化学-气象耦合模型BOLCHEM在意大利波谷热点地区空气污染中的应用

IF 0.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
R. Cesari, T. Landi, A. Maurizi
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引用次数: 4

摘要

我们展示了在线空气质量模型BOLCHEM在意大利北部一个空气污染热点季节(2010年)的模型性能。模拟的表面污染物浓度与在背景空军基地站测得的污染物浓度进行了比较。研究了冬季和夏季的颗粒物(PM10和PM2.5)。两种污染物和两个季节的相关系数R均为0.6。冬季PM2.5地面浓度平均低估6.5%,PM10地面浓度平均高估7.8%。在夏季,PM2.5平均地面浓度平均低估了0.7%,而PM10平均地面浓度则平均低估了20%。最后一个结果表明撒哈拉沙尘暴的PM10被低估了。臭氧(O3)地面浓度仅在夏季考虑。它被很好地再现,相关系数R为0.7。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The coupled chemistry-meteorology model BOLCHEM: an application to air pollution in the Po Valley (Italy) hot spot
We present the model performance of the online air quality model BOLCHEM on seasonal period (year 2010) in an air pollution hot spot located in Northern Italy. Simulated surface concentrations of pollutants are compared with those measured at background AirBase stations. Particulate matter (PM10 and PM2.5) is investigated for winter and summer period. The correlation coefficient R is 0.6 for both pollutants and in both seasons. In the winter period, the PM2.5 ground concentration is underestimated by 6.5% on average, the PM10 ground concentration is underestimated by 7.8% on average. In the summer period, the PM2.5 average ground concentration is underestimated by 0.7% on average, while the PM10 average ground concentration is underestimated by 20% on average. The last result suggests that PM10 from Saharan dust storms is underestimated. Ozone (O3) ground concentration is considered only in summer period. It is well reproduced, the correlation coefficient R is 0.7.
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
3
审稿时长
4.5 months
期刊介绍: IJEP provides an international forum in the field of environment and pollution and addresses early and medium-term challenges involving scientific prediction, modelling and assessment. It focuses on ground-breaking research in the science of environmental pollution, at the early scientific stage. It is one of three key journals which together offer complete coverage of environmental issues: IJETM focuses on technical/engineering, policy and management solutions for environmental problems, and IJGEnvI focuses on future, longer-term environmental scenarios, ecological economics, climate change and biodiversity.
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