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Ntourou K, Fameli KM, Moustris K, Manousakis N, Tsitsis C. Trends of the Global Burden of Disease Linked to Ground-Level Ozone Pollution: A 30-Year Analysis for the Greater Athens Area, Greece. ATMOSPHERE 2024; 15:380. [DOI: 10.3390/atmos15030380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
Abstract
The Greater Athens Area (GAA), situated in the southern part of the European continent (in Greece), has a Mediterranean climate characterized by hot, dry summers and mild, wet winters. As a result of increased sunshine and high temperatures, exceedances in ozone concentrations are often recorded during the hot period. In the present study, the monthly as well as daily variations of O3 concentrations at thirteen stations in the GAA were investigated for the period 1987–2019. Moreover, the impact of O3 on the people’s health in Greece was examined by using data from the Global Burden of Disease (GBD) study with the socio-economic conditions of the country. Ozone concentrations were found to be particularly high during the summer months, especially in suburban stations. Values ranged from 65 μg/m3 to 90 μg/m3 during the night, in contrast to urban areas and remain high for several hours. Comparing estimates from GBD, it was found that exposure to ozone can impair respiratory function, leading to death or susceptibility to respiratory diseases that reduce quality of life, especially for people over 55 years of age. Finally, since 2009, when the economic crisis began in Greece, an upward trend was observed for deaths and disability adjusted life years.
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Affiliation(s)
- Kleopatra Ntourou
- Laboratory of Air Pollution, Mechanical Engineering Department, University of West Attica, Campus 2, 250 Thivon and P. Ralli Str., GR-12244 Athens, Greece
| | - Kyriaki-Maria Fameli
- Laboratory of Air Pollution, Mechanical Engineering Department, University of West Attica, Campus 2, 250 Thivon and P. Ralli Str., GR-12244 Athens, Greece
| | - Konstantinos Moustris
- Laboratory of Air Pollution, Mechanical Engineering Department, University of West Attica, Campus 2, 250 Thivon and P. Ralli Str., GR-12244 Athens, Greece
| | - Nikolaos Manousakis
- Laboratory of Electric Power Systems, Measuring Systems, Environment and Reverse Engineering, Department of Electrical and Electronics Engineering, University of West Attica, Campus 2, 250 Thivon and P. Ralli Str., GR-12244 Athens, Greece
| | - Christos Tsitsis
- Laboratory of Air Pollution, Mechanical Engineering Department, University of West Attica, Campus 2, 250 Thivon and P. Ralli Str., GR-12244 Athens, Greece
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Li C, Li F, Cheng Q, Guo Y, Zhang Z, Liu X, Qu Y, An J, Liu Y, Zhang S. Divergent summertime surface O 3 pollution formation mechanisms in two typical Chinese cities in the Beijing-Tianjin-Hebei region and Fenwei Plain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 870:161868. [PMID: 36731547 DOI: 10.1016/j.scitotenv.2023.161868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Recently, severe summertime ozone (O3) pollution has swept across most areas of China, especially the Beijing-Tianjin-Hebei (BTH) region and Fenwei Plain. By focusing on Beijing and Yuncheng, which are two typical cities in the BTH region and the Fenwei Plain, we intended to reveal the neglected fact that they had disparate emission features and atmospheric movements but suffered from similar high-O3 pollution levels. Field observations indicated that Yuncheng had lower volatile organic compound (VOC) and NOx concentrations but higher background O3 levels. The model simulation verified that both photochemical reactions and net O3 generation were stronger in Beijing. Ultimately, faster net O3 generation rates (8.4 ppbv/h) plus lower background O3 values in Beijing and lower net O3 generation rates (6.2 ppbv/h) plus higher background O3 values in Yuncheng caused both regions to reach similar O3 peak values in July 2020. However, different O3 control measures were appropriate for the two cities according to the different simulated O3-VOCs-NOx responses. Additionally, as surface O3 levels are greatly affected by the ongoing O3 production/depletion process that occurs in three dimensions, exploring the effects of spatially distributed O3 on surface O3 should be high on the agenda in the future.
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Affiliation(s)
- Chenlu Li
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Feng Li
- Jining Ecological Environment Monitoring Center, Jining 272000, China
| | - Qiang Cheng
- Dongchangfu Branch of Liaocheng Ecological Environment Bureau, Liaocheng 252000, China
| | - Yitian Guo
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Ziyin Zhang
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
| | - Xingang Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Yu Qu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
| | - Junling An
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yafei Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Siqing Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
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Luo Y, Xu L, Li Z, Zhou X, Zhang X, Wang F, Peng J, Cao C, Chen Z, Yu H. Air pollution in heavy industrial cities along the northern slope of the Tianshan Mountains, Xinjiang: characteristics, meteorological influence, and sources. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:55092-55111. [PMID: 36884176 PMCID: PMC9994416 DOI: 10.1007/s11356-023-25757-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
The spatiotemporal characteristics, relationship with meteorological factors, and source distribution of air pollutants (January 2017-December 2021) were analyzed to better understand the air pollutants on the northern slope of the Tianshan Mountains (NSTM) in Xinjiang, a heavily polluted urban agglomeration of heavy industries. The results showed that the annual mean concentrations of SO2, NO2, CO, O3, PM2.5, and PM10 were 8.61-13.76 μg m-3, 26.53-36.06 μg m-3, 0.79-1.31 mg m-3, 82.24-87.62 μg m-3, 37.98-51.10 μg m-3, and 84.15-97.47 μg m-3. The concentrations of air pollutants (except O3) showed a decreasing trend. The highest concentrations were in winter, and in Wujiaqu, Shihezi, Changji, Urumqi, and Turpan, the concentrations of particulate matter exceeded the NAAQS Grade II during winter. The west wind and the spread of local pollutants both substantially impacted the high concentrations. According to the analysis of the backward trajectory in winter, the air masses were mainly from eastern Kazakhstan and local emission sources, and PM10 in the airflow had a more significant impact on Turpan; the rest of the cities were more affected by PM2.5. Potential sources included Urumqi-Changj-Shihezi, Turpan, the northern Bayingol Mongolian Autonomous Prefecture, and eastern Kazakhstan. Consequently, the emphasis on improving air quality should be on reducing local emissions, strengthening regional cooperation, and researching transboundary transport of air pollutants.
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Affiliation(s)
- Yutian Luo
- College of Sciences, Shihezi University, Xinjiang, 832003 China
| | - Liping Xu
- College of Sciences, Shihezi University, Xinjiang, 832003 China
| | - Zhongqin Li
- College of Sciences, Shihezi University, Xinjiang, 832003 China
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Tianshan Glaciological Station, Chinese Academy of Sciences, Lanzhou, 730000 China
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China
| | - Xi Zhou
- Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000 China
| | - Xin Zhang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Tianshan Glaciological Station, Chinese Academy of Sciences, Lanzhou, 730000 China
| | - Fanglong Wang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Tianshan Glaciological Station, Chinese Academy of Sciences, Lanzhou, 730000 China
| | - Jiajia Peng
- College of Sciences, Shihezi University, Xinjiang, 832003 China
| | - Cui Cao
- College of Sciences, Shihezi University, Xinjiang, 832003 China
| | - Zhi Chen
- College of Sciences, Shihezi University, Xinjiang, 832003 China
| | - Heng Yu
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China
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Avdoulou MM, Golfinopoulos AG, Kalavrouziotis IK. Monitoring Air Pollution in Greek Urban Areas During the Lockdowns, as a Response Measure of SARS-CoV-2 (COVID-19). WATER, AIR, AND SOIL POLLUTION 2022; 234:13. [PMID: 36575694 PMCID: PMC9782276 DOI: 10.1007/s11270-022-06024-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
On March 11, 2020, the World Health Organization declared COVID-19 (SARS-CoV-2) a pandemic. Countries all over the world imposed restriction measures, in an attempt to limit the expansion of the pandemic. Provided that human activities in large urban areas affect air quality, we studied the concentrations of gaseous pollutants ΝΟ, ΝΟ2, O3, C6H6, and particulate matter PM10 in the air, through gas pollution measuring stations in the center of Athens (Greek capital), the center of Piraeus (Greece's largest port), Athens International Airport (most international and domestic flights within Greece). We monitored and compared the concentrations of ΝΟ, ΝΟ2, O3, C6H6, and ΡΜ10, of 2020 to those of the previous years and found that the primary air pollutants, ΝΟ, ΝΟ2, and C6H6, recorded decreased compared to those of the past years. The O3, which is produced secondarily at the ground of the earth being inversely dependent on NO/NO2, had in most cases increased. The particulate matter PM10, although reduced by the cessation of human activities, was inextricably linked to natural conditions, such as wind velocity and direction transporting African desert dust masses through storms, during which at certain periods was showing increased in concentrations. Supplementary Information The online version contains supplementary material available at 10.1007/s11270-022-06024-7.
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Mao M, Rao L, Jiang H, He S, Zhang X. Air Pollutants in Metropolises of Eastern Coastal China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15332. [PMID: 36430050 PMCID: PMC9691249 DOI: 10.3390/ijerph192215332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
Recently released hourly particular matter (PM:PM2.5 and PM10) and gaseous pollutants (SO2, NO2, CO, and O3) data observed in Qingdao, Hangzhou, and Xiamen from 2015 to 2019 were utilized to reveal the current situation of air pollution over eastern coastal China. The PM pollution situation over the three metropolises ameliorated during studied period with the concentrations decreasing about 20-30%. Gas pollutants, excepting SO2, generally exhibit no evident reduction tendencies, and a more rigorous control standard on gaseous pollutants is neededEven for the year 2018 with low pollution levels among the study period, these levels (<10% of PM2.5, <6% of PM10, and <15% of O3) surpass the Grade II of the Chinese Ambient Air Quality Standard (CAAQS) over these metropolises of eastern coast China. No matter in which year, both SO2 and CO concentrations are always below the Grade-II standards. According to the comparative analysis of PM2.5/PM10 and PM2.5/CO during episode days and non-episode days, the formation of secondary aerosols associated with stagnant weather systems play an important role in the pollutant accumulation as haze episodes occurred. The stronger seasonal variations and higher magnitude occur in Qingdao and Hangzhou, while weaker seasonal variations and lower magnitudes occur in Xiamen. In Qingdao and Hangzhou, PM, NO2, SO2, and CO show relatively high levels in the cold wintertime and low levels in summer, whereas O3 shows a completely opposite pattern. Xiamen exhibits high levels of all air pollutants except O3 in spring due to its subtropical marine monsoon climate with mild winters. According to the back trajectory hierarchical clustering and concentration weighted trajectory (CWT) analysis, the regional transmission from adjacent cities has a significant impact on the atmospheric pollutant concentrations under the control of the prejudiced winds. Thus, besides local emission reduction, strengthening regional environmental cooperation and implementing joint prevention are effective measures to mitigate air pollution in the eastern coastal areas of China.
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Affiliation(s)
- Mao Mao
- School of Atmosphere and Remote Sensing, Wuxi University, Wuxi 214105, China
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Liuxintian Rao
- School of Atmosphere and Remote Sensing, Wuxi University, Wuxi 214105, China
| | - Huan Jiang
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Siqi He
- School of Atmosphere and Remote Sensing, Wuxi University, Wuxi 214105, China
| | - Xiaolin Zhang
- School of Atmosphere and Remote Sensing, Wuxi University, Wuxi 214105, China
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
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Inventory of Commercial Cooking Activities and Emissions in a Typical Urban Area in Greece. ATMOSPHERE 2022. [DOI: 10.3390/atmos13050792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The pollutants emitted during meal preparation in restaurants deteriorate the air quality. Thus, it is an environmental issue that needs to be addressed, especially in areas where these activities are densely located. The purpose of this study is to examine the impact on air quality from commercial cooking activities by performing a qualitative and quantitative analysis of the related parameters. The area of interest is located in the southeastern Mediterranean (Greater Athens area in Greece). Due to the lack of the necessary activity information, a survey was conducted. Emissions from the fuel burnt during the cooking procedures were calculated and it was found that, overall, 940.1 tonnes are attributed to commercial cooking activities annually (generated by classical pollutants, heavy metals, particulates and polycyclic aromatic hydrocarbon emissions). Comparing the contribution of different sources to the pollutants emitted, it was found that commercial cooking is responsible for about 0.6%, 0.8% and 1.0% of the total CO, NOx and PM10 values. Cooking organic aerosol (COA) and volatile organic compound (VOC) emissions from grilled meat were also calculated, accounting for 724.9 tonnes and 37.1 tonnes, respectively. Monthly, daily and hourly profiles of the cooking activities were developed and emissions were spatially disaggregated, indicating the city center as the area with higher values. Numerical simulations were performed with the WRF/CAMx modeling system and the results revealed a contribution of about 6% to the total PM10 concentrations in the urban center, where the majority of restaurants are located.
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Liang X, Wang L, Wen T, Liu H, Zhang J, Liu Z, Zhu C, Long C. Mesoporous poorly crystalline α-Fe 2O 3 with abundant oxygen vacancies and acid sites for ozone decomposition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 804:150161. [PMID: 34517313 DOI: 10.1016/j.scitotenv.2021.150161] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/27/2021] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
In this work, mesoporous poorly crystalline hematite (α-Fe2O3) was prepared using mesoporous silica (KIT-6) functionalized with 3-[(2-aminoethyl)amino]propyltrimethoxysilane as a hard template (SMPC-α-Fe2O3). The disordered atomic arrangement structure of SMPC-α-Fe2O3 promoted the formation of oxygen vacancies, which was confirmed using X-ray photoelectron spectroscopy (XPS), O2-temperature-programmed desorption (TPD), H2-temperature-programmed reduction (TPR), and in situ diffuse reflectance infrared Fourier transform (DRIFT) analyses. Density functional theory calculations (DFT) also proved that reducing the crystallinity of α-Fe2O3 decreased the formation energy of oxygen vacancies. TPD and in situ DRIFT analyses of NH3 adsorption suggested that the surface acidity of SMPC-α-Fe2O3 was considerably higher than those of mesoporous poorly crystalline α-Fe2O3 (MPC-α-Fe2O3) and highly crystalline α-Fe2O3 (HC-α-Fe2O3). The oxygen vacancies and acid sites formed on α-Fe2O3 surface are beneficial for ozone (O3) decomposition. Compared with MPC-α-Fe2O3 and HC-α-Fe2O3, SMPC-α-Fe2O3 exhibited a higher removal efficiency for 200-ppm O3 at a space velocity of 720 L g-1 h-1 at 25 ± 2 °C under dry conditions. Additionally, in situ DRIFT and XPS results suggested that the accumulation of peroxide (O22-) and the conversion of O22- to lattice oxygen over the oxygen vacancies caused catalyst deactivation. However, O22- could be desorbed completely by continuous N2 purging at approximately 350 °C. This study provides significant insights for developing highly active α-Fe2O3 catalysts for O3 decomposition.
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Affiliation(s)
- Xiaoshan Liang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Lisha Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Tiancheng Wen
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Huijuan Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jian Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Zhu Liu
- Department of Chemistry, Washington State University, Pullman, WA 99164, USA
| | - Chengzhang Zhu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Chao Long
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Quanzhou Institute for Environmental Protection Industry, Nanjing University, Beifeng Road, Quanzhou 362000, China.
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Cucciniello R, Raia L, Vasca E. Air quality evaluation during COVID-19 in Southern Italy: the case study of Avellino city. ENVIRONMENTAL RESEARCH 2022; 203:111803. [PMID: 34363800 PMCID: PMC8479540 DOI: 10.1016/j.envres.2021.111803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/02/2021] [Accepted: 07/28/2021] [Indexed: 05/06/2023]
Abstract
The present study relies on the air quality evaluation during COVID-19 pandemic in Avellino, described in the last years and for several consecutive years, among the worst Italian cities in this context. The main purpose of this manuscript was to investigate the effects of quarantine and lockdown measures on air pollution. The concentrations of the main atmospheric pollutants (Carbon monoxide (CO), Ozone (O3), Fine Particulate (PM2.5 and PM10), Benzene (C6H6) and Nitrogen dioxide (NO2) were recorded during the period January-December 2020 using two stationary monitoring stations (AV1 and AV2) of the Regional Environmental Protection Agency (ARPAC). During the lockdown period (March 9-May 18, 2020), results indicated significant reductions only in the levels of CO, benzene and NO2, while for PM10 the limit of 50 μg m-3 was passed 8 times for AV1 and 13 times for AV2. The results showed the not predominant role of traffic on air quality in Avellino regards to PM levels and make it necessary a serious reflection about important and not extendable decisions to improve the air quality.
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Affiliation(s)
- Raffaele Cucciniello
- Department of Chemistry and Biology "Adolfo Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
| | - Letizia Raia
- Department of Chemistry and Biology "Adolfo Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy
| | - Ermanno Vasca
- Department of Chemistry and Biology "Adolfo Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy
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Kumar A, Hakkim H, Ghude SD, Sinha V. Probing wintertime air pollution sources in the Indo-Gangetic Plain through 52 hydrocarbons measured rarely at Delhi & Mohali. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 801:149711. [PMID: 34438157 DOI: 10.1016/j.scitotenv.2021.149711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 08/12/2021] [Accepted: 08/12/2021] [Indexed: 06/13/2023]
Abstract
During wintertime, the Indo-Gangetic Plain suffers from severe air pollution affecting several hundred million people. Here we present unprecedented measurements and source analyses of 52 NMHCs (25 alkanes, 16 aromatics, 10 alkenes and one alkyne) in the cities of Delhi and Mohali (300 km north of Delhi) during wintertime (Dec 2016-Jan 2017). NMHCs were measured using a thermal desorption gas chromatograph equipped with flame ionisation detectors with data traceable to WMO standards. The ten most abundant NMHCs that were measured were the same at both Delhi and Mohali: propane, n-butane, acetylene, ethane, toluene, i-butane, ethene, i-pentane, benzene and propene and accounted for >50% of total measured NMHC mass concentration (137 ± 5.8 μg m-3 in Mohali and 239 ± 7.7 μg m-3 in Delhi). Ambient NMHCs and calculated hydroxyl radical reactivity were approximately twice as high in Delhi relative to Mohali, and 2-12 times higher than most other mega-cities, except Lahore and Karachi. Using chemical source signatures, traffic and LPG usage emissions were identified as the major contributor of these reactive NMHCs at both sites during nighttime, with additional minor contributions of garbage burning in Mohali, and evaporative fuel and biomass burning emissions in Delhi. Comparison of NMHC/CO and NMHC/C2H2 ratios over Mohali and Delhi, to other cities, suggested gasoline/petrol-fuelled vehicles were major NMHC emitters within the traffic source. The data from both Mohali and Delhi suggest that a large fraction of the fleet comprised vehicles with older emission control in both Mohali and Delhi. Analyses revealed poor representation of propene, ethene and trimethylbenzenes in the emission inventory (EDGARv4.3.2) over Mohali and Delhi. This study provides key data and new insights into the sources of reactive NMHCs (lifetime < few days) that drive regional wintertime pollution through direct effects and the formation of secondary pollutants.
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Affiliation(s)
- Ashish Kumar
- Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Mohali, Punjab 140306, India
| | - Haseeb Hakkim
- Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Mohali, Punjab 140306, India
| | - Sachin D Ghude
- Indian Institute of Tropical Meteorology, Pashan, Pune 411008, India
| | - Vinayak Sinha
- Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Mohali, Punjab 140306, India.
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Li D, Liao Y. Pollution zone identification research during ozone pollution processes. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:591. [PMID: 32820457 DOI: 10.1007/s10661-020-08552-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 08/13/2020] [Indexed: 06/11/2023]
Abstract
Identifying an ozone pollution zone during the pollution processes is significant for ozone pollution management and environmental health risk assessment. However, few studies have focused on ozone pollution zone identification during pollution processes. A spatial-temporal clustering framework for identifying pollution zones during ozone pollution processes was initially proposed in this study, and an ozone pollution process in China in May 2017 was selected as a case. The results showed that the framework can help selecting one more accurate method to identify the pollution zone according to the pollution characteristics of air pollution process. In addition, different ozone pollution zone identification methods work well in different scenarios: The self-organizing map (SOM) method was suitable for identifying the zone with the duration of pollution between 24 and 48 h, the image fusion based on wavelet transform (IFbWT) method for the zone with the duration of pollution over 48 h and the Apriori method for the zone with obvious boundaries between high-value and low-value ozone concentrations. The proposed procedure can also be applied to identify the pollution zone of the pollution process of other pollutants.
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Affiliation(s)
- Dongyue Li
- The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yilan Liao
- The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China.
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Source Characteristics of Atmospheric CO2 and CH4 in a Northeastern Highland Area of South Korea. ATMOSPHERE 2020. [DOI: 10.3390/atmos11050509] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study aims to present the atmospheric CO2 and CH4 levels and analyze their source characteristics at an observation station in a northeastern highland area of Korea for the 2012–2014 period. We summarized the measured CO2 and CH4 concentrations for the 2012–2014 period. In addition, we characterized the major source of the rise of CO2 and CH4 in Ganseong (GS) by employing bivariate polar plots (BPP) and the concentration weighted trajectory (CWT) method together with currently available information on emission sources. For the three years, CO2 was generally high in the order of winter, spring, autumn and summer and CH4 high in the order of winter, autumn, spring and summer. The observed positive correlations between the hourly CO2 and CH4 in every season suggested the possibility of shared common emission sources, but there is a necessity for elucidation on this in the future. The BPP analysis indicated the local sources that are likely to be associated with the rise of greenhouse gases (GHGs) observed at GS (combustion in the village, plant respirations nearby GS, and mobile emissions on the nearby road for CO2 and leakages from the gas stations along the road and agricultural activities for CH4). Synthesizing the CWT results together with emission source information from national and global emission inventories, we identified likely major source areas and characterized major emission sources. For example, the identified major sources for the winter CO2 are coal combustion, coal washing and industrial activities in Inner Mongolia, northern and the northeastern China, fuel burning for the energy for the infrastructure of a northwestern city in South Korea, and the manufacturing industry and fuel combustion in the northern parts of North Korea. Hopefully, these kinds of results will aid environmental researchers and decision-makers in performing more in-depth studies for GHG sources in order to derive effective mitigation strategies.
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Xiong J, Ye C, Zhou T, Cheng W. Health Risk and Resilience Assessment with Respect to the Main Air Pollutants in Sichuan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16152796. [PMID: 31390724 PMCID: PMC6696145 DOI: 10.3390/ijerph16152796] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 07/31/2019] [Accepted: 08/01/2019] [Indexed: 11/28/2022]
Abstract
Rapid urbanization and industrialization in developing countries have caused an increase in air pollutant concentrations, and this has attracted public concern due to the resulting harmful effects to health. Here we present, through the spatial-temporal characteristics of six criteria air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3) in Sichuan, a human health risk assessment framework conducted to evaluate the health risk of different age groups caused by ambient air pollutants. Public health resilience was evaluated with respect to the risk resulting from ambient air pollutants, and a spatial inequality analysis between the risk caused by ambient air pollutants and hospital density in Sichuan was performed based on the Lorenz curve and Gini coefficient. The results indicated that high concentrations of PM2.5 (47.7 μg m−3) and PM10 (75.9 μg m−3) were observed in the Sichuan Basin; these two air pollutants posed a high risk to infants. The high risk caused by PM2.5 was mainly distributed in Sichuan Basin (1.14) and that caused by PM10 was principally distributed in Zigong (1.01). Additionally, the infants in Aba and Ganzi had high health resilience to the risk caused by PM2.5 (3.89 and 4.79, respectively) and PM10 (3.28 and 2.77, respectively), which was explained by the low risk in these two regions. These regions and Sichuan had severe spatial inequality between the infant hazard quotient caused by PM2.5 (G = 0.518, G = 0.493, and G = 0.456, respectively) and hospital density. This spatial inequality was also caused by PM10 (G = 0.525, G = 0.526, and G = 0.466, respectively), which is mainly attributed to the imbalance between hospital distribution and risk caused by PM2.5 (PM10) in these two areas. Such research could provide a basis for the formulation of medical construction and future air pollution control measures in Sichuan.
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Affiliation(s)
- Junnan Xiong
- School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
| | - Chongchong Ye
- School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China.
| | - Tiancai Zhou
- Synthesis Research Centre of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiming Cheng
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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Zhou X, Li Z, Zhang T, Wang F, Wang F, Tao Y, Zhang X, Wang F, Huang J. Volatile organic compounds in a typical petrochemical industrialized valley city of northwest China based on high-resolution PTR-MS measurements: Characterization, sources and chemical effects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 671:883-896. [PMID: 30947059 DOI: 10.1016/j.scitotenv.2019.03.283] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/16/2019] [Accepted: 03/19/2019] [Indexed: 05/22/2023]
Abstract
To scientifically understand the emissions and chemistry of volatile organic compounds (VOCs) in a typical petrochemical industrialized and dust-rich region of Northwest China, VOCs were measured at a receptor site in the Lanzhou Valley using a high-resolution online proton transfer reaction-mass spectrometer (PTR-MS). The ranking of VOC mixing ratios was methanol (32.72 ± 8.94 ppb) > acetaldehyde (5.05 ± 2.4 ppb) > acetic acid (3.42 ± 1.71 ppb). Lanzhou has higher oxygenated VOCs (OVOCs) mixing ratios (methanol and acetaldehyde) and lower aromatics levels (benzene, toluene and C8-aromatics) compared with other cities. The positive matrix factorization (PMF) model showed eight sources of VOCs as follows: (1) mixed industrial process-1 (13.5%), (2) secondary formation (13.2%), (3) mixed industrial process-2 (11.8%), (4) residential biofuel use and waste disposal (13.80%), (5) solvent usage (10.1%), (6) vehicular exhaust (11.8%), (7) biogenic (13.8%) and (8) biomass burning (12.0%). Both the PSCF and the CWT results of mixed industrial process-1 were mainly from the northeast of Lanzhou and the biomass burning was from the southeast; the other four sources (without secondary formation and biogenic) were mainly from the west and northwest of Lanzhou, which were associated with the dust area of the Gobi Desert. A trajectory sector analysis revealed that the local emissions contributed 64.9-71.1% to the VOCs. OVOCs accounted for 43% of the ozone production potential (OFP), and residential biofuel use and waste disposal (25.1%), mixed industrial process-2 (15.3%) and solvent usage (13.4%) appeared to be the dominant sources contributors to O3 production. The rank of main secondary organic aerosols (SOA) precursors under low-NOx conditions is xylene > toluene > benzene > naphthalene > styrene > C10-aromatics > isoprene, while under high-NOx conditions, it is toluene > naphthalene > xylene > C10-aromatics > styrene > benzene > isoprene. Solvent usage and vehicular exhaust appeared to be the dominant contributors to SOA formation.
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Affiliation(s)
- Xi Zhou
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Tianshan Glaciological Station, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Zhongqin Li
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Tianshan Glaciological Station, Chinese Academy of Sciences, Lanzhou 730000, China; College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China.
| | - Tinjun Zhang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; University Corporation for Polar Research, Beijing 100875, China
| | - Fanglin Wang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Feiteng Wang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Tianshan Glaciological Station, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Yan Tao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Xin Zhang
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China
| | - Fanglong Wang
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China
| | - Ju Huang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
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Zhao S, Yu Y, Yin D, Qin D, He J, Dong L. Spatial patterns and temporal variations of six criteria air pollutants during 2015 to 2017 in the city clusters of Sichuan Basin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 624:540-557. [PMID: 29268226 DOI: 10.1016/j.scitotenv.2017.12.172] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 12/14/2017] [Accepted: 12/15/2017] [Indexed: 06/07/2023]
Abstract
Spatiotemporal variations of six criteria air pollutants and influencing factors in the city clusters of Sichuan Basin were studied based on real-time hourly concentrations of PM2.5 (the particles with diameters smaller than 2.5μm), PM10 (the particles with diameters smaller than 10μm), SO2, NO2, CO and O3 and routine meteorological data during the years from 2015 to 2017. The Sichuan Basin was further categorized into four regions: West, south, northeast Sichuan Basin (WSB, SSB and NESB) and plateau of west Sichuan Basin (PWSB) to better understand regional air pollution characteristics. Heavy air pollution was mainly induced by high PM2.5 or ozone concentrations in the cities clusters of Sichuan Basin. The compound air pollution characteristics existed in WSB with simultaneously high concentrations of PM2.5 and ozone, while PM2.5 concentrations in SSB were the highest among the four regions and especially in the city of Zigong with maximum PM2.5 concentration of 109.3μgm-3 in winter. The MDA8 (daily maximum 8-hour average surface O3 concentrations) more frequently exceeded CAAQS (Chinese Ambient Air Quality Standards) Grade I and II standards in Ziyang, Guang'an and Liangshan than the other cities maybe due to joint effects of industry emissions and regional transportation from surrounding cities. Annual (diurnal) variations of the pollutants with the exception of ozone showed "U" (flat "W") shape, while the ozone exhibited the opposite trends inside Sichuan Basin (WSB, SSB and NESB). Ozone pollution was more dependent on vehicle emissions inside Sichuan Basin, and industry had more important effects on ozone in the cities of PWSB with less vehicles. Severe ozone pollution can be formed easily under the weather conditions of high temperature, long sunshine duration and low RH (relative humidity) inside Sichuan Basin. High ozone concentrations in winter in PWSB may be partly transported from the other surrounding cities.
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Affiliation(s)
- Suping Zhao
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Shanghai, China; State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
| | - Ye Yu
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Daiying Yin
- Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Dahe Qin
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Jianjun He
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Longxiang Dong
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
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Dimitriou K, Kassomenos P. Airborne heavy metals in two cities of North Rhine Westphalia - Performing inhalation cancer risk assessment in terms of atmospheric circulation. CHEMOSPHERE 2017; 186:78-87. [PMID: 28768161 DOI: 10.1016/j.chemosphere.2017.07.138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Revised: 07/17/2017] [Accepted: 07/18/2017] [Indexed: 05/22/2023]
Abstract
The main objective of this study was to examine the levels of four heavy metals (As, Cd, Pb and Ni) in PM10 samples collected in two urban background stations in Dortmund and Bielefeld, in relation to atmospheric circulation. Pollution roses, Conditional Probability Function (CPF) roses and backward air mass trajectory clusters were used to identify air currents associated with the importation of PM10 and of the included metal constituents. In addition, PM10, NO2, SO2, O3, As, Cd, Ni and Pb concentrations were analyzed by a Principal Component Analysis (PCA) to reveal major local emission sources of PM10 metal content. Traffic was the main emitter of PM10, As, Cd, and Pb in both cities, highlighting the existence of non-negligible lead quantities in unleaded gasoline, whilst nickel emissions were associated with heavy fuel oil combustion in industries and primarily for domestic heating. The created CPF roses and trajectory clusters were in good agreement, clearly revealing that eastern air currents enriched the locally produced PM10 load with additional aerosols from Eastern Europe. The concentrations of arsenic and cadmium were also enhanced by the arrival of air parcels from the East, indicating the anthropogenic origin of the exogenous aerosols due to combustion. The induced cancer risk (CRinh) for adults, due to inhalation of individual metal constituents, was also estimated in terms of atmospheric circulation, indicating higher risk in Dortmund than in Bielefeld. CRinh values for arsenic exceeded the limit of 1 × 10-6 in both cities, primarily during the influence of eastern circulation.
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Affiliation(s)
| | - Pavlos Kassomenos
- Laboratory of Meteorology, Department of Physics, University of Ioannina, Greece
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Grivas G, Dimakopoulou K, Samoli E, Papakosta D, Karakatsani A, Katsouyanni K, Chaloulakou A. Ozone exposure assessment for children in Greece - Results from the RESPOZE study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 581-582:518-529. [PMID: 28062110 DOI: 10.1016/j.scitotenv.2016.12.159] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 12/23/2016] [Accepted: 12/23/2016] [Indexed: 06/06/2023]
Abstract
Ozone exposure of 179 children in Athens and Thessaloniki, Greece was assessed during 2013-2014, by repeated weekly personal measurements, using passive samplers. O3 was also monitored at school locations of participants to characterize community-level ambient exposure. Average personal concentrations in the two cities (5.0 and 2.8ppb in Athens and Thessaloniki, respectively) were considerably lower than ambient concentrations (with mean personal/ambient ratios of 0.13-0.15). The temporal variation of personal concentrations followed the -typical for low-latitude areas- pattern of cold-warm seasons. However, differences were detected between temporal distributions of personal and ambient concentrations, since personal exposures were affected by additional factors which present seasonal variability, such as outdoor activity and house ventilation. Significant spatial contrasts were observed between urban and suburban areas, for personal concentrations in Athens, with higher exposure for children residing in the N-NE part of the area. In Thessaloniki, spatial variations in personal concentrations were less pronounced, echoing the spatial pattern of ambient concentrations, a result of complex local meteorology and the smaller geographical expansion of the study area. Ambient concentration was identified as the most important factor influencing personal exposures (correlation coefficients between 0.36 and 0.67). Associations appeared to be stronger with ambient concentrations measured at school locations of children, than to those reported by the nearest site of the air quality monitoring network, indicating the importance of community-representative outdoor monitoring for characterization of personal-ambient relationships. Time spent outdoors by children was limited (>90% of the time they remained indoors), but -due to the lack of indoor sources- it was found to exert significant influence on personal concentrations, affecting inter-subject and spatiotemporal variability. Additional parameters that were identified as relevant for the determination of personal concentrations were indoor ventilation conditions (specifically indoor times with windows open) and the use of wood-burning in open fireplaces for heating as an ozone sink.
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Affiliation(s)
- Georgios Grivas
- School of Chemical Engineering, National Technical University of Athens, GR 15780, Greece.
| | - Konstantina Dimakopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, School of Medicine, 75, Mikras Asias Street, 115 27 Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, School of Medicine, 75, Mikras Asias Street, 115 27 Athens, Greece
| | - Despina Papakosta
- Pulmonary Department, G. Papanikolaou Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anna Karakatsani
- 2nd Pulmonary Department, "ATTIKON" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, School of Medicine, 75, Mikras Asias Street, 115 27 Athens, Greece; Department of Primary Care & Public Health Sciences and MRC-PHE Centre for Environment and Health, King's College London, London, UK
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Sari D, İncecik S, Ozkurt N. Surface ozone levels in the forest and vegetation areas of the Biga Peninsula, Turkey. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 571:1284-1297. [PMID: 27474990 DOI: 10.1016/j.scitotenv.2016.07.168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 06/27/2016] [Accepted: 07/23/2016] [Indexed: 06/06/2023]
Abstract
Spatial and temporal variability of surface ozone in the rural, mountainous and suburban sites of Biga Peninsula, at the northwest of Turkey which is about 300km southwest of Istanbul was investigated using passive samplers and continuous analyzers. A total 10 passive samplers and two continuous analyzers were used between 1.1.2013 and 31.12.2014. OX levels in the study region were examined to understand NOx dependent or independent contribution to ozone. The influences of the meteorological parameters on ozone levels were also examined by wind speed and ambient temperature. The results clearly show that mountainous areas have higher cumulative exposure to ozone than suburban locations. In order to understand the long range transport sources contributing to the high ozone levels in the region backward trajectories were computed using HYSPLIT model and then clustering of trajectories are performed. The results clearly show the characteristics of pollutant transport from north to Biga Peninsula. Additionally, AOT40 (Accumulated hourly O3 concentrations Over a Threshold of 40ppb) cumulative index was calculated using daytime hourly measurements. The results indicate that the ozone values in the study area are much higher than the critical levels for forest and vegetation based on EU Directive 2008/50/EC.
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Affiliation(s)
- Deniz Sari
- TUBITAK Marmara Research Center, Environment and Cleaner Production Institute, 41470 Kocaeli, Turkey.
| | - Selahattin İncecik
- Department of the Meteorology, İstanbul Technical University, İstanbul, Turkey
| | - Nesimi Ozkurt
- TUBITAK Marmara Research Center, Environment and Cleaner Production Institute, 41470 Kocaeli, Turkey
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Vedrenne M, Borge R, Lumbreras J, Conlan B, Rodríguez ME, de Andrés JM, de la Paz D, Pérez J, Narros A. An integrated assessment of two decades of air pollution policy making in Spain: Impacts, costs and improvements. THE SCIENCE OF THE TOTAL ENVIRONMENT 2015; 527-528:351-361. [PMID: 25965050 DOI: 10.1016/j.scitotenv.2015.05.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 04/07/2015] [Accepted: 05/04/2015] [Indexed: 06/04/2023]
Abstract
This paper analyses the effects of policy making for air pollution abatement in Spain between 2000 and 2020 under an integrated assessment approach with the AERIS model for number of pollutants (NOx/NO2, PM10/PM2.5, O3, SO2, NH3 and VOC). The analysis of the effects of air pollution focused on different aspects: compliance with the European limit values of Directive 2008/50/EC for NO2 and PM10 for the Spanish air quality management areas; the evaluation of impacts caused by the deposition of atmospheric sulphur and nitrogen on ecosystems; the exceedance of critical levels of NO2 and SO2 in forest areas; the analysis of O3-induced crop damage for grapes, maize, potato, rice, tobacco, tomato, watermelon and wheat; health impacts caused by human exposure to O3 and PM2.5; and costs on society due to crop losses (O3), disability-related absence of work staff and damage to buildings and public property due to soot-related soiling (PM2.5). In general, air quality policy making has delivered improvements in air quality levels throughout Spain and has mitigated the severity of the impacts on ecosystems, health and vegetation in 2020 as target year. The findings of this work constitute an appropriate diagnosis for identifying improvement potentials for further mitigation for policy makers and stakeholders in Spain.
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Affiliation(s)
- Michel Vedrenne
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain; Ricardo-AEA, Air & Environment Quality, 55 Bryanston Street, W1H 7AA London, UK.
| | - Rafael Borge
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - Julio Lumbreras
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - Beth Conlan
- Ricardo-AEA, Air & Environment Quality, 55 Bryanston Street, W1H 7AA London, UK
| | - María Encarnación Rodríguez
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - Juan Manuel de Andrés
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - David de la Paz
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - Javier Pérez
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - Adolfo Narros
- Department of Chemical & Environmental Engineering, Technical University of Madrid, (UPM), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
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