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Abstract Severe air pollution problems have led to a rise in the Chinese public's concern. Risk perception is one of the most important indicators of the public's concern about air pollution. However, there existed few studies exploring the spatial distribution of risk perception. To fill the gap, psychometric paradigm methods was adopted to assess the public's risk perception of air pollution. A nationwide empirical study was conducted from December 2016 to February 2017 and 10,653 completed questionnaires were collected. According to a series of screening strategies, 9744 qualified questionnaires were included as a sample, which covered 31 China provinces (Hong Kong, Macao and Taiwan were not included in this study). We found that 45% of the respondents were dissatisfied with the current air quality, many respondents concerned a lot about air pollution (76%) and worried about the harmful consequences of being exposed to air pollution (86%). There was significant difference in the public's risk perception and attitude toward air pollution among different regions: the respondents in the northeast region, northern coastal region, eastern coastal region and Middle Yellow river region perceived higher air pollution risk and lower satisfaction with air quality than other regions; and the public's trust in the government increased from coastal regions to inland regions. In addition, the hierarchical linear model (HLM) was used to explore the effects of demographic, environmental and economic factors on public risk perception and attitude toward air pollution. Based on this, the characteristics of sensitive populations regarding air pollution were identified. What's more, we found that PM 2.5 has a positive influence on perceived risk factor (PR) and can strengthen the positive correlation between PR and satisfaction with air quality (SAQ). Finally, policy implications behind these results were discussed, which can provide references and lay the foundation for policymakers and subsequent researchers. Graphical abstract Unlabelled Image Highlights • The Chinese public's overall risk perception for air pollution was surveyed. • Spatial distribution of risk perception for air pollution was described. • Hierarchical linear model was used to analyze influencing factors. • Spatial difference should be considered to avoid misassessment of risk perception. [ABSTRACT FROM AUTHOR]

Increasing urban air pollution level in Indian cities is one of the major concerns for policy makers due to its impact on public health. The growth in population and increase in associated motorised road transport demand is one of the major causes of increasing air pollution in most urban areas along with other sources e.g., road dust, construction dust, biomass burning etc. The present study documents the development of an urban local air quality management (ULAQM) framework at urban hotspots (non-attainment area) and a pathway for the flow of information from goal setting to policy making. The ULAQM also includes assessment and management of air pollution episodic conditions at these hotspots, which currently available city/regional-scale air quality management plans do not address. The prediction of extreme pollutant concentrations using a hybrid model differentiates the ULAQM from other existing air quality management plans. The developed ULAQM framework has been applied and validated at one of the busiest traffic intersections in Delhi and Chennai cities. Various scenarios have been tested targeting the effective reductions in elevated levels of NO x and PM 2.5 concentrations. The results indicate that a developed ULAQM framework is capable of providing an evidence-based graded action to reduce ambient pollution levels within the specified standard level at pre-identified locations. The ULAQM framework methodology is generalised and therefore can be applied to other non-attainment areas of the country. [ABSTRACT FROM AUTHOR]

Rapid industrialization in China has brought forward serious and harmful atmospheric pollution. In this study, spatial econometric analysis was used to analyze the spatial change and the driving forces behind the industrial sulfur dioxide (SO 2 ) discharge in China from 2001 to 2014. The study found that the amount of industrial SO 2 discharge (ISOD) increased first and then decreased during this period. ISOD intensity witnessed a fluctuating drop. There were large differences among intercity ISOD amount and intensity, which had various spatial patterns. Global Moran's I of ISOD amount and intensity had a tendency to increase on the whole, showed positive spatial autocorrelation, and revealed a more and more remarkable clustered spatial pattern. Local spatial autocorrelation analysis found that the spatial patterns of ISOD amount and intensity changed considerably over space and time. The spatial patterns of ISOD were significantly influenced by the regional differences in land use and environmental policy. The study also found that the driving forces of ISOD in China changed significantly from 2001 to 2014. [ABSTRACT FROM AUTHOR]

Benzene is known as a human carcinogen, whose annual mean concentration exceeded the EU limit value (5 μg/m 3 ) only in very few locations in Europe during 2012. Nevertheless 10% to 12% of the EU-28 urban population was still exposed to benzene concentrations above the WHO reference level of 1.7 μg/m 3 . WHO recommended a wise choice of monitoring stations positioning in proximity of “hot spots” to define and assess the representativeness of each site paying attention to micro-scale conditions. In this context benzene and other VOCs of health concern (toluene, ethylbenzene, xylenes) concentrations have been investigated, with weekly passive sampling for one year, both in outdoor and indoor air in inhabited buildings in close proximity (180 m far up to 1100 m) of an integrated steel plant in NE of Italy. Even though the outdoor mean annual benzene concentration was below the EU limit in every site, in the site closest to the works the benzene concentration was above 5 μg/m 3 in 14 weeks. These events were related to a benzene over toluene ratio above one, which is diagnostic for the presence of an industrial source, and to meteorological factors. These information pointed at the identification of the coke ovens of the plant as the dominant outdoor source of benzene. Benzene gradients with the increasing distance from coke ovens have been found for both outdoor and indoor air. Linear models linking outdoor to indoor benzene concentrations have been then identified, allowing to estimate indoor exposure from ambient air benzene data. In the considered period, a narrow area of about 250 m appeared impacted at a higher degree than the other sites both considering outdoor and indoor air. Passive BTEX sampling permits to collect information on both ambient air and daily life settings, allowing to assemble a valuable data support for further environmental cost-benefit analyses. [ABSTRACT FROM AUTHOR]

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 (NO x /NO 2 , PM 10 /PM 2.5 , O 3 , SO 2 , NH 3 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 NO 2 and PM 10 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 NO 2 and SO 2 in forest areas; the analysis of O 3 -induced crop damage for grapes, maize, potato, rice, tobacco, tomato, watermelon and wheat; health impacts caused by human exposure to O 3 and PM 2.5 ; and costs on society due to crop losses (O 3 ), disability-related absence of work staff and damage to buildings and public property due to soot-related soiling (PM 2.5 ). 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. [ABSTRACT FROM AUTHOR]

Commuting is considered as one of the high-exposure periods among various daily activities, especially in high vehicle-density metropolitan areas. There is a growing awareness of the need to change our transportation habits by reducing our use of cars and shifting instead to active transport, i.e. walking or cycling. A review was undertaken using the ISI web of knowledge database with the objective to better understand personal exposure during commuting by different modes of transport, and to suggest potential strategies to minimise exposure. The air pollutants studied include particulate matter, PM black carbon, BC and particle number concentration. We focused only in European studies in order to have comparable situation in terms of vehicle fleet and policy regulations applied. Studies on personal exposure to air pollutants during car commuting are more numerous than those dealing with other types of transport, and typically conclude by emphasising that travelling by car involves exposure to relatively high particulate matter, PM exposure concentrations. Thus, compared to other transport methods, travelling by car has been shown to involve exposure both to higher PM and BC as compared with cycling. Widespread dependence on private car transport has produced a significant daily health threat to the urban commuter. However, a forward-looking, integrated transport policy, involving the phased renovation of existing public vehicles and the withdrawal of the more polluting private vehicles, combined with incentives to use public transport and the encouragement of commuter physical exercise, would reduce commuters' exposure. [ABSTRACT FROM AUTHOR]