scholarly journals Characterization of Air Pollution in Pre-COVID 19 Time Using the IVE Model Applied to Mobile Sources in Urban Areas

2021 ◽  
Vol 943 (1) ◽  
pp. 012003
Author(s):  
Carmen Cuba ◽  
Roberto Cuba ◽  
Victor Arroyo ◽  
Jose Morales
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Urban Areas ◽  
Management Control ◽  
Atmospheric Pollutants ◽  
Effective Control ◽  
Prevention Measures ◽  
Mobile Sources ◽  
Volatile Organic ◽  
Ive Model

Abstract In this article we present the design of effective control strategies (IVE Model), to predict atmospheric pollutants, greenhouse gases and toxins, from mobile sources, made up of 800 motorized vehicles, obtained from the records of the transport office of the Provincial Municipality of Ica. through an inventory of emissions from mobile sources, emission factors, activity and distribution of the vehicle fleet. The results obtained are Carbon Monoxide (CO, 23235.23 t/year), Volatile Organic Compounds (VOC: 12123.55 t / year), Nitrogen Oxides (Nox: 361.76 t/year), Evaporative Volatile Organic Compounds (COVevap: 455.2 t / year), Particulate Material (PM: 361.76 t / year) and Sulfur Oxides (Sox: 50.75 t / year). Where the highest CO emissions are cars and motorcycles, representing 45.72% and 36% of the total CO emissions released in the study area. It is concluded that prevention measures and actions such as transport management, control of vehicular emissions, promotion of the use of clean fuels, as a way of mitigating the atmospheric pollutants that could be generated, be established.

scholarly journals Spatial Distribution, Source Apportionment, Ozone Formation Potential, and Health Risks of Volatile Organic Compounds over a Typical Central Plain City in China

Atmosphere ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1365
Author(s):  
Kun He ◽  
Zhenxing Shen ◽  
Jian Sun ◽  
Yali Lei ◽  
Yue Zhang ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Source Apportionment ◽  
Organic Compounds ◽  
Health Risks ◽  
Urban Areas ◽  
High Time Resolution ◽  
Ozone Formation ◽  
Industrial Site ◽  
Industrial Emissions ◽  
Volatile Organic

The profiles, contributions to ozone formation, and associated health risks of 56 volatile organic compounds (VOCs) species were investigated using high time resolution observations from photochemical assessment monitoring stations (PAMs) in Luoyang, China. The daily averaged concentration of total VOCs (TVOCs) was 21.66 ± 10.34 ppbv in urban areas, 14.45 ± 7.40 ppbv in suburbs, and 37.58 ± 13.99 ppbv in an industrial zone. Overall, the VOCs levels in these nine sites followed a decreasing sequence of alkanes > aromatics > alkenes > alkyne. Diurnal variations in VOCs exhibited two peaks at 8:00–9:00 and 19:00–20:00, with one valley at 23:00–24:00. Source apportionment indicated that vehicle and industrial emissions were the dominant sources of VOCs in urban and suburban sites. The industrial site displayed extreme levels, with contributions from petrochemical-related sources of up to 38.3%. Alkenes and aromatics displayed the highest ozone formation potentials because of their high photochemical reactivity. Cancer and noncancer risks in the industrial site were higher than those in the urban and suburban areas, and USEPA possible risk thresholds were reached in the industrial site, indicating PAMs VOC–related health problems cannot be ignored. Therefore, vehicle and industrial emissions should be prioritized when considering VOCs and O3 control strategies in Luoyang.

scholarly journals Tracking Separate Contributions of Diesel and Gasoline Vehicles to Roadside PM<sub>2.5</sub> Through Online Monitoring of Volatile Organic Compounds, PM<sub>2.5</sub> Organic and Elemental Carbon: A Six-Year Study in Hong Kong

2020 ◽  
Author(s):  
Yee Ka Wong ◽  
X. H. Hilda Huang ◽  
Peter K. K. Louie ◽  
Alfred L. C. Yu ◽  
Damgy H. L. Chan ◽  
...  
Keyword(s):  
Hong Kong ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Elemental Carbon ◽  
Online Monitoring ◽  
Monitoring Data ◽  
Effective Control ◽  
Diesel Vehicles ◽  
Gasoline Vehicles ◽  
Volatile Organic

Abstract. Vehicular emissions contribute a significant portion to fine particulate matter (PM2.5) air pollution in urban areas. Knowledge of the relative contribution of gasoline versus diesel powered vehicles is highly policy relevant and yet there lacks an effective observation-based method to determine this quantity, especially for its robust tracking over a period of years. In this work, we present an approach to track separate contributions by gasoline and diesel vehicles through positive matrix factorization (PMF) analysis of online monitoring data measurable by relatively inexpensive analytical instruments. They are PM2.5 organic and elemental carbon (OC and EC), C2–C9 volatile organic compounds (VOCs) (e.g., pentanes, benzene, xylenes, etc) and nitrogen oxides concentrations. The method was applied to monitoring data spanning over six years between 2011 and 2017 in a roadside environment in Hong Kong. We found that diesel vehicles accounted for ~ 70–90 % of the vehicular PM2.5 (PMvehicle) over the years and the remaining from gasoline vehicles. The diesel PMvehicle during a truck- and a bus-dominated periods showed declining trends, in coincidence with control efforts targeting at diesel commercial vehicles and franchised buses in the intervening period. The combined PMvehicle from diesel and gasoline vehicles by PMF agrees well with an independent estimate by the EC-tracer method, both confirming PMvehicle contributed significantly to the PM2.5 in this urban environment (~ 4–8 µg m−3, representing 30–60 % in summer and 10–20 % in winter). Our work shows that long-term monitoring of roadside VOCs and PM2.5 OC and EC is effective for tracking gaseous and PM pollutants from different vehicle categories. This work also demonstrates the value of evidence-based approach in support of effective control policy formulation.

scholarly journals Study of Indoor PM2.5 and Volatile Organic Compounds Concentration in Selected Rural and Urban Areas of Zambia

2018 ◽  
Vol 6 (2) ◽  
pp. 62-67
Author(s):  
David Mulenga ◽  
Hebert Tato Nyirenda ◽  
Prispa Mwila ◽  
Chibangula M. Chileshe ◽  
Seter Siziya
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Urban Areas ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Volatile Organic ◽  
Indoor Pm2.5

scholarly journals Sources of volatile organic compounds and policy implications for regional ozone pollution control in an urban location of Nanjing, East China

2019 ◽  
Author(s):  
Qiuyue Zhao ◽  
Jun Bi ◽  
Zhenghao Ling ◽  
Qian Liu ◽  
Guofeng Shen ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Policy Implications ◽  
Chemical Mechanism ◽  
Effective Control ◽  
Urban Site ◽  
Biogenic Emissions ◽  
Industrial Emissions ◽  
Photochemical Pollution ◽  
Volatile Organic

Abstract. Understanding the composition, temporal variability, and source apportionment of volatile organic compounds (VOCs) is necessary for determining effective control measures to minimize VOCs and its related photochemical pollution. To provide a comprehensive analysis of VOC sources and their contributions to ozone (O3) formation in the Yangtze River Delta (YRD) – a region experiencing highest rates of industrial and economic development in China, we conducted a one-year sampling exercise for the first time at an urban site in Nanjing (JAES site). Alkanes were the dominant group at the JAES site, contributing ~ 53 % to the observed total VOCs, followed by aromatics (~ 17 %), acetylene (~ 17 %), and alkenes (~ 13 %). We identified seasonal variability in TVOCs with maximum and minimum concentrations in winter and summer, respectively. A morning and evening peak and a daytime trough were identified in the diurnal VOCs patterns. We identified the source apportionments of VOCs and their contributions to photochemical O3 formation using the Positive Matrix Factorization (PMF) and observation-based model together with a Master Chemical Mechanism (MCM). The PMF model identified five dominant VOC sources, with highest contributions from diesel vehicular exhausts (34 ± 5 %), followed by gasoline vehicular exhausts (27 ± 3 %), industrial emissions (19 ± 2 %), fuel evaporation (15 ± 2 %) and biogenic emissions (4 ± 1 %). The results from the OBM-MCM model simulation inferred photochemical O3 formation to be VOC-limited at the JAES site when considering both the reactivity and abundance of the individual VOC species in each source category. Further, VOCs from vehicular and industrial emissions were found to be the dominant control on O3 formation, particularly the VOC species m,p-xylene, toluene and propene, which top priorities should be given to the alleviation of photochemical smog. However, when considering the reactivity and abundance of VOC species, the contribution of biogenic emissions to O3 pollution was significantly reduced. Our results therefore highlight the need to consider both the abundance and reactivity of individual VOC species in order to develop effective control strategies to minimize photochemical pollution in Nanjing.

Indoor-outdoor distribution and risk assessment of volatile organic compounds in the atmosphere of industrial and urban areas

2009 ◽  
Vol 25 (4) ◽  
pp. 339-349 ◽  
Author(s):  
Laura Massolo ◽  
Martina Rehwagen ◽  
Andres Porta ◽  
Alicia Ronco ◽  
Olf Herbarth ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Urban Areas ◽  
Volatile Organic

scholarly journals Atmospheric Pollution Interventions in the Environment: Effects on Biotic and Abiotic Factors, Their Monitoring and Control

2020 ◽  
Author(s):  
Nukshab Zeeshan ◽  
Nabila ◽  
Ghulam Murtaza ◽  
Zia Ur Rahman Farooqi ◽  
Khurram Naveed ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Anthropogenic Activities ◽  
Abiotic Factors ◽  
Atmospheric Pollutants ◽  
Control Mechanisms ◽  
Gaseous Emissions ◽  
Monitoring And Control ◽  
Soil Microbial ◽  
Volatile Organic

Atmosphere is polluted for all living, non-living entities. Concentrations of atmospheric pollutants like PM2.5, PM10, CO, CO2, NO, NO2, and volatile organic compounds (VOC) are increasing abruptly due to anthropogenic activities (fossil fuels combustion, industrial activities, and power generation etc.). These pollutants are causing soil (microbial diversity disturbance, soil structure), plants (germination, growth, and biochemistry), and human health (asthma, liver, and lungs disorders to cancers) interventions. All the effects of these pollutants on soil, plants, animals, and microbes needed to be discussed briefly. Different strategies and technologies (HOPES, IOT, TEMPO and TNGAPMS) are used in the world to reduce the pollutant emission at source or when in the atmosphere and also discussed here. All gaseous emissions control mechanisms for major exhaust gases from toxic to less toxic form or environmental friendly form are major concern. Heavy metals present in dust and volatile organic compounds are converted into less toxic forms and their techniques are discussed briefly.

scholarly journals Tracking separate contributions of diesel and gasoline vehicles to roadside PM<sub>2.5</sub> through online monitoring of volatile organic compounds and PM<sub>2.5</sub> organic and elemental carbon: a 6-year study in Hong Kong

2020 ◽  
Vol 20 (16) ◽  
pp. 9871-9882
Author(s):  
Yee Ka Wong ◽  
X. H. Hilda Huang ◽  
Peter K. K. Louie ◽  
Alfred L. C. Yu ◽  
Damgy H. L. Chan ◽  
...  
Keyword(s):  
Hong Kong ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Elemental Carbon ◽  
Online Monitoring ◽  
Monitoring Data ◽  
Effective Control ◽  
Diesel Vehicles ◽  
Gasoline Vehicles ◽  
Volatile Organic

Abstract. Vehicular emissions contribute a significant portion to fine particulate matter (PM2.5) air pollution in urban areas. Knowledge of the relative contribution of gasoline- versus diesel-powered vehicles is highly relevant for policymaking, and yet there is a lack of an effective observation-based method to determine this quantity, especially for its robust tracking over a period of years. In this work, we present an approach to track separate contributions of gasoline and diesel vehicles through the positive matrix factorization (PMF) analysis of online monitoring data measurable by relatively inexpensive analytical instruments. They are PM2.5 organic and elemental carbon (OC and EC), C2–C9 volatile organic compounds (VOCs) (e.g., pentanes, benzene, xylenes, etc.), and nitrogen oxide concentrations. The method was applied to monitoring data spanning more than 6 years between 2011 and 2017 in a roadside environment in Hong Kong. We found that diesel vehicles accounted for ∼70 %–90 % of the vehicular PM2.5 (PMvehicle) over the years and the remainder from gasoline vehicles. The diesel PMvehicle during truck- and bus-dominated periods showed declining trends simultaneous with control efforts targeted at diesel commercial vehicles and franchised buses in the intervening period. The combined PMvehicle from diesel and gasoline vehicles by PMF agrees well with an independent estimate by the EC-tracer method, both confirming PMvehicle contributed significantly to the PM2.5 in this urban environment (∼4–8 µg m−3, representing 30 %–60 % in summer and 10 %–20 % in winter). Our work shows that the long-term monitoring of roadside VOCs and PM2.5 OC and EC is effective for tracking gaseous and PM pollutants from different vehicle categories. This work also demonstrates the value of an evidence-based approach in support of effective control policy formulation.

scholarly journals Gasoline aromatics: a critical determinant of urban secondary organic aerosol formation

2017 ◽  
Vol 17 (17) ◽  
pp. 10743-10752 ◽  
Author(s):  
Jianfei Peng ◽  
Min Hu ◽  
Zhuofei Du ◽  
Yinhui Wang ◽  
Jing Zheng ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Urban Areas ◽  
Secondary Organic Aerosol ◽  
Organic Aerosol ◽  
Urban Atmosphere ◽  
Aerosol Formation ◽  
Vehicle Exhaust ◽  
Aromatic Content ◽  
Volatile Organic

Abstract. Gasoline vehicle exhaust is an important contributor to secondary organic aerosol (SOA) formation in urban atmosphere. Fuel composition has a potentially considerable impact on gasoline SOA production, but the link between fuel components and SOA production is still poorly understood. Here, we present chamber experiments to investigate the impacts of gasoline aromatic content on SOA production through chamber oxidation approach. A significant amplification factor of 3–6 for SOA productions from gasoline exhausts is observed as gasoline aromatic content rose from 29 to 37 %. Considerably higher emission of aromatic volatile organic compounds (VOCs) using high-aromatic fuel plays an essential role in the enhancement of SOA production, while semi-volatile organic compounds (e.g., gas-phase PAHs) may also contribute to the higher SOA production. Our findings indicate that gasoline aromatics significantly influence ambient PM2. 5 concentration in urban areas and emphasize that more stringent regulation of gasoline aromatic content will lead to considerable benefits for urban air quality.

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