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AIR-QUALITY PROGNOSIS, FOR THE IMPLEMENTATION OF ABATEMENT STRATEGIES OVER LARGE URBAN AREAS

机译:空气质量预测,用于在大城市范围内实施减排策略

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State-of-the-art approaches for urban air-quality characterisation have several drawbacks due to a-priori assumptions and/or due to inherent limitations of the concept utilised. For the evaluation of abatement scenarios it is either necessary to embark on extensive monitoring campaigns or to consistently apply numerical models for atmospheric dispersion. The 'ENVISOR' methodology applied here is a mixture of the two approaches. It forecasts pollutant concentrations during real episodes and assesses the impact from the construction of a new highway across a large urban domain of 100×100 km~2. Data from an extensive monitoring network are used to identify real modelling periods and for validating the modelling simulations. The selected periods are aiming to the assessment of 'annual mean' or 'episodic' conditions. These periods are short-listed according to the abatement scenario under consideration. This approach yields accurate forecasts for the concentration of pollutants after extensive validation tests extended over the whole domain. It is foreseen that the impact from the highway construction will be minimal for photochemical pollution whereas, higher impact will result for inert pollutants due to additional emissions from the highway.
机译:由于先验假设和/或由于所使用概念的固有局限性,用于城市空气质量表征的最新方法具有多个缺点。为了评估减排方案,有必要开展广泛的监测活动,或者始终如一地应用数值模型进行大气扩散。这里使用的“ ENVISOR”方法是两种方法的混合。它可以预测真实事件中的污染物浓度,并评估在100×100 km〜2的大城市范围内修建新高速公路的影响。来自广泛监控网络的数据用于识别实际建模周期并验证建模仿真。选择的时期旨在评估“年平均”或“个别”状况。根据正在考虑的减排方案,将这些时间段入围。经过对整个领域的广泛验证测试后,这种方法可以准确预测污染物的浓度。可以预见的是,高速公路建设对光化学污染的影响将最小,而由于高速公路的额外排放,对惰性污染物的影响将更大。

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