南宁在建地铁沿线地表沉降监测
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摘要
南宁作为北部湾经济区的核心城市及中国-东盟博览会的永久举办地,正处于城市地铁修建及工程建设的高峰期。南宁位于复杂地质水文条件的南宁盆地中西部,地铁施工及运行有可能引发地表沉降等潜在风险,但关于南宁地铁修建区的沉降规律系统的认识仍十分有限。利用永久性散射体雷达干涉测量技术(Permanent Scatterers InSAR,PS-InSAR)处理54景Sentinel-1A影像,监测了2017年4月-2018年12月南宁市区地表沉降信息。结果表明,监测期内南宁地表形变速率为-23.8～9.0 mm/a,研究区大部分区域稳定,沉降点分布零星;4个重点沉降区位于蒲庙镇、九曲湾农场、江南地铁站及北湖-万秀村-虎丘一带;重点沉降区形变曲线总体上随时间变化呈现出不均匀下降;沉降成因可能与膨胀土膨胀特性、弃土滑坡、施工作业、列车流量过大及地下水位下降有关。5条地铁沉降值均属于安全范围。研究表明,南宁雨季降水丰富,地铁修建区表土以松散的第四系覆盖层为主,下伏基岩以工程力学性质存在一定不稳定性的第三系膨胀土为主,建议利用PS-InSAR技术对沉降重点区域及地铁沿线开展长期监测。
Nanning is the core city of the Beibu Gulf Economic Zone and the permanent venue of the ChinaASEAN Expo, which is undergoing the construction peak of urban subways. Nanning is located in the central and western part of the Nanning Basin, where the geological and hydrological conditions are complicated. The construction and operation of subways may cause potential risks such as surface subsidence. However, it remains understudied regarding the surface subsidence along Nanning subways. In this paper, 54 Sentinel-1 A images of Nanning city from April 2017 to December 2018 were processed by Permanent Scatterers Interferometric Synthetic Aperture Radar(PS-InSAR), and then the surface subsidence information was extracted. Results showed that the surface deformation rate was-23.8～9.0 mm/a during the monitoring period, and most of the study area was stable, and the settlement point distribution was sporadic. There were four key subsidence areas,including Pumiao Town, Jiuquwan Farm, Jiangnan Subway Station, and Beihu-Wanxiu Village-Huqiu. The deformation curve of key settlement areas showed an uneven decline trend with time; the reason causing settlement may be attributed to the expansion characteristics of expansive soil, spoil landslide, construction operation, excessive train flow, and drop in the groundwater level. The sedimentation value of the five subways were all within the safe range. The rainy season precipitation of Nanning is rich, and the topsoil of the subway construction area is mainly composed of loose Quaternary overburden, where the underlying bedrock is mainly composed of Tertiary expansive soil with certain instability of engineering mechanics. Therefore, our findings suggest that the PS-InSAR technology should be used for long-term monitoring of key settlement areas and subways of Nanning for safe metro operation.
Nanning is the core city of the Beibu Gulf Economic Zone and the permanent venue of the ChinaASEAN Expo, which is undergoing the construction peak of urban subways. Nanning is located in the central and western part of the Nanning Basin, where the geological and hydrological conditions are complicated. The construction and operation of subways may cause potential risks such as surface subsidence. However, it remains understudied regarding the surface subsidence along Nanning subways. In this paper, 54 Sentinel-1 A images of Nanning city from April 2017 to December 2018 were processed by Permanent Scatterers Interferometric Synthetic Aperture Radar(PS-InSAR), and then the surface subsidence information was extracted. Results showed that the surface deformation rate was-23.8～9.0 mm/a during the monitoring period, and most of the study area was stable, and the settlement point distribution was sporadic. There were four key subsidence areas,including Pumiao Town, Jiuquwan Farm, Jiangnan Subway Station, and Beihu-Wanxiu Village-Huqiu. The deformation curve of key settlement areas showed an uneven decline trend with time; the reason causing settlement may be attributed to the expansion characteristics of expansive soil, spoil landslide, construction operation, excessive train flow, and drop in the groundwater level. The sedimentation value of the five subways were all within the safe range. The rainy season precipitation of Nanning is rich, and the topsoil of the subway construction area is mainly composed of loose Quaternary overburden, where the underlying bedrock is mainly composed of Tertiary expansive soil with certain instability of engineering mechanics. Therefore, our findings suggest that the PS-InSAR technology should be used for long-term monitoring of key settlement areas and subways of Nanning for safe metro operation.
引文
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[2]李广宇,张瑞,刘国祥,等.Sentinel-1A TS-DInSAR京津冀地区沉降监测与分析[J].遥感学报,2018,22(4):633-646.[Li G Y, Zhang R, Liu G X, et al. Sentinel-1A TS-DInSAR settlement monitoring and analysis in beijing-tianjinhebei region[J]. Journal of Remote Sensing, 2008,22(4):633-646.]
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[5]范秋雁.膨胀岩与工程[M].北京:科学出版社,2008.[Fan Q Y. Expansive rock and engineering[M]. Beijing:Science Press, 2008.]
[6]李韵迪.南宁地铁3号线长岗路车站基坑变形特征研究[J].工程质量,2018,36(4):68-73.[Li Y D. Research on deformation characteristics of changgang road station foundation pit of nanning metro line 3[J]. Engineering Quality, 2018,36(4):68-73.]
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[10]陈成全,叶凤珍.南宁市修建地铁对南宁盆地松散岩类地下水的影响研究[J].工程建设与设计,2017(14):30-31.[Chen C Q, Ye F Z. Study on the influence of subway construction in nanning on loose rock groundwater in nanning basin[J]. Engineering Construction and Design, 2017(14):30-31.]
[11]姜伏伟,张发旺,柳林,等.南宁地铁施工降水诱发岩溶塌陷条件及安全防控措施[J].中国岩溶,2018,37(3):415-420.[Jiang F W, Zhang F W, Liu L, et al. Conditions of karst collapse induced by precipitation in nanning subway construction and safety prevention and control measures[J]. China Karst, 2018,37(3):415-420.]
[12] Ferretti A, Prati C, Rocca F. Nolinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J]. IEEE Transactions on Geosicence and Remote Sensing, 2000,38:2202-2212.
[13]刘凯斯,宫辉力,陈蓓蓓.基于InSAR数据的北京地铁6号线地面沉降监测分析[J].地球信息科学学报,2018,20(1):128-137.[Liu K S, Gong H L, Chen B B. Monitoring and analysis of ground subsidence of beijing metro line 6based on InSAR data[J]. Journal of Earth Information Science, 2018,20(1):128-137.]
[14]周玉营,陈蜜,宫辉力,等.基于时序InSAR的京津高铁北京段地面沉降监测[J].地球信息科学学报,2017,19(10):1393-1403.[Zhou Y Y, Chen M, Gong H L, et al. Monitoring of ground subsidence in beijing section of beijingtianjin high-speed railway based on time series InSAR[J].Journal of Earth Information Science, 2017,19(10):1393-1403.]
[15] Yasser M, Freek V D M, Christoph H, et al. Using PS-InSAR to detect surface deformation in geothermal areas of west java in Indonesia[J]. International Journal of Applied Earth Observation and Geoinformation, 2018(64):386-396.
[16]雷坤超,贾三满,陈蓓蓓,等.基于PS-InSAR技术的廊坊市地面沉降监测研究[J].遥感技术与应用,2013(28):1114-1119.[Lei K C, Jia S M, Chen B B, et al. Research on land subsidence monitoring in langfang city based on PSInSAR technology[J]. Remote Sensing Technology and Application, 2013(28):1114-1119.]
[17]郭山川,侯湖平,张绍良,等.时序InSAR在城市地铁工程区形变监测中的应用[J].测绘通报,2017(8):92-99.[Guo S C, Hou H P, Zhang S L, et al.Application of time series InSAR in deformation monitoring of urban subway engineering area[J]. Bulletin of Surveying and Mapping, 2017(8):92-99.]
[18]罗得把.广西南宁盆地工程地质特征浅析[J].西部交通科技,2006(5):72-74.[Luo D Z.Analysis of engineering geological characteristics of nanning basin in guangxi[J].Western Transportation Science&Technology, 2006(5):72-74.]
[19]周洪月,汪云甲,闫世勇,等.沧州地区地面沉降现状Sentinel-1A/B时序InSAR监测与分析[J].测绘通报,2017(7):89-93.[Zhou H Y, Wang Y J, Yan S Y, et al. Status of land subsidence in cangzhou area, sentinel-1A/B time series InSAR monitoring and analysis[J]. Bulletin of Surveying and Mapping, 2017(7):89-93.]
[20]张艳梅,王萍,罗想,等.利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降[J].测绘通报,2017(4):93-97.[Zhang Y M, Wang P, Luo X, et al. Surface subsidence monitoring in xi'an by sentinel-1 data and SBAS-InSAR[J]. Bulletin of Surveying and Mapping, 2017(4):93-97.]
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