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Application of SBAS-InSAR and ARIMA Models in Monitoring Subway Line Settlement: A Case Study of Urumqi
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Wenbin DENG, Liuyang DENG, Shuaizhen CAO
Urban Rapid Rail Transit | 2025, 38(6) : 55 - 62
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Urban Rapid Rail Transit | 2025, 38(6): 55-62
• Civil Engineering Technology •
Application of SBAS-InSAR and ARIMA Models in Monitoring Subway Line Settlement: A Case Study of Urumqi
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Wenbin DENG, Liuyang DENG, Shuaizhen CAO
Affiliations
  • School of Architecture and Engineering, Xinjiang University, Urumqi 830017
Published: 2025-12-10 doi: 10.3969/j.issn.1672-6073.2025.06.008
Outline
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In order to effectively identify and prevent and control the safety hazards of ground settlement along the subway lines and surrounding areas, it is crucial to carry out systematic settlement monitoring. In this study, the spatial and temporal evolution characteristics of ground settlement in Urumqi metropolitan area, including cumulative settlement and settlement time series data, are obtained based on the small baseline set interferometry (SBAS-InSAR) technique. At the same time, the autoregressive integral sliding average (ARIMA) prediction model is combined to predict the deformation trend of the key subsidence areas, and an in-depth analysis is carried out for the typical subsidence sections along the subway line. The results of the study show that: Shayibak district, Shuimogou district, Urumqi county and the new urban area have obvious subsidence and subsidence funnel areas, and the annual subsidence in some areas reaches -31.4~-7.3 mm. the subway line 1 and 2 have obvious subsidence in some sections, and the area of subsidence area is large, which needs to be paid attention to the road section. The ARIMA model is used to predict the future 12-period data of the two settlement areas of D4 and D5 with high prediction accuracy, which can be used as a reference for later monitoring.

urban rail transit  /  InSAR  /  Xinjiang Metro  /  ARIMA model  /  predictive analysis
邓文彬, 邓刘洋, 曹帅振. SBAS-InSAR与ARIMA模型在地铁沿线沉降监测中的应用——以乌鲁木齐为例. 都市快轨交通, 2025 , 38 (6) : 55 -62 . DOI: 10.3969/j.issn.1672-6073.2025.06.008
Wenbin DENG, Liuyang DENG, Shuaizhen CAO. Application of SBAS-InSAR and ARIMA Models in Monitoring Subway Line Settlement: A Case Study of Urumqi[J]. Urban Rapid Rail Transit, 2025 , 38 (6) : 55 -62 . DOI: 10.3969/j.issn.1672-6073.2025.06.008
Year 2025 volume 38 Issue 6
75
15
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.06.008
  • Receive Date:2025-03-03
  • Online Date:2026-10-19
  • Published:2025-12-10
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  • Received:2025-03-03
  • Revised:2025-07-01
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    School of Architecture and Engineering, Xinjiang University, Urumqi 830017
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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