Atmospheric Pollution Research最新文献

{"title":"Identification of aerosol and meteorological parameters threshold for visibility conditions over Delhi city","authors":"Prachi Goyal,&nbsp;Chinmay Jena,&nbsp;Anikender Kumar,&nbsp;V.K. Soni,&nbsp;Mrutyunjay Mohapatra","doi":"10.1016/j.apr.2024.102373","DOIUrl":"10.1016/j.apr.2024.102373","url":null,"abstract":"<div><div>The quantitative assessment of air pollution induced visibility impairment is a prevalent concern across Indian sub-continent. In present study, efforts have been made to identify thresholds of aerosol (PM_2.5), meteorological variables (relative humidity, temperature at 2 m, wind speed at 10 m) and boundary layer for shallow (Category (CAT) I: 550–1000 m), moderate (CAT II: 300–550 m), dense (CAT IIIA: 175–300 m &amp; CAT IIIB: 50–175 m) and very dense (CAT IIIC: &lt;50 m) fog categories. A 5-year dataset from 2018 to 2023 for wintertime (December–February) is used to determine thresholds using statistical methods. A unique two-way rolling window correlation analysis is performed for linear, inverse and logarithmic functions considering described visibility classes, PM_2.5, RH and temperature. Different sliding windows and subsequent step sizes are taken to ascertain interrelatedness based on significant correlation coefficients. Further, a frequency distribution based averaging method is used for wind speed and boundary layer thresholds. Based on the findings, identified thresholds for PM_2.5, RH, temperature, wind speed and boundary layer are &gt;270 μg/m³, &gt;70%, &lt;13 °C, &lt;1.5 m/s, &lt;100 m for CAT I; &gt;250 μg/m³, &gt;70%, &lt;13 °C, &lt;1.2 m/s, &lt;80 m for CAT II; &gt;250 μg/m³, &gt;70%, &lt;11 °C, calm winds, &lt;80 m for CAT IIIA; &gt;220 μg/m³, &gt;80%, &lt;11 °C, calm winds, &lt;70 m for CAT IIIB while 180 μg/m³, &gt;90%, &lt;9 °C, calm winds and &lt;60 m for CAT IIIC. The determined thresholds have been validated using 2023–2024 data based on which shallow, moderate, dense and very dense categories are found to be 65%, 77%, 88%, 90% and 93% compliant with the thresholds of CAT I, CAT II, CAT IIIA, CAT IIIB and CAT IIIC. Trajectory clustering is also included for ascertaining the potential pollution source regions. The study can aid policymakers in predicting fog events. Moreover, appropriate policy interventions can be formulated in wake of the early warning system and information dissemination.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102373"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Assessment of pollution sources and health risks of black carbon aerosols in industrial cities of Northwestern China using light absorption observations","authors":"Kai Cheng ,&nbsp;Yuting Zhong ,&nbsp;Xia Li ,&nbsp;Shuting Li ,&nbsp;Maulen Ayitken ,&nbsp;Wang Zhang ,&nbsp;Xinchun Liu","doi":"10.1016/j.apr.2024.102381","DOIUrl":"10.1016/j.apr.2024.102381","url":null,"abstract":"<div><div>Black carbon (BC) aerosols have notably negative impacts on climate, environment, and public health. However, current knowledge of the sources and health hazards of BC remains limited. Equivalent black carbon (eBC) measurements were conducted using an AE33 aethalometer in Urumqi, China, from July 2022 to April 2023. The temporal variability, potential pollution areas and health hazards of fossil fuel (eBC_ff) and biomass burning (eBC_bb) sources were analysed. The average concentrations of eBC_ff and eBC_bb were 1.3 μg m⁻³ and 0.5 μg m⁻³, respectively, highlighting the dominant role of fossil fuel combustion. In winter, due to increased coal heating and industrial emissions under adverse weather conditions, the contribution rate of eBC_ff surged to 80.3% (2.44 μg m⁻³). The highest concentrations of eBC_bb were observed in spring (0.71 μg m⁻³), influenced by pre-sowing burning of agricultural residues. The concentrations of eBC_ff were higher during the day than at night, with a morning peak due to vehicular emissions. High concentrations of eBC_ff and eBC_bb mainly originate from pollution sources around the observation site, along with residential and agricultural areas to the southeastern. Regional transport between cities on the northern slopes of the Tianshan Mountains and long-range drift from Central Asian countries also had important effects on eBC_ff and eBC_bb. Health risk assessments revealed that carcinogenic risks (CR) from eBC exceeded acceptable levels by two orders of magnitude, with passive smoking equivalents (PSC) four times higher in winter than in summer. Our findings highlight the significant environmental and public health benefits of reducing fossil fuel consumption.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102381"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Ammonia emissions from fertilizer application as a dominant controller of nitrogenous aerosols in the urban atmosphere of Kunming, Southwest China","authors":"Yunhong Zhou ,&nbsp;Linglu Qu ,&nbsp;Zhongyi Zhang ,&nbsp;Hui Guan ,&nbsp;Hongwei Xiao ,&nbsp;Huayun Xiao","doi":"10.1016/j.apr.2024.102392","DOIUrl":"10.1016/j.apr.2024.102392","url":null,"abstract":"<div><div>The complex nature of the sources and formation processes of nitrogenous aerosols are a significant problem in cities. Despite being recognized as a less polluted city, Kunming has encountered unexpected air pollution events in the past few years. In this study, PM_2.5 samples collected from Kunming were analyzed to ascertain the source apportionment of nitrogenous aerosols. It was observed the δ¹⁵N values of the total nitrogen (TN) in PM_2.5 over the sampling period varied from 2.4‰ to 18.4‰ (12.0 ± 2.6‰). An isotope-based source apportionment method was employed to quantify the proportional contribution from six potential sources: NH₃ from fertilizer application (63.1%), livestock excreta (9.5%), the mixing source (5.5%); NO_X from vehicle emissions (8.5%), biomass burning (7.1%), and coal combustion (6.4%). Notably, the content of the nitrogen species demonstrated a consistent increase from late October. The total nitrogen levels and nitrogen oxidation ratios (NOR) were found to be sensitive to the changes in temperature and aerosol liquid water content (ALWC). It can be inferred that the higher ALWC levels enhanced the hydrolysis of N₂O₅, thereby promoting the conversion of NO₂, boosting the growth of nitrogenous aerosols, and leading to elevated NOR values. The PSCF analysis indicated that nitrogenous aerosols in urban Kunming were mainly affected by local and regional “hot spots” of NH₃ emissions from fertilizer application. This research not only presents a robust method for quantifying the primary sources of TN in PM_2.5, but also offers insights into air quality assessment and the management of atmospheric nitrogen pollution in Kunming.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102392"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Advancing urban air quality modeling with solar radiation-included computational fluid dynamics simulations","authors":"Nicolas Reiminger ,&nbsp;Xavier Jurado ,&nbsp;Loïc Maurer ,&nbsp;José Vazquez ,&nbsp;Cédric Wemmert","doi":"10.1016/j.apr.2024.102383","DOIUrl":"10.1016/j.apr.2024.102383","url":null,"abstract":"<div><div>Air quality modeling is a challenging task due to the complex interactions among meteorological, chemical, and physical processes. Accurate predictions require sophisticated models that can simulate these interactions under varying environmental conditions. This study advances micro-scale urban air quality modeling knowledge by considering solar radiation-included Computational Fluid Dynamics (CFD) simulations. Using data on air pollution concentration monitored in Antwerp, Belgium, this research evaluates the benefits of incorporating non-isothermal conditions and solar radiation into CFD air pollution dispersion models compared to the traditional neutral boundary layer assumption. The study analyzes twelve hourly meteorological case studies under non-isothermal conditions with solar radiation included to assess the accuracy and performance of both approaches. Findings reveal that the non-neutral CFD model outperforms the neutral model in 75% of the scenarios, with differences in the concentration maps ranging from 8% to 32%. These disparities significantly affect the identification of concentration hotspots and pollutant level predictions. Accuracy assessments against in-field monitored data show notable reductions in relative errors for the non-neutral model, averaging 21%, compared to 40% for the neutral model. While both models perform similarly under low wind speed and low solar radiation conditions, the non-neutral model generally demonstrates superior performance under higher solar radiation and more variable wind speeds. Overall, the non-neutral model offers an improvement factor of around 2 compared to the neutral model. The integration of solar radiation in CFD simulations represents a significant advancement in urban air quality modeling, with promising implications for enhancing air quality management and urban planning decisions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102383"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"The use of lichens and mosses as sentinel organisms for the determination of the airborne organic pollution in Western Pyrenees: The case of the Irati forest","authors":"J. Bustamante ,&nbsp;A. Gredilla ,&nbsp;O. Liñero ,&nbsp;D. Amouroux ,&nbsp;D. Elustondo ,&nbsp;J.M. Santamaría ,&nbsp;A. Rodriguez-Iruretagoiena ,&nbsp;S. Fdez-Ortiz de Vallejuelo ,&nbsp;G. Arana ,&nbsp;A. de Diego","doi":"10.1016/j.apr.2024.102376","DOIUrl":"10.1016/j.apr.2024.102376","url":null,"abstract":"<div><div>High mountain ranges are very sensitive environments. Due to their altitude, they are prone to receive pollution from long-range transport through the atmosphere. The Pyrenees is a good example of these mountain ranges that extend from the Matxitxako Cape (Basque Country) to the Creus Cape (Catalonia) with altitudes up to about 3400 m.</div><div>In this article, the ability of lichens and mosses to accumulate Persistent Organic Pollutants (POPs) and consequently, to serve as indicators of atmospheric organic pollution is investigated. For this purpose, 50 lichens and mosses were collected in the Irati Forest (Western Pyrenees), one of the largest and best-preserved beech and fir forests in Europe. One species of lichens (<em>Parmelia sulcata</em>) and one species of mosses (<em>Hypnum cupressiforme</em>) were collected from 10 different beech trees at each sampling point. A microwave assisted extraction of the samples with a mixture of 1:1 (v:v) acetone:hexane was done for the determination of 16 PAHs, 11 PCBs and 10 OCPs by GC-MS.</div><div>Generally, PAHs presented significantly higher concentrations (with a maximum concentration of 1190 ng/g in lichens and 585 ng/g in mosses) than PCBs (maximum concentration 220 ng/g in lichens and 587 in mosses) and OCPs (maximum concentration 550 ng/g in lichens and 692 in mosses) in both matrices. Regarding PAHs Ace, Flu, Flr, Nap and Phe presented in our study the highest concentrations in both mosses and lichens and with respect to PCBs and OCPs PCB-194 and HCH isomers stood out respectively.</div><div>The spatial distribution of POPs revealed that generally the distribution of POPs obtained with both matrices was similar, with a common hotspot located in the centre area of the Forest. Despite pollution from long-range transport through the atmosphere cannot be underestimated, the work presented here revealed that the urban and agricultural activities carried out in the proximities of the Irati Forest during decades have still effect in the air quality regarding PCBs and OCPs. As the analysis of mosses showed, in order to avoid high presence of PAHs in the atmosphere of the Irati Forest, activities related with combustion processes carried out around the forest have to be controlled.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102376"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Spatiotemporal features and optical properties of aerosols in the Ili Basin: A CALIPSO-based analysis (2008–2022)","authors":"Biao Wu ,&nbsp;Jiayu Chen ,&nbsp;Na Wu ,&nbsp;Ayinigaer Adili ,&nbsp;Yongxiao Ge ,&nbsp;Jilili Abuduwaili","doi":"10.1016/j.apr.2024.102395","DOIUrl":"10.1016/j.apr.2024.102395","url":null,"abstract":"<div><div>Aerosols such as dust exhibit strong light-absorption properties. The Ili Basin (IB) has become an important deposition area for aerosols owing to its distinctive geographic location and the influence of westerly winds. In this study, we investigated the spatiotemporal features and optical properties of aerosols in the IB using Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data from 2008 to 2022. The results indicated that there were six aerosol subtypes in the IB, of which dust and polluted dust (PD) were the dominant aerosol subtypes, accounting for over 83% of the aerosols in this region. The frequency of dust was highest in spring, and that of PD was highest in summer. Spatially, dust occurred primarily in the southwest, central, and eastern regions, whereas PD occurred primarily in the central and northwest regions. Aerosols were mainly distributed below 10 km, peaking at 3–4 km. The height of the dust layer was greater than 4 km in most parts of the IB, with the highest values in the southwest and east. The distribution of the PD layer was lower than that of the dust layer. The extinction coefficients, particulate depolarization ratios, and backscatter coefficients were higher in the eastern part of the IB. This study suggests that future research should focus on the mountainous areas in the southern and eastern parts of the IB to clarify the deposition of absorptive aerosols and their effect on snow ablation.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102395"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Research on regional carbon emission scenario simulation based on GA-BP-KDE under uncertain conditions","authors":"Ke Pan ,&nbsp;Bin Liu ,&nbsp;Zuli He ,&nbsp;Jian Liu ,&nbsp;Xinyu Xia ,&nbsp;Xueqi Zhang ,&nbsp;Yang Wei ,&nbsp;Siying Wang ,&nbsp;Huangyuying Zheng","doi":"10.1016/j.apr.2024.102375","DOIUrl":"10.1016/j.apr.2024.102375","url":null,"abstract":"<div><div>The continuous advancement of the “dual carbon” goal presents a persistent challenge for regions striving to balance rapid economic growth with sustainable development. Consequently, investigating scientifically efficient regional carbon emission reduction pathways has become increasingly significant. This study utilizes carbon emission data and related impact factors from 21 cities in Sichuan province spanning 2011 to 2022 to construct a GA-BP-KDE carbon emission interval prediction model. This model, based on the GA-BP point prediction model, accounts for the inherent uncertainty in carbon emission forecasting. Eight scenarios were employed to predict carbon emission intervals and potential “carbon peak” timeframes for Sichuan province from 2021 to 2040. These scenarios were categorized into three groups: “peak,” “possible peak,” and “unable to peak.” Subsequently, a tailored cascade peak pathway was developed for the 21 cities in Sichuan province. The findings reveal: (1) Pearson coefficient correlation measure results indicate that the overall performance of the genetic algorithm-Back propagation network (GA-BP) model (0.985) surpassed that of the Extreme Learning Machine (ELM) (0.900), Random Forest (RF) (0.981), and support vector machine (SVR) (0.982). The validity of the GA-BP-KDE interval prediction model was evaluated using PICP and PINAW metrics. (2) Under baseline, ideal, and low-carbon scenarios, Sichuan province is projected to definitively reach its carbon peak by 2030. In the weak emission reduction scenario, a 2030 peak remains possible. (3) The 21 cities in Sichuan province were classified into three echelons based on their average peak times, with Chengdu and Mianyang positioned in the first echelon. This research introduces a novel approach to studying “carbon peak” pathways, potentially providing decision-makers with more reliable and comprehensive information for formulating rational and effective carbon emission reduction measures.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102375"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 correlation and urban collaborative governance of air pollution in Anhui province based on complex networks","authors":"Ni Zheng ,&nbsp;Ya-Qi Xu","doi":"10.1016/j.apr.2024.102369","DOIUrl":"10.1016/j.apr.2024.102369","url":null,"abstract":"<div><div>To promote the greening of the economy and sustainable development, and to achieve a win–win situation for the economy and the environment. By constructing and analysing the complex network, this study provides a new perspective for understanding the spatial and temporal dynamics of air pollution, and provides a scientific basis for formulating effective air quality improvement measures. This study investigated the seasonal evolution and spatial correlation of air pollutants and AQI in 16 cities in Anhui Province. A weighted undirected complex network for AQI was constructed based on the average correlation coefficients of AQI between different cities, using the ratio of the average correlation coefficient to the distance of the cities as weights. By analysing the overall statistical characteristics, node importance of the network, and dividing the network into communities, the results show that the atmospheric environmental quality in Anhui Province has significantly improved from 2018 to 2023. Bengbu, Chuzhou, and Hefei occupy the core positions in the network correlation, exhibiting the strongest ability to spread air pollution. The relationship between GDP and AQI between different cities was analysed using the grey correlation method. By combining the results of community division, the correlation between GDP and AQI, and the consideration of policy factors, it is expected that this comprehensive analysis will provide more effective strategies for pollution management, such as optimizing and upgrading the industrial structure, perfecting the synergistic management system of air pollution prevention and control among cities, and strengthening regional cooperation for coordinated urban development.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102369"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Study on the performance of a composite dust suppressant in open-pit mines","authors":"Rongxia Yu ,&nbsp;Zhian Huang ,&nbsp;Mengyang Zeng ,&nbsp;Wei Li ,&nbsp;Qianming Liu ,&nbsp;Hao Ding ,&nbsp;Jiaze Ren ,&nbsp;Jinyang Li ,&nbsp;Jinlu Chang ,&nbsp;Yongrui Yang","doi":"10.1016/j.apr.2024.102379","DOIUrl":"10.1016/j.apr.2024.102379","url":null,"abstract":"<div><div>Currently available chemical dust suppressants (DSs) still have only one single function, are expensive, and generate secondary pollution and other problems. In this study, xanthan gum (XG), rhamnolipid (RL), glycerol (GL) and magnesium chloride (MgCl₂) were combined to develop a composite DS that is highly efficient and suitable for transportation roads in open-pit mines. This study used response surface testing to optimize the proportions of the reagents in the DS, conducted experiments such as simulated dust reduction to study its performance, and analyzed its economic and environmental benefits. The optimal ratios were found to be 0.15%, 0.15%, 3.2% and 2.8% for XG, RL, GL and MgCl₂, respectively. The dust samples’ viscosity, pH, and evaporation resistance could reach 81.98 mPa s, 6.48 and 5.20%, respectively. Compared to water, DS-treated dust samples were 5% more hygroscopic, 30% more resistant to wind erosion, and twice as resistant to compression. The dust reduction efficiency (DRE) for total and respiratory dust increased to 91.38% and 81.22%, respectively. Scanning electron microscope (SEM) experiments showed that the addition of the DS allowed small particles to gradually coalesce and adsorb onto the surface of larger particles, which had a good cohesive solidification effect and improved the dust suppression effect. The results of the benefit analysis showed that the DS could save CNY 6,390 per month and was environmentally friendly.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102379"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Developing a machine learning model using satellite data to predict the Air Quality Index (AQI) over Korba Coalfield, Chhattisgarh (India)","authors":"Abhimanyu Kumar Gond,&nbsp;Aarif Jamal,&nbsp;Tarun Verma","doi":"10.1016/j.apr.2024.102398","DOIUrl":"10.1016/j.apr.2024.102398","url":null,"abstract":"<div><div>This study investigates air quality dynamics in the Korba district, Asia's largest coal mining hub in India, employing advanced machine learning approaches to analyse seasonal Air Quality Index (AQI) variations and their influencing factors. Through comprehensive evaluation of six machine learning algorithms, Random Forest emerged as the superior model with the highest predictive accuracy (R² = 0.93), followed by XGBoost (0.92), LightGBM (0.91), CatBoost (0.89), Gradient Boosting (0.82), and K-Neighbors Regressor (0.79). The research revealed distinct seasonal patterns in air quality, with correlation analysis highlighting complex interactions between environmental parameters and pollutants. Strong positive correlations were observed between NO₂ and SO₂ (0.97) and CO and SO₂ (0.94), while significant negative correlations emerged between LST and NDVI (−0.73) and between NO₂ and O₃ (−0.77). Seasonal analysis demonstrated that winter periods experience elevated pollution levels due to atmospheric inversion conditions, while monsoon seasons show improved air quality due to precipitation-induced pollutant scavenging. Spatial distribution analysis identified critical variations in pollutant concentrations across the region, mainly influenced by elevation, vegetation density, industrial activity, and meteorological conditions. The study emphasises the significance of seasonal variations in pollution patterns and highlights the effectiveness of machine learning approaches in predicting air quality for environmental management. These findings provide valuable insights for developing targeted intervention strategies, including the strategic placement of green belts and seasonal adjustment of industrial operations, to mitigate air quality deterioration in this critically important industrial region.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 2","pages":"Article 102398"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}