Vehicular Pollution Research Articles

A Hazardous Duty: Occupational Health Challenges for Traffic Police at Koshi Province

Abstract Background: Traffic police officers are integral to maintaining urban traffic flow and safety, yet their occupational roles expose them to a variety of health hazards. This study investigates the spectrum of occupational health hazards faced by traffic police officers in Koshi Province. Methods: A cross-sectional study was conducted involving 175 traffic police officers in Koshi Province. Data were collected through structured questionnaires, physical examinations, and environmental assessments. The study evaluated the prevalence of various health issues and their association with identified occupational hazards. Results: Findings reveal high prevalence rates of respiratory ailments (35%), musculoskeletal disorders (28%), stress and anxiety (40%), hearing impairments (15%), and exposure to vehicular pollutants. Environmental assessments indicated significant levels of noise, particulate matter, and exhaust fumes in traffic hotspots. Statistical analysis identified prolonged exposure duration as significant predictors of adverse health outcomes. Conclusion: Traffic police officers in Koshi Province are susceptible to multiple occupational health hazards, necessitating comprehensive intervention strategies include enhancing protective measures, implementing regular health screenings, and establishing mental health support systems. Keywords: Occupational health hazard, traffic police, Koshi Province

Assessing urban air pollution dynamics: the impact of traffic emissions and urban morphology in Lecce and Bari, Italy

Urban air pollution, exacerbated by vehicular emissions, poses a significant health threat, especially in densely populated areas. This study, part of the PNRR Italian National Center for Sustainable Mobility (MOST), aims to assess the impact of vehicular pollutants in urban environments. Focusing on Lecce and Bari (Italy), the research integrates data from dispersion models and meteorological analyses to evaluate pollutant concentrations. Preliminary analysis of eight urban areas in Lecce and six in Bari reveals trends in PM10 concentrations influenced by urban morphology and wind dynamics. These findings underscore the essential role of sustainable mobility strategies in mitigating urban air pollution and promoting healthier urban environments.

Environmental Health Assessment by Local Environmental Justice Experts for Evidence-based Decision-making in an Agricultural Community of Northern California.

Environmental justice research driven by academics and policymakers often overlooks the valuable insights and leadership of the communities most impacted by environmental hazards. When institution-led research approaches are employed, inadequate community ownership and limited institutional accountability hinder the effectiveness of environmental public health interventions. In contrast, a community-owned and -managed approach to environmental justice research can guide community members in developing evidence-based interventions. This paper outlines a community-led environmental health assessment survey (sample= 100) and resulting community actions over six years (2017 to 2023) in a Northern California farmworker community with a perceived high prevalence of cancer and exposure to environmental hazards in households, neighborhoods, and job sites. Local resident experts in Knights Landing, CA, documented community risk factors and exposures in collaboration with interdisciplinary undergraduate and graduate student-researchers. The survey instrument focused on environmental hazards identified by local resident experts including vehicular and agricultural pollution, occupational pesticide contact, and sun exposure. Survey findings highlighted the need for targeted interventions to reduce environmental health risks, such as academic outreach programs, county investments in public services, and community-led mutual aid initiatives. Despite academic reservations about our non-random sampling method and data collection by local resident experts, our project sparked substantial actions and investments with minimal personnel and financial resources. Local leaders working with student-researchers developed more effective environmental public health interventions through a community-owned and -managed approach that went beyond the efforts of local regulatory and research institutions.

An Evaluation of the Vehicular Pollution Law in India

An Evaluation of the Vehicular Pollution Law in India

Concentrations and Oxidative Potential of PM2.5 and Black Carbon Inhalation Doses at US–Mexico Port of Entry

Located between Mexico and the US, the San Ysidro/El Chaparral Land Port of Entry (SYPOE) is one of the busiest border crossings in the world. People with activities at the SYPOE are exposed to vehicular pollutants, especially particles with aerodynamic diameters < 2.5 µm (PM2.5) and black carbon (BC), both associated with adverse health effects. This study presents the first PM2.5 and BC concentration measurements collected on the Mexican side of the SYPOE. The oxidative potential (OP) for PM2.5 and the inhalation dose of BC for people at the border were also evaluated. Autumn and winter showed the highest PM2.5 concentrations (at 28.7 μg m−3 and 28.2 μg m−3, respectively). BC concentration peaked in the winter of 2017 (at 5.7 ± 6 μgm−3), demonstrating an increase during periods with low wind speeds. The highest OPDTT of PM2.5 was reached in winter, with a value of 18.5 pmol min−1 µg−1 (0.6 nmol min−1m−3). The highest average daily inhalation dose for pedestrians was registered in the autumn of 2018 (5.9 μg for a 60-min waiting time), whereas, for workers, it was in the winter of 2017 (19 μg for a 10-h shift on average). Decreasing waiting times for pedestrians and adjusting work schedules for border workers on high concentration days could ameliorate environmental justice.

Assessing the Influence of Vehicular Traffic-Associated Atmospheric Pollutants on Pulmonary Function Using Spirometry and Impulse Oscillometry in Healthy Participants: Insights from Bogotá, 2020–2021

Air pollution, particularly from particulate matter (PM2.5) and black carbon (eBC), has been implicated in airway pathologies. This study aims to assess the relationship between exposure to these pollutants and respiratory function in various populations, including healthy individuals, while seeking an accurate assessment method. A cross-sectional study was conducted in Bogotá, evaluating respiratory function in the users of bicycles, minivans, and buses through spirometry and impulse oscillometry. Measurements were taken along two main avenues, assessing the PM2.5 and eBC concentrations. The results reveal higher pollutant levels on AVE KR 9, correlating with changes in oscillometry values post-travel. Cyclists exhibited differing pre- and post-travel values compared to bus and minivan users, suggesting aerobic exercise mitigates pollutant impacts. However, no statistically significant spirometry or impulse oscillometry variations were observed among routes or modes. Public transport and minivan users showed greater PM2.5 and eBC exposure, yet no significant changes associated with environmental contaminants were found in respiratory function values. These findings underscore the importance of further research on pollutant effects and respiratory health in urban environments, particularly concerning different transport modes.

An Assessment of the Contribution of Vehicular Traffic to Ambient Air Quality - A Case Study of Nairobi Expressway Corridor

Abstract In this study, the vehicular air pollution from the Nairobi Expressway corridor was estimated by simulation using AERMOD dispersion model. The Vehicle Kilometer Travelled (VKT), emission factors, and traffic data were used to estimate the pollutants from vehicular traffic.. The highest modelled 24-hour and annual concentrations of PM2.5 were 0.274 µg/m3 and 0.152 µg/m3, whereas the highest 24-hour and annual concentrations of PM10 were 0.405 µg/m3 and 0.225 µg/m3, respectively. The maximum 24-hour and annual concentrations of Total Volatile Organic Compounds (TVOCs) were 20.8 µg/m3 and 11.5 µg/m3, respectively, whereas the maximum 8-hour and annual concentrations of carbon monoxide (CO) were 319 µg/m3 and 177 µg/m3, respectively. The highest modeled 24-hour and annual concentrations of NO2 were 28.2 µg/m3 and 15.7 µg/m3, respectively. The 24-hour average measured TVOCs values showed that Nairobi expressway traffic contributed 3.5 percent to the measured TVOCs concentration value, but CO accounted for 55 percent of the measured value. According to the simulated PM2.5 and PM10 concentration values, Nairobi expressway traffic contributed 1.1 and 1.6 percent, respectively, to the 24-hour average measured concentration levels.

Perception and Practices Regarding Stubble Burning in Rural Community of Haryana.

Agricultural emissions pose significant health risks, especially in countries like India with abundant agricultural waste. This study focuses on understanding stubble burning perceptions and practices in rural National Capital Region to inform targeted interventions for sustainable farming practices and improved public health. This community-based cross-sectional study was conducted among the randomly selected households of rural Ballabgarh, Haryana. A pre-tested, semi-structured questionnaire was used to obtain information on perception and practices on stubble burning. Data were collected in Epicollect 5 and analyzed in STATA 14. Of the 2000 households approached, 1813 responded with a response rate of 90.7%. Around 53% of the study participants believed that vehicular pollution is the main reason for air pollution, and 90% of them were unaware of the Government schemes related to stop stubble burning and with respect to the practices of stubble disposal. Around 70% of the participants mentioned that respiratory illness is the most severe effect of air pollution. The public was mostly unaware of the government's efforts to reduce stubble burning. Health promotion initiatives must be carried out to raise community knowledge about the programs available to combat stubble burning, therefore decreasing air pollution and its health implications.

Dimensions of Pollen Deformities as Bio-Indicator of Vehicular Pollution

Dimensions of Pollen Deformities as Bio-Indicator of Vehicular Pollution

Comparative assessment of a novel 8/18 multi-teeth with conventional 8/10 in-wheel SRM for an E-Scooter

Electric scooters are increasingly gaining popularity in India owing to rising global crude oil prices and rising levels of vehicular pollution. Most of them are currently powered by expensive in-wheel (IW) permanent magnet (PM) brushless DC motors. Owing to their simplicity, and ruggedness while being cost-effective (since they do not employ PMs), switched reluctance motors (SRMs) are a viable alternative. Despite these benefits, SRMs possess drawbacks such as low torque density and inferior efficiency. Recently, a multi-teeth (MT) SRM with an improved performance was reported. However, the design of MTSRM topologies and their electromagnetic performance have not been explored sufficiently. In this paper, a design formula governing the selection of the number of MT and rotor poles for MTSRMs has been proposed. Using this, a novel four-phase 8/18 IW-MTSRM is derived and proposed for an E-scooter. The characteristics of the proposed SRM are numerically compared with a conventional 8/10 SRM based on magnetic characteristics, efficiencies and steady-state operation for the complete torque-speed range. Results indicate that the proposed 8/18 MTSRM has a higher peak torque capacity, torque density, superior drive cycle efficiency and reduced torque ripple. Further, the FEA model is validated experimentally on a downsized 8/18 MTSRM prototype.

Assessing the urbanization-induced impact on environmental parameters of a city from a remote-sensing perspective

An unplanned urban sprawl is a significant challenge for cities in developing nations. Such growth damages the environmental fabric (quality) of the city. The environmental parameters that are mainly affected due to urbanization need to be monitored for sustainable urban development. Hence, it becomes essential to adopt a sustainable framework for a thorough critical examination of environmental parameters that are altered due to urbanization as its consequence. Thus, this paper analyses the spatial-temporal changes that occurred in three vital environmental parameters: Land Surface Temperature (LST), Vegetation Cover (VC), and Particulate Matter (PM2.5), due to unplanned urbanization in the Bhopal city of Madhya Pradesh state in India. The study evaluates the relationship among these parameters. Then, an Environmental Quality Index (EQI) is quantified from 2000 to 2020 to analyse the environmental quality of the city. Further, a trend analysis for these parameters and the EQI is done. Based on the results of EQI, the city's environmental quality is classified. The findings show that in various parts of the city, LST and PM2.5 were found to be increased by 1–2 °C and 23–25 μg/m3, respectively. The severity analysis of the EQI revealed that environmental quality was found to be good to moderate in 2005 whereas, it deteriorated to poor and very poor levels by the year 2020. Overall results show that severe environmental degradation was significant in some specific locations in dense urbanization, heavy traffic areas, industrial zones, and major highways. The research reveals the environmental consequences of unplanned urbanization, offering valuable insights for policymakers and urban designers to improve the quality of urbanization and advance sustainable development. It also suggests strategies and policy interventions for managing industrial and vehicular pollutants and advocates the vital role of urban greening, which can aid in raising the quality of the urban environment.

Characterization and Quantification of Vehicular Emissions in Abuja Municipality-Implications for Public Health.

Air pollution from vehicular emission and other sources accounts for over seven million global deaths annually and contributes significantly to environmental degradation, including climate change. Vehicular emission is not prioritized for control in Nigeria, thus undermining public health and the Sustainable Development Goals 3, 11 and 13. This study aims to characterize vehicular emissions in Abuja municipality and quantify exhaust air pollutants of commonly used vehicles. Cross-sectional exhaust emissions study of vehicles in Abuja Municipal Area Council. Information on the type and age, fuel type, purchase and use category of 543 vehicles on routine Annual Road Worthiness Test at the Computerized Test Center, Abuja. Exhaust levels of CO, CO2 HCHO and PM10 were measured using hand-held devices. IBM SPSS version 26.0.0.0 (2019) statistical software. Toyota brand comprised 52.5% of the vehicles. Over 80% were older than 10 years; 85.5% preowned and 87.3% used for private purposes. PMS was the dominant fuel used (91.1%). Except PM10, older vehicles emitted higher levels of the measured pollutants than newer ones. The differences were significant for CO and HCHO. Diesel-fueled and commercial vehicles also emitted higher levels of CO, HCHO and PM10 compared to PMS-fueled and private vehicles respectively. Strong regulatory policies that discourage over-aged vehicles; speedy adoption of the ECOWAS guidelines on cleaner fuels and emission limits; and coordinated implementation of effective Inspection & Monitoring programme by relevant government agencies are required to safeguard public health and the environment. We also recommend the introduction of vehicles powered by alternative energy, use of bicycles, designation of one-way traffic and pedestrian zones. Reducing the threats to the public's health from vehicular air pollution in Abuja municipality requires strong policy and coordinated monitoring programs for effective control.

Road Traffic Pollution, Motor Driving Occupation and Human Reproductive Health- An Overview

Generally, automobile vehicles discharge specific contaminants into the surrounding environment during operation, which might affect human and reproductive health. Additionally, a more extended period of sitting while driving is linked with the manifestation of heat in the pelvic region, which might also impact the driver’s semen quality. The data on motor traffic pollution, sitting posture duration while driving, and their impact on reproduction was collected by searching various websites. The data on the effects of traffic-related contamination on motorway tollgate workers indicated an alteration in semen quality parameters to some extent compared to control, i.e., nonexposed to traffic-connected pollution. Still, the data on other male reproductive endpoints are scanty. Some data on the impact of traffic-related air pollution (TRAP) on pregnancy outcomes are accessible based on the studies mostly carried out in women residing close to the main road, which suggests the adverse impact of TRAP on pregnancy outcomes. The comprehensive data on drivers with reverence to professional driving i.e., long duration of sitting while driving and reproductive health, is scanty and needs more studies. The available information suggests that vehicular pollution might affect the semen quality and pregnancy outcome to some extent. At the same time, the impact on the other reproductive endpoints of both sexes is inconsistent, and additional data is needed to conclude these aspects of human reproduction. Further, there is a need to adopt better efficient fuel engines to reduce TRAPs or use alternate technology or fuel to petrol/diesel.

On the Use of Biofuels for Cleaner Cities: Assessing Vehicular Pollution through Digital Twins and Machine Learning Algorithms

The air pollution caused by greenhouse gas emissions, particularly carbon dioxide (CO2), is a significant environmental concern that impacts air quality and contributes to global warming. The transportation sector plays a pivotal role in this issue, being a major contributor to CO2 emissions. In light of this situation, this article proposes a methodology that utilizes a supervised learning algorithm to estimate CO2 emissions and compare vehicles fueled with ethanol and gasoline. Additionally, the solution adopts an online, unsupervised machine learning algorithm to identify data outliers and improve the confidence in the results. Furthermore, this work incorporates the concept of digital twins, using virtual models of vehicles to carry out more extensive pollution simulations and allowing the simulation of various types of vehicles and the modeling of realistic traffic scenarios. A supervised machine learning approach was adopted to infer emission data in the model, allowing more comprehensive and meaningful comparisons between real-world and simulated measurements. The performed analyses of pollution emissions for different speeds and sections of routes demonstrate that CO2 emissions from ethanol were significantly lower than those from gasoline, favoring more sustainable fuels even in combustion engine vehicles. Adopting cleaner fuels is perceived as crucial to mitigate the negative effects of climate change, with plant-based fuels like ethanol being crucial during the transition from fossil fuels to a more sustainable vehicular landscape.

Vehicular pollution as the primary source of oxidative potential of PM2.5 in Bhubaneswar, a non-attainment city in eastern India.

We assessed the oxidative potential (OP) of PM2.5 (n = 230) using dithiothreitol (DTT) assay to identify the major emission sources in Bhubaneswar (20.20°N, 85.80°E), one of the non-attainment cities under the National Clean Air Program, situated on the eastern coast of India. Continuous day and night PM2.5 samples were collected during periods influenced by marine airmass (MAM; April-May 2019) as well as continental airmass (CAM; October 2019-December 2019). Volume normalized DTT (DDTv) activities were approximately two times higher during CAM compared to MAM periods. In contrast, mass normalized DTT activity (DDTm) showed insignificant variations between CAM and MAM periods. This might be due to particulate organic matter, which accounted for more than one-fifth of the PM2.5 mass loading and remained surprisingly invariant during the study periods. Positive matrix factorization (PMF) identified secondary aerosols (MAM: 26% and CAM: 33%) as dominant contributors to PM2.5 mass in both periods. OP, is, however, dominated by vehicular emissions (21%) as identified through multiple linear regression. Conditional Bivariate Probability Function (CBPF) analysis indicated that local sources were the primary drivers for the catalytic activity of PM2.5 in the study region. Additionally, stagnant meteorological conditions, combined with the chemical aging of species during regional transport of pollutants, likely enhanced redox activity of PM2.5 during the CAM period. The study highlights that increasing traffic congestion is primarily responsible for adverse health outcomes in the region. Therefore, it is important to regulate mobility and vehicular movement to mitigate the hazardous impact of PM2.5 in Bhubaneswar.

Level of Awareness of Transport Externalities on Noise Pollution in Akure, Nigeria.

Transport conveys substantial socioeconomic benefits. It is a vital sector that facilitates progressive developments in economy of a nation. Advantages derived from transportation sector are vital in the integration of various regions and sectors of the economy of nations. Despite this advantage, one of the negative externalities it exhibits is noise pollution ‘an unwanted and undesirable sound’. Excessive noise in an environment is identified to constitute the most disturbing among the city pollutants and this is a serious urban crisis in Akure. This study ascertains the level of awareness of the users of transport services on the impact of transportation on the environment in Akure South LGA. and determines the effects of Noise pollution on the residents in the study area. Noise level measurement was done using a PCE-322A sound level meter and direct interview was conducted with residents and other road users. Noise data were collected at different time intervals to find out the variation of sound levels. Based on the findings, respondents reported that the most disturbing period of the day was evening (peak period) between 3 pm and 5.00 pm. The findings revealed that the level of awareness of negative effects of noise pollution is significantly low. The study recommended that pubic needs to be sensitized on the negative externalities of vehicular noise pollution and the need to curtail it.

Predicting opinion using deep learning: From burning to sustainable management of organic waste in Indian State of Punjab.

In winter season, the burning of crop residues for ease of sowing the next crop, along with industrial emissions and vehicular pollution leads to settling of a thick layer of smog in northern part of India. Therefore, to understand the opinion of farmers regarding sustainable management of organic waste, the present study was conducted in Ludhiana district of Indian state of Punjab. An ex post facto research design was used and a total of 800 dairy farmers having significant crop area were selected randomly for the study, grouped equally as small and large dairy farmers. Results revealed that majority of farmers had a highly favourable opinion regarding organic waste management due to the fact that they were aware of the ill-effects of undesirable practices like crop residue burning. Further, to predict the farmers' opinion and the effect of independent variables on farmers' opinion, a multi-layer perceptron feed-forward deep neural network was developed with mean squared error of 0.036 and 0.137 for validation and training data sets respectively, marking a novel approach of analysing farmers' behaviour. The neural network highlighted that with increase in the magnitude of input variables, namely, education, experience in dairying, information source utilisation, knowledge regarding organic waste management, etc., the farmers' opinion regarding sustainable waste management increases. The study concluded with the impression that cognitive processes like education, information and knowledge play a significant role in forming the opinion of the farmers. Therefore, efforts focusing on enhancing cognition should be made for sustainable management of organic waste.

Influence of obstacles on urban canyon ventilation and air pollutant concentration: An experimental assessment

Air pollution in cities, intensified by vehicular traffic emissions and reduced ventilation, poses a significant health risk. Obstacles, like solid or vegetation barriers, are being considered as strategies to reduce pollution exposure for pedestrians and nearby residents in street canyons. This study utilises wind tunnel experiments, to simulate a typical urban canyon with street intersections on both sides, in a 1:200 scale and an H/W=0.5, positioned perpendicular to the free stream wind flow. A passive scalar representing a vehicular pollutant is released along the length of the street canyon. Concentration measurements inside the canyon are performed to determine the effect of parked cars, boundary walls, hedges and trees on pollutant concentration exposure for pedestrians on the sidewalk. Results show that one circulating vortex is generated within the canyon, driving the pollutant to accumulate along the leeward (upwind) wall. Tightly parked cars, boundary walls and hedges, placed along the sidewalk near the leeward wall, can reduce pedestrian pollutant exposure by 15 %, 23 % and 11 % respectively along this sidewalk. Attributes such as obstacle height, surface roughness and porosity play a key role in their performance. However, trees, when placed in the same area, increase pedestrian pollutant exposure by 51 % and 17 % under dense and sparse tree arrangements, respectively. While a broader analysis that considers the variability of vegetation attributes (e.g., porosity, stand density) is desirable, this study remains crucial for validating numerical simulations and suggesting optimal urban measures to reduce pollution exposure for citizens.

Evaluation of benefits due to adoption of enablers of unimodal road to intermodal railroad freight transportation

The adverse environmental consequences arising from road-based logistics operations have prompted stakeholders, including transport service providers, logistics managers, and shippers, to initiate a modal shift from unimodal road to intermodal railroad (IRR) freight transportation. However, the adoption pace of IRR in developing nations is slow. Modal shift enablers (MSEs) facilitate IRR adoption, while modal shift benefits (MSBs) signify favorable performance outcomes from MSEs' application. The main objective of this study is to rank the MSBs resulting from the adoption of MSEs in IRR freight transportation. This study proposes an integrated multi-criteria decision-making framework utilizing the spherical fuzzy analytic hierarchy process (SF-AHP) to evaluate MSEs' weights and the spherical fuzzy technique for order of preference by similarity to ideal solution (SF-TOPSIS) to rank the MSBs. The case study performed in the Indian logistics sector reveals that ‘government policies and legislation enablers’, ‘infrastructural enablers’ and ‘strategic and management enablers’ are the most significant MSEs, whereas reduction in vehicular pollution and related negative externalities as well as reduction of the freight transport costs including storage and handling charges are most crucial MSBs realized due to adoption of MSEs. A sensitivity analysis is conducted to assess the stability of the ranking. The results help decision-makers in implementing MSEs for MSBs and develop effective IRR adoption strategies. This study also promotes sustainable freight transportation and provides logistics practitioners, researchers, and policymakers with a precise, systematic, and practical decision-support tool.

Spatial variation of air pollutants by using GIS modelling

<p>Air pollution in Tamil Nadu has become a pressing issue, as various pollutants have surpassed the limits established by the pollution control board. The major air pollutants in the region, namely sulphur dioxide, nitrogen dioxide, and suspended particulate matter, have been identified. This study aims to monitor and analyse the levels of air pollution in Tamil Nadu, with a specific focus on key parameters such as SO2, NO2, PM2.5, PM10, and ozone. By examining the atmospheric levels of these pollutants and their correlation with temperature fluctuations, the impact on human health and respiratory problems can be evaluated. Moreover, the study will assess the contribution of traffic emissions and vehicular pollution to the concentration of PM10 in different areas. Additionally, GIS technology will be utilized to spatially and temporally investigate pollution concentrations and evaluate their effect on the air quality index. By comparing the pollution concentration from thermal power stations and vehicular pollution, the study will identify the sources of pollutants, with a particular emphasis on SO2 and NOx emissions from vehicles and higher levels of suspended particulate matter from thermal stations. The analysis of these pollutants and their sources will provide valuable insights for the implementation of effective pollution control measures and the management of environmental pollution in Tamil Nadu. Given the concerns regarding pollutants exceeding the prescribed limits set by the pollution control board, monitoring air pollution in Tamil Nadu is of utmost importance.</p>