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Statistical Method for an Assessment of Actions against Noise and Air Pollution in Order to compare the total Improvement in an Investigation Area

机译:用于评估噪声和空气污染的行动的统计方法,以比较调查区域的完整性

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In accordance with the German regulation VBEB, LIMA provides intuitive methods for the evaluation of different planned actions. Noise and air pollution maps used alone are lacking in that they do not show any statistical evaluation of the quality of the actions. Actually, while the reduction of immissions is relevant, the reduction in numbers of exposed inhabitants after vs before any action is the most important evaluation criteria. In the following, we define the adapted statistical method for air pollution impact evaluation. All facades longer than 5m can be broken down into sub facades. For each part of the facade, a receiver point is calculated. LIMA determines the positions of the receiver points automatically. For noise mapping, we recommend 5 m or 10 m grid size, for air pollution mapping grid size can be fixed from 2 m up to 10 m. From the regular grid results, LIMA fetches by a sophisticated interpolation nicely fitted proper values to the necessary receiver points; this method is proved since years. The user is free to decide whether using the exact number of inhabitants for each building or using a statistical distribution of inhabitants proportional to volume of a building derived from the whole number of inhabitants in the investigation area.
机译:根据德国法规VBEB,利马提供了评估不同计划行动的直观方法。单独使用的噪音和空气污染图缺乏缺乏对行动质量的任何统计评估。实际上,虽然缩短了豁免是相关的,但在任何行动之前,vs之后的暴露居民数量的数量是最重要的评价标准。在下文中,我们定义了用于空气污染影响评估的适应性统计方法。所有的外墙都可以分解为子外墙。对于外观的每个部分,计算接收器点。利马自动确定接收器点的位置。对于噪声映射,我们推荐5米或10米的网格尺寸,空气污染映射型材尺寸可以从2米固定到10米。从常规网格结果,利马通过复杂的插值提取很好地拟合了必要的接收点的适当值;这种方法是自年的证明。用户可以自由地决定是否使用每个建筑物的确切居民数量或使用居民的统计分布与来自调查区域中的整个居民的建筑物的体积成比例。

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