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贡献权重模型在区域滑坡危险性评价中的应用 被引量:8

Application of contributing weights model in regional landslides hazard assessment
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摘要 以攀枝花市米易县为研究区域,采用GIS技术,选取坡度、坡向、坡形、地层岩性和相对高差等5个指标作为评价因子,利用贡献权重模型对研究区的滑坡地质灾害进行危险性评价。评价结果经过检验符合实际情况:高危险度区占全区面积31.9%;中危险度区占全区面积52.6%;低危险度区占全区面积15.5%;高、中危险度区所包含的滑坡个数占到全区滑坡总数的95.9%。评价结果表明,GIS技术和贡献权重模型结合能够很好地为滑坡灾害危险性评价服务,可以解决过去危险性评价中效率低、精度差等问题,从而实现滑坡灾害评价的信息化和科学化。 Landslide risk zoning is an important basis of landslide management.In this paper,a contributing weight model was used to zone Miyi County for landslide risk assessment.The input data for zoning were mostly and automatically captured by GIS technology.The landslide inventory of the area was made from detailed field surveys and collection of academic material.The landslide-controlling parameters were considered to be gradient,aspect,slope shape,stratum and height difference.Among them,stratum was more important to landslide growth in the area than the other factors for its larger weight.The result was verified and confirmed to accord with the actuality.The high risk zone was covering 31.9% of the study area,the medium risk zone was 52.6% and the low risk zone was 15.5%.The number of landslides in high and medium risk zones was 95.9% of the total.compared with the traditional methods,the GIS-based processing had higher efficiency and accuracy,and a larger regional covering capability.It helped to realize a digitalized process of landslide risk assessment.
作者 王萌 乔建平
出处 《中国地质灾害与防治学报》 CSCD 2010年第1期1-6,共6页 The Chinese Journal of Geological Hazard and Control
基金 中国科学院成都山地灾害与环境研究所前沿项目"中山区精细空间滑坡灾害预警" 国家科技部"十一五"重点科技支撑计划(2006BAC04B05 2008BAK50B04) 国家科技部国际合作(2009DFB20196 2007DFA21150) 国家气象局科研专项(YHY(QX)2007-6-37)项目 中科院三期重要方向创新项目(KJCX3-SW-L1-6) 中国科学院成都山地灾害与环境研究所2006年青年种子基金"基于BP神经网络模型重庆万州区滑坡风险研究"
关键词 GIS 贡献权重模型 区域滑坡危险性评价 四川省米易县 GIS contributing weight model regional landslide risk zoning Miyi County
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参考文献12

  • 1J. Remondo, J. Bonachea, A. Cendrero. A Statistical Approach to Landslide Risk Modeling at Basin Scale: from Landslide Susceptibility to Quantitative Risk Assessment [J]. Landslide,2005,(2):321 -328.
  • 2G. Acharya, F. De Smedt, N. T. Long. Assessing Landslide Hazard in GIS: A Case Study from Rasuwa, Nepal [J]. Bull Eng Geol Env, 2006,65: 99- 107.
  • 3Mehmet Lutfi Suzen, Vedat Doyuran. A CoMParison of the GIS Based Landslide Susceptibility Assessment Methods: Multivariate Versus Bivariate [ J]. Environmental Geology, 2004, 45:665 - 679.
  • 4T. Fernandez, C. Irigaray, R. Elhamdouni etal. Methodology for Landslide Susceptibility Mapping by Means of GIS: Application to the Contraviesa Area ( Franada, Spain) [J]. Natural Hazards, 2003, 30:297-308.
  • 5Ashis K. Saha, Ravi P. Gupta, Irene Sarkar etal. An Approach for GIS - Based Statistical Landslide Susceptibility Zonation - With A Case Study in the Himalayas [J]. Landslides, 2005, 2:61 - 69.
  • 6A. Carrara, F. Guzzetti, M. Cardinali etal. Use of GIS Technology in the Prediction and Monitoring of Landslide Hazard [J]. Natural Hazards, 1999, 20:117 - 135.
  • 7Saro Lee, Biswajeet Pradhan. Landslide Hazard Mapping at Selangor, Malaysia Using Frequency Ratio and Logistic Regression Models [J]. Landslide, 2007, 4:33-41.
  • 8乔建平.滑坡减灾理论与实践[M].北京:科学出版社,1997..
  • 9乔建平,吴彩燕,田宏岭.三峡库区云阳—巫山段地层因素对滑坡发育的贡献率研究[J].岩石力学与工程学报,2004,23(17):2920-2924. 被引量:44
  • 10乔建平,吴彩燕.三峡水库区云阳-巫山段斜坡高差因素对滑坡发育的贡献率研究[J].中国地质灾害与防治学报,2005,16(4):16-19. 被引量:33

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