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Use of CALPUFF and CAMx models in regional air quality planning: Italy case studies

机译:使用Calpuff和CAMX模型在区域空气质量规划中:意大利案例研究

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Applications of air pollution dispersion models CALPUFF and CAMx have been performed over regional Italy territories in order to evaluate transport, wet and dry deposition of coarse and fine particulates and formation of secondary fine particulates with special attention to nitrates and sulphates. Two different geographical domains were chosen, Trento and Florence provinces, with horizontal cells the size of 1km ×1km, and meteorological variables were considered from meteorological models and local measurements as well; emissions were taken from high resolution bottom-up emission inventories and the time scale was spanning an entire year on hourly basis. Results show how the more accurate chemical model contained in CAMx performs better in secondary particulates formation, in particular regarding the sulphates, while CALPUFF seems slighlty better in predicting dispersion paths. Even if both models application suffers from lack of background concentrations of particulate matter, the CALPUFF model produces more accurate hourly concentration values in the single cell, making this model a better choice between the two in total PM evaluation for this particular case study. Correlation between CAMx and CALPUFF predicted data is also strong.
机译:空气污染分散模型Calpuff和Camx的应用已经在区域意大利领土上进行,以评估粗细胞和细颗粒的运输,湿和干燥沉积,并特别注意硝酸盐和硫酸盐的特殊细颗粒。选择了两种不同的地理位域,特伦托和佛罗伦萨省,水平细胞的尺寸为1km×1km,以及气象模型和局部测量的气象变量也是如此;排放从高分辨率自下而上的排放库存中取出,时间尺度在小时内跨越一整年。结果表明,CAMX中含有的更准确的化学模型在二级微粒形成中,特别是关于硫酸盐,而CALPUFF在预测分散路径方面似乎更易于疲软。即使两种模型应用缺乏颗粒物质的背景浓度,Calpuff模型也会在单个细胞中产生更准确的每小时浓度值,使得该模型在此特定情况研究中的两个总PM评估中的两个更好的选择。 CAMX和CALPUFF之间的相关性也是强大的。

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