用户名: 密码: 验证码:
中原城市群地质灾害风险区划研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
中原城市群为地质灾害多发区。本文根据中原城市群环境地质条件、地质灾害的分布发育特征、各类地质灾害的发育强度、活动程度及地质灾害的危害特征、破坏损失特点,选取崩塌、滑坡、泥石流及地面塌陷这4类主要的地质灾害进行风险区划研究;利用实地调查、遥感(RS)等技术提取研究区各种地质地理资料,从逻辑层面上分析地质灾害系统的元素构成,确立元素集合的层次、逻辑关系;基于GIS二次开发出风险评估系统,划分评价单元,用多种评价模型(模糊综合评判、可拓模型、BP神经网络等3种模型)进行对比分析,力求找到一种合适的评价手段来描述其间的各种关系和联系;
     综合考虑人口、房屋建筑、生命线工程、道路桥梁工程、土地资源分布等经济因素,建立了易损性评价指标和模型;
     以单灾种评价结果为基础数据,做出城市群单灾种区划图;将各灾种风险度结果进行叠加,做出综合风险区划,将研究区分为零风险、低风险、中风险、高风险、极高风险五个等级区划;在此基础上提出了一些初步的防治对策、方案和建议,从而为中原城市群地质灾害的防灾减灾工作和政府部门规划工作提供基础资料与决策依据。主要创新点包括:
     1、首次在中原城市群如此大的区域进行地质灾害风险区划研究,在研究深度、精度及区划理论、区划方法方面做了一些探索和创新。在吸收借鉴国内外已有研究成果、研究方法的基础上,结合该区域地质灾害的发育特征、危害特征及社会经济条件,首次建立了研究区由危险性、易损性组成的风险评价模型,完成在大区域内进行高精度(1:10万)的地质灾害风险区划。因此,本次研究进一步发展了地质灾害风险研究理论与方法,丰富了由危险性评价、易损性评价和风险性评价组成的地质灾害风险评价、风险区划系统,可为其它地区地质灾害风险区划工作提供参考。
     2、首次将崩塌、滑坡、泥石流、地面塌陷等地质灾害结合在一起,提出总体的评价指标体系和评价模型,并不是进行简单的将单一灾种风险性数值进行叠加。在此基础上对中原城市群地质灾害风险程度进行分区。
     3、将GIS技术、Excel数据库技术、RS技术成功地应用于地质灾害危险性评价、易损性评价以及风险分析的图形数字化、图层矢量叠加和属性计算、成图,实现了地质灾害分析评价的数字化、模型化、动态化,保证了风险研究的精度,这对于传统的区划工作,是一次重要突破与发展。
Zhongyuan City Group are situated in geo-hazards prone areas. In light of the geo-environment, the dominant features concerning the geo-hazards there, such as their distribution pattern, intensity of occurrence and activity, degree of threatening and sabotage ,etc., four kinds of geo-hazards( collapse ,landslide ,debris flow and subsidence ) are chosen in this geo-hazards risk zoning research.
     Based on geological and geographical data obtained by means of field investigation and RS technology, analyze the constitution of geo-hazards, determine the hierarchy and logical order of congregate; based on the risk evaluation system developed on the platform of GIS, and division of evaluation units, use various evaluation models(fuzzy synthetic discrimination, analytic hierarchy process, extensible comprehensive evaluation model, artificial neural network) for comparison research, in order to find out the suitable model which can adequately describe the various relationships among them.
     Taking into account related factors, such as population ,housing and building ,life line engineering ,distribution of land resources, etc., the index system and model concerning vulnerability evaluation has been established.
     By overlapping the risk zoning results concerning the above four kinds of geo-hazards, a comprehensive risk zoning was carried out. dividing the area into five categories, ranging from zero risk to super high risk. Moreover ,some suggestions were put forward for the harness of geo-hazards in Zhongyuan City Group . the main innovation points include:
     1. It is the first time to conduct geo-hazard risk zoning research in such a large area of Zhongyuan City Group, some exploration and innovations were made in aspects like profundity, precision, zoning theory and techniques. In light of the domestic and abroad research achievements and techniques, and in accordance with the regional features concerning geo-hazard occurrence and threatening, social, economical conditions, a comprehensive geo-hzard evaluation system was established in conjunction with hazard and vulnerability for the first time, with the completing of geo-hazard risk evaluation zoning with high precision in such a large area. Therefore, the research further develop the geo-hazard risk zoning theory and techniques, enriched the geo-hazard assessment and zoning system consisting of hazard and vulnerability evaluation, and risk assessment, can serve as an model for other similar work.
     2. Produce an overall evaluation index system and evaluation model for the first time , instead of just overlapping risk values of single type geo-hazard one other simply. Then carry out the risk zoning of geo-hazards in Zhongyuan City Group.
     3.By applying GIS, Excel data base and RS successfully to the digitalization of evaluation maps(concerning hazard, vulnerability and risk), the overlapping of map vectors, calculation of attributes and map edition ,realize the digitalization ,modeling and dynamism of risk analysis and evaluation, ensuring the precision of risk research and shows an important breakthrough and development compared to traditional zoning work.
引文
[1]张业成、张梁,地质灾害灾情评估理论与实践,地质出版社,1998。
    [2]张业成,中国地质灾害基本情况与研究工作建议,中国减灾,1992,2(2)。
    [3]张业成等,中国地质灾害系统层次分析与综合灾度计算,中国地质科学院院报,1993,第27、28号。
    [4]张业成等,中国崩塌、滑坡、泥石流成灾特点与减灾对策,地质灾害与环境保护,1994,5(4)。
    [5]张业成、张梁,正在兴起的地质灾害风险评价,当代地质科学进展(1995),中国地质大学出版社,1996。
    [6]张业成、张梁,论地质灾害风险评价,地质灾害与环境保护,1996,7(3)。
    [7]刘希林,我国泥石流危险度评价研究,自然灾害学报,2002。
    [8]胡瑞林等,京津唐地质灾害预测系统及其应用前景,地质灾害与防治学报,1994,5(增刊)。
    [9]罗元华、张梁等,泥石流灾害的危害方式及破坏损失评价,中国减灾,2000。
    [10]马宗晋等,自然灾害评估、灾度和对策,《中国减轻自然灾害研究》,中国科学技术出版社,1990。
    [11]高庆华,关于建立自然灾害评估系统的总体构思,灾害学,1991,6(4)。
    [12]张梁、郝秀英,地质环境经济学导论,地质灾害与环境保护,1994,5(2)。
    [13]黄崇福等,城市自然灾害风险评价的一级模型,自然灾害学报,1994,3(1)。
    [14]滕继东、任兴伟、刘永林,基于AHP法的地质灾害影响因素权重的确定,中国水运(理论版),2007,(4)。
    [15]余波、陈占恒,水电工程地质灾害调查中的遥感技术应用,贵州水力发电,2004,18(5):18-22。
    [16]钟颐、余德清,遥感在地质灾害调查中的应用及前景探讨,中国地质灾害与防治学报,2004,15(1):134-136。
    [17] V.Singhroy, Sar integrated techniques for geo-hazard assessment,Advances in Space Research, 1995,15(11):67-78。
    [18] Dario Tarchi, Nicola Casagli, Riccardo Fanti, David D.Leva, Guido Luzi, Alessandro Pasuto, Massimiliano Pieraccini, Sandro Silvano,2003。
    [19] Janet E.Nichol, Ahmed Shaker, Man-Sing Wong, Application of high-resolution stereo satellite images to detailed landslide hazard assessment,Geomorphology, 2006,76:68-75。
    [20] Piyoosh Rautela, landslide monitoring by using ground-based SAR interferometry: an example of applilcation to the Tessina landslide in Italy,Engineering Geology, 2003,68:15-30。
    [21] R.G uillande& 6 o thers, Automated mapping of the landslide hazard on the island of Tahiti based on digital satellite data, Mapping Sciences & Remote Sensing, 1995,32(1):59-70。
    [22] Gupta P, Anbalagan R, Slope stability of Their Dam Reservoir Area, India, using landslide hazard zonation (LHZ) mapping,Quarterly Journal of Engineering Geology, 1997,30: 27~36。
    [23] A. K. Pachauri, P. V. Gupta, R. Chander, Landslide zoning in a part of the Garhwal Himalayas,Environmental Geology, 1998,36: 3~4。
    [24] Christopher R.J. Kilbum,Alessandro Pasuto, Major risk from rapid, large-volume landslides in Europe,Geomorphology, 2003,54:3-9。
    [25] H.L.Peroto-Baldiviezo, T.L.Thurow, C.T.Smith, R.F.Fisher, GIS-based spatial analysis and modeling for landslide hazard assement in steep lands,southern Honduras,Agriculture, Ecosystems and Environment, 2004,103:165-176。
    [26] Graciela Mettemicht, Lorenz Hurni, Radu Gogu, Remote sensing of landslides:An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments,Remote Sensing of Environment, 2005,98:284-303。
    [27] H.Go’mez, T.Kavzoglu, Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin,Venezuela,Engineering Geology, 2005,78:11-27。
    [28] David M.Tralli, Ronald G.Blom, Victor Zlotnicki, Andrea Donnellan, Diane L.Evans, Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards, ISPRS Journal of Photo grammetry & Remote Sensing, 2005,59:185-198。
    [29] B.Pradhan, R.P.Singh, M.F.Buchroithner, Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data,Advances in Space Research, 2006,37:698-709。
    [30]乔建平、陈永波,滑坡灾害快速反应系统,自然灾害学报,2004,13(1)。
    [31]王治华,滑坡、泥石流遥感回顾与新技术展望,国土资源遥感,1999,第3期。
    [32]邓嘉农,陇南陕南滑坡泥石流发育程度及发展趋势研究,中国水土保持,2003,第9期。
    [33]赵俊华,舟曲县滑坡泥石流遥感影像判读与灾害防治,人民长江,2004,35(12)。
    [34]李加洪,基于遥感和GIS的西藏帕里河滑坡动态监测分析,自然灾害学报, 2006,15(4)。
    [35]张明华, 2005西藏墨脱高等级公路工程地质遥感勘察及GIS应用,中南公路工程,2005,30(3)。
    [36]高克昌,基于TM影像的万州主城区崩塌地质灾害研究,遥感技术与应用, 2003,18(2)。
    [37]宋杨,利用多时相遥感影像与DEM数据的滑坡灾害调查—以新滩地区为例,安徽师范大学学报(自然科学版), 2006,29(3)。
    [38]黄润秋,面向21世纪地质环境管理及地质灾害评价的信息技术,国土资源科技管理,2003,第18期。
    [39]吕杰堂,西藏易贡滑坡堰塞湖的卫星遥感监测方法初探,地球学报,2002,23(4)。
    [40]孙宝忠,三维影像遥感技术在滇藏线预可行性研究中的应用,铁道工程学报,2002,第1期。
    [41]傅文杰,基于支持向量机的滑坡灾害信息遥感头像提取研究,水土保持研究,2006, 13(4)。
    [42]林丽群、舒宁,基于决策树的多光谱影像分类研究,测绘信息与工程, 2006, 31(5):1-2。
    [43]赵建华、陈汉林,基于决策树算法的滑坡危险性区划评价,浙江大学学报(理学版), 2004,31(4):465-470。
    [44] Nilsen.Tor H, Brabb.Earl E,Slope-Stability Studies in the San Francisco Bay Region, California,Reviews in Engineering Geology, v3, 1977, p235-243。
    [45] Carl M. Wentworth, Stephen D. Ellen,Improved analysis of regional engineering geology using geographic information systems,Annual International Conference, Exhibits and Workshops on Geographic Information Systems,1987,(2):636-649。
    [46] Michael A. Finney, Nancy R. Bain,Analyzing landslip hazards with GIS technology,Public Works (December 1989), 120(13):59-60。
    [47] R. P. Gupta,B.C.Joshi,Landslide hazard zoning using the GIS approach,a case study from the Ramganga Catchment, Himalayas,Engineering Geology,1990,28(1-2):119-131。
    [48] Campbell Russell H,Bemknopf Richard L,Forecasting the spatial distribution of landslide risk Abstracts with Programs Geological Society of America, 1991, 23(5):145。
    [49] A. Carrara, M. Cardinali, R. Detti, F. Guzzetti, V. Pasqui,GIS techniques and statistical models in evaluating landslide hazard. Earth Surface Processes and Landforms,1991,16(5):427-445。
    [50] R. Soeters,C. J. van Westen,Slope instability:The role of remote sensing and GIS in recognition, analysis and zonation,Natural hazards and remote sensing,1994,44-58。
    [51] Andrea G,Fabbri,Chang-Jo F,Chung,Paola Napolitano,GIS and sensitivity analysis in aquifer vulnerability representations , International Geological Congress , Abstracts-Congres Geologique Internationale , Resumes,1996,30(3):496。
    [52] Mario Mejla Navarro, Ellen E Wohl,Geological Hazard and Risk Evaluation Using GIS: Methodology and Model Applied to Medellin, Colombia. Bulletin of the Association of Engineering Geologists, 1994, XXXI(4):459-481。
    [53] Cees J,van Westen,The modelling of landslide hazards using GIS,Surveys in Geophysics,2000,21(2-3):241-255。
    [54] Saro Lee, Kyungduck Min. Landslide susceptibility analysis using GIS and artificial neural network. Earth Surface Processes and Landforms,2003,28(12):1361-1376。
    [55]姜云、王兰生、地理信息系统在山区城市地面岩体稳定性管理与控制中的应用,地质灾害与环境保护,1994,第1期。
    [56]张倬元、王士天、王兰生等,工程地质分析原理,地质出版社,1994。
    [57]雷明堂、蒋小珍、李瑜,岩溶塌陷预测评价系统及其应用——以唐山岩溶塌陷为例,中国岩溶,1997,第2期。
    [58]唐川、朱静,GIS支持下的地震诱发滑坡危险区预测研究,地震研究, 2001(1):73-81。
    [59]刘荣高、李春来,基于遥感与地理信息系统的贵州省镇兴公路地质背景评价,遥感信息,2000(1):23-25。
    [60]阮沈勇、黄润秋,基于GIS的信息量法模型在地质灾害危险性区划中的应用,成都理工学院学报,2001,28(1):89-92。
    [61]殷坤龙,地质灾害风险区划与综合防治对策,安全与环境工程,2003,Vol.10(1): 32-35。
    [62]殷坤龙、张梁等,地质灾害风险分析与GIS技术应用研究,地理学与国土研究,2002,18(4)。
    [63]张桂荣、殷坤龙等,基于GIS的陕西省旬阳地区滑坡灾害危险性区划,中国地质灾害与防治学报,2003,Vol.14(4)。
    [64]董东林、武强、孙桂敏,山西临汾市地裂缝GIS预测的初步研究,中国地质灾害与防治学报,1996(04)。
    [65]陈植华、陈学军、黄英娣,湖北崇阳地裂缝灾害的成因,桂林工学院学报,1997,02期。
    [66]武强,基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统,地震地质,2002,24(2)。
    [67]陈佩佩、武强,基于人工神经网络的地裂缝危险性评价系统,煤田地质与勘探, 2001,29(3):44-47。
    [68]伍洲云,基于GIS技术的苏锡常地区地裂缝灾害危险性评价与预测分析[硕士学位论文],南京:南京大学,2003。
    [69]郭新荣,基于GIS的西安市地裂缝预报系统开发与研究[博士学位论文],西安:长安大学,2004。

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700