ATMOSPHERIC POLLUTION RESEARCH (APR) 是一本国际期刊，旨在发表有关空气污染的文章。论文应在地方、区域或全球范围内展示新颖的实验结果、理论和空气污染模型。涵盖的领域包括无机、有机和持久性有机空气污染物的研究、空气质量监测、空气质量管理、大气扩散和传输、污染物的空气-表面（土壤、水和植被）交换、干湿沉降、室内空气质量、暴露评估、健康影响、卫星测量、自然排放、大气化学、温室气体和对气候变化的影响。

Atmospheric Pollution Research (APR) is an international journal dedicated to publishing research articles on air pollution. We welcome papers that present novel experimental results, theories, and models of air pollution at local, regional, or global scales. The journal covers a wide range of topics, including the study of inorganic, organic, and persistent organic pollutants, air quality monitoring and management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health impacts, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and their effects on climate change.

《Atmospheric Pollution Research》（APR）是一本国际期刊，专注于发表关于空气污染的研究文章。我们欢迎展示地方、区域或全球范围内的新颖实验结果、理论和空气污染模型的论文。期刊涵盖的领域包括无机、有机和持久性有机空气污染物的研究、空气质量监测与管理、大气扩散与传输、污染物的空气-表面（如土壤、水和植被）交换、干湿沉降、室内空气质量、暴露评估、健康影响、卫星测量、自然排放、大气化学、温室气体及其对气候变化的影响等。

Atmospheric Pollution Research

Dong Li

Jianhua Chen

Yuefan Zhang

Zhongyang Gao

Na Ying

Jian Gao

Kai Zhang

Shuang Zhu

Dust emissions from urban roads using the AP-42 and TRAKER methods: A case study

使用AP-42和TRAKER方法的城市道路扬尘排放：案例研究

The COVID-19 virus outbreak has been declared a "global pandemic". Therefore, "lockdown" was issued in affected countries to control the spread of the virus. To assess air pollution during and after lockdowns, this study selected pandemic hotspots in China (Wuhan), Japan (Tokyo), the Republic of Korea (Daegu), and India (Mumbai) and compared the Air Quality Index (AQI) in these areas for the past three years. The results indicated that air pollution levels were positively correlated with a reduction in pollutant levels during and after lockdowns in these cities. In Tokyo, low levels of air pollution, no significant change in the distribution of "good" and "moderate" days was observed during lockdown. In Daegu, mid-level air pollution, the percentage of "unhealthy" days (AQI>100) markedly reduced during lockdown; however, this reverted after lockdown was lifted. In Wuhan and Mumbai, high air pollution levels, the percentage of unhealthy days remarkably decreased during lockdown and continued to reduce after lockdown. It was found that PM2.5 was the critical pollutant for all cities because its sub-AQI was the largest of the six pollutant species for the majority of days. In addition, PM10 dominated the overall AQI for 2.2-9.6% of the period in Wuhan and Mumbai, and its sub-AQI reduced during lockdown. The mean sub-AQI for NO2, SO2, CO, and O3 was within the "good" category for all cities. In conclusion, the lockdown policy reduced air pollution in general and this reduction was more significant for regions with high air pollution levels.

Meng Hu

Zhongbing Chen

Haiyan Cui

Tao Wang

Chao Zhang

Keming Yun

Atmospheric pollution research

Atmos Pollut Res

Air pollution and critical air pollutant assessment during and after COVID-19 lockdowns: Evidence from pandemic hotspots in China, the Republic of Korea, Japan, and India.

空气污染与COVID-19封锁期间及之后的重点空气污染物评估：来自中国、韩国、日本和印度疫情热点的证据。

Based on the ground-level observed NO2 concentration, satellite-observed NO2 column concentration from the Ozone Monitoring Instrument (OMI) and meteorological parameters, we comprehensively consider the seasonal and regional differences in the relationship between NO2 column concentration and measured NO2 concentration and establish a two-stage combined ground NO2 concentration estimation (TSCE-NO2) model using a support vector machine for regression (SVR) and a genetic algorithm optimized back propagation neural network (GABP). On this basis, the spatial-temporal variation in the modelled ground-level NO2 concentration over China during the period of 2005–2019 was analysed. The results show that the TSCE-NO2 model proposed in this study provides a reliable estimation of the modelled ground-level NO2 concentration over China, effectively filling the spatial and temporal gaps in China's air quality ground monitoring network (the model's correlation coefficient, R, is 0.92, the mean absolute error, MAE, is 3.62 μg/m3, the mean square percentage error, MSPE, is 0.72%, and the root-mean-square error, RMSE, is 5.93 μg/m3). The analysis results of the spatial and temporal variation indicate that (1) the perennial ground-level NO2 concentration over China is high in the eastern area and low in the western area, and the high values are mainly distributed along the northern coast, the eastern coast, the middle reaches of the Yangtze River, the middle reaches of the Yellow River, the Pearl River Delta and the Sichuan Basin. (2) The modelled ground-level NO2 concentrations over China are highest in winter, followed by those in autumn and spring, and they are lowest in summer. Before 2011, the ground-level NO2 concentration over China increased at a rate of 0.348 ± 0.132 μg/(m3∙a) but decreased at a rate of 0.312 ± 0.188 μg/(m3∙a) after 2011. (3) From 2011 to 2019, measures such as energy savings and emission reductions alleviated NO2 pollution on the premise of ensuring sustained China's GDP growth.

Jianhui Xu

Hannakaisa Lindqvist

Qingfang Liu

Kai Wang

Li Wang

Estimating the spatial and temporal variability of the ground-level NO2 concentration in China during 2005–2019 based on satellite remote sensing

基于卫星遥感估算2005-2019年中国地面NO2浓度的时空变化

Jan E. Szulejko

Pawan Kumar

Akash Deep

Ki-Hyun Kim

Global warming projections to 2100 using simple CO2 greenhouse gas modeling and comments on CO2 climate sensitivity factor

使用简单二氧化碳温室气体模型预测至2100年的全球变暖情况及对二氧化碳气候敏感性因子的评论

Dongping Bai

Honglei Wang

Mengtian Cheng

Wenkang Gao

Yuan Yang

Wei Huang

Kangjie Ma

Yang Zhang

Renjian Zhang

Jianan Zou

Jiaxin Wang

Yanzhi Liang

Nana Li

Yuesi Wang

Source apportionment of PM2.5 and its optical properties during a regional haze episode over north China plain

华北平原区域雾霾期间PM2.5来源解析及其光学特性

Rongxia Yu

Zhian Huang

Mengyang Zeng

Wei Li

Qianming Liu

Hao Ding

Jiaze Ren

Jinyang Li

Jinlu Chang

Yongrui Yang

Study on the performance of a composite dust suppressant in open-pit mines

露天矿复合抑尘剂性能研究

Xiaocheng Song

Yao Zhang

Guoxin Zhang

Xuefeng Chen

Characteristics of thermal environment and pollutant diffusion when considering VIT and jet fans inside a 3 km long road tunnel

考虑VIT和射流风机时3公里长公路隧道内热环境和污染物扩散特征

Mahdi Boroughani

Rahman Zandi

Sima Pourhashemi

Hamid Gholami

Dimitris G. Kaskaoutis

Linking sand/dust storms hotspots and land use over Iran

伊朗沙尘暴热点与土地利用的关联

Chung-Shin Yuan

Jian-Wei You

Yu-Lun Tseng

Wen-Hsi Cheng

Yu-Yun Kao

Chia-Lun Lo

Chia-Wei Lee

Utilizing lead isotopes in airborne particulates and soils to trace lead sources: A case study from southern Taiwan

利用气溶胶和土壤中的铅同位素追踪铅来源：台湾南部案例研究

Yunhong Zhou

Linglu Qu

Zhongyi Zhang

Hui Guan

Hongwei Xiao

Huayun Xiao

Ammonia emissions from fertilizer application as a dominant controller of nitrogenous aerosols in the urban atmosphere of Kunming, Southwest China

施肥氨排放作为昆明城市大气中氮 aerosols 的主要控制因素，中国西南地区

Abbreviation	Atmos. Pollut. Res.
Journal Impact	3.89
Quartiles(Global)	ENVIRONMENTAL SCIENCES(Q2)

ISSN	1309-1042
h-index	71

Publication Information	Publisher: Elsevier B.V.，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2010，Proportion of original research papers: 98.39%，Self Citation Rate:10.30%， Gold OA Rate: 19.42%
Average review cycle	网友分享经验：较慢,6-12周
Average recruitment ratio	网友分享经验：容易

Atmospheric Pollution Research

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