首页> 外文会议>International oil spill conference (IOSC 2008) >APPLICATION OF OIL SPILL ENVIRONMENTAL SENSITIVITY ANALYSES TO BRAZILIAN ROAD NETWORKS
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APPLICATION OF OIL SPILL ENVIRONMENTAL SENSITIVITY ANALYSES TO BRAZILIAN ROAD NETWORKS

机译:溢油环境敏感性分析在巴西公路网中的应用

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Roads provide the main means of transportation in Brazil. According to data from the Brazilian Department of Infrastructure and Transport, 96.2% of the passenger transportation and 61.8% of the cargo transportation are based on road infrastructure. However, three quarters of the Brazilian roads are in terrible, unsatisfactory or generally inadequate condition. Poor road conditions are responsible for a great number of accidents with severe consequences for the population and the environment. Given the importance of this matter, there is a need to develop an intelligent system for automatic classification of social and environmental sensitivity maps in order to support actions that respond to emergencies and to help in transportation planning, especially considering the heavy movement of hazardous cargo, such as petroleum and its derivates. For this, tools such as GIS (Geographic Information System) allow social-environmental and traffic engineering characterization maps to be analyzed on a unified, georeferenced digital base. This way, administrators can estimate which stretches of the network are more environmentally sensitive and which pose greater risks, and therefore draw inferences on the most socially and environmentally vulnerable. Social and environmental vulnerability data not only help in the classification of the areas which pose the greater risks, but also make it possible to decide on emergency support points, creating a culture of prevention in the area of hazardous cargo transportation. The case study on the state of Rio Grande do Norte provides a measure of the importance of such work. The city of Natal - the state capital - and the Guamare petrochemical facility are interconnected by 180 Km Road, on which more than 100 tanker trucks loaded with diesel and its derivates travel every day. This road is classified as in poor conditions and, according to the Brazilian Roads Police, it is one of the most dangerous.rnThe relevance of this work is to show how information consolidated to a single database, georeferenced in a GIS, can assist planning for the safe transport of oil and hazardous cargos, benefiting not only the state's population but the environment as a whole.
机译:道路是巴西的主要交通方式。根据巴西基础设施和运输部的数据,96.2%的客运和61.8%的货物运输是基于道路基础设施的。但是,巴西四分之三的道路状况糟糕,不尽人意或普遍不适当。恶劣的道路条件会导​​致大量事故,并对人口和环境造成严重后果。鉴于这一问题的重要性,有必要开发一种智能系统,对社会和环境敏感性地图进行自动分类,以支持应对紧急情况的行动并帮助进行运输规划,尤其是考虑到危险货物的剧烈移动,例如石油及其衍生物。为此,诸如GIS(地理信息系统)之类的工具允许在统一的地理参考数字基础上分析社会环境和交通工程特征图。这样,管理员可以估计网络的哪些部分对环境更敏感,哪些部分构成更大的风险,因此可以推断出对社会和环境最脆弱的人群。社会和环境脆弱性数据不仅有助于对风险较大的区域进行分类,而且还可以确定紧急支持点,从而在危险货物运输区域建立预防文化。关于北里奥格兰德州的案例研究提供了此类工作重要性的衡量标准。纳塔尔(Natal)市-州府首府-瓜玛尔石化设施通过180公里公路相互连接,每天有100多辆装满柴油及其衍生物的油罐车行驶。根据巴西道路警察的说法,这条道路属于恶劣条件,是最危险的道路之一。这项工作的相关性是,说明将信息整合到一个地理数据库中的地理数据库中,可以如何帮助规划石油和危险货物的安全运输,不仅使该州的人口受益,而且使整个环境受益。

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