基于GIS与层次分析法的公路泥石流危险性评价
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摘要
泥石流是我国山区公路的主要地质灾害之一,对山区建设和交通设施危害较大。以赛果高速为例,结合当地的环境地质条件分析影响泥石流产生的重要因素,选取岩性、坡度、沟壑密度、风化程度,植被覆盖率、植被覆盖类型、年均日最大降雨量、历史灾害频次8个因子参与泥石流危险性评价;然后利用层次分析法并结合GIS软件的叠加分析功能,得到评价路段泥石流危险性分区结果;最后利用该地区泥石流历史灾害信息验证了本文评价方法的可行性与评价结果的准确性。
The debris flow,which is the main geological hazards of our country mountain highway,has great harm to the mountain-building and traffic facilities. The Saiguo highway was taken as an example to analyze the important factors which affect the occurrence of debris flow combined with the local environmental geological conditions. Factors like lithology,slope,gully density,weathering degree,vegetation coverage,vegetation type,average daily rainfall,historical disaster frequency were chosen in debris flow risk assessment. Then the analytic hierarchy process( AHP),combined with the overlay analysis function of GIS software,was used to obtained debris flow risk zoning result. Finally the history information of debris flows in this region was utilized to verify the accuracy and feasibility of the method we proposed in this paper.
The debris flow,which is the main geological hazards of our country mountain highway,has great harm to the mountain-building and traffic facilities. The Saiguo highway was taken as an example to analyze the important factors which affect the occurrence of debris flow combined with the local environmental geological conditions. Factors like lithology,slope,gully density,weathering degree,vegetation coverage,vegetation type,average daily rainfall,historical disaster frequency were chosen in debris flow risk assessment. Then the analytic hierarchy process( AHP),combined with the overlay analysis function of GIS software,was used to obtained debris flow risk zoning result. Finally the history information of debris flows in this region was utilized to verify the accuracy and feasibility of the method we proposed in this paper.
引文
[1]赵源,刘希林.人工神经网络在泥石流风险评价中的应用[J]地质灾害与环境保护,2005,16(2):135-138.
[2]孟庆华,孙炜锋,张春山,等.陕西凤县泥石流灾害危险性评估[J].自然灾害学报,2014(01):121-131.
[3]王英杰,王磊,荣起国,等.基于通径分析与可拓学的公路泥石流危险性评价[J].吉林大学学报(工学版),2014(03):895-900.
[4]罗冠枝,徐林荣.基于层次分析法的可拓学理论在山区公路泥石流危险性评价中的应用[J].地质灾害与环境保护,2008(04):128-133.
[5]邹强,崔鹏,杨伟.G318川藏公路段泥石流危险性评价[J].山地学报,2013(03):342-348.
[6]罗真富,蒲达成,谢洪斌,等.基于GIS和信息量法的泥石流流域滑坡危险性评价[J].中国安全科学学报,2011(11):144-150.
[7]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[J].成都理工学院学报,2001,28(1):89-92.
[8]Saaty T.L.The Analytic Hierarchy Process.Mc Graw Hill[A].Inc.1980:22-71.
[9]符锌砂,揭强.基于层次分析法的道路交通安全治理方案决策模型[J].公路工程,2014,39(1):121-125.
[10]马平均,彭小平.基于GIS公路地质灾害信息管理系统的设计与实现[J].公路工程,2009,34(3):37-40.
[11]牛全福,程维明,兰恒星,等.基于信息量模型的玉树地震次生地质灾害危险性评价[J].山地学报,2011.29(2):243-249.
[2]孟庆华,孙炜锋,张春山,等.陕西凤县泥石流灾害危险性评估[J].自然灾害学报,2014(01):121-131.
[3]王英杰,王磊,荣起国,等.基于通径分析与可拓学的公路泥石流危险性评价[J].吉林大学学报(工学版),2014(03):895-900.
[4]罗冠枝,徐林荣.基于层次分析法的可拓学理论在山区公路泥石流危险性评价中的应用[J].地质灾害与环境保护,2008(04):128-133.
[5]邹强,崔鹏,杨伟.G318川藏公路段泥石流危险性评价[J].山地学报,2013(03):342-348.
[6]罗真富,蒲达成,谢洪斌,等.基于GIS和信息量法的泥石流流域滑坡危险性评价[J].中国安全科学学报,2011(11):144-150.
[7]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[J].成都理工学院学报,2001,28(1):89-92.
[8]Saaty T.L.The Analytic Hierarchy Process.Mc Graw Hill[A].Inc.1980:22-71.
[9]符锌砂,揭强.基于层次分析法的道路交通安全治理方案决策模型[J].公路工程,2014,39(1):121-125.
[10]马平均,彭小平.基于GIS公路地质灾害信息管理系统的设计与实现[J].公路工程,2009,34(3):37-40.
[11]牛全福,程维明,兰恒星,等.基于信息量模型的玉树地震次生地质灾害危险性评价[J].山地学报,2011.29(2):243-249.