 3 PS point phase results of the two MT-InSAR technologies

Fig. 6 Comparison of elevation corrections between the two MT-InSAR methods

Fig.7 Deformation rate results of two time series InSAR

Fig.8 Settlement amount and deformation point distribution in Xiaobanqiao and Hewei Village

Fig.9 Displacement of PS points varies with time

Fig. 10 Variation of average annual settlement rate in Hewei Village and Xiaobanqiao

Table 4 Surface settlement changes of Kunming villages in different periods （Units：mm/a）

Fig. 11 Settlement rate distribution of villages

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