Estimation of background PM2.5 concentrations for an air-polluted environment

Estimation of background PM2.5 concentrations for an air-polluted environment
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DOI:
10.1016/j.atmosres.2019.104636
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发表时间:
2020
影响因子:
5.5
通讯作者:
Sheng-Hsiang Wang;Ruo-Ya Hung;N. Lin;Álvaro Gómez-Losada;J. Pires;Kojiro Shimada;S. Hatakeyama;A. Takami
Sheng-Hsiang Wang;Ruo-Ya Hung;N. Lin;Álvaro Gómez-Losada;J. Pires;Kojiro Shimada;S. Hatakeyama;A. Takami
中科院分区:
地球科学1区
文献类型:
--
作者:
Sheng-Hsiang Wang;Ruo-Ya Hung;N. Lin;Álvaro Gómez-Losada;J. Pires;Kojiro Shimada;S. Hatakeyama;A. Takami

文献摘要

相似文献

背景PM2.5浓度代表了来自国内和国外自然源的排放量,这对通过减少排放可以实现的空气质量控制方面的最大效果具有影响。然而,通过人口密集地区的背景监测点估计背景PM2.5浓度(例如,台湾是一个挑战。在这项研究中,我们使用台湾三个空气质量站的11年时间序列(2005-2016)数据,比较了两种估计背景浓度的统计方法。两种方法的结果表明,背景PM2.5浓度估计,这是约4.4 μg m− 3,与文献报道相当的协议。根据趋势分析,由于东亚近年来加强了排放控制,该浓度以1-2微克/m−3decade− 1的速度下降。此外,由于当地排放、地形影响和天气状况,当地浓度可超过区域背景值5倍。当考虑PM2.5的跨县传输时,两种风力情景之间存在高达5 μg m− 3的差异。该研究为政策制定者制定可实现的、合理的PM2.5减排目标提供了重要信息。
The background PM2.5concentration represents the combined emissions from natural domestic and foreign sources, which has implications for the maximum effect, in terms of air-quality control, that can be achieved by reducing emissions. However, estimating the background PM2.5concentration via background monitoring sites for a densely populated region (e.g., Taiwan) has been a challenge. In this study, we compared two statistical methods of estimating the background concentration using an 11-year time series (2005–2016) of data from three air-quality stations in Taiwan. The results of two methods showed good agreement for the background PM2.5concentration estimation, which was about 4.4 μg m−3and comparable to literature reports. According to the trend analysis, the concentration has decreased at a rate of 1–2 μg m−3decade−1as a result of better emissions control in East Asia in recent years. Furthermore, the local concentration can exceed the regional background value by up to 5 times due to local emissions, topographic effects, and weather regimes. When considering the cross-county transport of PM2.5, a difference as high as 5 μg m−3exists between two prevailing-wind scenarios. This study provides crucial information to policy-makers on setting an achievable and reasonable goal for PM2.5reduction.