度日因子在住宅排放估算和空气质量预报中的应用

IF 0.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
M. Kryza, M. Werner, A. Dore
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引用次数: 3

摘要

空气质量建模的结果受到所使用的排放清单的强烈影响。这与排放的空间和时间分配有关。在波兰,住宅燃烧(RC)在颗粒物总排放中所占份额很大,该部门的排放时间分布受到气象条件的影响。在这里,我们展示了WRF-Chem模型预测的性能,该模型适用于波兰地区,采用两种不同的方法来计算RC排放的时间分布。首先,使用GENEMIS项目(基本运行)提供的月、日和小时排放系数对排放量进行临时分配。其次,该模型采用了日加热度(HDD)RC方法。我们表明,这两种方法对PM10和PM2.5的模型性能相似。HDD方法可以更好地预测温暖的日子,而基本运行预测通常显示在这样的时期大气污染物浓度过高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of degree-day factors for residential emission estimate and air quality forecasting
Results of air quality modelling are strongly influenced by the emission inventory used. This is related to spatial and temporal allocation of emission. In Poland, the share of residential combustion (RC) in total emission of particulate matter is large, and the temporal profile of emission from this sector is influenced by meteorological conditions. Here we show the performance of the WRF-Chem model forecasts, running for the area of Poland with two different approaches to temporal distribution of emission from RC. First, emissions are distributed temporally using the monthly, daily and hourly emission factors provided by GENEMIS project (base run). Second, the model uses the heating degree-day (HDD) approach RC. We show that both approaches result in similar model performance for PM10 and PM2.5. The HDD approach leads to better forecasts for the warm days, whereas the base run forecasts often show too high concentrations of atmospheric pollutants for such periods.
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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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