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Spatial analysis of industrial impacts on air pollution: an Estonian case

机译:工业对空气污染影响的空间分析:一个爱沙尼亚案例

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摘要

As Estonia has experiencing rapid structural reform, the contraction has meant that air emissions have decreased dramatically in 1990s. Changing industrial structure may result in a completely different type of air pollution map and a different type of behaviour pattern of pollution load images. Air pollution has compounding effect depending on the temporal and geographical patterns of load, on dispersion, and on deposition, depending on the relative sensitivity of receiving sites. Under these circumstances the substitution between sources can be reached manipulating primary with location factors. The model establishes cause-effect links between production, emissions, and ambient air quality from the case of single-plant to complex situations. The study explores empirical methods to build predictive models of SO_2 emission changes. The spatial analytical capabilities of raster system using approximate diffusion models for SO_2 pollution load in a 1 km grid are explored. The series of images are examined as a whole and changes are explained according their significance and power. Surrogates demonstrate spatial preferences for air pollution control policies in the framework of European Directives.
机译:由于爱沙尼亚正在经历快速的结构改革,因此收缩意味着空气排放量在1990年代急剧减少。变化的产业结构可能导致完全不同类型的空气污染图和不同类型的污染负荷图像行为模式。空气污染的影响取决于负载的时间和地理模式,扩散和沉积,取决于接收地点的相对灵敏度。在这种情况下,可以通过使用位置因子来控制源之间的替换。该模型建立了从单厂到复杂情况的生产,排放和环境空气质量之间的因果关系。该研究探索了建立SO_2排放变化预测模型的经验方法。利用1 km网格中SO_2污染负荷的近似扩散模型,探讨了栅格系统的空间分析能力。对图像系列进行了整体检查,并根据其意义和作用力说明了变化。代理人在欧洲指令的框架内显示出对空气污染控制政策的空间偏好。

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