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Characterization and source apportionment of PM2.5 and PM10 in a Mountain Valley: seasonal variations, morphology, and elemental composition
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-26 DOI: 10.1007/s10874-025-09469-2
Shyam Narayan Nautiyal, Veena Joshi, Alok Sagar Gautam, Ranjit Kumar, Sanjeev Kumar, Karan Singh, Sneha Gautam

This study investigates the mass concentrations, morphological characteristics, elemental composition and source apportionment of PM2.5 and PM10 aerosols across different seasons collected in a mountain valley of the central Himalayan region of Uttarakhand, India. The average PM10 concentration was found to be 88.74 ± 34.12 µg m⁻3, generally below the NAAQS 24-h standard, while the mean PM2.5 concentration was found to be 67.72 ± 37.00 µg m⁻3, exceeding the NAAQS standard. Elevated PM10 levels during pre-monsoon periods were linked to windblown dust from neighbouring regions and thermodynamic conditions within the planetary boundary layer, while high PM2.5 levels were attributed to temperature inversions and stable atmospheric conditions. The study identified three major particle groups—biogenic, geogenic, and anthropogenic—using SEM–EDX analysis highlighting the significant impact of both natural and anthropogenic sources. Biogenic aerosols were prevalent in the samples. Variations in the composition of the elements are noted, with C and Si being the most predominant. A strong correlation was found between carbon and oxygen (r = 0.926) using Pearson correlation matrix. NOAA HYSPLIT-4 model was used for air mass back trajectory analysis, which suggests that the receptor site station received air mass from both local sources and long-range transport.

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引用次数: 0
Evaluating urban ozone dynamics in two Indian megacities using ground data and predictive ozone modelling: role of AVOC – NOx regime and influence on secondary PM levels
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-25 DOI: 10.1007/s10874-025-09470-9
Yuva Kiran Kadali, Abhishek Chakraborty

Ozone (O3) in ambient air acts as a greenhouse gas and has harmful effects on human health and vegetation. Short-term exposure to elevated surface O3 is linked to increased risks of respiratory and cardiovascular mortality. The emission of volatile organic compounds (VOCs) and nitrogen oxides (NOx) into the atmosphere can trigger chemical reactions influenced by solar radiation (SR), resulting in O3 formation in the troposphere. This study focuses on a few locations within Delhi and Mumbai using publicly available data. O3 concentrations peak in the afternoon and decrease subsequently. During winter, NOx concentrations were higher, while O3 concentrations were lower, possibly due to reduced solar radiation and altered atmospheric VOC-NOx regimes. The HCHO/NO2 ratios in both Delhi and Mumbai are less than 1, indicating VOC-limited conditions. The secondary fraction (SA) of PM2.5 at select locations was estimated using the Approximate Envelope Method (AEM). SA values derived from AEM exhibited diurnal trends consistent with field studies and established knowledge. This analysis demonstrated that SA can constitute up to 85% of total PM2.5, highlighting its significant contribution to overall particulate matter levels. An evaluation of the AVOC-NOx-O3-SA relationship revealed that elevated O3 concentrations predominantly occur at higher AVOC/NOx ratios, often leading to increased SA levels to some extent. To predict O3, a multiple linear regression model was employed, incorporating various parameters. The model achieved a coefficient of correlation when compared to measured data of over 0.90, indicating its effectiveness in predicting O3 levels. This research provides valuable insights into the dynamics of surface O3 and its implications for urban secondary pollutants.

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引用次数: 0
Analysis of respirable silica and heavy metals with their morphology in ambient air of Dhaka City
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-25 DOI: 10.1007/s10874-025-09468-3
Mishuk Biswas, Md Ismail Hossain, AKM Khairul Bashar, Md Moniruzzaman, Abdus Salam, Md Safiqul Islam

Though Dhaka is among the most air polluted cities, the origin and impact of respirable crystalline silica (RCS) are mostly unclear. This study examines the concentrations and sources of RCS and heavy metal in the ambient air of Dhaka city due to its health hazards. Samples were obtained from the industrial area, construction zone, hospital, and workshop over a period of three consecutive days. Each sample was collected using a polytetrafluoroethylene filter for a duration of 24 h. The quantification of RCS and heavy metal concentration was performed utilizing UV-vis and ICP-MS techniques, while SEM-EDX was employed to examine the morphology of total suspended particulate matter (TSP). The construction zone had the highest concentration of RCS, measuring 2.55 µgm− 3 suggesting the likely source of the RCS. Additionally, this research revealed that among all locations, at least five individuals per 10,000 will be susceptible to cancer as a result of RCS. Construction zone exhibited a low level of heavy metal concentration, whereas industrial area contained the highest levels. The industrial area was found to contain the highest concentrations of Pb and Hg among the four heavy metals, while the workshop exhibited the highest concentrations of Cr and As. SEM analysis revealed a lot of soot particles that had chromium in them. Aluminum was found in the silica particle that reveal the source of it with more accuracy. This aerosol morphology investigation will assist stakeholders understand pollution source and type.

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引用次数: 0
Assessing phytomonitoring potential employing air pollution tolerance index and oxidative stress markers for selective flora in metrocity-Lucknow, India 利用空气污染耐受性指数和氧化应激标记评价印度勒克瑙城市选择性植物群的植物监测潜力
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-20 DOI: 10.1007/s10874-025-09467-4
Priya Saxena, Ankit Kumar, Komal Sharma, Alka Kumari

Growing ambient air pollution in Lucknow is a menace to the monuments, urban dwellers, and the ecosystem. In view of the above, air pollution tolerance potential of dominant plants against air pollutants was assessed supported by indices and statistics. The study was conducted at three sampling sites in Lucknow city: commercial, industrial, and rural in the years 2021-22. PM2.5 concentrations were 163.4 ± 25.3, 155.1 ± 14.6 and 113.2 ± 30.8 µg/m3 at commercial, industrial, and rural locations, respectively, breaching national ambient air quality standards (60 µg/m3) by 172.3, 158.5 and 88.7%. Eleven trace elements were associated with PM2.5 and PM10 out of which Sr, Al, Fe, and Zn were predominant owing to road dust entrainment and vehicular emission. Biochemical parameters were assessed for four native floral species Azadirachta indica, Mangifera indica, Ficus religiosa and Cascabela thevetia. For these species, pH ranged between 5.3-8.4, total chlorophyll 0.4–1.2 mg/g, carotenoids 0.15–0.34 mg/g, relative water content 32.1–89.9% and ascorbic acid 0.12–1.32 mg/g. Guaiacol peroxidase (19.5 ± 2.5 U/gm protein) was highest for C. thevetia, malondialdehyde (3.6 ± 1.4 nmol/gm FW) for A. indica, superoxide dismutase (339.4 ± 11.7 U/mg protein) for C. thevetia and catalase (688.7 ± 68 U/mg protein) for A. indica. Air pollution tolerance index (APTI) was higher for F. religiosa (17.53) followed by A. indica (13.34) showing their tolerance ability in response to particulate matter and heavy metals. Aforementioned plant species can be used to further investigate how plants and pollutants interact and for enhancing potential phyto-control methods for minimizing air pollution.

勒克瑙日益严重的空气污染对古迹、城市居民和生态系统构成了威胁。基于此,采用指数和统计相结合的方法对优势植物对大气污染物的耐受潜力进行了评价。该研究于2021- 2022年在勒克瑙市的三个采样点进行:商业、工业和农村。商业、工业和农村地区PM2.5浓度分别为163.4±25.3、155.1±14.6和113.2±30.8µg/m3,分别超出国家环境空气质量标准(60µg/m3)的172.3、158.5和88.7%。11种微量元素与PM2.5和PM10相关,其中Sr、Al、Fe和Zn主要受道路粉尘夹带和车辆排放的影响。对4种本地花卉印楝、芒果、榕树和木香进行了生化指标评价。其pH值为5.3 ~ 8.4,总叶绿素值为0.4 ~ 1.2 mg/g,类胡萝卜素值为0.15 ~ 0.34 mg/g,相对含水量为32.1 ~ 89.9%,抗坏血酸值为0.12 ~ 1.32 mg/g。愈创木酚过氧化物酶(19.5±2.5 U/gm蛋白)、丙二醛(3.6±1.4 nmol/gm FW)、超氧化物歧化酶(339.4±11.7 U/mg蛋白)和过氧化氢酶(688.7±68 U/mg蛋白)的含量最高。空气污染耐受指数(APTI)最高的是宗教草(17.53),其次是印度草(13.34),表现出对颗粒物和重金属的耐受能力。上述植物物种可以用来进一步研究植物和污染物如何相互作用,并加强潜在的植物控制方法,以尽量减少空气污染。
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引用次数: 0
Forecasting of monthly air quality index and understanding the air pollution in the urban city, India based on machine learning models and cross-validation 基于机器学习模型和交叉验证的月度空气质量指数预测和了解印度城市的空气污染
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-12-27 DOI: 10.1007/s10874-024-09466-x
Chaitanya Baliram Pande, Neyara Radwan, Salim Heddam, Kaywan Othman Ahmed, Fahad Alshehri, Subodh Chandra Pal, Malay Pramanik

In this paper, the study focuses on the forecasting of the Air Quality Index (AQI) using linear regression, random forest, and decision tree regression models in Delhi City. The AQI is a crucial metric for monitoring air quality and provides information on the level of air pollution and its potential health risks. The main research aims to develop forecasting of AQI in three scenarios based on the air pollutants data. Monthly average Nitrogen dioxide (NO2), Sulfur dioxide (SO2), Oxygen (O3), and Particle matter (PM2.5) data from 1987 to 2020 were included. The research was executed in two steps: preprocessing datasets, plotting the datasets, and analyzing them in the first step, and training and testing the model's accuracy in the second step. The datasets were divided into training and testing sets also we forecasted the AQI in three scenarios based on the different input variables. Feature importance was used for the selection of model input variables. Results of the study area compared the Machine Learning (ML) models in three scenarios best performance models such as Decision Tree Regression (DT) (R2 = 0.99, RMSE = 0.81), Random Forest (RF) (R2 = 0.98, RMSE = 16.64), and RF (R2 = 0.99, RMSE = 0.27), respectively. The results of DT and RF models showed high prediction performance compared to other models in the first, second, and third scenarios, respectively. The results of 10-fold cross-validation models are cross-validated to all models, which is the RF model is best other than the models in three scenarios. Hence, the cross-validation of all ML models so important for the selection of the best model for forecasting AQI in Delhi City. The results can be helpful to urban policy makers in the Delhi city.

本文研究了采用线性回归、随机森林和决策树模型对德里市空气质量指数(AQI)进行预测。空气质量指数是监测空气质量的一个重要指标,提供有关空气污染水平及其潜在健康风险的信息。主要研究目的是基于空气污染物数据建立三种情景下的AQI预测。包括1987 - 2020年的月平均二氧化氮(NO2)、二氧化硫(SO2)、氧(O3)和颗粒物(PM2.5)数据。研究分两步进行,第一步是对数据集进行预处理、绘制数据集并进行分析,第二步是对模型的精度进行训练和测试。将数据集分为训练集和测试集,并根据不同的输入变量对三种情况下的AQI进行预测。特征重要度用于模型输入变量的选择。研究区域的结果比较了机器学习(ML)模型在决策树回归(DT) (R2 = 0.99, RMSE = 0.81)、随机森林(RF) (R2 = 0.98, RMSE = 16.64)和随机森林(RF) (R2 = 0.99, RMSE = 0.27)三种场景下的最佳性能模型。DT和RF模型分别在第一、第二和第三种情景下的预测性能优于其他模型。10倍交叉验证模型的结果对所有模型进行了交叉验证,在三种情况下,RF模型优于其他模型。因此,所有ML模型的交叉验证对于选择预测德里市AQI的最佳模型非常重要。研究结果可以为德里市的城市决策者提供帮助。
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引用次数: 0
Carbonaceous aerosol in the Brahmaputra plains: Sources, and influence from the hotspot Indo-Gangetic plains, India 雅鲁藏布江平原的碳质气溶胶:来源和来自印度热点恒河平原的影响
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-30 DOI: 10.1007/s10874-024-09464-z
T. Paul, A. K. Sudheer, M. Gaddam, R. Pawar, A. S. Maurya, D. S. Jyethi

Organic carbon (OC) and elemental carbon (EC) play a significant role in aerosol mass and atmospheric processes. This study is focused on the eastern part of the Great Northern Plains of India, namely the Brahmaputra Plains, to understand the influence of regional and local contribution on the carbonaceous fraction of PM2.5. Mean annual PM2.5 concentrations exceeded the National Ambient Air Quality Standards (NAAQS), with values of 46.6 ± 30.0 μg/m3 in the rural area and 50.4 ± 34.4 μg/m3 in the semi-urban area. The range in monsoon-winter was found to be 22.7–71.9 μg/m3. OC and EC contribute 44–50% of the PM2.5 mass concentration. The OC/EC ratios ranged from 3.3 to 9.3 in the rural area and from 4.3 to 6.9 in the semi-urban area, indicating significant secondary organic aerosol (SOA) formation, especially during the high photochemical period of the pre-monsoon season. Lower δ13C values were observed during winter (-27.5‰ rural, -27.3‰ semi-urban), pre-monsoon (-28.1‰ rural, -27.6‰ semi-urban), and post-monsoon (-28.2‰ rural, -28.1‰ semi-urban) periods, suggesting influences from biomass burning, fossil fuel combustion, and aged aerosols. The study employs cluster analysis of air mass trajectory, and Moderate Resolution Imaging Spectroradiometer (MODIS) fire data to determine the influence of the hotspot Indo-Gangetic Plain (IGP) and long-range transport on aerosol carbonaceous content during most seasons except the monsoon period June–September in the Brahmaputra Plains.

有机碳(OC)和元素碳(EC)在气溶胶质量和大气过程中起着重要作用。本研究以印度北部大平原东部即雅鲁藏布江平原为研究对象,了解区域和地方贡献对PM2.5碳质组分的影响。PM2.5年均浓度超过国家环境空气质量标准(NAAQS),农村地区为46.6±30.0 μg/m3,半城区为50.4±34.4 μg/m3。季风-冬季的变化范围为22.7 ~ 71.9 μg/m3。OC和EC对PM2.5质量浓度的贡献为44-50%。农村地区的OC/EC比值在3.3 ~ 9.3之间,半城市地区的OC/EC比值在4.3 ~ 6.9之间,表明次生有机气溶胶(SOA)的形成显著,特别是在季风前的高光化学期。冬季(-27.5‰农村,-27.3‰半城市)、季风前(-28.1‰农村,-27.6‰半城市)和季风后(-28.2‰农村,-28.1‰半城市)的δ13C值较低,表明生物质燃烧、化石燃料燃烧和老化气溶胶的影响。本研究采用气团轨迹聚类分析和MODIS火场数据,确定了除6 - 9月季风期外,印度-恒河平原(IGP)热点和远程输送对雅鲁藏布江平原大部分季节气溶胶碳含量的影响。
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引用次数: 0
Association between time of day and carbonaceous PM2.5 and oxidative potential in summer and winter in the Suncheon industrial area, Republic of Korea 大韩民国顺天工业区夏季和冬季一天中的时间与含碳 PM2.5 和氧化潜能值之间的关系
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-18 DOI: 10.1007/s10874-024-09465-y
Seoyeong Choe, Geun-Hye Yu, Myoungki Song, Sea-Ho Oh, Hajeong Jeon, Dong-Hoon Ko, Min-Suk Bae

PM2.5 samples were collected in Suncheon during the summer (June 2–11, 2023) and winter (January 15–21, 2024). The chemical composition analysis included carbonaceous components (OC, EC), secondary ionic components (NH4+, NO3, SO42−), dithiothreitol - oxidative potential (QDTT-OP), and volatile organic compounds. Results showed higher summer PM2.5 concentrations due to photochemical reactions and higher winter concentrations from heating and stable atmospheric conditions. The OC/EC ratio indicated greater secondary organic aerosol formation in summer. Oxidative potential (QDTT-OPv) was higher in summer (0.12 µM/m³) than winter (0.09 µM/m³), correlating strongly with OC in summer. Health risk assessment of BTEX revealed higher concentrations in winter, with benzene as the primary contributor to lifetime cancer risk (LTCR). The cumulative hazard quotient (HQ) was higher in winter, indicating increased non-carcinogenic risk. The study highlighted that oxidative potential is more influenced by chemical composition than physical characteristics, suggesting that regulating PM2.5 concentration alone may be insufficient. VOCs, as precursors of SOA, showed a positive correlation with QDTT-OPv, with benzene exhibiting the strongest correlation in winter. These findings emphasize the need for targeted management of specific PM2.5 components to mitigate health risks effectively.

Graphical Abstract

在夏季(2023 年 6 月 2 日至 11 日)和冬季(2024 年 1 月 15 日至 21 日)在顺天采集了 PM2.5 样品。化学成分分析包括碳质成分(OC、EC)、二次离子成分(NH4+、NO3-、SO42-)、二硫苏糖醇-氧化电位(QDTT-OP)和挥发性有机化合物。结果显示,光化学反应导致夏季 PM2.5 浓度较高,而供暖和稳定的大气条件导致冬季 PM2.5 浓度较高。OC/EC 比率表明夏季形成的二次有机气溶胶更多。夏季的氧化电位(QDTT-OPv)(0.12 µM/m³)高于冬季(0.09 µM/m³),与夏季的有机碳密切相关。对 BTEX 的健康风险评估显示,冬季的浓度较高,苯是导致终生癌症风险 (LTCR) 的主要因素。冬季的累积危害商数(HQ)较高,表明非致癌风险增加。该研究强调,氧化潜能受化学成分而非物理特性的影响更大,这表明仅调节 PM2.5 浓度可能是不够的。作为 SOA 前体的挥发性有机化合物与 QDTT-OPv 呈正相关,其中苯在冬季的相关性最强。这些发现强调了有必要对特定的 PM2.5 成分进行有针对性的管理,以有效降低健康风险。
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引用次数: 0
PM2.5 and PM10-related carcinogenic and non-carcinogenic risk assessment in Iran 伊朗与 PM2.5 和 PM10 相关的致癌和非致癌风险评估
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-10-15 DOI: 10.1007/s10874-024-09463-0
Khatereh Anbari, Pierre Sicard, Yusef Omidi Khaniabadi, Hasan Raja Naqvi, Reza Fouladi Fard, Rajab Rashidi

High levels of particulate matters in the air are a major health issue in Middle East leading to adverse health effects. In this study, we have simultaneously investigated (i) the spatio-temporal distribution of ambient particulate matters in a city located in the Middle East (Khorramabad) over the time period 2021–2022; and (ii) PM2.5 and PM10-related carcinogenic and non-carcinogenic risk assessment to exposure. For the risk assessment, hourly PM2.5 and PM10 data were obtained from three monitoring stations located in the city. A methodology for risk assessment recommended by the United State Environmental Protection Agency was used for all age groups. The excess lifetime cancer risk (ELCR) and the hazard quotient (HQ) were estimated, and the backward trajectories were assessed by the Hybrid Single-Particle Lagrangian Integrated Trajectory model. The Aerosol Optical Depth from 0 to 1000 nm was applied to observe the variations of atmospheric aerosols. The results showed that the annual PM2.5 and PM10 mean concentrations during 2021 and 2022 were exceeded the World Health Organization limit value for human health protection. In 2021 and 2022, 2.2-148.3 and 1.3-134.4 cancers per 1,000,000 inhabitants can be related to ambient PM2.5 exposure. The HQ values for PM2.5 and PM10 were 4.7 and 1.3 in 2021, and 3.8 and 1.1 in 2022, i.e., the risk for human health is expected. To reduce the adverse health effects related to particulate matters, air emissions control strategies are required.

空气中的高浓度颗粒物是中东地区的一个主要健康问题,会对健康造成不良影响。在这项研究中,我们同时调查了:(i) 2021-2022 年期间中东某城市(霍拉马巴德)环境颗粒物的时空分布;(ii) PM2.5 和 PM10 相关的致癌和非致癌暴露风险评估。为进行风险评估,从该市的三个监测站获得了每小时 PM2.5 和 PM10 的数据。对所有年龄组的人都采用了美国环境保护局推荐的风险评估方法。估算了超额终生致癌风险(ELCR)和危害商数(HQ),并利用混合单粒子拉格朗日综合轨迹模型评估了后向轨迹。应用 0 至 1000 nm 的气溶胶光学深度观测大气气溶胶的变化。结果表明,2021 年和 2022 年 PM2.5 和 PM10 的年平均浓度超过了世界卫生组织规定的人类健康保护限值。2021 年和 2022 年,每 100 万居民中有 2.2-148.3 例癌症和 1.3-134.4 例癌症与环境 PM2.5 暴露有关。2021 年,PM2.5 和 PM10 的 HQ 值分别为 4.7 和 1.3,2022 年分别为 3.8 和 1.1,即预计会对人类健康造成风险。为减少与颗粒物有关的不良健康影响,需要采取空气排放控制策略。
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引用次数: 0
Stable isotopic, bulk, and molecular compositions of post-monsoon biomass-burning aerosols in Delhi suggest photochemical ageing during regional transport is more pronounced than local processing 德里季风后生物质燃烧气溶胶的稳定同位素、体积和分子组成表明,区域迁移过程中的光化学老化比本地处理更为明显
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-09-30 DOI: 10.1007/s10874-024-09461-2
Rishu Agarwal, Shankar Gopala Aggarwal, Bhagawati Kunwar, Dhananjay Kumar Deshmukh, Khem Singh, Daya Soni, Kimitaka Kawamura

The composition of aerosols influenced by regional pollution sources during a post-monsoon haze event was studied including the isotopic, bulk, and molecular signatures. The air mass back trajectory and fire spot analysis revealed that the Delhi aerosols were influenced by the regional post-harvest crop (rice plant) residue-burning activities during the sampling period. To better understand the atmospheric processes during such an event, three samples of 4 h duration each (Period I: from 06:00–10:00, Period II: 10:00–14:00, and Period III: 14:00–18:00 h local time) were collected during the sampling period (8th -17th November, 2019) in the daytime. The average mass concentration of PM2.5, molecular compounds including the inorganic and carbonaceous components (dicarboxylic acid class compounds), along with the stable isotopes of C and N were observed to be elevated during Period I of the study. NH4+ and SO42− were found to be the most abundant inorganic ions during Period II and III with Cl being the dominant ion during Period I. The OC/EC, WSOC/EC ratios indicated the influence of biomass burning on Delhi aerosols with little influence of local ageing processes evident from the minimal variation observed between the three periods of study during the day. High concentrations of dicarboxylic acids than previous studies are reported with oxalic and succinic acid being the most abundant diacids, a typical behaviour observed in biomass-burning influenced aerosols with an interesting observation of terephthalic acid to be found in an appreciable amount. The δ15 N of TN and δ13 C of TC signatures clearly indicated the influence of emissions from the burning of a C3 plant on the aerosols. The results strongly suggested that the aerosols were influenced by biomass-burning activities in the neighbouring regions and were aged during the atmospheric transport over to the city of Delhi with minimal effect of local ageing processes during the study period.

研究了季风后雾霾事件期间受区域污染源影响的气溶胶组成,包括同位素、体积和分子特征。气团回溯轨迹和火点分析表明,在采样期间,德里气溶胶受到了区域收获后作物(水稻)残留物焚烧活动的影响。为了更好地了解此类活动期间的大气过程,在采样期间(2019 年 11 月 8 日至 17 日)的白天采集了三个样本,每个样本持续 4 小时(期间 I:当地时间 06:00-10:00;期间 II:当地时间 10:00-14:00;期间 III:当地时间 14:00-18:00)。在研究期间 I,观察到 PM2.5、分子化合物(包括无机和碳质成分(二羧酸类化合物))以及 C 和 N 的稳定同位素的平均质量浓度升高。研究发现,NH4+ 和 SO42- 是周期 II 和 III 中含量最高的无机离子,而 Cl- 则是周期 I 中的主要离子。OC/EC、WSOC/EC 比率表明生物质燃烧对德里气溶胶的影响,从白天三个研究时段之间的最小变化可以看出,当地老化过程的影响很小。与之前的研究相比,报告中二羧酸的浓度较高,草酸和琥珀酸是含量最高的二元酸,这是生物质燃烧影响气溶胶中观察到的典型行为,有趣的是还发现了相当数量的对苯二甲酸。TN 的 δ15 N 和 TC 的 δ13 C 标志清楚地表明了 C3 植物燃烧排放物对气溶胶的影响。研究结果强烈表明,气溶胶受到邻近地区生物质燃烧活动的影响,并在向德里市的大气传输过程中被老化,研究期间当地老化过程的影响微乎其微。
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引用次数: 0
Characteristics of surface air quality over provincial capital cities in Northwestern China during 2013–2020 2013-2020 年中国西北地区省会城市地面空气质量特征
IF 3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-09-30 DOI: 10.1007/s10874-024-09462-1
Dipesh Rupakheti, Sushma Dhital, Maheswar Rupakheti, Xiufeng Yin, Ping Li, Sishir Dahal, Benzhong Zhang

In this study, we have reported spatial and temporal variation in particulate matter (PM), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO) and ozone (O3) over five provincial capital cities in northwestern China during 2013–2020. Regarding the seasonal variation, all pollutants (except ozone) exhibited the lowest concentration during summer and the highest concentration during winter, which could be attributed to increased anthropogenic activities (like coal burning) and conducive meteorological features. The highest monthly mean concentrations were primarily observed during December-February, whereas ozone exhibited the highest concentration during April-August, with different cities experiencing the highest concentration during different seasons. Regarding the diurnal variation exhibited by the pollutants, the lowest concentration of pollutants (except O3) was observed during the late afternoon (17:00–18:00) period. Ozone posed the urban site diurnal variation characteristic (peak during afternoon hour) over all sites. Urumqi had the highest PM2.5/PM10 ratio during November-March and the lowest ratio during April-October. Compared to the WHO revised guideline, the annual mean PM2.5 concentration was about 8–12 times higher, whereas the annual PM10 concentration was exceeded by a factor of up to 7. Most pollutants exhibited reduced concentration during the spring festival period. Analysis using HYSPLIT back trajectories indicated that the air masses affecting the five sites primarily originated from the northwestern area of China, although the impact of long-range pollution transport from remote regions should not be overlooked.

在这项研究中,我们报告了 2013-2020 年期间中国西北地区五个省会城市上空的颗粒物(PM)、二氧化硫(SO2)、二氧化氮(NO2)、一氧化碳(CO)和臭氧(O3)的时空变化。在季节变化方面,所有污染物(除臭氧外)在夏季浓度最低,在冬季浓度最高,这可能是由于人为活动(如燃煤)增加和有利的气象特征所致。月平均浓度最高的时段主要是 12 月至 2 月,而臭氧的最高浓度则出现在 4 月至 8 月,不同城市在不同季节的浓度最高。在污染物的昼夜变化方面,下午晚些时候(17:00-18:00)的污染物浓度最低(O3 除外)。在所有站点中,臭氧呈现出城市站点日变化特征(下午时段达到峰值)。乌鲁木齐的PM2.5/PM10比率在11月至3月期间最高,在4月至10月期间最低。与世界卫生组织修订的指南相比,PM2.5 的年均浓度高出约 8-12 倍,而 PM10 的年均浓度超标高达 7 倍。大多数污染物在春节期间的浓度都有所下降。使用 HYSPLIT 回溯轨迹分析表明,影响五个站点的气团主要来自中国西北地区,但也不能忽视偏远地区长程污染输送的影响。
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Journal of Atmospheric Chemistry
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