基于地面沉降监测的地铁运营危险性评价——以北京地铁6号线为例
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摘要
以北京市地铁6号线为研究区,采用PS-InSAR技术获取研究区地面沉降信息,揭示了线状研究区自西向东沉降速率增大的沉降空间分布特征,6号线最大年沉降速率为77.2mm/a,出现在常营-草房路段。综合考虑环境、沉降、设施、管理四方面的影响,建立沉降危险性评价指标体系,提出了结合专家打分的熵值法重要度计算方法。因建立的沉降危险性评价指标体系内部各指标间存在相互联系,采用网络层次模型确定风险因子权重,并对研究区地面沉降引发的地铁运营危险性进行分析。最后利用建立的评价模型,对2013-2015年北京地铁6号线的运营安全状况进行评估,2013-2015年6号线沿线平均运营安全计算结果分别为0.9、0.897、0.898,6号线运营的安全水平很高,符合北京地铁的运营现状。结果表明,该模型能很好地为地铁安全运营管理提供决策依据。
In this paper,the Beijing Metro Line 6 was chosen as the study area.The land subsidence was obtained by using PSInSAR technique,and the spatial distribution characteristics of subsidence in the study area were analyzed.The results show that the rate of subsidence from west to east along the Beijing Metro Line 6 is gradually increasing,and the maximum annual subsidence rate is 77.2 mm/a,which appears in the Changying-Caofang section.Considering the influence of environment,land subsidence,facilities and management,the evaluation index system of subsidence risk was established.Combining expert scoring,the entropy method was developed to calculate the weights.Because of the interrelation among various indexes in the evaluation index system of subsidence risk,the weights of risk factors were calculated by the network level model.Accordingly,the operational risk caused by land subsidence on the Beijing Metro Line 6 from 2013 to 2015 was assessed.The calculated average operating safety index was 0.9,0.897 and 0.898 for 2013,2014 and 2015,respectively.The results suggest a high level of operating safety complying with the current standards of Beijing metro lines.In summary,the information entropy-network model could provide guidance for the decision making of the safe operation and management of the Beijing metro lines.
In this paper,the Beijing Metro Line 6 was chosen as the study area.The land subsidence was obtained by using PSInSAR technique,and the spatial distribution characteristics of subsidence in the study area were analyzed.The results show that the rate of subsidence from west to east along the Beijing Metro Line 6 is gradually increasing,and the maximum annual subsidence rate is 77.2 mm/a,which appears in the Changying-Caofang section.Considering the influence of environment,land subsidence,facilities and management,the evaluation index system of subsidence risk was established.Combining expert scoring,the entropy method was developed to calculate the weights.Because of the interrelation among various indexes in the evaluation index system of subsidence risk,the weights of risk factors were calculated by the network level model.Accordingly,the operational risk caused by land subsidence on the Beijing Metro Line 6 from 2013 to 2015 was assessed.The calculated average operating safety index was 0.9,0.897 and 0.898 for 2013,2014 and 2015,respectively.The results suggest a high level of operating safety complying with the current standards of Beijing metro lines.In summary,the information entropy-network model could provide guidance for the decision making of the safe operation and management of the Beijing metro lines.
引文
[1]龚世良.上海地面沉降影响因素综合分析与地面沉降系统调控对策研究[D].上海:华东师范大学,2008.1-5.
[2]习铁宏.北京地铁劲松站暗挖施工沉降与降水沉降叠加分析及探讨[J].施工技术,2015(16):104-107.
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[4]杨子奇,葛克水,李皓,等.北京地铁九龙山—大郊亭区间隧道开挖引起的地表沉降研究[J].西部探矿工程,2016,28(6):201-203.
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[7]黄欢.基于层次模糊评价法评判地铁车站地下水风险[J].建筑施工,2014,37(3):286-289.
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[10]陈蓓蓓,宫辉力,李小娟.基于InSAR技术北京市地区地面沉降监测与风险分析[J].地理与地理信息科学,2011,27(3):16-18.
[11]刘婷婷,魏仁辉.基于多层次模糊综合评价法的地铁车站设施设备运营安全评价[J].重庆交通大学学报(自然科学版),2015,34(2):98-101.
[12]葛大庆.区域性地面沉降InSAR监测关键技术研究[D].北京:中国地质大学,2013.
[13]宫辉力,张有全,李小娟.基于永久散射体雷达干涉测量技术的北京市地区地面沉降研究[J].自然科学进展,2009,19(11):1261-1266.
[14]葛大庆,殷跃平,王艳,等.地面沉降-回弹及地下水位波动的InSAR长时序监测—以德州市为例[J].国土资源遥感,2014,26(1):103-109.
[15]FERRETTI A,PRATI C,ROCCA F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[16]陈春霞,丁小松.城市快速路的设计研究[J].交通工程与安全,2011(8):182-185.
[17]彭建伟.城市快速路改造工程中资源节约型建设方案探索与实践[J].城市道路与防洪,2011(7):25-29.
[18]杨潇,李翔宇,朱宝林.基于长期沉降运营地铁隧道健康诊断[J].沈阳建筑大学学报(自然科学版),2014,30(1):49-55.
[2]习铁宏.北京地铁劲松站暗挖施工沉降与降水沉降叠加分析及探讨[J].施工技术,2015(16):104-107.
[3]马翔旭.基于InSAR技术监测北京市地铁开发对地面沉降的影响[D].北京:首都师范大学,2013.
[4]杨子奇,葛克水,李皓,等.北京地铁九龙山—大郊亭区间隧道开挖引起的地表沉降研究[J].西部探矿工程,2016,28(6):201-203.
[5]SARYCHIKHINA O,GIOWACKA E,MELLORS R,et al.Land subsidence in the Cerro Prieto Geothermal Field,Baja California,Mexico,from 1994to 2005:An integrated analysis of D-InSAR,leveling and geological data[J].Journal of Volcanology and Geothermal Research,2011,204(1-4):76-90.
[6]缪林昌,王非,吕伟华.城市地铁隧道施工引起的地面沉降[J].东南大学学报(自然科学版),2008,28(2):293-297.
[7]黄欢.基于层次模糊评价法评判地铁车站地下水风险[J].建筑施工,2014,37(3):286-289.
[8]上官云龙,上官玉龙,李栋国.北京地铁四号线北宫门车站基坑的降水工程设计[J].长春工程学院学报(自然科学版),2011,12(3):11-13.
[9]王洪德,潘科,姜福.基于AHP的影响城市地铁运营安全的危害分析及预防对策[J].铁道学报,2007,29(2):27-31.
[10]陈蓓蓓,宫辉力,李小娟.基于InSAR技术北京市地区地面沉降监测与风险分析[J].地理与地理信息科学,2011,27(3):16-18.
[11]刘婷婷,魏仁辉.基于多层次模糊综合评价法的地铁车站设施设备运营安全评价[J].重庆交通大学学报(自然科学版),2015,34(2):98-101.
[12]葛大庆.区域性地面沉降InSAR监测关键技术研究[D].北京:中国地质大学,2013.
[13]宫辉力,张有全,李小娟.基于永久散射体雷达干涉测量技术的北京市地区地面沉降研究[J].自然科学进展,2009,19(11):1261-1266.
[14]葛大庆,殷跃平,王艳,等.地面沉降-回弹及地下水位波动的InSAR长时序监测—以德州市为例[J].国土资源遥感,2014,26(1):103-109.
[15]FERRETTI A,PRATI C,ROCCA F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[16]陈春霞,丁小松.城市快速路的设计研究[J].交通工程与安全,2011(8):182-185.
[17]彭建伟.城市快速路改造工程中资源节约型建设方案探索与实践[J].城市道路与防洪,2011(7):25-29.
[18]杨潇,李翔宇,朱宝林.基于长期沉降运营地铁隧道健康诊断[J].沈阳建筑大学学报(自然科学版),2014,30(1):49-55.