This chapter serves as a primer on understanding potential air pollutant health impacts and health risks associated with airport operations.
Each of the pollutants targeted in this report, with the exception of UFPs, can be categorized as either a criteria pollutant or a HAP (also referred to as air toxics) or as both criteria pollutants and HAPs (e.g., lead is regulated as a criteria pollutant, but lead-based compounds are on the EPA’s HAPs list). Each of these pollutants has health effects that range from mild to severe chronic and acute health effects, as well as premature death. Figure 4-1 provides an overview of the population proportions associated with the severity of health effects—in general, the more severe the effect, the smaller the proportion of the population affected. The figure describes different degrees of health effects, and it should be understood that different pollutants will have different health impacts and levels of severity. The following sections describe the potential health effects of each pollutant.
There are six (6) criteria pollutants. Additional information related to the health effects of the criteria pollutants is available on EPA’s Integrated Science Assessments (ISAs) website (at www.epa.gov/isa). A discussion of concerns over the public health impacts of these pollutants follows:
of pure carbon clusters and is differentiated from organic carbon (OC), which is composed of organic compounds. BC is a significant contributor to the health effects caused by PM2.5 and UFPs. Nitrates and sulfates can penetrate deep in the respiratory system and can also react with other chemicals to form harmful compounds (e.g., acids).
While not a criteria pollutant like PM10 and PM2.5, UFPs are of particular concern at airports due to elevated concentrations near aircraft operations. UFPs have more aggressive health complications compared to larger PM sizes. This is for four main reasons (Ali, et al. 2020):
HAPs are generally defined as those pollutants that are known or suspected of being able to cause serious health effects such as cancer, or birth defects. The EPA maintains a list of close to 200 HAPs comprised of VOCs, aldehydes, polycyclic aromatic hydrocarbons (PAHs), dioxins, furans, metals, acids, etc. A discussion of the formation and concerns over these pollutants follows:
and reproductive problems (in both adult men and women), lower IQ, damage to the brain and nervous system, learning and behavioral difficulties, slow growth, hearing problems, and headaches in children. Air exposure to Cr (III), the most common form of chromium in the air, can result in damage to the respiratory system. Exposure to Cr (VI) can result in more serious respiratory damage, as well as lung cancer.
To ensure no misunderstandings regarding these health effects, it should be noted that while the descriptions provide a comprehensive view of the current understanding of health impacts by pollutant type (or category), they do not directly indicate the risks associated with airport air quality impacts. Other details such as emission concentration levels and exposure time need to be taken into account and are discussed in the next section.
As defined by the EPA (see www.epa.gov/risk) health risk is “the chance of harmful effects to human health or to ecological systems resulting from exposure to an environmental stressor” where stressors are described as “any physical, chemical, or biological entity that can induce an adverse effect in humans or ecosystems.” Characterizations of risk are accomplished by conducting both exposure pathway assessments (how the pollutant interacts with the population) and dose-response assessments (how much of the pollutant is required to cause harm to an individual). These are general definitions used to describe risk for environmental impacts.
For air quality, health risk can be described as being influenced by three components: emissions, exposure, and toxicity. As indicated in Figure 4-3, these components encompass details regarding the source, pollutants, and the exposed public. The emissions of each pollutant depend on source characteristics. Source characteristics include emission factors (or rates) that are dependent on type of emissions source, equipment age, emissions control, and other factors. Toxicity is the degree to which a pollutant can harm a human being. Toxicity is characterized differently for criteria air pollutants versus HAPs. For criteria air pollutants, concentration–response relationships are generally constructed from epidemiological literature. These epidemiological studies typically contain concentrations representative of the current range of concentrations in the United States, and the concentration–response functions are applied as continuous functions to quantify incremental health effects of concentration changes. For HAPs, conventional risk assessment differentiates between carcinogenic effects and non-cancer effects, with the presumption that most carcinogens demonstrate low-dose linearity and that most non-cancer health effects display a putative population threshold. There are an increasing number of counterexamples that contradict this model, but most health risk assessments to date maintain this structure. Within the structure, for non-cancer health effects, inhalation RfCs are used. For
carcinogenic effects, unit risk factors are used. The EPA defines these terms as follows (see https://www.epa.gov/risk/conducting-human-health-risk-assessment-tab-3):
Exposure encompasses both the pathway leading to the interaction between pollutants and the exposed population (i.e., concentrations experienced by the population) as well as the duration of the interaction. This is partly dependent on how pollutants disperse in the atmosphere and undergo chemical conversions to form other pollutants. It also is dependent on the size and activities of the local population and their locations.
In general, the health impacts from specific sources can be evaluated from either an individual perspective or a population perspective, and this holds for airport emissions as well. In the former case, the influential factors will be those that cause an individual to have greater risk from airport emissions than other individuals. In the latter case, the influential factors will be those that cause the public health burden from airport emissions to be greater. The factors will overlap but will not be identical.
From an individual perspective, proximity to the airport is clearly the dominant factor, although not necessarily in a simple distance-dependent fashion. Multiple studies indicate that being immediately downwind of a primary departure runway significantly increases exposures to multiple combustion pollutants, including UFPs, NOx, and BC. However, some studies indicate the potential for exposure over a fairly broad geographic area, especially related to arrivals—appreciable impacts can be observed more than 1 km from the airport, in a manner that is not strictly distance-dependent. The common influence of wind direction on aircraft movement patterns and plume dynamics creates challenges in interpreting monitoring data, but location relative to prevailing winds is clearly an important factor for individual risk. When spatiotemporal patterns differ across pollutants, which locations are most important from an individual health perspective are more difficult to ascertain, but evidence shows similar patterns across most pollutants with major public health implications.
From a population perspective, proximity and prevailing winds clearly influence the population health burden from airport emissions as well, but population density and spatial patterns of at-risk populations also must be considered. For example, pollutants such as fine PM (with
significant contributions from secondary formation) may have public health impacts that can span hundreds (or thousands) of kilometers. Thus, even if individual health impacts may be greatest at relatively close proximity to an airport, the public health impacts will be spread over a very large geographic area where the characteristics of the exposed population needs to be taken into account. That is, health impacts will be influenced not only by exposures, but also health status and other factors that make individuals or subpopulations more susceptible to the effects of air pollution. Elderly individuals and young children, as well as those with pre-existing respiratory or cardiovascular disease, are generally considered to be at greatest risk. Thus, population-based health assessments that take into account the exposed area and population characteristics may show differing results from an individual perspective where distance is the major factor.
Two general approaches can be used to estimate the public health burden associated with either an individual source (such as an airport) or a source category (such as LToO emissions). Epidemiological investigations involve developing new associations between exposures and health outcomes for a defined population, which can be interpreted as causal given supporting evidence from other epidemiological and toxicological studies. There have been numerous epidemiological studies evaluating ambient air pollution and its effects on respiratory and cardiovascular health, and the methods for conducting these studies are well established in the literature. However, epidemiological studies rarely associate air pollution specific to aviation with health outcomes. This is both because the contribution from aviation to ambient air pollution is generally small and because the pollutants associated with aviation are similar to those from vehicle traffic and other local combustion sources. There have been a limited number of occupational epidemiological studies of airport workers, which can better capture exposures specific to the airport environment but may not generalize to the public given differences in exposure levels and health status. Airport employees can potentially face some unique exposure concerns. Their exposure to fuel pollutants, such as benzene, toluene, and chlorinated compounds, would be dependent on their work schedule and job location.
Because direct epidemiological studies of air pollution specific to airports are generally impractical, it is far more common to use health risk assessment methods to quantify the health impacts of airport emissions. These methods typically involve bottom-up analyses linking airport emissions inventories with atmospheric fate and transport models, yielding estimates of the marginal contribution of airport emissions to ambient air quality across a region. These contributions are then linked with concentration–response functions for mortality and morbidity, derived from the general air pollution epidemiological literature. In other words, air pollution epidemiology provides the association between specific pollutants and health outcomes, and this evidence is assumed to be applicable to airport-related air pollution. For pollutants that do not differ by source, this approach has fewer uncertainties, beyond exposure assessment uncertainties and general concerns about whether the epidemiological evidence can be interpreted as causal. For fine PM, where the composition from aviation may differ from the ambient composition in a manner that influences health effects, there are additional uncertainties. However, as noted in EPA’s Supplement to the 2019 Integrated Science Assessment for Particulate Matter (U.S. EPA, 2022), “…the evidence does not indicate that any one source or component is more strongly related with health effects than PM2.5 mass.” Therefore, the application of ambient air pollution epidemiology to determine contributions from specific source categories is a well established and appropriate approach in the health risk assessment literature. Constituent-specific epidemiology could be used when available and based on statistical models appropriate for health risk assessment.
Usage of sustainable alterative jet fuels (AJF) is expected to increase significantly in the near term as a key element of airline sustainability plans and goals. Sustainable AJF is made from non-petroleum feedstocks including vegetable oils, lignocellulosic crops, residues and waste, and sugar crops. When compared to petroleum-based jet fuel, AJF reduces aircraft emissions of PM2.5. (Arter 2022).