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Air quality estimates in Taiyan, Shanxi Province, China

机译:中国山西省太岩市的空气质量估算

摘要

In a previous cost-benefit analysis of local air quality improvements in Shanxi, a simple linear relationship between emissions and surface concentrations was assumed (Aunan et al., 2004). This study looks more closely at the relationship between emissions and concentrations and employs a dispersion model to estimate the local air quality in Taiyuan based on the emissions from a variety of sources from large industry to households. We show that even with limited data availability we were able to make fairly accurate estimates of the air quality. We utilized the model on five abatement projects ranging from emission reductions in the households to tall industrial stacks. We show that the measures targeted at smaller industries and household consumption are often the most effective in terms of improving local air quality because these sources have low emission heights and are located in the immediate vicinity of the population. The larger industrial sources, though potent in the emission reduction, often have such tall stacks that the emissions are fairly diluted before they reach the ground and therefore have little effect on the concentration of particles or SO2 in the city.
机译:在以前的山西地方空气质量改善的成本效益分析中,假设排放量与地表浓度之间存在简单的线性关系(Aunan等,2004)。这项研究更加仔细地研究了排放量与浓度之间的关系,并采用了一种弥散模型,根据从大型工业到家庭的各种排放量,估算了太原市的当地空气质量。我们表明,即使数据可用性有限,我们也能够对空气质量做出相当准确的估算。我们在五个减排项目中使用了该模型,这些项目涉及从家庭减排到大型工业烟囱减排。我们表明,针对小型行业和家庭消费的措施通常在改善当地空气质量方面是最有效的,因为这些排放源的排放高度低且位于人口的附近。较大的工业源尽管有减排的潜力,但往往堆得很高,以致排放物在到达地面之前已被充分稀释,因此对城市中颗粒物或SO2的浓度影响很小。

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