岩溶塌陷研究现状及趋势分析

蒙 彦; 雷明堂

doi:10.11932/karst20190311

岩溶塌陷研究现状及趋势分析

doi: 10.11932/karst20190311

蒙彦¹,
雷明堂²

1.
中国地质大学（武汉），武汉 430074/中国地质科学院岩溶地质研究所/自然资源部、广西岩溶动力学重点实验室/中国地质调查局岩溶塌陷防治重点实验室，广西桂林 541004
2.
中国地质科学院岩溶地质研究所/自然资源部、广西岩溶动力学重点实验室/中国地质调查局岩溶塌陷防治重点实验室，广西桂林 541004

基金项目: 国家自然科学基金项目（41877300，41302255）；中国地质调查项目（1212011220192，DD20160254,DD20190266）

计量
- 文章访问数: 2162
- HTML浏览量: 662
- PDF下载量: 740
- 被引次数: 0
出版历程
- 发布日期: 2019-06-25

Analysis of situation and trend of sinkhole collapse

MENG Yan¹,
LEI Mingtang²

1.
China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China/Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR & GZAR/Key Larboratory of Karst Collapse Prevention,CGS, Guilin, Guangxi 541004, China
2.
Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR & GZAR/Key Larboratory of Karst Collapse Prevention,CGS, Guilin, Guangxi 541004, China

摘要

摘要: 为全面掌握当前国际岩溶塌陷研究动态，促进岩溶塌陷综合防治水平提升，重点从成因机制、识别评价和监测预警三个方面总结了当前国内外岩溶塌陷研究现状，以此为基础，综合运用文献和项目数据对国内外岩溶塌陷研究趋势进行了分析。结果显示：人类工程活动与岩溶环境相互作用关系是当前国际岩溶塌陷研究的热点;成因机理定量化、隐患识别快速化、监测预警精细化和风险防控时效化将是未来的重点攻关方向。
- 岩溶塌陷 /
- 现状 /
- 趋势 /
- 大数据分析
Abstract: The karst area is more than 3.4 million km2 in China, accounting for about 36% of the country’s land area, in which sinkhole collapse and associated disaster frequently occur. A comprehensive and systematic analysis of current situation and research trend of sinkhole collapse at home and abroad is of great significance to accurately grasp the current hot topics, and to carry out scientific and effective work towards the disaster prevention and reduction. In this paper, we analyzed current research status and trend in the field of sinkhole collapse at home and abroad using big data tool on three aspects, namely, genesis mechanism, identification and evaluation, as well as monitoring and early warning, based on the CNKI database, WOS database and China karst collapse investigation and research project database. The results show that in the past five years, the international research hotspot areas in relation to sinkhole collapse are mainly concentrated in Italy, the United States, China and Spain, among them Italy is the most concerned. Foreign countries pay more attention to the erosion and corrosion of groundwater to the genetic mechanism of sinkhole collapse, and the main factors considered include rainstorm, pumping, surface runoff and sewer leakage. Among them the use of advanced equipment such as centrifuge to study the causes of karst collapse is more distinctive. Domestic studies on the causes of karst collapse can be summarized into 10 models, including gravity, erosion, suction corrosion, blasting, vibration, load, dissolution, root corrosion, pressure difference and etc. Meanwhile, mechanical and mathematical methods, such as soil arch theory and numerical simulation, have been used to gradually improve the quantification study. In terms of early identification and evaluation, remote sensing and aerial geophysical exploration methods, such as geological radar, drilling radar and Light Detection and Ranging (LiDAR), have been widely used at home and abroad. In respect of the sinkhole monitoring and early-warning, geological radars are frequently used to scan regularly in foreign countries, while in China, groundwater dynamic and chemical conditions are mainly monitored. There have been successful cases at home and abroad such as optical fiber sensing, aerial geophysical prospecting and other new technologies and methods. In terms of research trends, the current international research hotspot of sinkhole collapse mainly focuses on the interaction between human engineering activities and karst environment, which is reflected in forecasting, risk management and emergency response. In terms of project support, the largest proportion of project financial support for sinkhole collapse research mainly comes from the National Natural Science Foundation of China (NSFC) and Geological Survey Project (GSP). At present, the NSFC accounts for the largest proportion at 43%, and GSP account for 39%, showing an increasing trend in GSP. To sum up, we should combine with human engineering activities and ecological environmental protection of the study of the karst collapse closely, pay close attention to hotspots area, and focus on scientific and technological research work in the aspects of quantitative genetic mechanisms, rapid identification of hidden hazards, fine monitoring and early warning, and aging of risk prevention and control.
- sinkhole collapse /
- current situation /
- trend /
- big data analysis

HTML

参考文献(56)

[1]	李大通，罗雁．中国碳酸盐岩分布面积测量［J］. 中国岩溶，1983, 2(2):147-150．
[2]	袁道先．岩溶地区的地质环境和水文生态问题［J］．南方国土资源，2003(1):22-25．
[3]	María Asunción Soriano. Sinkhole［M］. Encyclopedia of Natural Hazards. Part of the series Encyclopedia of Earth Sciences Series, 2013.
[4]	Henrik Hargitai,ákos Kereszturi. Sinkhole［M］. Encyclopedia of Planetary Landforms, 2015.
[5]	Tony WalthamFred, G Bell, Martin G Culshaw. Sinkholes and Subsidence［M］. Part of the Karst and Cavernous Rocks in Engineering and Const book series, 2005.
[6]	Malott C A. Significant features of the Indiana karst［J］.Proceedings of the Academy of Sciences of the Indiana , 1944, 54:8-24.
[7]	徐霞客. 徐霞客游记［M］.沈阳：万卷出版公司，2009.
[8]	万志清. 抽水引起岩溶塌陷的机理及非线性预测研究［D］. 北京：中科院地质与地球物理研究所，2004.
[9]	王思敬. 堤坝下的机械潜蚀及其防止方法［J］. 水文地质工程地质，1957(9):43-46.
[10]	王建秀. 铁路覆盖型岩溶发育地区工程岩土体塌陷稳定性研究及可视化专家系统［D］. 成都：西南交通大学，1999.
[11]	Mingtang Lei, Yongli Gao, Xiaozhen Jiang. Current Status and Strategic Planning of Sinkhole Collapses in China［J］. Engineering Geology for Society and Territory,2015,5:529-533.
[12]	康彦仁．岩溶塌陷的形成机制［J］. 广西地质，1989,2(2):83-90.
[13]	王建秀，杨立中，何静. 岩溶塌陷演化过程中的水-土-岩相互作用分析［J］. 西南交通大学学报,2001,36(3):314-317.
[14]	杜正民，吴光明，洪亮. 潜蚀作用导致岩溶塌陷地质灾害的实例分析［J］. 水文地质与工程地质，2007,34(3):89-92.
[15]	Lucha P, Cardona F, Gutiérrez F,et al. Natural and human-induced dissolution and subsidence processes in the salt outcrop of the Cardona Diapir (NE Spain) ［J］. Environmental Geology，2008, 53(5): 1023-1035.
[16]	徐卫国. 试论岩溶矿区地面塌陷的真空吸蚀作用［J］. 地质论评，1981, 27(2):12-15.
[17]	Rinaldi M, Casagli N. Stability of streambanks in partially saturated soils and effects of negative pore water pressures: the Sieve River［J］. Geomorphology，1999, 26(4): 253-277.
[18]	T Tharp. Poroelastic analysis of cover-collapse sinkhole formation by piezometric surface drawdown［J］. Environmental Geology, 2002, 42(5):447-456.
[19]	Fares M Howari, Raed Aldouri, Abdulali Sadiq. Gravity investigations of recent sinkholes and karst pits of Dahal Al-Hamam, State of Qatar［J］. Environmental Earth Sciences, 2016, 75(5):440.
[20]	Yan Meng, Ming-Tang Lei, Yu-Shan Lin, et al. Models and mechanisms of drilling-induced sinkhole in China［J］. Environmental Earth Sciences, 2012, 67(7):1961-1969.
[21]	Zhanfei Gu, Qi Liu, Yaoru Lu, et al. Analysis and prevention of sinkhole collapses during the reconstruction and extension of Guang-Qing freeway, china［J］. Environmental Earth Sciences, 2016, 75(9):788.
[22]	王建秀，杨立中，刘丹. 覆盖型岩溶区土体塌陷典型数学模型的研究［J］.中国地质灾害与防治学报，1998，9(3)：53-59.
[23]	程星，黄润秋，徐佩华. 岩溶气爆塌陷的数学模型探讨［J］. 成都理工学院学报，2002，29(6):686-689.
[24]	王滨，李治广，董昕，等. 岩溶塌陷的致塌力学模型研究：以泰安市东羊娄岩溶塌陷为例［J］. 自然灾害学报，2011，20(4):119-125.
[25]	贾龙，蒙彦，管振德. 岩溶土洞演化及其数值模拟分析［J］. 中国岩溶，2014，33(3):294-298.
[26]	金晓文，陈植华，曾斌，等. 岩溶塌陷机理定量研究的初步思考［J］. 中国岩溶，2013，32(4): 437-446.
[27]	王滨，贺可强. 岩溶塌陷临界土洞的极限平衡高度公式［J］. 岩土力学，2006，27(3):458-462.
[28]	Yan Meng, Ming-Tang, LeiYu-Shan, et al. Models and mechanisms of drilling-induced sinkhole in China［J］. Environmental Earth Sciences,2012,67(7):1961-1969.
[29]	Richard C Benson，Lynn B Yuhr. Triggering Mechanisms for Sinkholes［M］. Site Characterization in Karst and Pseudokarst Terraines, Springer, Dordrecht, 2016.
[30]	Tihansky A B. Sinkholes, west-central Florida［M］. In:Galloway Det al (eds) Land subsidence in the United States. USGS Circular1182, Reston, Virginia, 1999.
[31]	Hunt R E. Geotechnical engineering investigation handbook,Second edition［J］. Environmental&Engineering Geoscience,2006,12(1):84-85.
[32]	Giampaolo V,Capozzoli L,Grimaldi S,et al.Sinkhole risk assessment by ERT:The case study of Sirino Lake(Basilicate,Italy)［J］.Geomorphology,2016,253:1-9.
[33]	Tihansky A B.Sinkholes, west-central Florida. In: Galloway D, Jones DR, Ingebritsen SE (eds) Land subsidence in the United States. US Geol Surv Circ 1182,1999:121-140.
[34]	Eve L Kuniansky1,David J Weary, James E Kaufmann. The current status of mapping karst areas and availability of public sinkhole-risk resources in karst terrains of the United States［J］. Hydrogeology Journal,2016,24(3):613-624.
[35]	Waleed A Abdulla, Deborah J Goodings. Modeling of Sinkholes in Weakly Cemented Sand［J］. Journal of Geotechnical Engineering, 1996, 122(22):988-997.
[36]	C Van Dyk, S W Jacobsz. The behaviour of a reinforced soil mattress spanning a cavity modelled in a geotechnical centrifuge［J］. Geotechnical and Geological Engineering, 2016,34(5):1345-1358.
[37]	Qiusheng Wu, Chengbin Deng, Zuoqi Chen. Automated delineation of karst sinkholes from LiDAR-derived digital elevation models［J］. Geomorphology, 2016, 266:1-10.
[38]	Emanuele Intrieri, Giovanni Gigli, Massimiliano Nocentini, et al. Sinkhole monitoring and early warning: An experimental and successful GB-InSAR application［J］. Geomorphology, 2015, 241(15):304-314.
[39]	Dobecki T L, Upchurch S B. Applications to detect sinkholes and ground subsidence［J］. Lead Edge, 2006, 25(3):336-341.
[40]	G Ezersky, L V Eppelbaum, A Al-Zoubi,et al.Geophysical prediction and following development sinkholes in two Dead Sea areas, Israel and Jordan［J］. Environmental Earth Sciences, 2013, 70(4): 1463-1478.
[41]	Awni T Batayneh, Abdelruhman A Abueladas, Khaled A Moumani. Use of groundpenetrating radar for assessment of potential sinkhole conditions: an example from Ghor al Haditha area, Jordan［J］. Environmental Geology, 2002, 41(8): 977-983.
[42]	M G Ezersky, L V Eppelbaum, A Al-Zoubi,et al. Geophysical prediction and following development sinkholes in two Dead Sea areas, Israel and Jordan［J］. Environmental Earth Sciences, 2013, 70 (4):1463-1478.
[43]	Andrzej Kotyrba，Lukasz Kortas. Sinkhole hazard assessment in the area of abandoned mining shaft basing on microgravity survey and modelling——Case study from the Upper Silesia Coal Basin in Poland［J］. Journal of Applied Geophysics, 2016, 130:62-70.
[44]	Yongli Gao，E C Alexander. Sinkhole hazard assessment in Minnesota using a decision tree model［J］. Environmental Geology,2007,54(5):945-956.
[45]	Adnan Ozdemir. Sinkhole susceptibility mapping using logistic regression in Karap?nar (Konya, Turkey) ［J］. Bulletin of Engineering Geology & the Environment,2015,75(2):681-707.
[46]	Kamal Taheria, Francisco Gutiérrez, Hassan Mohseni,et al.Sinkhole susceptibility mapping using the analytical hierarchy process (AHP) and magnitude-frequency relationships: A case study in Hamadan province, Iran［J］. Geomorphology, 2015, 234: 64-79.
[47]	包惠明，胡长顺. 岩溶塌陷两级模糊综合评判［J］. 水文地质工程地质, 2001, 44(3)：49-52.
[48]	朱庆杰,苏幼坡,刘廷全.唐山市岩溶塌陷安全评价［J］.中国安全科学学报, 2004,14(2):94-97.
[49]	高宗军，张富中，鲁峰. 山东泰安岩溶地面塌陷前兆及其预测预报［J］. 中国地质灾害与防治学报，2004,15(3):149-151.
[50]	Benson R C,Yuhr L B. Assessment and long term monitoring of localized subsidence using ground penetrating radar［J］.Land Subsidence,1987.
[51]	Francisco Gutiérrez, Jorge Pedro Galve, Pedro Lucha,et al. Integrating geomorphological mapping, trenching, InSAR and GPR for the identification and characterization of sinkholes: A review and application in the mantled evaporite karst of the Ebro Valley (NE Spain)［J］.Geomorphology, 2011,134(1-2):144-156.
[52]	Xiaozhen Jiang, Yongli Gao, Yuanbin Wu, et al. Use of Brillouin optical time domain reflectometry to monitor soil-cave and sinkhole formation［J］. Environmental Earth Sciences, 2016, 75(3):225.
[53]	蒙彦，管振德. 应用光纤传感技术进行岩溶塌陷监测预报的关键问题探讨［J］. 中国岩溶，2011, 30(2):187-192.
[54]	Yan Meng，Feng Ji，Long Jia，et al. A new approach for forecasting the appearance of sinkholes near the Jinshazhou tunnel［J］. Environmental Earth Sciences,2014,71(8):3339-3347.
[55]	蒙彦，黄健民，贾龙. 基于地下水动力特征监测的岩溶塌陷预警阈值探索：以广州金沙洲岩溶塌陷为例［J］. 中国岩溶，2018，37(3):408-414.
[56]	Ground investigation in sinkhole terrains［M］. Springer International Publishing：Sinkholes and Subsidence , 2005.