Atmospheric Environment最新文献

{"title":"A comparison of meteorological normalization of PM2.5 by multiple linear regression, general additive model, and random forest methods","authors":"Ling Qi ,&nbsp;Haotian Zheng ,&nbsp;Dian Ding ,&nbsp;Shuxiao Wang","doi":"10.1016/j.atmosenv.2024.120854","DOIUrl":"10.1016/j.atmosenv.2024.120854","url":null,"abstract":"<div><div>PM_2.5 is still one of the major atmospheric pollutants worldwide. Extracting contributions of anthropogenic emission control from the observed PM_2.5 variations (PM_{2.5_anth}), which are also strongly affected by meteorological changes, is critical for effective pollution control. Statistical and machine learning methods are usually used for such purpose, but the effectiveness of these methods is hard to evaluate due to the lack of observed anthropogenic contributions. In this study, we use the chemical transport model GEOS-Chem standard simulation to mimic PM_2.5 variability in the real atmosphere, and use the model simulation with fixed meteorological fields as the “true value” for PM_{2.5_anth}. We evaluate the effectiveness of three methods in meteorological normalization of PM_2.5 on decadal (2006–2017) and synoptic (one month) scale: multiple linear regression (MLR), general additive model (GAM), and random forest (RF) algorithm. For meteorological normalization of PM_2.5 on decadal scale, 67–72% of the MLR simulations show positive biases and 56–75% of the RF simulations show negative biases. The “true value” of PM_{2.5_anth} falls within the range of meteorological normalization results of the three methods in most cases, but consistent positive/negative biases are observed in ∼30% of the cases, when meteorological changes dominate PM_2.5 variability. In addition, the biases are correlated to the contribution of meteorological changes. As such, multiple statistical or machine learning methods are recommended to quantify the uncertainties associated with method choice in cases anthropogenic emission changes dominate PM_2.5 variability. On synoptic scale, RF performs better in reproducing the daily variations of the PM_{2.5_anth} differences than MLR (GAM) in all (83% of) the cases, and is recommended for meteorological normalization of PM_2.5 in short-term in eastern China.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120854"},"PeriodicalIF":4.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Spatial heterogeneity of volatile organic compound pollution in a typical industrial park based on multi-point online monitoring: Pollution characteristics, health risks, and priority-controlled species","authors":"Mengjuan Han ,&nbsp;Ge Ren ,&nbsp;Xinna Zhao ,&nbsp;Xiaodong Zhang ,&nbsp;Hong Lin ,&nbsp;Dan Liu ,&nbsp;Lei Wang","doi":"10.1016/j.atmosenv.2024.120852","DOIUrl":"10.1016/j.atmosenv.2024.120852","url":null,"abstract":"<div><div>Emissions from industrial parks are crucial sources of ambient volatile organic compound (VOC) pollution, characterized by high concentrations, complex compositions, dispersed emission sources, and uneven spatial distribution. To better understand and address this issue, it is crucial to analyze the spatial differences in VOC pollution and associated health risks through multi-point monitoring. In this study, we established four online monitoring sites in a typical industrial park in Kaifeng, China. We monitored 115 VOC species and found significant differences in the concentration and chemical composition of total VOCs (TVOCs) among the four sites. Two sites were primarily composed of halohydrocarbons (49.80% and 41.21%), while the other two sites had a higher proportion of aromatics (54.78% and 39.03%). Acetaldehyde was the main contributor to ozone formation potential (OFP) at one site, while toluene was associated with the other three sites. The site with the highest VOC concentration and OFP also showed the highest secondary organic aerosol formation potential (SOAP). In terms of health risk assessment, acrolein posed a non-carcinogenic risk at all sites, but there were disparities in the carcinogenic risk among the four sites. 1,2-Dichloroethane at one site exceeded the definite risk limit, while 1,2-dibromoethane and chloroform were considered probable risk species at another site. Considering both the environmental impact and health risk, we used entropy-weighting to calculate a comprehensive control index (CCI). This index identified 1,2-dichloroethane as the Level Ⅰ controlled pollutant species at two sites, and toluene at the other two sites. This study highlights the spatial heterogeneity in VOC pollution and health risks within the industrial park, providing valuable insights for targeted pollution control strategies.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120852"},"PeriodicalIF":4.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Gaseous and aerosol emissions from open burning of tree pruning and hedge trimming residues: Detailed composition and toxicity","authors":"A. López-Caravaca ,&nbsp;E.D. Vicente ,&nbsp;D. Figueiredo ,&nbsp;M. Evtyugina ,&nbsp;J.F. Nicolás ,&nbsp;E. Yubero ,&nbsp;N. Galindo ,&nbsp;Jiří Ryšavý ,&nbsp;C.A. Alves","doi":"10.1016/j.atmosenv.2024.120849","DOIUrl":"10.1016/j.atmosenv.2024.120849","url":null,"abstract":"<div><div>Gaseous and PM₁₀ samples were collected during the open burning of pruning residues (olive branches and garden waste) and characterised by distinct analytical techniques to obtain comprehensive chemical emission profiles. Oxidative potential (dithiothreoitol and ascorbic acid assays) and cell viability tests were also performed with the aim of evaluating aerosol toxicity. Emission factors (EFs) were as follows (g kg⁻¹ biofuel, dry basis): 1537–1672 for CO₂, 41.9–80 for CO, 2.74–6.6 for CH₄, 0.89–3.51 for ethane, 0.79–1.78 for ethylene and 0.56–3.47 for formaldehyde. Emissions of PM₁₀, organic carbon (OC) and elemental carbon (EC) were in the ranges 8–41, 3–18, and 0.4–1.5 g kg⁻¹ biofuel, dry basis, respectively. OC accounted for 35–45% of the total PM₁₀ mass, while EC contributed between around 3% and 5%. WSOC/OC ratios varied from 0.4 to 0.6, revealing that a substantial portion of the carbon emitted was hydrosoluble. Water soluble ions constituted around 8–21% of the PM₁₀ mass, with potassium and chloride as the most abundant ions in all samples. Levoglucosan, widely used a reliable biomass burning tracer, was found in significant amounts in all samples (up to 1.2% of the PM₁₀ mass). Retene, generally pointed out as a biomass combustion biomarker, was the predominant PAH. WSOC and some PAHs showed significant positive correlations with the intrinsic OP measured with the DTT assay, while the OP^AA was significantly correlated with some trace metals, such as Fe or Ni. All samples significantly reduced the viability of alveolar epithelial cells.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120849"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Surface exchange of HONO over paddy fields in the Pearl River Delta, China","authors":"Baobin Han ,&nbsp;Yingjie Zhang ,&nbsp;Wenda Yang ,&nbsp;Yihang Yu ,&nbsp;Ke Tang ,&nbsp;Yujie Tian ,&nbsp;Yucheng Gong ,&nbsp;Bingna Chen ,&nbsp;Peng Cheng","doi":"10.1016/j.atmosenv.2024.120853","DOIUrl":"10.1016/j.atmosenv.2024.120853","url":null,"abstract":"<div><div>Soil can release HONO, affecting atmospheric oxidation and tropospheric chemistry processes through the production of hydroxyl radicals (OH) and nitric oxide (NO) via photolysis. However, there is limited field observation of HONO flux, hindering a comprehensive understanding of its emission mechanisms. In this study, a dual open-top chambers system combined with a long path absorption photometer (LOPAP) was employed to measure HONO flux from paddy fields in the Pearl River Delta area (PRD), showing good reproducibility and effectivity to mitigate greenhouse effects. The average HONO flux was 0.77 ± 0.72 ng N m⁻² s⁻¹, displaying a diurnal pattern of higher fluxes during the day and lower fluxes at night, similar to previous flux observations. A strong linear correlation between the HONO flux with the product of NO₂ and solar radiation (R² = 0.90) suggests that surface reactions involving NO₂ and sunlight may dominate HONO production from the paddy fields, surpassing microbial activity within the soil. Given the diversity of field environments, more field observations are needed for assessing emission rates of HONO and understanding underlying mechanisms.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120853"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Ground ozone rise during the 2022 shanghai lockdown caused by the unfavorable emission reduction ratio of nitrogen oxides and volatile organic compounds","authors":"Qian Wang ,&nbsp;Yuewu Li ,&nbsp;Fangqian Zhong ,&nbsp;Wanqi Wu ,&nbsp;Hongliang Zhang ,&nbsp;Rong Wang ,&nbsp;Yusen Duan ,&nbsp;Qingyan Fu ,&nbsp;Qing Li ,&nbsp;Lin Wang ,&nbsp;Shaocai Yu ,&nbsp;Abdewahid Mellouki ,&nbsp;David C. Wong ,&nbsp;Jianmin Chen","doi":"10.1016/j.atmosenv.2024.120851","DOIUrl":"10.1016/j.atmosenv.2024.120851","url":null,"abstract":"<div><div>Ground-level ozone (O₃) pollution has shifted from a scientific issue to a key focus of governmental action in China. In recent years, the concentration of NO₂ in Shanghai has shown a decreasing trend of 3.7% annually, but ozone concentrations have exhibited significant interannual variability, particularly with a noticeable increase in 2022. This study focuses on investigating the mechanisms behind the increase in ozone concentration during the COVID-19 pandemic control period in 2022 in Shanghai, utilizing a combination of ground observation data, observation-based models, and chemical transport models for analysis. The results indicate that during the lockdown period, the mean values of daily maximum 8-h average O₃ concentrations (MDA8 O₃) in Shanghai increased by 17 μg/m³, with emission-related factors contributing 65.3%, primarily due to a blanket reduction in VOCs and NOx emissions during the lockdown, with a reduction ratio close to 1:1. However, this reduction ratio and intensity are not sufficiently reasonable to alleviate ozone pollution. Meanwhile, adverse meteorological conditions further exacerbated this effect, contributing 34.7%, with temperature rise having the greatest impact. Results from the chemical transport model show that with the total reduction in NOx and VOCs emissions unchanged, the greater the reduction in VOC emissions and the better the reduction effect on ozone pollution, reducing MDA8 O₃ by approximately 10 μg/m³, especially for the control of reactive compounds such as alkenes, aromatics, and OVOCs. However, if the reduction ratio of NOx is greater than that of VOCs, ozone concentrations may not decrease but instead increase. This indicates that ozone concentration is influenced not only by the intensity of emissions reduction but also by the ratio of emissions reduction between NOx and VOCs. Our study emphasizes the critical role of carefully designed strategies, focusing on controlling the ratio of VOCs to NOx and increasing the intensity of VOCs reduction, to effectively alleviate ozone pollution in urban areas.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"340 ","pages":"Article 120851"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Provenance of mineral dust deposited on Antarctica over the last sixty years by strontium isotopic analysis of snow from Dome C","authors":"Maria Alessia Vecchio ,&nbsp;Marta Costas-Rodríguez ,&nbsp;Laura Caiazzo ,&nbsp;Federica Bruschi ,&nbsp;Kasper Hobin ,&nbsp;Frank Vanhaecke ,&nbsp;Marco Grotti","doi":"10.1016/j.atmosenv.2024.120850","DOIUrl":"10.1016/j.atmosenv.2024.120850","url":null,"abstract":"<div><div>The strontium (Sr) concentration and ⁸⁷Sr/⁸⁶Sr isotope ratio have been determined in 132 snow pit samples collected at Dome C, on the East Antarctic Plateau, corresponding to the period 1958–2019, and in 12 surface snow samples collected at the same site in 2016–2017. The average Sr concentration was 8.1 ± 5.7 pg g⁻¹ (mean ± SD) in snow pit samples and 10.1 ± 8.0 pg g⁻¹ (mean ± SD) in surface snow, without any significant temporal trend. The ⁸⁷Sr/⁸⁶Sr isotope ratio showed small variations (&lt;0.15%), with an average ⁸⁷Sr/⁸⁶Sr value of 0.7094 ± 0.0010 (mean ± SD) in snow pit and 0.7103 ± 0.0004 (mean ± SD) in surface snow samples. These results seem to suggest that no change in the source(s) of mineral dust has occurred throughout the period investigated.</div><div>Comparison of the ⁸⁷Sr/⁸⁶Sr isotope ratio of the snow samples with those of potential source areas suggests that the mineral dust reaching the East Antarctic plateau over the last decades is of a mixed origin, with a contribution from Patagonia and one or more other source(s) having a more radiogenic Sr isotopic signature, with a major fraction coming from South Australia.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120850"},"PeriodicalIF":4.2,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Sources and formation of fine size-fractionated particulate matters during smoke haze episode in Northern Thailand in relation to polycyclic aromatic hydrocarbons and carbonaceous composition","authors":"Nuttipon Yabueng ,&nbsp;Wittawat Insian ,&nbsp;Somporn Chantara","doi":"10.1016/j.atmosenv.2024.120845","DOIUrl":"10.1016/j.atmosenv.2024.120845","url":null,"abstract":"<div><div>Air pollution in upper Southeast Asia (SEA) has become critical particularly regarding atmospheric particles. This study aims to investigate the sources and formation of fine size-fractionated particulate matters (FSPMs), as well as their potential impact on climate. Particulate matter in three size ranges (2.1–1.1 μm, 1.1–0.65 μm, and 0.65–0.43 μm) was collected using cascade impactors in rural Chiang Dao (CD) and urban Chiang Mai (CM) during the smoke haze period (March–April 2019) in Chiang Mai, Thailand. The average concentration of FSPM was approximately 1.3 times higher in rural CD (88 ± 34 μg/m³) than in urban CM (66 ± 26 μg/m³). Both areas showed significantly higher concentrations of finer particles, with rural CD detecting 41 ± 17 μg/m³ (46% of FSPM) and urban CM presenting 27 ± 11 μg/m³ (41% of FSPM). Total carbon (TC) concentrations, including organic carbon (OC) and elemental carbon (EC), showed the same pattern as PMs. The most abundant fractions, including OC3 (32–45% of total OC) and EC1 (91–100% of total EC) in FSPM samples, particularly in fine particles (PM1), suggest that biomass burning was the primary source. Source classification based on diagnostic ratios of polycyclic aromatic hydrocarbons (PAHs), OC/EC ratios, combined with primary and secondary formations, revealed that PM_2.1-1.1 was influenced by biomass burning and secondary organic carbon (SOC), while PM_0.65-0.43 originated from both SOC and vehicular emissions. PM_1.1-0.65 in the rural area was probably caused by SOC and other mixed sources, whereas SOC and vehicular emissions were the main source in urban CM. With respect to the effective carbon ratio (ECR), lower values were observed in finer particles (0.37 ± 0.15 in rural CD and 0.36 ± 0.38 in urban CM), suggesting enhanced light-absorbing properties of fine particulate matter during the haze period in the upper SEA region.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120845"},"PeriodicalIF":4.2,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Inversing NOx emissions based on an optimization model that combines a source-receptor relationship correction matrix and monitoring data: A case study in Linyi, China","authors":"Mengzhen Li ,&nbsp;Jianlei Lang ,&nbsp;Ying Zhou ,&nbsp;Zeya Shen ,&nbsp;Dongsheng Chen ,&nbsp;Jia Li ,&nbsp;Shuiyuan Cheng","doi":"10.1016/j.atmosenv.2024.120848","DOIUrl":"10.1016/j.atmosenv.2024.120848","url":null,"abstract":"<div><div>Inversion based on observational data and the source-receptor relationship (SRR) simulated by an air quality model is an effective means to estimate NO_x emissions. However, the SRR bias induced by the inherent uncertainty of the simulated model leads to potential errors in the inversed emissions, but this is seldom considered in NO_x inversion. In this study, we constructed an inversion model based on the SRR correction (IMSC) by introducing a correction matrix, combined with joint regularization scheme and genetic algorithm. We innovated the dynamic acquisition method of center-restricted parameters for the correction matrix, combined this with other parts of the IMSC, attaining the multi-month and multi-region pollutant emission inversion. Hypothetical examples demonstrated that the IMSC effectively corrected the SRR and accurately estimated the NO_x emissions. The IMSC was used to estimate Linyi county-level NO_x emissions for January, April, July and October (typical months) during 2020 and 2021. An inversion model without SRR correction (IMWSC) was developed for comparison with the IMSC. Results showed that the IMSC more accurately, robustly, and reasonably estimated NO_x emissions. Compared to the IMWSC, the IMSC improved the mean correlation between NO_x emissions and NO₂ observational concentrations by 25.0%, enhancing the correlation between NO_x emissions and NO₂ column concentrations by 111.3%. The similar NO_x emission change ratios (σ_average = 5.1%) between the typical months in 2021 and 2020 among the different counties indicated a more robust performance of the IMSC than the IMWSC (σ_average = 55.2%). In addition, the NO_x emissions inversed by the IMSC also showed better consistency with social activity levels (i.e., electricity consumption). The typical monthly Linyi's county-level NO_x emission characterization was also studied. NO_x emissions were lower in April, July, and October 2021 than the same period in 2020 due to COVID-19 and pollution controls. This study provides strategies for swiftly and accurately estimating pollutant emissions.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120848"},"PeriodicalIF":4.2,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Source apportionment of Volatile Organic Compounds (VOCs) in the South Coast Air Basin (SoCAB) During RECAP-CA","authors":"Shenglun Wu ,&nbsp;Christopher P. Alaimo ,&nbsp;Peter G. Green ,&nbsp;Thomas M. Young ,&nbsp;Yusheng Zhao ,&nbsp;Shang Liu ,&nbsp;Toshihiro Kuwayama ,&nbsp;Michael J. Kleeman","doi":"10.1016/j.atmosenv.2024.120847","DOIUrl":"10.1016/j.atmosenv.2024.120847","url":null,"abstract":"<div><div>Ozone (O₃) concentrations in the South Coast Air Basin (SoCAB) surrounding Los Angeles remain at unhealthy levels despite multiple decades of control programs designed to reduce emissions of precursor Volatile Organic Compounds (VOCs). Here we report on comprehensive VOC measurements made at Redlands, which has the highest measured O₃ concentrations in SoCAB, as part of the Re-Evaluating the Chemistry of Air Pollutants in California (RECAP-CA) field campaign (July–October 2021). Positive matrix factorization (PMF) analysis was applied to identify nine VOC factors. A photochemical chamber model initialized by field measurements was configured with a tagging technique to quantify the VOC factor contributions to O₃ formation in Redlands. Biogenic VOCs (BVOCs) made the largest contribution (26.6%) to O₃ formation, followed by traffic VOCs (21.2%), volatile chemical products (VCPs) (19%), and plant decomposition (14.9%). High O₃ episodes were not driven by increased VOC emissions from any single source, but rather were associated with stagnation events that concentrated VOCs from all sources and high temperature days that enhanced O₃ formation efficiency. This implies that VOC controls optimized to reduce O₃ concentrations would look similar in both the NO_x-limited and VOC-limited regimes that can occur at Redlands. These results suggest that control strategies that reduce VOC and NO_x emissions from the on-road vehicle fleet, such as increasing electrification, may yield O₃ reductions on days in both the NO_x-limited and VOC-limited chemical regimes at Redlands.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120847"},"PeriodicalIF":4.2,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

{"title":"Human health impacts and indoor chemical reactions of VOCs from cleaning products and occupants","authors":"Rachna Bhoonah ,&nbsp;Maxence Mendez ,&nbsp;Alice Maury-Micolier","doi":"10.1016/j.atmosenv.2024.120846","DOIUrl":"10.1016/j.atmosenv.2024.120846","url":null,"abstract":"<div><div>Occupants and indoor activities are sources of volatile organic compounds (VOCs). We propose a framework to simulate the pollutant pathway using the INCA-Indoor© model and VOC emission rates to derive dynamic concentrations, and the USEtox model to evaluate health impacts in DALYs (Disability-Adjusted Life Years). The applicability of the framework is tested on a case study, and the effect of indoor chemical reactions on health impacts is assessed. In this case study, health impacts were of 0.3 μDALY/day without and 0.4 μDALY/day (13 s/day) with indoor air chemistry (+28 %) out of which 12 % were linked to occupant breath and skin emissions. Cleaning activities led to the highest impacts without chemical reactions (terpinolene, responsible for 0.14 μDALY/day), but indoor air chemistry led to high impacts linked to formaldehyde formation (0.18 μDALY/day). These reactions led to the formation of more formaldehyde, hence leading to 20% more impacts, in summer than in winter. Occupants’ contribution to CO₂ concentrations exceeded recommended limits under the given occupancy and ventilation scenario. Secondary organic aerosol (SOA) formation affected indoor particulate matter mass concentrations by up to a factor 1.2 and their number concentrations by up to a factor 25,000 in the presence of VOC emissions. Results of this study indicate that chemical reactions and SOA formation are important factors to consider in indoor air quality impact assessment. A larger number of activities and scenarios can be tested to improve the robustness of the conclusions, since, under different scenarios (for e.g. activities with lower emission rates) and with more complete toxicity data, these conclusions are likely to change.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"338 ","pages":"Article 120846"},"PeriodicalIF":4.2,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}