基于Venn方法与ArgGis的水上交通安全隐患点风险等级初步研究
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摘要
为了了解湖南省水上交通安全风险隐患点分布状况及风险等级,项目组奔赴水运管理局与气象局,开展座谈、填写调查表、实地考察及采访船主等多种方式的调研活动,采取Venn方法与ArgGIS技术方法研究。结果表明:湖南省水上交通安全风险隐患点共387个,其中高风险安全隐患点43个,其他为较高风险安全隐患点,并研制了湖南省水上交通安全风险隐患点空间分布图。该研究成果对湖南省水上航道气象监测站点的建设、全省水上交通安全管理对策的制定可提供参考依据。首次采取该研究方法,对全国水上交通安全隐患点风险等级研究的同行们具有较高的借鉴意义。
In order to understand the Hunan water traffic safety hazard point distribution and the level of risk, survey group rushed to the Water Transportation Management Bureau and the Bureau of meteorology research activities, discussion, questionnaire, on-the-spot investigation and interview with the owner in a variety of ways, to study with ArgGIS Venn method. The results show that there are 387 risk points of water traffic safety risks in Hunan Province, among which 43 are high risk and safety risks, others are high risk and safety hidden danger points, and the spatial distribution map of risk points for Hunan's water traffic safety is developed. The research results can provide reference for the construction of Hunan water traffic meteorological monitoring stations and the formulation of water traffic safety management measures in the province. The research method is of great significance for the researchers of the risk grade research of the national water traffic safety hidden danger point.
In order to understand the Hunan water traffic safety hazard point distribution and the level of risk, survey group rushed to the Water Transportation Management Bureau and the Bureau of meteorology research activities, discussion, questionnaire, on-the-spot investigation and interview with the owner in a variety of ways, to study with ArgGIS Venn method. The results show that there are 387 risk points of water traffic safety risks in Hunan Province, among which 43 are high risk and safety risks, others are high risk and safety hidden danger points, and the spatial distribution map of risk points for Hunan's water traffic safety is developed. The research results can provide reference for the construction of Hunan water traffic meteorological monitoring stations and the formulation of water traffic safety management measures in the province. The research method is of great significance for the researchers of the risk grade research of the national water traffic safety hidden danger point.
引文
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[2]代娟,陈正洪,田树青,等.长江山区航道雾的时空分布特征分析[J].长江流域资源与环境,2015,24(2):333-338.
[3]白永清,陈正洪,陈鲜艳,等.长江山区航道剖面能见度分析及局地影响因素初探[J].长江流域资源与环境,2015,24(2):339-345.
[4]熊和金,刘祖源.水上交通安全信息处理中的神经网络技术[J].系统工程与电子技术,2015,22(11):59-61.
[5]倪长健.自然灾害风险评估途径的进一步探讨[J].灾害学,2014,29(3):11-13.
[6]巫丽芸,何东进,洪伟,等.自然灾害风险评估与灾害易损性研究进展[J].灾害学,2014,9(4):129-135.
[7]刘少军,张京红,张明洁,等.基于GIS的空间判识技术在海南岛山洪风险普查中的应用[J].气象研究与应用,2013(34):103-105.
[8]刘菡,包云轩,袁成松,等.长江航道江苏段强风和强横风的时空分布特征研究.自然灾害学报,2014,23(4):155-168.
[9]曹欣,何芳,谭婷婷.重庆市城市部件普查确权方法研究及应用[J].测绘与空间地理信息,2013,36(12):138-141.
[10]张金满,曲晓黎,赵娜,等.河北省公里交通气象灾害风险普查[J].风险管理,2014(308):61-63.