Air Quality Atmosphere and Health最新文献

{"title":"Exposure to tobacco-related 16 EPA priority PAHs: a comprehensive systematic review","authors":"Ali Momen,&nbsp;Ali Taherkhani,&nbsp;Kosar Shahabi,&nbsp;Roohollah Rostami","doi":"10.1007/s11869-025-01778-5","DOIUrl":"10.1007/s11869-025-01778-5","url":null,"abstract":"<div><p>Research aims to assess indoor air quality effects on human health and the environment due to high levels of polycyclic aromatic compounds. Settings include residential and office buildings, medical-social centers, and educational institutions. Thorough searches of databases such as ScienceDirect, PubMed, Springer, and Taylor &amp; Francis Online were conducted, covering data from inception to November 22nd, 2023, with a focus on English-language sources. The search terms included \"PAHs,\" \"Waterpipe,\" \"Hookah,\" \"Shisha,\" \"Tobacco,\" “Electronic cigarette,\" “E-cigarette,” and \"Cigarette.\" From a pool of 1251 studies, 13 reported PAH concentrations in nanograms per cubic meter, and 3 reported concentrations in nanograms per gram. The findings reveal that indoor PAH concentrations in residential buildings was higher compared to the outdoor environments (16,000.000 ± 421,000.000 vs. 5,660.000 ± 35,700.000 ng/m³). Moreover, the concentration of total PAHs in nanograms per cubic meter in residential buildings exceeded that in office buildings (116,000.000 ± 421,000.000 vs. 258.000 ± 252.000 ng/m³). Additionally, the concentration of total PAHs in nanograms per gram in residential buildings was observed to be lower than in educational buildings (111.000 ± 673.000 vs. 274.000 ± 157.000 ng/g). The calculated carcinogenic risk (CR) of both Total Equivalent Quotient (TEQ) and Mutagenic Equivalent Quotient (MEQ) indices for all studies with concentrations exceeding permissible limits, indicated a significant health risk. Meta-analysis results underscore a high level of heterogeneity in observations (I²: 100%).</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2551 - 2578"},"PeriodicalIF":2.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998461","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}

{"title":"Revealing the influence of socio-economic and meteorological factors on PM2.5 related cardiovascular and cerebrovascular disease mortality: insights from Xi'an, China","authors":"Wencai Zhang,&nbsp;Bin Guo,&nbsp;Lin Pei,&nbsp;Yan Wang,&nbsp;Tengyue Guo","doi":"10.1007/s11869-025-01784-7","DOIUrl":"10.1007/s11869-025-01784-7","url":null,"abstract":"<div><p>Air pollution poses a serious threat to public health with the continuous process of urbanization and industrialization. The relationship between particulate matter smaller than 2.5μm (PM_2.5) and cardiovascular and cerebrovascular diseases (CCVD) has attracted considerable global attention. However, the spatial clustering characteristics and environmental influencing factors for cardiovascular and cerebrovascular disease mortality (CCVDM) were seldom explored at the urban scale. In particular, the modification effects of PM_2.5 on CCVDM under different socio-economic levels and microclimatic conditions have not yet received adequate attention. This study focused on Xi'an City, China, and utilized exploratory spatial data analysis methods to reveal the spatial clustering characteristics of CCVDM. The random forest (RF) model was developed to assess the relative importance of various influencing factors on CCVDM. Furthermore, the geographically and temporally weighted regression (GTWR) model was employed to determine the spatial heterogeneity of influencing factors and assess the modification effects of PM_2.5 on CCVDM. The results showed that from 2014 to 2016, a total of 38,150 male and 32,717 female CCVD deaths were recorded. Spatially, significant clustering was observed, with hotspots mainly concentrated in the central and western areas. Secondly, the RF model effectively quantified the relationship between CCVDM and its influencing factors (<i>R</i>² = 0.90). The importance ranking showed that socio-economic factors had a greater impact on CCVDM than natural factors. Additionally, the GTWR model achieved higher accuracy for females (Adjusted <i>R</i>² = 0.41) than for males (Adjusted <i>R</i>² = 0.35) in revealing the effects of influencing factors on CCVDM. The model results confirmed significant spatiotemporal heterogeneity in the effects of these factors on CCVDM. Finally, PM_2.5 exhibited significant modification effects on CCVDM. The adverse impact of PM_2.5 on CCVDM was stronger in areas with lower economic levels or when the temperature was below 26 °C, and the effect was greater in males than in females. This study provides valuable insights and evidence for the prevention and control of CCVD and related epidemics.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2461 - 2479"},"PeriodicalIF":2.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998542","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}

{"title":"Short-term exposure to PM2.5 and outpatient department visits for mental and behavioural disorders in Thailand: a case-crossover study","authors":"Suwat Worratanakit,&nbsp;Arthit Phosri,&nbsp;Tanasri Sihabut,&nbsp;Tawach Prechthai","doi":"10.1007/s11869-025-01785-6","DOIUrl":"10.1007/s11869-025-01785-6","url":null,"abstract":"<div><p>Fine particulate matter (PM_2.5) has been linked to a range of adverse health outcomes, including emerging evidence of its impact on mental and behavioural disorders (MBDs). However, evidence from Thailand remains limited. This study aimed to investigate the association between short-term exposure to PM_2.5 and outpatient department (OPD) visits for MBDs across Thailand from January 2017 to December 2022. A two-stage statistical approach was employed. In the first stage, we applied a time-stratified case-crossover design with conditional quasi-Poisson regression to estimate province-specific associations between PM_2.5 and OPD visits for MBDs. In the second stage, a random-effect meta-analysis was used to pool the estimates at regional and national levels. The results revealed that the relative risk (RR) of OPD visits for MBDs nationally per a 10 µg/m³ increase in PM_2.5 was 1.006 (95% confidence interval (CI): 1.002, 1.010) at lag 0–1 day. Regionally, the Central region showed the strongest association at lag 0–2 day, with an RR of 1.013 (95% CI: 1.005, 1.021) per each 10 µg/m³ increase in PM_2.5. Subgroup analyses indicated significantly elevated risks among males, children aged 0–15 years, and adults aged 16–59 years. These findings provide evidence linking short-term PM_2.5 exposure to increased mental health service use in Thailand and underscore the importance of incorporating mental health outcomes into environmental health risk assessments. The results support the development of targeted policies to mitigate PM_2.5 exposure and protect vulnerable populations from its mental health impacts.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 9","pages":"2579 - 2590"},"PeriodicalIF":2.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145230300","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}

{"title":"Air Quality Index and Ozone Environmental Contingencies in the Megalopolis of the Metropolitan Zone of the Valley of Mexico","authors":"Mauro Cortez-Huerta,&nbsp;Yrany Rubio Gomez,&nbsp;Elizabeth Vega,&nbsp;Miriam Vega-Hernández,&nbsp;Ángel Silveti-Loeza,&nbsp;Gladys Linares-Fleites,&nbsp;Miguel Ángel Valera-Pérez","doi":"10.1007/s11869-025-01775-8","DOIUrl":"10.1007/s11869-025-01775-8","url":null,"abstract":"<div><p>The Megalopolis of the Mexico Valley Metropolitan Area (MZMVM) is one of the most polluted regions in the country. With its high population density and industrial activity, the MZMVM has recurrent ozone pollution episodes due to meteorological conditions and emissions of precursors such as nitrogen oxides and volatile organic compounds. The study of ozone is crucial due to its severe effects on human health, vegetation degradation, and air quality. The methodology used included the analysis of the air quality index and the occurrence of environmental contingencies from 2001 to 2022. Data from 80 monitoring stations distributed in the seven states constituting the MZMVM were used. The data were validated and processed according to Mexican and international standards. The results show an improvement in air quality in Mexico City and the State of Mexico, while a deterioration was observed in Hidalgo and Morelos during the study period. Although environmental emergencies due to ozone are now less frequent, they still represent a significant risk to public health and should be analyzed. This analysis highlights the importance of implementing stricter and more sustainable policies to reduce emissions of ozone precursors and protect both human health and the environment.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2447 - 2460"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01775-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998390","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}

{"title":"Studies on lung-deposited surface area (LDSA) of particulate matter during 2005–2024","authors":"Jingjiang Yuan,&nbsp;Wenjing Zhang,&nbsp;Jianlin Hu,&nbsp;Maheswar Rupakheti,&nbsp;Dipesh Rupakheti","doi":"10.1007/s11869-025-01786-5","DOIUrl":"10.1007/s11869-025-01786-5","url":null,"abstract":"<div><p>Lung-deposited surface area (LDSA) has emerged as a crucial parameter for evaluating exposure to particulate matter (PM). It estimates the surface area concentration of particles deposited in the alveolar region of human lungs and has gained significant attention in atmospheric science and public health research. This study uses a bibliometric method to analyze trends and identify key thematic areas in LDSA research. We analyze 208 articles published between 2005 and 2024 from the Web of Science Core Collection database. Results show that the United States leads in publication volume, with significant contributions from various institutions and researchers. Through keyword network analysis, we identify six primary research directions: (1) health effects of nanoparticles and environmental exposure, (2) pulmonary deposition of ultrafine particles and their long-term impacts, (3) particulate matter monitoring and evaluation, (4) indoor air quality, (5) the interaction between air pollution and climate change, and (6) occupational exposure assessment. This systematic review provides a comprehensive framework for researchers by synthesizing publication trends, identifying key researchers and research directions, and revealing knowledge gaps. As a result, it facilitates more strategic and impactful research planning in the critical domains of atmospheric science and public health.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2431 - 2446"},"PeriodicalIF":2.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998553","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}

{"title":"Decoding atmospheric thermal exposure patterns with implications for environmental health and urban air quality over forty years in arid regions","authors":"Hamad Ahmed Altuwaijri,&nbsp;Abdulla Al Kafy","doi":"10.1007/s11869-025-01780-x","DOIUrl":"10.1007/s11869-025-01780-x","url":null,"abstract":"<div><p>Arid regions worldwide, and particularly in Saudi Arabia, have been experiencing intensifying atmospheric thermal stress in recent decades, with profound implications for public health and urban sustainability. This study systematically analyzed the variability and trends of thermal discomfort index (TDI) across six major Saudi Arabian cities from 1984 to 2024, employing POWER data and robust statistical techniques, including descriptive analysis, Mann-Kendall Test (MKT), Sen’s Slope (SS), Theil-Sen Slope (TSS), Pearson’s Correlation and Lagged Correlation analysis. Monthly TDI values showed notable seasonal variations, ranging from winter minimum of 10.9 °C to summer maximum of 29.4 °C, with inland cities such as Riyadh (13.9–25.4 °C), and coastal cities like Dammam (16.2–29.4 °C), experienced distinct patterns of thermal stress. Trend analysis confirmed significant TDI increases during summer and transitional months across all cities, with the strongest warming trends in Dammam (June: SS = 0.044 °C/year) and Madinah (August: SS = 0.039 °C/year). Correlation analysis highlighted temperature as the primary driver of discomfort, while humidity emerged as a critical amplifying factor, particularly in coastal cities. These findings reveal an escalating patterns of atmospheric thermal stress across arid urban landscapes, exacerbated by synergistic effects of warming and humidity. Importantly, this study highlights the necessity for targeted urban heat mitigation strategies and the formulation of evidence-based environmental health policies to enhance resilience in arid environments. By quantifying both immediate and delayed climatic influences on diurnal thermal discomfort, this study establishes a foundation for more adaptive and climate-resilient urban planning in regions at the forefront of global warming.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2405 - 2430"},"PeriodicalIF":2.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998541","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}

{"title":"Pollutants exceedances modeling using non-homogeneous poisson processes: a case study for Medellín and Bogotá, 2018-2020","authors":"Biviana Marcela Suárez-Sierra,&nbsp;Karen Melissa Gómez-Montoya,&nbsp;Carlos A. Taimal","doi":"10.1007/s11869-025-01762-z","DOIUrl":"10.1007/s11869-025-01762-z","url":null,"abstract":"<div><p>This work presents an alternative methodology for modeling the exceedances of national and international air quality standards for three pollutants (<span>(PM_{2.5})</span>, <span>(PM_{10})</span> and ozone) in the cities of Bogotá and Medellín during the period 2018-2020. The proposed approach is based on Non-Homogeneous Poisson Processes (NHPP) with Bayesian parameter estimation, which allows for a more realistic representation of the temporal dynamics of pollution events. The model also incorporates change-points to identify significant alterations in pollution patterns, attributable to public policy, climatic phenomena, or restrictions related to the COVID-19 pandemic. This is the first time this methodology has been applied to data from the city of Medellín, and the results are compared with those obtained for Bogotá. The findings reveal substantial differences between the two cities in terms of compliance with air quality standards, particularly when comparing national thresholds with those established by the World Health Organization (WHO). The proposed methodology not only improves the accuracy of estimates but also enhances the interpretability of the factors driving air pollution dynamics. In addition to its academic and technical contributions, this study aims to provide accessible scientific evidence for the residents of both cities, raising awareness of the health risks associated with chronic exposure to air pollutants and encouraging informed actions to protect public health.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2385 - 2404"},"PeriodicalIF":2.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01762-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998550","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}

{"title":"The effect of non-optimal ambient temperature on daily mortality in Colombia 2010–2019","authors":"Nicolas Borchers-Arriagada,&nbsp;Antonio Gasparrini,&nbsp;Laura A. Rodriguez-Villamizar","doi":"10.1007/s11869-025-01782-9","DOIUrl":"10.1007/s11869-025-01782-9","url":null,"abstract":"<div><p>Adverse effects of non-optimal temperatures on mortality have been reported in different climates. However, only a low number of studies have been conducted in tropical locations where these effects might differ. Here, we estimate the association between ambient air temperature and all-cause mortality and assess the impact of non-optimal temperatures on attributable mortality at national and subnational levels in Colombia during 2010–2019. We obtained daily temperature and mortality data for 32 departments and conducted a two-stage analysis. In stage-1 we fitted a time-series Poisson model for each department and estimated the mortality-temperature association using distributed-lag-nonlinear models with 7–28 days of lag. In stage-2, we pooled these estimates using a multivariate meta-analytic model including mean temperature, relative humidity, and a multidimensional poverty index. We calculated attributable deaths and fractions due to non-optimal temperatures and due to overall heat and cold. We analyzed 2,561,561 deaths and found marked differences in exposure–response curves of mortality-temperature, where most departments showed acute heat effects but no cold effects for the 7-days lag. This lag-response curve for heat showed that the risk of death is higher during the same day (lag 0) of extreme temperatures and decreases after the third day. The country attributable fraction due to non-optimal temperature was higher for heat (1.77, 95% CI 1.16 – 2.31) during the 0–7 days lag, but higher for cold temperatures (4.68, 95% CI 2.34 – 6.72) during the 0–28 days lag. There was high heterogeneity in the estimated risks between departments. These results should inform planning adaptation strategies for climate change differentiated at subnational level.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2373 - 2384"},"PeriodicalIF":2.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01782-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998540","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}

{"title":"Assessing CO and NO2 concentrations in urban regions of Argentina: a satellite data analysis","authors":"Juana Salas,&nbsp;Luis Olcese","doi":"10.1007/s11869-025-01777-6","DOIUrl":"10.1007/s11869-025-01777-6","url":null,"abstract":"<div><p>Understanding and characterizing atmospheric pollutant concentrations provides crucial insights into the air quality exposure faced by the population. However, in Argentina, studies on atmospheric pollutants are constrained by the sparse distribution of monitoring stations and the specificity of existing research, which often focuses on particular regions and time periods. In this context, satellite data have emerged as invaluable tools, allowing for the monitoring of vast areas of the country where traditional measurements are sparse or inaccessible. In this study, we present an analysis of the annual and interannual concentration profiles of NO₂ and CO in regions with significant anthropogenic or industrial activity across Argentina, including the Buenos Aires Metropolitan Area, Bahía Blanca, Rosario, Córdoba, Mendoza, and Vaca Muerta. Utilizing data from TROPOMI, OMI, and MOPITT sensors spanning from 2010 to 2023, we conduct a comparative analysis to determine temporal trends and spatial variations in pollutant concentrations. Our findings reveal a high level of agreement between the sensors regarding the maximum and minimum values of the measurements. However, greater data dispersion is observed for NO₂ between the two satellites, mainly due to differences in orbit times and its higher reactivity. Both pollutants exhibit annual cycling patterns, with concentrations varying in response to temperature fluctuations. Furthermore, our analysis highlights the strong influence of anthropogenic activities on NO₂ concentrations, such as vehicle emissions and industrial processes, while CO levels are more homogeneous among sites, and are primarily influenced by the presence of fires in the region.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2357 - 2371"},"PeriodicalIF":2.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998551","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}

{"title":"Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis","authors":"Farzaneh Dadrass Javan,&nbsp;Farhad Samadzadegan,&nbsp;Ahmad Toosi","doi":"10.1007/s11869-025-01771-y","DOIUrl":"10.1007/s11869-025-01771-y","url":null,"abstract":"<div><p>Air pollution is one of the most critical environmental concerns affecting human health and ecosystem sustainability. This comprehensive review analyzes the evolution and current state of Remote Sensing (RS) methods for air pollution monitoring, examining over 241 relevant papers from the Scopus database using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The study systematically evaluates three main approaches: spaceborne, Manned Aerial Vehicle (MAV)-borne, and Unmanned Aerial Vehicle (UAV)-borne RS. Our analysis reveals significant technological advancements in sensors, platforms, and data processing methods. Spaceborne monitoring demonstrates enhanced spatial resolution (from 10 km to sub-kilometer) and temporal frequency (from monthly to near-real-time). MAV-based systems show superior regional mapping capabilities but face operational constraints. UAVs emerge as promising solutions for local-scale monitoring, particularly in hazardous environments, offering operational flexibility, cost-effectiveness, and the ability to capture high-resolution spatial data. The Internet of Things (IoT) has enhanced data collection networks, while integration of Artificial Intelligence (AI), specifically deep learning, has revolutionized data processing capabilities. Cloud computing platforms, particularly Google Earth Engine (GEE), have further transformed the scale and efficiency of big data analysis for air quality. The meta-analysis of COVID-19 lockdown impacts shows significant pollution reductions, with an overall average decrease of 28% across major pollutants (NO2, PM2.5, PM10, SO2, CO), though individual pollutants showed varying responses, with O3 notably demonstrating increases due to atmospheric chemistry dynamics. The review identifies current limitations and future directions, emphasizing the need for improved multi-platform and multi-sensor RS data integration, sensor miniaturization, and regulatory frameworks. This comprehensive analysis provides valuable insights for researchers, policymakers, and practitioners in environmental monitoring and public health.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 8","pages":"2481 - 2549"},"PeriodicalIF":2.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01771-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998460","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}