Particulate Matter Standards Research Articles

Study on the Precise Evaluation of Environmental Impacts of Air Pollution in Cold Regions Using the Cost Control Method

Objective: With the acceleration of industrialization, air pollution has become a global environmental issue, particularly in cold regions where the unique climatic and geographical conditions give rise to distinctive types of air pollution and impacts. Considering the economic evaluation of environmental damage is crucial for effective pollution control policies, this study aims to provide a more precise environmental damage assessment method through the Improved Virtual Control Cost Method (IVCCM) to optimize air pollution governance strategies in cold regions. Method: This study utilizes a case study of a major company producing methanol and coal-based natural gas, where the emissions from the boiler exhaust exceeded the prescribed standards for particulate matter, sulfur dioxide, and nitrogen oxides during a specific period. By employing a segmented counting approach that accounts for downtime, precise calculations were conducted for the actual periods of excess emissions. Adjustments were made to the calculation coefficients within the Virtual Control Cost Method to more accurately reflect the ecological damage caused by air pollution. Results: The IVCCM calculations revealed that the total environmental loss caused by the company’s excessive air pollution emissions amounted to USD 1.6844 million, significantly lower than the original calculation method (USD 2.1885 million). Specifically, the environmental losses due to particulate matter, sulfur dioxide, and nitrogen oxides were USD 0.0032 million, USD 0.3600 million, and USD 1.3212 million, respectively. Conclusions: The IVCCM enables a more precise assessment and prediction of ecological environmental damage caused by air pollution in cold regions. Compared to traditional methods, it effectively reduces assessment costs, mitigates disputes arising from unclear parameter values and calculation methods, and facilitates the development of more rational environmental protection policies and measures.

Selected legal instruments for air protection against low emissions in Poland

Abstract A fundamental problem during the heating season is the above-normal concentrations of pollutants, especially particulate matter, which are often exceeded. Currently, the main source of air pollution in Poland is low emissions, which consists of from the inefficient burning of fossil fuels in single-family homes and road transportation. This article discusses the permissible particulate matter standards and identifies the anti-smog resolution as a legal instrument to reduce low emissions. For the purpose of this research, field measurements of particulate matter of various fractions were carried out using the specialist equipment of the University Laboratories for Atmosphere Control of the University of Silesia in Katowice. Field measurements were carried out in early 2023 using the Overhead Mobile Laboratory and the Field Mobile Laboratory in selected districts of Katowice. When conducting the study, attention was paid to the type of development, which determines the specifics of heating and the proximity of roads, which are a source of traffic pollution. Due to the high variability of atmospheric conditions and other components, such as current traffic, the data should be treated as indicative. The results of the study depend primarily on the conditions found and reflect the situation at a particular place and time. The occurrence of low emissions was confirmed by the results of the study, which showed very high concentrations of particulate matter in the southern districts of Katowice, where single-family old buildings predominate and building heating is unsuitable. An impact of automobile traffic on air quality was found.

2024 United States Elections: Air Pollution, Neurodegeneration, Neuropsychiatric, and Neurodevelopmental Disorders. Who Cares?

Air pollution exposures ought to be of significant interest for the United States (US) public as health issues will play a role in the 2024 elections. Citizens are not aware of the harmful brain impact of exposures to ubiquitous anthropogenic combustion emissions and friction-derived nanoparticles, industrial nanoplastics, the growing risk of wildfires, and the smoke plumes of soot. Ample consideration of pediatric and early adulthood hallmarks of Alzheimer's disease, Parkinson's disease, frontotemporal lobar degeneration, and amyotrophic lateral sclerosis and associations with neuropsychiatric and neurodevelopmental disorders in the process of setting, reviewing, and implementing standards for particulate matter (PM)2.5, ultrafine PM, and industrial nanoparticles must be of interest to US citizens.

Air pollution and daily public transportation ridership: The case of Seoul city

This study examines the relationship between air pollution and daily mobility, focusing on daily bus and subway usage in Seoul using panel data with the fixed effects model. This study empirically examines the effect of air pollutant exposure on the daily moving population volume, including daily bus and subway usage in Seoul over 1271 days. The results show that people's sensitivity to particulate matter is complex. The most remarkable aspect of the results is that people are not sensitive to continuous pollutant levels, but to the comprehensive air-quality index (CAI). In addition, people's sensitivity is different depending on the moving distance and the means of transportation. Considering that CAI is defined by adopting the first air quality guidelines proposed by the World Health Organization (WHO) in 2005, these results explain how sensitive people are to the human health risks of particulate matter exposure recommended by the WHO. Our findings can be used as evidence to establish the new particulate matter standards and policies that can be strengthened by reflecting the recently updated WHO's air quality guidelines in 2021.

Tanshinone IIA suppresses burning incense-induced oxidative stress and inflammatory pathways in astrocytes

The burning incense (BI) behavior could be widely observed in Asia families. Incense sticks are often believed to be made from natural herbs and powders, and to have minimal impact on human health; however, there is limited research to support this claim. The current study aimed to identify the components of BI within the particulate matter 2.5 µm (PM2.5) range and explore if BI has bio-toxicity effects on rat astrocytes (CTX-TNA2). The study also examined the protective effects and underlying molecular mechanisms of tanshinone IIA, a primary lipid-soluble compound found in the herb danshen (Salvia miltiorrhiza Bunge), which has been shown to benefit the central nervous system. Results showed that despite the differences in BI components compared to the atmospheric particulate matter (PM) standards, BI still had a bio-toxicity on astrocytes. BI exposure caused early and late apoptosis, reactive oxygen species (ROS) production, MAPKs (JNK, p38, and ERK), and Akt signaling activation, and inflammation-related proteins (cPLA2, COX-2, HO-1, and MMP-9) increases. Our results further exhibit that the tanshinone IIA pre-treatment could significantly avoid the BI-induced apoptosis and inflammatory signals on rat astrocytes. These findings suggest that BI exposure may cause oxidative stress in rat astrocytes and increase inflammation-related proteins and support the potential of tanshinone IIA as a candidate for preventing BI-related adverse health effects.

Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)

Abstract. Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM2.5) during the 2020 western United States wildfire season. Three widely used plume rise schemes (Briggs, 1969; Freitas et al., 2007; Sofiev et al., 2012) are compared within the Community Multiscale Air Quality (CMAQ) modeling framework. The plume heights simulated by these schemes are comparable to the aerosol height observed by the Multi-angle Imaging SpectroRadiometer (MISR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The performance of the simulations with these schemes varies by fire case and weather conditions. On average, simulations with higher plume injection heights predict lower aerosol optical depth (AOD) and surface PM2.5 concentrations near the source region but higher AOD and PM2.5 in downwind regions due to the faster spread of the smoke plume once ejected. The 2-month mean AOD difference caused by different plume rise schemes is approximately 20 %–30 % near the source regions and 5 %–10 % in the downwind regions. Thick smoke blocks sunlight and suppresses photochemical reactions in areas with high AOD. The surface PM2.5 difference reaches 70 % on the West Coast of the USA, and the difference is lower than 15 % in the downwind regions. Moreover, the plume injection height affects pollution exceedance (>35 µg m−3) predictions. Higher plume heights generally produce larger downwind PM2.5 exceedance areas. The PM2.5 exceedance areas predicted by the three schemes largely overlap, suggesting that all schemes perform similarly during large wildfire events when the predicted concentrations are well above the exceedance threshold. At the edges of the smoke plumes, however, there are noticeable differences in the PM2.5 concentration and predicted PM2.5 exceedance region. For the whole period of study, the difference in the total number of exceedance days could be as large as 20 d in northern California and 4 d in the downwind regions. This disagreement among the PM2.5 exceedance forecasts may affect key decision-making regarding early warning of extreme air pollution episodes at local levels during large wildfire events.

Living Lab Experience in Turin: Lifestyles and Exposure to Black Carbon.

State-of-the-art, continuous personal monitoring is a reference point for assessing exposure to air pollution. European air-quality standards for particulate matter (PM) use mass concentration of PM (PM with aerodynamic diameters ≤ 10 μm (PM10) or ≤2.5 μm (PM2.5)) as the metric. It would be desirable to determine whether black carbon (BC) can be used as a better, newer indicator than PM10 and PM2.5. This article discusses the preliminary results of one of the three living laboratories developed in the project “Combination of traditional air quality indicators with an additional traffic proxy: Black Carbon (BC)”. The Living Lab#1 (LL#1) involved 15 users in the city of Turin, Italy. Three portable aethalometers (AE51) were used to detect personal equivalent black carbon (eBC) concentrations in the respiratory area of volunteers at 10-s intervals as they went about their normal daily activities. The Geo-Tracker App and a longitudinal temporal activity diary were used to track users’ movements. The sampling campaign was performed in November for one week. and each user was investigated for 24 h. A total of 8640 eBC measurements were obtained with an average daily personal exposure of 3.1 µg/m3 (±SD 1.3). The change in movement patterns and the variability of microenvironments were decisive determinants of exposure. Preliminary results highlight the potential utility of Living Labs to promote innovative approaches to design an urban-scale air-quality management plan which also includes BC as a new indicator.

A simulation-based assessment of the ability to detect thresholds in chronic risk concentration-response functions in the presence of exposure measurement error.

An important question when setting appropriate air quality standards for fine particulate matter (PM2.5) is whether there exists a “threshold” in the concentration-response (C-R) function, such that PM2.5 levels below this threshold are not expected to produce adverse health effects. We hypothesize that measurement error may affect the recognition of a threshold in long-term cohort epidemiological studies. This study conducts what is, to the best of our knowledge, the first simulation of the effects of measurement error on the statistical models commonly employed in long-term cohort studies. We test the degree to which classical-type measurement error, such as differences between the true population-weighted exposure level to a pollutant and the observed measures of that pollutant, affects the ability to statistically detect a C-R threshold. The results demonstrate that measurement error can obscure the existence of a threshold in a cohort study’s C-R function for health risks from chronic exposures. With increased measurement error the ability to statistically detect a C-R threshold decreases, and both the estimated location of the C-R threshold and the estimated hazard ratio associated with PM2.5 are attenuated. This result has clear implications for determining appropriate air quality standards for pollutants.

Health Benefits in California of Strengthening the Fine Particulate Matter Standards.

The Clean Air Act requires the United States Environmental Protection Agency to review routinely the National Ambient Air Quality Standards, including fine particulate matter (PM2.5). A non-governmental Independent Particulate Matter Review Panel recently concluded that the current PM2.5 standards do not protect public health adequately and recommended revising the daily standard from 35 to 25-30 μg/m3 and the annual standard from 12 to 8-10 μg/m3. To assess the public health implications of adopting the PM2.5 standards proposed by the panel, the health benefits are quantified from their implementation based on both current (observed) and future (simulated) air quality data for California. The findings indicate that strengthening the standards would provide significant public health benefits valued at $42-$149 billion. Additionally, the stronger standards are shown to benefit environmental justice via health savings that are allocated more within environmentally and socioeconomically disadvantaged communities.

Stepping Out Of The Lab: Civic Engagement Across Scientific Societies and the Broader Scientific Community in Recent Years

BACKGROUND AND AIM: Researchers in science, technology, engineering, math, and medicine (STEMM) have historically been disengaged from policy debates in many instances. However, an uptick in engagement of the scientific community in federal policy has been observed in recent years. METHODS: In the last five years, for example, many scientific societies and public interest groups have developed new or expanded programs to help train researchers and facilitate engagement opportunities, including meetings with Congressional staff, public comment writing for the federal docket, and direct engagement with the media on policy issues. Engagement also increased in other metrics, including scientist sign-on letters, participation levels in federal rulemaking, experts donating their time and expertise to provide independent science advice to decisionmakers, and the level of interest in policy conversations at scientific society meetings. RESULTS:Importantly, what was the effect of such engagement? Has there been positive impact of more technical experts engaging in policy process? Will such high levels of engagement be sustained through current and future presidential administrations? This talk will explore the real-world outcomes observed following meaningful engagement of STEMM experts in federal policy, using a few recent case studies. Examples will include instances of broad scientific community opposition to problematic policy proposals at the US Environmental Protection Agency, scientific community contributions to scientific priority setting under the Biden administration, and significant engagement from key experts on the National Ambient Air Quality Standards for particulate matter. CONCLUSIONS:Finally, a forward-looking perspective will be offered, including the potential for sustained heightened engagement levels and upcoming federal policy engagement opportunities for scientific researchers. Discussion of how engagement of STEMM experts can be sustained at the individual and institutional levels will also be raised. KEYWORDS: policy, scientific societies, engagement, activism, science advice, science policy

Real World Vehicle Emission Factors for Black Carbon Derived from Longterm In-Situ Measurements and Inverse Modelling

Black carbon (BC) is one of the most harmful substances within traffic emissions, contributing considerably to urban pollution. Nevertheless, it is not explicitly regulated and the official laboratory derived emission factors are barely consistent with real world emissions. However, realistic emission factors (EFs) are crucial for emission, exposure, and climate modelling. A unique dataset of 10 years (2009–2018) of roadside and background measurements of equivalent black carbon (eBC) concentration made it possible to estimate real world traffic EFs and observe their change over time. The pollutant dispersion was modelled using the Operational Street Pollution Model (OSPM). The EFs for eBC are derived for this specific measurement site in a narrow but densely trafficked street canyon in Leipzig, Germany. The local conditions and fleet composition can be considered as typical for an inner-city traffic scenario in a Western European city. The fleet is composed of 22% diesel and 77% petrol cars in the passenger car segment, with an unknown proportion of direct injection engines. For the mixed fleet the eBC EF was found to be 48 mg km−1 in the long-term average. Accelerated by the introduction of a low emission zone, the EFs decreased over the available time period from around 70 mg km−1 to 30–40 mg km−1. Segregation into light (<3.5 t) and heavy (>3.5 t) vehicles resulted in slightly lower estimates for the light vehicles than for the mixed fleet, and one order of magnitude higher values for the heavy vehicles. The found values are considerably higher than comparable emission standards for particulate matter and even the calculations of the Handbook Emission Factors for Road Transport (HBEFA), which is often used as emission model input.

Synoptic classification of meteorological patterns and their impact on air pollution episodes and new particle formation processes in a south European air basin

A circulation classification technique based on daily sea level pressure fields was applied to classify homogeneous synoptic types in the period 2001–2019 for the Iberian Peninsula (IP). The main synoptic meteorological patterns (SMP) were thus discriminated and then validated by the analysis of meteorological variables and atmospheric stability parameters registered in the Madrid air basin in the year 2015. Then, their utility to characterize atmospheric processes like air pollution episodes or new particle formation in the study area was evaluated. Specific SMP clearly influenced wind circulations and turbulent processes at different spatial scales. At regional scale they contributed to discriminate among pollution episodes giving rise to exceedances of air quality standards for particulate matter, nitrogen dioxide and ozone at monitoring stations. For instance, two of the resulting SMP, characterized by the presence of intense high pressure systems close to the IP and strong atmospheric stability in winter and autumn, produced slightly different urban high-pollution episodes in this region. The highest mean levels of nitrogen dioxide, PM10 and PM2.5 (particles lower than 10 and 2.5 μm, respectively) and of ultrafine particles number concentration registered at different urban traffic, urban background and suburban stations, happened during these specific SMP. Likewise, most new particle formation events took place during two other SMP, which mainly occurred in spring and summer. One of them was characterized by high values of solar irradiance and surface temperature, which favour nucleation processes. The highest mean levels of ozone were also registered at the urban and rural stations during this SMP. The other one represented an unusual meteorological scenario in the IP compared to the others obtained in the study, with high pressures displaced northwest producing relatively high values of surface wind speed. This fact reduced the condensation sink and favoured new particle formation in the midday period. In short, this methodology that considers a large amount of interconnected variables can be very useful for characterizing atmospheric situations that have a strong influence on atmospheric pollution processes in other regions.

Health benefits of achieving fine particulate matter standards in India – A nationwide assessment

BackgroundAmbient fine particulate matter (PM2.5) is one of the leading risk factors in India. The elevated levels of PM2.5 exposure concentration in India are related to higher premature mortality. However, health benefits or avoidable premature mortality by reducing PM2.5 concentration is uncertain. ObjectivesHere we simulated the health benefits by assuming the achievement of 1) National Ambient Air Quality Standards of India (PM2.5 annual average = 40 μg m−3), 2) National Clean Air Programme policy (30% reduction) and 3) World Health Organization standard (10 μg m−3). MethodologyUsing Environmental Benefits Mapping and Analysis Program – Community Edition (BenMAP-CE), the health benefits are estimated at national, state and district levels for various health endpoints viz., all-cause, ischaemic heart disease (IHD), chronic obstructive pulmonary disease (COPD), lung cancer and stroke. PM2.5 data, concentration-response coefficient, population, and baseline incidence rate are specified as input data in BenMAP–CE. ResultsAt the national level, all-cause health benefits in three simulations range from 0.79 to 2.1 million cases during 2019. Similarly, IHD, COPD, lung cancer, and stroke related health benefits are in the range of 0.28–0.68, 0.17–0.39, 0.01–0.03, and 0.14–0.34 million cases, respectively. State-level estimates showed that Uttar Pradesh, Bihar, and West Bengal are having maximum health benefits whereas north-eastern states are found with lowest estimates. Districts such as Allahabad, Lucknow, Muzaffarpur, Patna, and Sultanpur are estimated to have highest health benefits. States and districts with higher PM2.5 concentration and exposed population are found with maximum health benefits. Among the three simulations, achievement of the World Health Organization standard resulted in highest estimates. Further, the limitations and sensitivity of input parameters used in this study are discussed in detail. ConclusionStudy results highlighted the need for state and district-specific air quality management measures to increase PM2.5 related health benefits.

A review of air filter test standards for particulate matter of general ventilation

Air filters play an important role in a heating, ventilation and air-conditioning (HVAC) system to maintain good indoor air quality of a building. The air filter test standards act as a guideline to evaluate the air filter performance. The current global test standard, ISO 16890:2016 adopts particulate matter classification which can be easily understood. The European standard, EN 779:2012 is obsolete and replaced by ISO 16890:2016 in June 2018. ASHRAE 52.2:2017 which adopts the minimum efficiency reporting value (MERV) classification is still widely used in the United States. Some countries in Southeast Asia such as Malaysia, Brunei and Singapore are applying different standards: EN779, ASHRAE 52.2 and ISO 16890. A standardization of the air filter testing and classification is undoubtedly important in the global air filtration market. This paper can act as a reference and assist these developing countries in adopting the suitable air filter testing standard to develop their national standard. As all three standards have no specifications on energy efficiency classification, the energy rating system can be obtained using Eurovent 4/21-2018. The HVAC-system-supplied air quality can be further improved with the consideration of WHO annual mean pollutant limits and EN 16798-3 air classification to determine the supply air cleanliness. Practical application: Although EN 779 is replaced by ISO 16890, some developing countries are still in the transition period. Manufacturers and consumers apply different standards which are EN 779, ASHRAE 52.2 and ISO 16890; therefore, a global filter testing standardization is important. This paper can act as a reference and assist the countries in other regions especially in Southeast Asia to develop respective national standard. Besides, some recommendations are given to improve the air filtration and ventilation system by referring to the WHO guidelines for the air pollutant limits, EN 16798-3 for the supply air quality and Eurovent 4/21 for the air filter energy rating.

Does Environmental Policy Affect Income Inequality? Evidence from the Clean Air Act

This paper quantifies the impact of environmental policy on income inequality. We focus on the Clean Air act and the National Ambient Air Quality standards for fine particulate matter and ozone. Using a matched difference-in-differences estimator, we find evidence that both standards increased inequality in market income and a measure of income that deducts per-capita air pollution damage from adjusted gross income. While pollution standards can reduce pollution levels and thus result in significant environmental benefits in aggregate, our findings suggest that these standards appear to distort the distribution of economic resources in complex, and at times unfortunate, ways.

EPA scrubs science panels on air pollution

The acting chief of EPA has scrapped two panels of outside scientists that reviewed national air quality standards for particulate matter and for ground-level ozone. Both substances cause lung problems, and particulate matter has also been linked to heart attacks. The two panels, which consisted of experts on the specific pollutants, for decades reported to the agency’s congressionally created Clean Air Scientific Advisory Committee (CASAC). Now, CASAC will review the air quality standards on its own, Acting Administrator Andrew Wheeler announced earlier this month. Wheeler and his predecessor, Scott Pruitt, who resigned in July, significantly changed the makeup of the seven-member CASAC. In the past, CASAC was heavy with academics who study air pollution and its effects. It now consists of a single academic researcher, regulators from three conservative states, a U.S. Army Corps of Engineers scientist, and a business consultant who chairs the board. Wheeler is continuing a policy

Examining Joint Effects of Air Pollution Exposure and Social Determinants of Health in Defining "At-Risk" Populations Under the Clean Air Act: Susceptibility of Pregnant Women to Hypertensive Disorders of Pregnancy.

Pregnant women are uniquely susceptible to adverse effects of air pollution exposure due to vulnerabilities and health consequences during pregnancy (e.g., hypertensive disorders of pregnancy [HDP]) compared to the general population. Because the Clean Air Act (CAA) creates a duty to protect at-risk groups, the regulatory assessment of at-risk populations has both policy and scientific foundations. Previously, pregnant women have not been specially protected in establishing the margin of safety for the ozone and particulate matter (PM) standards. Due to physiological changes, pregnant women can be at greater risk of adverse effects of air pollution and should be considered an at-risk population. Women with preexisting conditions, women experiencing poverty, and groups that suffer systematic discrimination may be particularly susceptible to cardiac effects of air pollutants during pregnancy. We rigorously reviewed 11 studies of over 1.3 million pregnant women in the United States to characterize the relationship between ozone or PM exposure and HDP. Findings were generally mixed, with a few studies reporting a joint association between ozone or PM and social determinants or pre-existing chronic health conditions related to HDP. Adequate evidence associates exposure to PM with an adverse effect of HDP among pregnant women not evident among non-gravid populations.

A new methodology to derive settleable particulate matter guidelines to assist policy-makers on reducing public nuisance

Air quality standards for settleable particulate matter (SPM) are found in many countries around the world. As well known, annoyance caused by SPM can be considered a community problem even if only a small proportion of the population is bothered at rather infrequent occasions. Many authors have shown that SPM cause soiling in residential and urban environments and degradation of materials (eg, objects and surface painting) that can impair the use and enjoyment of property and alter the normal activities of society. In this context, this paper has as main contribution to propose a guidance to establish air quality standards for annoyance caused by SPM in metropolitan industrial areas. To attain this objective, a new methodology is proposed which is based on the nonlinear correlation between the perceived annoyance (qualitative variable) and particles deposition rate (quantitative variable). Since the response variable is binary (annoyed and not annoyed), the logistic regression model is used to estimate the probability of people being annoyed at different levels of particles deposition rate and to compute the odds ratio function which gives, under a specific level of particles deposition rate, the estimated expected value of the population perceived annoyance. The proposed methodology is verified in a data set measured in the metropolitan area of Great Vitória, Espirito Santo, Brazil. As a general conclusion, the estimated probability function of perceived annoyance as a function of SPM has shown that 17% of inhabitants report annoyance to very low particles deposition levels of 5 g/(m2∙30 days). In addition, for an increasing of 1 g/(m2∙30 days) of SPM, the smallest estimated odds ratio of perceived annoyance by a factor of 1.5, implying that the probability of occurrence is almost 2 times as large as the probability of no occurrence of annoyance.

Estimating the Causal Effect of Low Levels of Fine Particulate Matter on Hospitalization.

In 2012, the EPA enacted more stringent National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM2.5). Few studies have characterized the health effects of air pollution levels lower than the most recent NAAQS for long-term exposure to PM2.5 (now 12 μg/m). We constructed a cohort of 32,119 Medicare beneficiaries residing in 5138 US ZIP codes who were interviewed as part of the Medicare Current Beneficiary Survey (MCBS) between 2002 and 2010 and had 1 year of follow-up. We considered four outcomes: all-cause hospitalizations, hospitalizations for circulatory diseases and respiratory diseases, and death. We found that increasing exposure to PM2.5 from levels lower than 12 μg/m to levels higher than 12 μg/m is associated with increases in all-cause admission rates of 7% (95% CI = 3%, 10%) and in circulatory admission hazard rates of 6% (95% CI = 2%, 9%). When we restricted analysis to enrollees with exposure always lower than 12 μg/m, we found that increasing exposure from levels lower than 8 μg/m to levels higher than 8 μg/m increased all-cause admission hazard rates by 15% (95% CI = 8%, 23%), circulatory by 18% (95% CI = 10%, 27%), and respiratory by 21% (95% CI = 9%, 34%). In a nationally representative sample of Medicare enrollees, changes in exposure to PM2.5, even at levels consistently below standards, are associated with increases in hospital admissions for all causes and cardiovascular and respiratory diseases. The robustness of our results to inclusion of many additional individual level potential confounders adds validity to studies of air pollution that rely entirely on administrative data.

Regulation of fine particulate matter (PM2.5) in the Pacific Rim: perspectives from the APRU Global Health Program

While the development of evidence-based air quality standards for airborne particulate matter (PM) for Europe and North America is well-documented, the standard-setting processes in other regions are less well characterized. Many Pacific Rim economies suffer from severe and worsening air pollution. Particulate matter less than 2.5 μm in aerodynamic diameter (PM2.5) is associated with acute and chronic health effects and is a widely used air quality indicator. This paper reports on PM regulation in selected Pacific Rim economies, focusing on PM2.5, and provides recommendations on air quality regulation to economies without current standards Through workshops held by the Association of Pacific Rim Universities (APRU) Global Health Program, experts in air pollution from eight universities in eight Pacific Rim economies characterized current PM2.5 standards and monitoring in their economies, and then collaboratively created recommendations. A great diversity of air pollution exposures exists in the Pacific Rim. While some economies experience low levels of exposure, others have PM levels that are among the highest in the world. The health effects of air pollution are a concern everywhere, but few economies carry out in-depth, local impact assessments and comprehensive air quality monitoring to provide evidence for guidelines and standards. The development of regulations and policies addressing PM2.5 pollution is urgently needed in many Pacific Rim economies. The international literature provides a robust guide to local risks and should be used, in combination with country-specific population-directed air monitoring, to guide decisions on policies addressing this important global health problem.