Climate change and air pollution are closely interlinked since carbon dioxide and air pollutants are co-emitted from fossil fuel combustion. Net Zero (NZ) policies aiming to reduce carbon emissions will likely bring co-benefits in air quality and associated health. However, it is unknown whether regional NZ policies alone will be sufficient to reduce air pollutant levels to meet the latest 2021 World Health Organisation (WHO) guidelines. Here, we carried out high resolution air quality modelling for in the West Midlands region, a typical metropolitan area in the UK, to quantify the effects of different NZ policies on air quality. Results show that NZ policies will significantly improve air quality in the West Midlands, with up to 6 μg m-3 (21%) reduction in annual mean NO2 (mostly through the electrification of vehicle fleet, EV) and up to 1.4 μg m-3 (12%) reduction in annual mean PM2.5 projected for 2030 relative to levels under a \"business as usual\" (BAU) scenario. Under BAU, 2030 PM2.5 concentrations in most wards would be below 10 μg m-3 whilst under the Net Zero scenario, those in all wards would be below 10 μg m-3. This means that the ward averages in the West Midlands would meet the UK PM2.5 of 10 μg m-3target a decade early under the Net Zero scenario. However, no ward-level-averaged annual mean PM2.concentrations meet the 2021 WHO Air Quality guideline level of 5 μg m-3 under any scenario. Similarly for NO2 only 18 wards (8% of the region\'s population) are predicted to have NO2 concentrations below the 2021 WHO guideline level (10 μg m-3). Decarbonisation policies linked to Net Zero deliver substantial regional air quality benefits, but are not in isolation sufficient to deliver clean air with air pollutant levels low enough to meet the 2021 WHO guidelines.

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The concentration of pollutants and pathogens in the air directly affects human health. When the pollution source remains unchanged, effective ventilation determines air quality. It is therefore critically needed to establish a quantitative determination index for effective ventilation, which can be used for real-time evaluation of air quality in specific areas, so as to guide residents to choose healthy outdoor activity places. In this study, Reynolds average Navier-Stokes (RANS) method was used to establish urban air pollution simulation system by computational fluid dynamics (CFD) technology. The correlations among wind speed, pollutant concentration, and pollutant diffusion efficiency were analyzed. With real-time meteorological data, wind field simulation and air quality evaluation were carried out for different periods of urban square space. The results showed that the critical wind speed value at pedestrian height (1.5 m) for the effective diffusion of pollutants was 1.0 m·s-1, which could be used as an air quality evaluation standard. With reference to this judgment index and the real-time weather system link, the pedestrian height wind speed distribution could be obtained through simulation. Therefore, the spatial variation of air quality could be visually displayed in real time, which help realize fair, efficient and reasonable use of urban space resources. This work could provide guidelines for choosing healthy outdoor venues, and provide technologies and means for public disease prevention and health promotion.
空气中污染物及病菌的浓度直接影响人类健康。在污染源不变的情况下,有效通风决定了空气质量的优劣。因此,建立有效通风的定量判定指标,并利用此指标对特定区域空气质量进行实时评价,引导居民选择健康的室外活动场所成为迫切需要解决的问题。本研究采用雷诺平均Navier-Stokes(RANS)方法建立了基于计算流体力学(CFD)技术的城市空气污染模拟系统,研究了风速、污染物浓度和污染物扩散效率之间的关系。在此基础上,借助实时气象数据,对城市广场空间不同时段进行了风场模拟及空气质量评价。结果表明: 行人高度(1.5 m)空气中污染物有效扩散的临界风速值为1.0 m·s-1,此指标可作为某一具体区域空气质量评价标准。参照此判定指标,链接实时天气系统,通过模拟得到的行人高度风速分布,可实时、可视化地显示该场所空气质量优劣分布,实现公平、效率、合理地利用城市空间资源,为人们选择健康的室外活动场地提供指引,为公众疾病预防和健康促进提供技术和手段。.

Low-cost sensors based on the optical particle counter (OPC) are increasingly being used to collect particulate matter (PM) data at high space and time resolution. In spite of their huge explorative potential, practical guidelines and recommendations for their use are still limited. In this work, we outline a few best practices for the optimal use of PM low-cost sensors based on the results of an intensive field campaign performed in Bologna (44°30\' N, 11°21\' E; Italy) under different weather conditions. Briefly, the performances of a series of sensors were evaluated against a calibrated mainstream OPC with a heated inlet, using a robust approach based on a suite of statistical indexes capable of evaluating both correlations and biases in respect to the reference sensor. Our results show that the sensor performance is sensibly affected by both time resolution and weather with biases maximized at high time resolution and high relative humidity. Optimization of PM data obtained is therefore achievable by lowering time resolution and applying suitable correction factors for hygroscopic growth based on the inherent particle size distribution.

This proceedings report presents the outcomes from an international Expert Meeting to establish a consensus on the recommended technical and operational requirements for air quality within modern assisted reproduction technology (ART) laboratories. Topics considered included design and construction of the facility, as well as its heating, ventilation and air conditioning system; control of particulates, micro-organisms (bacteria, fungi and viruses) and volatile organic compounds (VOCs) within critical areas; safe cleaning practices; operational practices to optimize air quality while minimizing physicochemical risks to gametes and embryos (temperature control versus air flow); and appropriate infection-control practices that minimize exposure to VOC. More than 50 consensus points were established under the general headings of assessing site suitability, basic design criteria for new construction, and laboratory commissioning and ongoing VOC management. These consensus points should be considered as aspirational benchmarks for existing ART laboratories, and as guidelines for the construction of new ART laboratories.

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