Aerosol and Air Quality Research最新文献

筛选
英文 中文
Ambient PM2.5 temporal variation and source apportionment in Mbarara, Uganda. 乌干达姆巴拉拉环境 PM2.5 的时间变化和来源分配。
IF 2.5 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2024-04-01 Epub Date: 2024-01-05 DOI: 10.4209/aaqr.230203
Silver Onyango, Crystal M North, Hatem A Ellaithy, Paul Tumwesigye, Choong-Min Kang, Vasileios Matthaios, Martin Mukama, Nuriat Nambogo, J Mikhail Wolfson, Stephen Ferguson, Stephen Asiimwe, Lynn Atuyambe, Data Santorino, David C Christiani, Petros Koutrakis
{"title":"Ambient PM<sub>2.5</sub> temporal variation and source apportionment in Mbarara, Uganda.","authors":"Silver Onyango, Crystal M North, Hatem A Ellaithy, Paul Tumwesigye, Choong-Min Kang, Vasileios Matthaios, Martin Mukama, Nuriat Nambogo, J Mikhail Wolfson, Stephen Ferguson, Stephen Asiimwe, Lynn Atuyambe, Data Santorino, David C Christiani, Petros Koutrakis","doi":"10.4209/aaqr.230203","DOIUrl":"10.4209/aaqr.230203","url":null,"abstract":"<p><p>Air pollution is the leading environmental cause of death globally, and most mortality occurs in resource-limited settings such as sub-Saharan Africa. The African continent experiences some of the worst ambient air pollution in the world, yet there are relatively little African data characterizing ambient pollutant levels and source admixtures. In Uganda, ambient PM<sub>2.5</sub> levels exceed international health standards. However, most studies focus only on urban environments and do not characterize pollutant sources. We measured daily ambient PM<sub>2.5</sub> concentrations and sources in Mbarara, Uganda from May 2018 through February 2019 using Harvard impactors fitted with size-selective inlets. We compared our estimates to publicly available levels in Kampala, and to World Health Organization (WHO) air quality guidelines. We characterized the leading PM<sub>2.5</sub> sources in Mbarara using x-ray fluorescence and positive matrix factorization. Daily PM<sub>2.5</sub> concentrations were 26.7 μg m<sup>-3</sup> and 59.4 μg m<sup>-3</sup> in Mbarara and Kampala, respectively (p<0.001). PM<sub>2.5</sub> concentrations exceeded WHO guidelines on 58% of days in Mbarara and 99% of days in Kampala. In Mbarara, PM<sub>2.5</sub> was higher in the dry as compared to the rainy season (30.8 vs 21.3, p<0.001), while seasonal variation was not observed in Kampala. PM<sub>2.5</sub> concentrations did not vary on weekdays versus weekends in either city. In Mbarara, the six main ambient PM<sub>2.5</sub> sources identified included (in order of abundance): traffic-related, biomass and secondary aerosols, industry and metallurgy, heavy oil and fuel combustion, fine soil, and salt aerosol. Our findings confirm that air quality in southwestern Uganda is unsafe and that mitigation efforts are urgently needed. Ongoing work focused on improving air quality in the region may have the greatest impact if focused on traffic and biomass-related sources.</p>","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"24 ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212479/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141465431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-World Effectiveness of Portable Air Cleaners in Reducing Home Particulate Matter Concentrations. 便携式空气净化器在降低家庭微粒物质浓度方面的实际效果。
IF 4 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2024-01-01 Epub Date: 2023-11-22 DOI: 10.4209/aaqr.230202
Frederic T Lu, Robert J Laumbach, Alicia Legard, Nirmala T Myers, Kathleen G Black, Pamela Ohman-Strickland, Shahnaz Alimokhtari, Adriana de Resende, Leonardo Calderón, Gediminas Mainelis, Howard M Kipen
{"title":"Real-World Effectiveness of Portable Air Cleaners in Reducing Home Particulate Matter Concentrations.","authors":"Frederic T Lu, Robert J Laumbach, Alicia Legard, Nirmala T Myers, Kathleen G Black, Pamela Ohman-Strickland, Shahnaz Alimokhtari, Adriana de Resende, Leonardo Calderón, Gediminas Mainelis, Howard M Kipen","doi":"10.4209/aaqr.230202","DOIUrl":"https://doi.org/10.4209/aaqr.230202","url":null,"abstract":"<p><p>Portable air cleaners (PACs) equipped with HEPA filters are gaining attention as cost-effective means of decreasing indoor particulate matter (PM) air pollutants and airborne viruses. However, the performance of PACs in naturalistic settings and spaces beyond the room containing the PAC is not well characterized. We conducted a single-blinded randomized cross-over interventional study between November 2020 and May 2021 in the homes of adults who tested positive for COVID-19. The intervention was air filtration with PAC operated with the HEPA filter set installed (\"filter\" condition) versus removed (\"sham\" condition, i.e., control). Sampling was performed in 29 homes for two consecutive 24-hour periods in the primary room (containing the PAC) and a secondary room. PAC effectiveness, calculated as reductions in overall mean PM<sub>2.5</sub> and PM<sub>10</sub> concentrations during the filter condition, were for the primary rooms 78.8% and 63.9% (n = 23), respectively, and for the secondary rooms 57.9% and 60.4% (n = 22), respectively. When a central air handler (CAH) was reported to be in use, filter-associated reductions of PM were statistically significant during the day (06:00-22:00) and night (22:01-05:59) in the primary rooms but only during the day in the secondary rooms. Our study adds to the literature evaluating the real-world effects of PACs on a secondary room and considering the impact of central air systems on PAC performance.</p>","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"24 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11014421/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140846846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of Future Climate Change on Stratosphere-to-Troposphere-Exchange Driven Ozone in the Northern Hemisphere. 未来气候变化对北半球平流层-对流层交换驱动的臭氧的影响。
IF 2.5 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-12-01 DOI: 10.4209/aaqr.220414
Shovan Kumar Sahu, Lei Chen, Song Liu, Jia Xing, Rohit Mathur
{"title":"Effect of Future Climate Change on Stratosphere-to-Troposphere-Exchange Driven Ozone in the Northern Hemisphere.","authors":"Shovan Kumar Sahu, Lei Chen, Song Liu, Jia Xing, Rohit Mathur","doi":"10.4209/aaqr.220414","DOIUrl":"10.4209/aaqr.220414","url":null,"abstract":"<p><p>Future estimates of atmospheric pollutant concentrations serve as critical information for policy makers to formulate current policy indicators to achieve future targets. Tropospheric burden of O<sub>3</sub> is modulated not only by anthropogenic and natural precursor emissions, but also by the downward transport of O<sub>3</sub> associated with stratosphere to troposphere exchange (STE). Hence changes in the estimates of STE and its contributions are key to understand the nature and intensity of future ground level O<sub>3</sub> concentrations. The difference in simulated O<sub>3</sub> mixing ratios with and without the O<sub>3</sub>-Potential Vorticity (PV) parameterization scheme is used to represent the model estimated influence of STE on tropospheric O<sub>3</sub> distributions. Though STE contributions remain constant in Northern hemisphere as a whole, regional differences exist with Europe (EUR) registering increased STE contribution in both spring and winter while Eastern China (ECH) reporting increased contribution in spring in 2050 (RCP8.5) as compared to 2015. Importance of climate change can be deduced from the fact that ECH and EUR recorded increased STE contribution to O<sub>3</sub> in RCP8.5 compared to RCP4.5. Comparison of STE and non-STE meteorological process contributions to O<sub>3</sub> due to climate change revealed that contributions of non-STE processes were highest in summer while STE contributions were highest in winter. EUR reported highest STE contribution while ECH reported highest non-STE contribution. None of the 3 regions show consistent low STE contribution due to future climate change (< 50%) in all seasons indicating the significance of STE to ground level O<sub>3</sub>.</p>","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":"1-15"},"PeriodicalIF":2.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10802885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of E-Cigarette Liquid Ratios on the Gravimetric Filter Correction Factors and Real-Time Measurements. 电子烟液体比率对重力过滤校正系数和实时测量的影响
IF 4 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-10-01 Epub Date: 2023-07-28 DOI: 10.4209/aaqr.230011
Austin Close, Jane Blackerby, Heather Tunnell, Jack Pender, Eric Soule, Sinan Sousan
{"title":"Effects of E-Cigarette Liquid Ratios on the Gravimetric Filter Correction Factors and Real-Time Measurements.","authors":"Austin Close, Jane Blackerby, Heather Tunnell, Jack Pender, Eric Soule, Sinan Sousan","doi":"10.4209/aaqr.230011","DOIUrl":"10.4209/aaqr.230011","url":null,"abstract":"<p><p>Electronic cigarettes (ECIGs) generate high concentrations of particulate matter (PM), impacting the air quality inhaled by humans through secondhand exposure. ECIG liquids are available commercially and some users create their own \"do-it-yourself\" liquids, and these liquids often vary in the amounts of their chemical ingredients, including propylene glycol (PG) and vegetable glycerin (VG). Previous studies have quantified PM concentrations in ECIG aerosol generated from liquids containing different PG/VG ratios. However, the effects of these ratios on aerosol instrument filter correction factors needed to measure PM concentrations accurately have not been assessed. Thus, ECIG aerosol filter correction factors for multiple aerosol instruments (SMPS + APS, MiniWRAS, pDR, and SidePak) were determined for five different PG/VG ratios 1) 0PG/100VG, 2) 15PG/85VG, 3) 50PG/50VG, 4) 72PG/28VG, and 5) 90PG/10VG and two different PM sizes, PM<sub>1</sub> (1 μm and smaller) and PM<sub>2.5</sub> (2.5 μm and smaller). ECIG aerosols were generated inside a controlled exposure chamber using a diaphragm pump and a refillable ECIG device for all the ratios. In addition, the aerosol size distribution and mass median diameter were measured for all five ECIG ratios. PM<sub>2.5</sub> correction factors (5-7.6) for ratios 1, 2, 3, and 4 were similar for the SMPS + APS combined data, and ratios 1, 2, 3 were similar for the MiniWRAS (~2), pDR (~0.5), and SidePak (~0.24). These data suggest different correction factors may need to be developed for aerosol generated from ECIGs with high PG content. The higher correction factor values for the 90PG/10VG ratio may have resulted from greater PG volatility relative to VG and sensor losses. The correction factors (ratios 1-4) for PM<sub>2.5</sub> were SMPS + APS data (4.96-7.62), MiniWRAS (2.02-3.64), pDR (0.50-1.07), and SidePak (0.22-0.40). These data can help improve ECIG aerosol measurement accuracy for different ECIG mixture ratios.</p>","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10947168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70296064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Chronic Obstructive Pulmonary Disease and Lung Cancer Mortality Attributed to Air Pollution in Turkey in 2019 2019年土耳其空气污染导致的慢性阻塞性肺病和肺癌死亡率
4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-01-01 DOI: 10.4209/aaqr.230144
Didem Han Yekdeş, Ali Cem Yekdeş, Ülfiye Çelikkalp, Pelin Sarı Serin, Miraç Çağlayan, Galip Ekuklu
{"title":"Chronic Obstructive Pulmonary Disease and Lung Cancer Mortality Attributed to Air Pollution in Turkey in 2019","authors":"Didem Han Yekdeş, Ali Cem Yekdeş, Ülfiye Çelikkalp, Pelin Sarı Serin, Miraç Çağlayan, Galip Ekuklu","doi":"10.4209/aaqr.230144","DOIUrl":"https://doi.org/10.4209/aaqr.230144","url":null,"abstract":"Approximately seven million premature deaths occured due to several health problems caused by air pollution. In this study, we aimed to calculate the mortality rates of lung cancer and Chronic Obstructive Pulmonary Disease (COPD) attributed to PM2.5 in Türkiye in 2019. The universe of the research consists of the entire Türkiye region. Air quality data was obtained from the official website of the Ministry of Environment, Urbanization and Climate Change of the Republic of Türkiye. Lung cancer and COPD mortality data were collected from the official website of the Turkish Statistical Institute by a special request. Mortality rates attributed to PM2.5 were calculated with the WHO AIRQ+ program, and the monthly percent change (MPC) in air pollution level was computed by the JP regression method. The annual average values of PM2.5 and PM10 for 2019 in Türkiye were calculated to be 28.82 µg m-3 and 48.08 µg m-3, respectively. The mortality rate attributed to PM2.5 for lung cancer is 15% whereas the mortality rate attributed to PM2.5 for COPD is 22%. Except two Nomenclature d'Unités Territoriales Statistiques (NUTS) regions (TR1, TR7) all other regions have statisitcally significant one joinpoint. As a conclusion, the PM2.5 average values for 2019 in Türkiye are over the limits for both the national legislation and the World Health Organization (WHO). Taking precautions to control air pollution sources and determination of legitinate national PM2.5 limits should be prioritized. Thus, one out of every six deaths from lung cancer and one out of every five deaths from COPD can be prevented.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136303710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterizing PM2.5 Secondary Aerosols via a Fusion Strategy of Two-stage Positive Matrix Factorization and Robust Regression 基于两阶段正矩阵分解和稳健回归融合策略的PM2.5二次气溶胶表征
4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-01-01 DOI: 10.4209/aaqr.230121
Chun-Sheng Huang, Ho-Tang Liao, Chia-Yang Chen, Li-Hao Young, Ta-Chih Hsiao, Tsung-I Chou, Jyun-Min Chang, Kuan-Lin Lai, Chang-Fu Wu
{"title":"Characterizing PM2.5 Secondary Aerosols via a Fusion Strategy of Two-stage Positive Matrix Factorization and Robust Regression","authors":"Chun-Sheng Huang, Ho-Tang Liao, Chia-Yang Chen, Li-Hao Young, Ta-Chih Hsiao, Tsung-I Chou, Jyun-Min Chang, Kuan-Lin Lai, Chang-Fu Wu","doi":"10.4209/aaqr.230121","DOIUrl":"https://doi.org/10.4209/aaqr.230121","url":null,"abstract":"Positive Matrix Factorization (PMF) is a commonly used receptor model for source apportionment of PM2.5. However, PMF results often retrieve an individual factor mainly composed of secondary aerosols, making it difficult to link with primary emission sources and formulate effective air pollution control strategies. To overcome this limitation, we employed a two-stage PMF modeling approach with adjustments of the species weighting, which was fused with a robust regression model to better characterize the sources of PM2.5 secondary aerosols. Additionally, organic molecular tracers were incorporated into PMF for source identification. A field campaign was conducted between May and December 2021 in Taichung, Taiwan. An improved PMF model was utilized to resolve the multiple time resolution data of 3-h online and 24-h offline measurements of PM2.5 compositions. Retrieved factors from PMF were averaged over 24-h intervals and then applied in robust regression analysis to re-apportion the contributions. Comparing with conventional PMF, downweighting the secondary aerosol-related species in the model was more effective in linking them to primary emission sources. The results from fusion models showed that the majority of secondary aerosols (sum of secondary aerosol-related species = 2.67 μg m-3) within three hours were mainly contributed by oil combustion, while the largest contributor of secondary aerosols (1.65 μg m-3) over 24 hours was industry, highlighting the need for regulation of these two sources based on various temporal scales. The developed fusion strategy of two-stage PMF and robust regression provided refined results and can aid in the management of PM2.5.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135909757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Annual Variation of PM2.5 Chemical Composition in Ho Chi Minh City, Vietnam Including the COVID-19 Outbreak Period 包括COVID-19暴发期在内的越南胡志明市PM2.5化学成分的年变化
IF 4 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-01-01 DOI: 10.4209/aaqr.220312
N. Tran, Y. Fujii, V. X. Le, Doan Thien Chi Nguyen, H. Okochi, To Thi Hien, N. Takenaka
{"title":"Annual Variation of PM2.5 Chemical Composition in Ho Chi Minh City, Vietnam Including the COVID-19 Outbreak Period","authors":"N. Tran, Y. Fujii, V. X. Le, Doan Thien Chi Nguyen, H. Okochi, To Thi Hien, N. Takenaka","doi":"10.4209/aaqr.220312","DOIUrl":"https://doi.org/10.4209/aaqr.220312","url":null,"abstract":"PM2.5 was continuously collected in Ho Chi Minh City (HCMC), Vietnam, during the period from September 2019 to August 2020, which included the period of socioeconomic suppression caused by restrictions imposed in the face of the coronavirus disease of 2019. The concentrations of PM2.5 mass, water-soluble ions (WSIs), organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC) were determined to evaluate the seasonal variations in PM2.5, the effect of socioeconomic suppression on PM2.5, and potential PM2.5 sources in HCMC. The PM2.5 mass concentration during the sampling period was 28.44 +/- 11.55 mu g m(-3) (average +/- standard deviation). OC, EC, and total WSIs accounted for 30.7 +/- 6.6%, 9.7 +/- 2.9%, and 24.9 +/- 6.6% of the PM2.5 mass, respectively. WSOC contributed 46.4 +/- 10.1% to OC mass. NO3-, SO42-, and NH4+ were the dominant species in WSIs (72.7 +/- 17.7% of the total WSIs' mass). The concentrations of PM2.5 mass and total WSIs during the rainy season were lower than those during the dry season, whereas the concentrations of carbonaceous species during the rainy season were higher. The concentrations of PM2.5 mass and chemical species during the socioeconomic suppression period significantly decreased by 45%-61% compared to the values before this period. The OC/EC ratio (3.28 +/- 0.61) and char-EC/soot-EC (4.88 +/- 2.72) suggested that biomass burning, coal combustion, vehicle emissions, cooking activities are major PM2.5 sources in HCMC. Furthermore, the results of a concentration-weighted trajectory analysis suggested that the geological sources of PM2.5 were in the local areas of HCMC and the northeast provinces of Vietnam (where coal-fired power plants are located).","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70294364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Comparison of Airborne Bacterial Populations Determined by Passive and Active Air Sampling at Puy de Dôme, France 法国Puy de Dôme被动和主动空气采样测定的空气细菌数量的比较
IF 4 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-01-01 DOI: 10.4209/aaqr.220403
K. P. Dillon, Romie Tignat-Perrier, M. Joly, S. N. Grogan, Catherine Larose, P. Amato, G. Mainelis
{"title":"Comparison of Airborne Bacterial Populations Determined by Passive and Active Air Sampling at Puy de Dôme, France","authors":"K. P. Dillon, Romie Tignat-Perrier, M. Joly, S. N. Grogan, Catherine Larose, P. Amato, G. Mainelis","doi":"10.4209/aaqr.220403","DOIUrl":"https://doi.org/10.4209/aaqr.220403","url":null,"abstract":"Bioaerosols have impacts on atmospheric processes, as well as ecosystem and human health. Common bioaerosol collection methods include impaction, liquid impingement, filtration","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"301 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models 多个PM低成本传感器,多个季节数据和多个校准模型
IF 4 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-01-01 DOI: 10.4209/aaqr.220428
Srishti Singh, Pratyush Agrawal, P. Kulkarni, H. Gautam, Meenakshi Kushwaha, V. Sreekanth
{"title":"Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models","authors":"Srishti Singh, Pratyush Agrawal, P. Kulkarni, H. Gautam, Meenakshi Kushwaha, V. Sreekanth","doi":"10.4209/aaqr.220428","DOIUrl":"https://doi.org/10.4209/aaqr.220428","url":null,"abstract":"In this study, we combined state-of-the-art data modelling techniques (machine learning [ML] methods) and data from state-of-the-art low-cost particulate matter (PM) sensors (LCSs) to improve the accuracy of LCS-measured PM 2.5 (PM with aerodynamic diameter less than 2.5 microns) mass concentrations. We collocated nine LCSs and a reference PM 2.5 instrument for 9 months, covering all local seasons, in Bengaluru, India. Using the collocation data, we evaluated the performance of the LCSs and trained around 170 ML models to reduce the observed bias in the LCS-measured PM 2.5 . The ML models included (i) Decision Tree, (ii) Random Forest (RF), (iii) eXtreme Gradient Boosting, and (iv) Support Vector Regression (SVR). A hold-out validation was performed to assess the model performance. Model performance metrics included (i) coefficient of determination (R 2 ), (ii) root mean square error (RMSE), (iii) normalised RMSE, and (iv) mean absolute error. We found that the bias in the LCS PM 2.5 measurements varied across different LCS types (RMSE = 8– 29 µ g m –3 ) and that SVR models performed best in correcting the LCS PM 2.5 measurements. Hyperparameter tuning improved the performance of the ML models (except for RF). The performance of ML models trained with significant predictors (fewer in number than the number of all predictors, chosen based on recursive feature elimination algorithm) was comparable to that of the ‘all predictors’ trained models (except for RF). The performance of most ML models was better than that of the linear models. Finally, as a research objective, we introduced the collocated black carbon mass concentration measurements into the ML models but found no significant improvement in the model performance.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China 中国东部季风区地形和天气系统对PM2.5的空间特征及影响
IF 4 4区 环境科学与生态学
Aerosol and Air Quality Research Pub Date : 2023-01-01 DOI: 10.4209/aaqr.220393
Shengli Zhu, Zhaowen Wang, Kai Qu, Jun Xu, Ji Zhang, Haiyi Yang, Wenxin Wang, X. Sui, Minghua Wei, Houfeng Liu
{"title":"Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China","authors":"Shengli Zhu, Zhaowen Wang, Kai Qu, Jun Xu, Ji Zhang, Haiyi Yang, Wenxin Wang, X. Sui, Minghua Wei, Houfeng Liu","doi":"10.4209/aaqr.220393","DOIUrl":"https://doi.org/10.4209/aaqr.220393","url":null,"abstract":"Based on the PM 2.5 concentration in the autumn and winter of 2015–2019, the characteristics of urban air pollution in the eastern monsoon region of China were discussed. The spatial distribution and interregional influence of fine particle pollution under different synoptic weather and topography in the eastern monsoon region of China were illustrated. According to synoptic systems, regional PM 2.5 pollution episodes were classified into three categories, including Uniform Pressure field (UP, 60.00%), Pre-High Pressure (PreHP, 30.91%) and Inverted-Trough (IT, 9.09%). The K-Means algorithm combined with the HYSPLIT backward trajectory clustering analysis indicated four clusters under UP controlled, and under weak pressure field was responsible for the elevation of PM 2.5 concentration, where the Beijing-Tianjin-Hebei and its surrounding areas were the most polluted region. For PreHP, four clusters eased after cold front. For IT, three clusters were ascertained, and the severe PM 2.5 pollution area was in the central and southern of the North China Plain. This study provided a scientific basis for the joint prevention of PM 2.5 pollution based on topographic and meteorological characteristics in Eastern China.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信