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Particulates

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Particulates – also known as atmospheric aerosol particles, atmospheric particulate matter, particulate matter (PM) or suspended particulate matter (SPM) – are microscopic particles of solid or liquid matter suspended in the air. The term aerosol commonly refers to the particulate/air mixture, as opposed to the particulate matter alone. Sources of particulate matter can be natural or anthropogenic. They have impacts on climate and precipitation that adversely affect human health, in ways additional to direct inhalation.

A computer graphic showing how many PM10 particles can be wrapped around a human hair and how several PM2.5 particles can be wrapped around PM10
PM2.5 and PM10 compared with a human hair in a graphic from the Environmental Protection Agency

Types of atmospheric particles include suspended particulate matter; thoracic and respirable particles; inhalable coarse particles, designated PM10, which are coarse particles with a diameter of 10 micrometers (μm) or less; fine particles, designated PM2.5, with a diameter of 2.5 μm or less;ultrafine particles, with a diameter of 100 nm or less; and soot.

The IARC and WHO designate airborne particulates as a Group 1 carcinogen. Particulates are the most harmful form (other than ultra-fines) of air pollution due to their ability to penetrate deep into the lungs and brain from the blood streams, causing health problems including heart disease, lung disease, and premature death. In 2013, a study involving 312,944 people in nine European countries revealed that there was no safe level of particulates and that for every increase of 10 μg/m3 in PM10, the lung cancer rate rose 22% (95% CI [1.03–1.45]). The smaller PM2.5, which can penetrate deeper into the lungs, were associated with an 18% increase in lung cancer per 5 μg/m3; however, this study did not show statistical significance for this association (95% CI [0.96–1.46]) Worldwide exposure to PM2.5 contributed to 4.1 million deaths from heart disease and stroke, lung cancer, chronic lung disease, and respiratory infections in 2016. Overall, ambient particulate matter ranks as the sixth leading risk factor for premature death globally.

Atmospheric sources

Particulate emission when using modern electrical power tool during home broadband installation, Tai Po, Hong Kong
Excavator (a type of heavy equipment commonly used at construction sites and roadworks) demolishing the remnants of the pre-war Postal Train Station (Dworzec Pocztowy) at Jerozolimskie Avenue, Poland

Some particulates occur naturally, originating from volcanoes, dust storms, forest and grassland fires, living vegetation and sea spray. Human activities also generate significant amounts of particulates. For example,

  • Glass reprocessing.
  • Agricultural activities (e.g., ploughing and soil tilling).
  • Disasters (both natural or caused by humans, e.g, wildfires, earthquakes, wars, and September 11 attacks, etc).

Anthropogenic aerosols currently account for about 10 percent of the total mass of aerosols in the atmosphere.

Domestic combustion and wood smoke

In the United Kingdom domestic combustion is the largest single source of PM2.5 and PM10 annually, with domestic wood burning in both closed stoves and open fires responsible for 38% of PM2.5 in 2019.

To tackle the problem some new laws were introduced. Starting from May 2021, traditional house coal (bituminous coal) and wet wood, two of the most polluting fuels, can no longer be sold. Wood sold in volumes of less than 2m³ must be certified as 'Ready to Burn', which means it has a moisture content of 20% or less. Manufactured solid fuels must also be certified as 'Ready to Burn' to ensure they meet sulphur and smoke emission limits. Starting from January 2022, all new wood burning stoves have to meet new EcoDesign standards (Ecodesign stoves produce 450 times more toxic air pollution than gas central heating. Older stoves, which are now banned from sale, produce 3,700 times more).

In 2023, the amount of smoke that burners in "smoke control areas" - most England's towns and cities - can emit per hour is reduced from 5g to 3g. Violation will result in an on-the-spot fine of up to £300. Those who do not comply may even get a criminal record.

In some towns and cities in New South Wales wood smoke may be responsible for 60% of fine particle air pollution in the winter.

There are a few ways to reduce wood smoke, e.g, buying the right wood heater and maintaining it well, choosing the right firewood and burning it the right way. There are also regulations in some countries where people can report smoke pollution to the local council.

Composition

Global aerosols portrait produced by a GEOS-5 simulation at a 10-km resolution, August 2006 - April 2007.
Red/orange: desert (mineral) dust
Blue: sea salt
Green: smoke
White: sulfate particles

The composition and toxicity of aerosols, including particles, depends on their source and atmospheric chemistry and varies widely. Wind-blown mineral dust tends to be made of mineral oxides and other material blown from the Earth's crust; this particulate is light-absorbing. Sea salt is considered the second-largest contributor in the global aerosol budget, and consists mainly of sodium chloride originated from sea spray; other constituents of atmospheric sea salt reflect the composition of sea water, and thus include magnesium, sulfate, calcium, potassium, and others. In addition, sea spray aerosols may contain organic compounds like fatty acids and sugars, which influence their chemistry.

Some secondary particles derive from the oxidation of primary gases such as sulfur and nitrogen oxides into sulfuric acid (liquid) and nitric acid (gaseous) or from biogenic emissions. The precursors for these aerosols—i.e. the gases from which they originate—may have an anthropogenic origin (from biomass and fossil fuel combustion) as well as a natural biogenic origin. In the presence of ammonia, secondary aerosols often take the form of ammonium salts; i.e. ammonium sulfate and ammonium nitrate (both can be dry or in aqueous solution); in the absence of ammonia, secondary compounds take an acidic form as sulfuric acid (liquid aerosol droplets) and nitric acid (atmospheric gas), all of which probably contribute to the health effects of particulates.

Secondary sulfate and nitrate aerosols are strong light-scatterers. This is mainly because the presence of sulfate and nitrate causes the aerosols to increase to a size that scatters light effectively.

Organic matter (OM) found in aerosols can be either primary or secondary, the latter part deriving from the oxidation of volatile organic compounds (VOCs); organic material in the atmosphere may either be biogenic or anthropogenic. Organic matter influences the atmospheric radiation field by both scattering and absorption. Some aerosols are predicted to include strongly light-absorbing material and are thought to yield large positive radiative forcing. Some secondary organic aerosols (SOAs) resulting from combustion products of internal combustion engines, have been identified as a danger to health. Particulate toxicity has been found to vary by region and source contribution which affects the particles chemical composition.

The chemical composition of the aerosol directly affects how it interacts with solar radiation. The chemical constituents within the aerosol change the overall refractive index. The refractive index will determine how much light is scattered and absorbed.

The composition of particulate matter that generally causes visual effects, haze, consists of sulfur dioxide, nitrogen oxides, carbon monoxide, mineral dust, and organic matter. The particles are hygroscopic due to the presence of sulfur, and SO2 is converted to sulfate when high humidity and low temperatures are present. This causes reduced visibility and yellow color.

Size distribution

False-color maps are based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite. Green: aerosol plumes dominated by larger particles. Red: aerosol plumes dominated by small particles. Yellow: plumes in which large and small aerosol particles are intermingling. Gray: the sensor did not collect data

Human-produced aerosols such as particle pollution tend to have a smaller radius than aerosol particles of natural origin (such as windblown dust). The false-color maps in the map of distribution of aerosol particles on the right show where there are natural aerosols, human pollution, or a mixture of both, monthly. Among the most obvious patterns that the size distribution time series shows is that in the planet's most southerly latitudes, nearly all the aerosols are large, but in the high northern latitudes, smaller aerosols are very abundant. Most of the Southern Hemisphere is covered by the ocean, where the largest source of aerosols is natural sea salt from dried sea spray. Because the land is concentrated in the Northern Hemisphere, the amount of small aerosols from fires and human activities is greater there than in the Southern Hemisphere. Overland, patches of large-radius aerosols appear over deserts and arid regions, most prominently, the Sahara Desert in North Africa and the Arabian Peninsula, where dust storms are common. Places where human-triggered or natural fire activity is common (land-clearing fires in the Amazon from August–October, for example, or lightning-triggered fires in the forests of northern Canada in Northern Hemisphere summer) are dominated by smaller aerosols. Human-produced (fossil fuel) pollution is largely responsible for the areas of small aerosols over developed areas such as the eastern United States and Europe, especially in their summer.

Satellite measurements of aerosols, called aerosol optical thickness, are based on the fact that the particles change the way the atmosphere reflects and absorbs visible and infrared light. As shown in this page, an optical thickness of less than 0.1 (palest yellow) indicates a crystal clear sky with maximum visibility, whereas a value of 1 (reddish-brown) indicates very hazy conditions.

Deposition processes

In general, the smaller and lighter a particle is, the longer it will stay in the air. Larger particles (greater than 10 micrometers in diameter) tend to settle to the ground by gravity in a matter of hours whereas the smallest particles (less than 1 micrometer) can stay in the atmosphere for weeks and are mostly removed by precipitation. There are also evidence that it is not uncommon for aerosols to "travel across the ocean". For example, in September 2017 wildfires burning across the western United States and Canada, and the smoke was found to have arrived over the United Kingdom and northern France in three days, as shown by satellite images.Diesel particulate matter is highest near the source of emission. Any information regarding DPM and the atmosphere, flora, height, and distance from major sources is useful to determine health effects.

Controlling technologies and measures

Fabric filters Hepa effect: without (outdoor) and with filter (indoor)

A complicated blend of solid and liquid particles result in particulate matter and these particulate matter emissions are highly regulated in most industrialized countries. Due to environmental concerns, most industries are required to operate some kind of dust collection system to control particulate emissions. These systems include inertial collectors (cyclonic separators), fabric filter collectors (baghouses), electrostatic filters used in facemasks,wet scrubbers, and electrostatic precipitators.

Cyclonic separators are useful for removing large, coarse particles and are often employed as a first step or "pre-cleaner" to other more efficient collectors. Well-designed cyclonic separators can be very efficient in removing even fine particulates, and may be operated continuously without requiring frequent shutdowns for maintenance.

Fabric filters or baghouses are the most commonly employed in general industry. They work by forcing dust-laden air through a bag-shaped fabric filter leaving the particulate to collect on the outer surface of the bag and allowing the now clean air to pass through to either be exhausted into the atmosphere or in some cases recirculated into the facility. Common fabrics include polyester and fiberglass and common fabric coatings include PTFE (commonly known as Teflon). The excess dust buildup is then cleaned from the bags and removed from the collector.

Substantial construction dust emitted and rising up from a building under rehabilitation on a Saturday afternoon, Treasure Garden, Tai Po, Hong Kong. The rehabilitation scheme is subsidised by the government and contract like this can worth up to a hundred million. People are living inside the building throughout the whole period of the renovation work, which usually lasts for over a year, and it can be foretold that the residents' exposure to construction dust is even more serious than the occupational exposure of the workers. The possible presence of asbestos and lead paint dust is also worth worrying. This type of rehabilitation works are very common (over 3000 buildings in the first 6 years of the scheme), especially in some older districts. With such a large amount of dust emitted, it was obvious that neither water was being sprayed nor dust extraction device was in use, which was a violation of the local law

Wet scrubbers pass the dirty air through a scrubbing solution (usually a mixture of water and other compounds) allowing the particulate to attach to the liquid molecules. Electrostatic precipitators electrically charge the dirty air as it passes through. The now charged air then passes through large electrostatic plates which attract the charged particle in the airstream collecting them and leaving the now clean air to be exhausted or recirculated.

For general building construction, some places that have acknowledged the possible health risks of construction dust for decades legally require the relevant contractor to adopt effective dust control measures, although inspections, fines and imprisonments are rare in recent years (for example, two prosecutions with a total fines of HKD$6000 in Hong Kong in the year 2021).

Some of the mandatory dust control measures include load, unload, handle, transfer, store or dispose of cement or dry pulverized fuel ash in a completely enclosed system or facility, and fit any vent or exhaust with an effective fabric filter or equivalent air pollution control system or equipment, enclose the scaffolding of the building with dust screens, use impervious sheeting to enclose both material hoist and debris chute, wet debris with water before it is dumped into a debris chute, have water sprayed on the facade surface before and during grinding work, use grinder equipped with vacuum cleaner for facade grinding work, spray water continuously on the surface for any pneumatic or power-driven drilling, cutting, polishing or other mechanical breaking operation that causes dust emission, unless there is the operation of an effective dust extraction and filtering device, provide hoarding of not less than 2.4 m in height along the whole length of the site boundary, have hard paving on open area and wash every vehicle that leaves the construction sites. Use of automatic sprinkler equipment, automatic carwash equipment and installation of video surveillance system for the pollution control facilities and retain the videos for one month for future inspections.

Besides removing particulates from the source of pollution, it may also be cleaned in the open air (e.g. smog tower, moss wall and anti-smog gun), while other control measures employ the use of barriers.

Climate effects

2005 radiative forcings and uncertainties as estimated by the IPCC

Atmospheric aerosols affect the climate of the earth by changing the amount of incoming solar radiation and outgoing terrestrial longwave radiation retained in the earth's system. This occurs through several distinct mechanisms which are split into direct, indirect and semi-direct aerosol effects. The aerosol climate effects are the biggest source of uncertainty in future climate predictions. The Intergovernmental Panel on Climate Change (IPCC), Third Assessment Report, says:

While the radiative forcing due to greenhouse gases may be determined to a reasonably high degree of accuracy... the uncertainties relating to aerosol radiative forcings remain large, and rely to a large extent on the estimates from global modeling studies that are difficult to verify at the present time.

Aerosol radiative

Global aerosol optical thickness. The aerosol scale (yellow to dark reddish-brown) indicates the relative amount of particles that absorb sunlight.
These maps show average monthly aerosol amounts around the world based on observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra satellite.

Direct

Particulates in the air causing shades of orange, yellow, pink, and grey in Mumbai during sunset
Italian city polluted by particulates and optic air detector (laser)

The direct aerosol effect consists of any direct interaction of radiation with atmospheric aerosols, such as absorption or scattering. It affects both short and longwave radiation to produce a net negative radiative forcing. The magnitude of the resultant radiative forcing due to the direct effect of an aerosol is dependent on the albedo of the underlying surface, as this affects the net amount of radiation absorbed or scattered to space. For example, if a highly scattering aerosol is above a surface of low albedo it has a greater radiative forcing than if it was above a surface of high albedo. The converse is true of absorbing aerosol, with the greatest radiative forcing arising from a highly absorbing aerosol over a surface of high albedo. The direct aerosol effect is a first-order effect and is therefore classified as a radiative forcing by the IPCC. The interaction of an aerosol with radiation is quantified by the single-scattering albedo (SSA), the ratio of scattering alone to scattering plus absorption (extinction) of radiation by a particle. The SSA tends to unity if scattering dominates, with relatively little absorption, and decreases as absorption increases, becoming zero for infinite absorption. For example, the sea-salt aerosol has an SSA of 1, as a sea-salt particle only scatters, whereas soot has an SSA of 0.23, showing that it is a major atmospheric aerosol absorber.

Indirect

The Indirect aerosol effect consists of any change to the earth's radiative budget due to the modification of clouds by atmospheric aerosols and consists of several distinct effects. Cloud droplets form onto pre-existing aerosol particles, known as cloud condensation nuclei (CCN). Droplets condensing around human-produced aerosols such as found in particulate pollution tend to be smaller and more numerous than those forming around aerosol particles of natural origin (such as windblown dust).

For any given meteorological conditions, an increase in CCN leads to an increase in the number of cloud droplets. This leads to more scattering of shortwave radiation i.e. an increase in the albedo of the cloud, known as the cloud albedo effect, First indirect effect or Twomey effect. Evidence supporting the cloud albedo effect has been observed from the effects of ship exhaust plumes and biomass burning on cloud albedo compared to ambient clouds. The Cloud albedo aerosol effect is a first order effect and therefore classified as a radiative forcing by the IPCC.

An increase in cloud droplet number due to the introduction of aerosol acts to reduce the cloud droplet size, as the same amount of water is divided into more droplets. This has the effect of suppressing precipitation, increasing the cloud lifetime, known as the cloud lifetime aerosol effect, second indirect effect or Albrecht effect. This has been observed as the suppression of drizzle in ship exhaust plume compared to ambient clouds, and inhibited precipitation in biomass burning plumes. This cloud lifetime effect is classified as a climate feedback (rather than a radiative forcing) by the IPCC due to the interdependence between it and the hydrological cycle. However, it has previously been classified as a negative radiative forcing.

Semi-direct

The Semi-direct effect concerns any radiative effect caused by absorbing atmospheric aerosol such as soot, apart from direct scattering and absorption, which is classified as the direct effect. It encompasses many individual mechanisms, and in general is more poorly defined and understood than the direct and indirect aerosol effects. For instance, if absorbing aerosols are present in a layer aloft in the atmosphere, they can heat surrounding air which inhibits the condensation of water vapour, resulting in less cloud formation. Additionally, heating a layer of the atmosphere relative to the surface results in a more stable atmosphere due to the inhibition of atmospheric convection. This inhibits the convective uplift of moisture, which in turn reduces cloud formation. The heating of the atmosphere aloft also leads to a cooling of the surface, resulting in less evaporation of surface water. The effects described here all lead to a reduction in cloud cover i.e. an increase in planetary albedo. The semi-direct effect classified as a climate feedback) by the IPCC due to the interdependence between it and the hydrological cycle. However, it has previously been classified as a negative radiative forcing.

Specific aerosol roles

Sulfate

Sulfate aerosol has two main effects, direct and indirect. The direct effect, via albedo, is a cooling effect that slows the overall rate of global warming: the IPCC's best estimate of the radiative forcing is −0.4 watts per square meter with a range of −0.2 to −0.8 W/m2. However there are substantial uncertainties. The effect varies strongly geographically, with most cooling believed to be at and downwind of major industrial centers. Modern climate models addressing the attribution of recent climate change take into account sulfate forcing, which appears to account (at least partly) for the slight drop in global temperature in the middle of the 20th century. The indirect effect via the aerosol acting as cloud condensation nuclei (CCN) and thereby modifying the cloud properties (albedo and lifetime) is more uncertain but is believed to be cooling.

Black carbon

Black carbon (BC), or carbon black, or elemental carbon (EC), often called soot, is composed of pure carbon clusters, skeleton balls and fullerenes, and is one of the most important absorbing aerosol species in the atmosphere. It should be distinguished from organic carbon (OC): clustered or aggregated organic molecules on their own or permeating an EC buckyball. Black carbon from fossil fuels is estimated by the IPCC in the Fourth Assessment Report of the IPCC, 4AR, to contribute a global mean radiative forcing of +0.2 W/m2 (was +0.1 W/m2 in the Second Assessment Report of the IPCC, SAR), with a range +0.1 to +0.4 W/m2. A study published in 2013 however, states that "the best estimate for the industrial-era (1750 to 2005) direct radiative forcing of atmospheric black carbon is +0.71 W/m2 with 90% uncertainty bounds of (+0.08, +1.27) W/m2" with "total direct forcing by all-black carbon sources, without subtracting the preindustrial background, is estimated as +0.88 (+0.17, +1.48) W/m2".

Instances

Solar radiation reduction due to volcanic eruptions

Volcanoes are a large natural source of aerosol and have been linked to changes in the earth's climate often with consequences for the human population. Eruptions linked to changes in climate include the 1600 eruption of Huaynaputina which was linked to the Russian famine of 1601–1603, leading to the deaths of two million, and the 1991 eruption of Mount Pinatubo which caused a global cooling of approximately 0.5 °C lasting several years. Research tracking the effect of light-scattering aerosols in the stratosphere during 2000 and 2010 and comparing its pattern to volcanic activity show a close correlation. Simulations of the effect of anthropogenic particles showed little influence at present levels.

Aerosols are also thought to affect weather and climate on a regional scale. The failure of the Indian monsoon has been linked to the suppression of evaporation of water from the Indian Ocean due to the semi-direct effect of anthropogenic aerosol.

Recent studies of the Sahel drought and major increases since 1967 in rainfall in Australia over the Northern Territory, Kimberley, Pilbara and around the Nullarbor Plain have led some scientists to conclude that the aerosol haze over South and East Asia has been steadily shifting tropical rainfall in both hemispheres southward.

Health effects

Air pollution measurement station in Emden, Germany

Size, shape, and solubility matter

Size

The size of the particle is the main determinant of where in the respiratory tract the particle will come to rest when inhaled. Larger particles are generally filtered in the nose and throat via cilia and mucus, but particulate matter smaller than about 10 micrometers can settle in the bronchi and lungs and cause health problems. The 10-micrometer size does not represent a strict boundary between respirable and non-respirable particles but has been agreed upon for monitoring of airborne particulate matter by most regulatory agencies. Because of their small size, particles on the order of 10 micrometers or less (coarse particulate matter, PM10) can penetrate the deepest part of the lungs such as the bronchioles or alveoli. When asthmatics are exposed to these conditions it can trigger bronchoconstriction.

Similarly fine particulate matter (PM2.5), tends to penetrate into the gas exchange regions of the lung (alveoli), and very small particles (ultrafine particulate matter, PM0.1) may pass through the lungs to affect other organs. Penetration of particles is not wholly dependent on their size; shape and chemical composition also play a part. To avoid this complication, simple nomenclature is used to indicate the different degrees of relative penetration of a PM particle into the cardiovascular system. Inhalable particles penetrate no further than the bronchi as they are filtered out by the cilia. Thoracic particles can penetrate right into terminal bronchioles whereas PM0.1, which can penetrate to alveoli, the gas exchange area, and hence the circulatory system are termed respirable particles.

In analogy, the inhalable dust fraction is the fraction of dust entering the nose and mouth which may be deposited anywhere in the respiratory tract. The thoracic fraction is the fraction that enters the thorax and is deposited within the lung's airways. The respirable fraction is what is deposited in the gas exchange regions (alveoli).

The smallest particles, nanoparticles, which are less than 180 nanometers in size, may be even more damaging to the cardiovascular system. Nanoparticles can pass through cell membranes and migrate into other organs, including the brain. Particles emitted from modern diesel engines (commonly referred to as Diesel Particulate Matter, or DPM) are typically in the size range of 100 nanometers (0.1 micrometers). These soot particles also carry carcinogens like benzopyrenes adsorbed on their surface.

Particulate mass is not a proper measure of the health hazard. A particle of 10 μm diameter has approximately the same mass as 1 million particles of 100 nm diameter, but is much less hazardous, as it is unlikely to enter the alveoli. Legislative limits for engine emissions based on mass are therefore not protective. Proposals for new regulations exist in some countries, with suggestions to limit the particle surface area or the particle count (numerical quantity) / particle number concentration (PNC) instead.

Solubility

The site and extent of absorption of inhaled gases and vapors are determined by their solubility in water. Absorption is also dependent upon air flow rates and the partial pressure of the gases in the inspired air. The fate of a specific contaminant is dependent upon the form in which it exists (aerosol or particulate). Inhalation also depends upon the breathing rate of the subject.

Shape

Another complexity not entirely documented is how the shape of PM can affect health, except for the needle-like shape of asbestos fibres which can lodge in the lungs. Geometrically angular shapes have more surface area than rounder shapes, which in turn affects the binding capacity of the particle to other, possibly more dangerous substances. The table below lists the colours and shapes of some common atmospheric particulates:

Type of particulate Color Shape
Portland cement Gray Irregular
Smolder smoke White Spherical
Soot Black Fractal aggregate
Water droplets White Spherical
Loess Yellow Brown Irregular
Lokon volcanic ash Dark Brown Irregular
Sahara sand (Libya) Brown Irregular

Composition, quantity, and duration are important

Worker in a cloud of concrete dust

Composition of particles can vary greatly depending on their sources and how they are produced. For example, dust emitted from the burning of living and dead vegetation would be different from those emitted from the burning of joss paper or construction wastes. Particles emitted from fuel combustion are not the same as those emitted from waste combustion. The particulate matter generated from the fire of a recycling yard or a ship full of scrap metal may contain more toxic substances than other types of burning.

Different types of building refurbishment activities produce different kinds of dust too. The composition of PM generated from cutting or mixing concrete made with Portland Cement would be different from those generated from cutting or mixing concrete made with different types of slag (e.g. GGBFS, EAF slag), fly ash or even EAF dust (EAFD), while EFAD, slag and fly ash are likely to be more toxic as they contain heavy metals. Besides slag cement that is sold as an environmental friendly product, fake (adulterated) cement, where different types of slag, fly ash or other unknown substances are added, is also very common in some places due to the much lower production cost. To address to the quality and toxicity problems, some places are starting to ban the use of EAF slag in cement used in buildings. Composition of welding fumes varies a lot as well and it depends on the metals in the material being welded, the composition of the coatings, electrode, etc, and hence a lot of health problems (e.g., lead poisoning, metal Fume Fever, cancers, nausea, irritation, kidney and liver damage, central nervous system problems, asthma, pneumonia, etc.) can be resulted from the different types of toxic emissions.

Besides composition, quantity and duration of exposure are also important, since they would affect the triggering and severity of a disease. Particles that get into indoor would directly affect indoor air quality. Possible secondary contaminations like what happened in third-hand smoke are also of concern.

In a nutshell, while background concentration is important, only "improvement in air quality" or "decrease in ambient concentration of PM" do not necessarily mean better health. The health impact mainly depends on the toxicity (or source) of the particulate matter a person is exposed to, the amount he is exposed to and for how long, and also the size, shape and solubility of the PM.

Since construction and refurbishment projects are prominent sources of particulate matter, it implicates that such projects, which are very common in some places, should be avoided in health facilities that already commenced and under operation as far as possible. For inevitable projects, better plannings and mitigation measures regarding PM emission should be introduced. Use of power tools, heavy equipments, diesel fuels and potentially toxic building materials (e.g. concrete, solder, paint, etc.) should be strictly monitored to ensure that patients who are there seeking for disease treatments or chances to survive are not adversely affected.

Health problems

Deaths from air pollution compared to other common causes
Air quality information on PM10 displayed in Katowice, Poland

The effects of inhaling particulate matter that have been widely studied in humans and animals include COVID-19,asthma, lung cancer, respiratory diseases like silicosis, cardiovascular disease, premature delivery, birth defects, low birth weight, developmental disorders, neurodegenerative disorders mental disorders, and premature death. Outdoor fine particulates with diameter less than 2.5 microns accounts for 4.2 million annual deaths worldwide, and more than 103 million disability-adjusted life-years lost, making it the fifth leading risk factor for death. Air pollution has also been linked to a range of other psychosocial problems. Particulates may cause tissue damage by entering organs directly, or indirectly by systemic inflammation. Adverse impacts may obtain even at exposure levels lower than published air quality standards deemed safe.

Anthropogenic fine particulates as main hazard

Increased levels of fine particles in the air as a result of anthropogenic particulate air pollution "is consistently and independently related to the most serious effects, including lung cancer and other cardiopulmonary mortality." The association between a large number of deaths and other health problems and particulate pollution was first demonstrated in the early 1970s and has been reproduced many times since. PM pollution is estimated to cause 22,000–52,000 deaths per year in the United States (from 2000) contributed to ~370,000 premature deaths in Europe during 2005. and 3.22 million deaths globally in 2010 per the global burden of disease collaboration. A study by the European Environment Agency estimates that 307,000 people have died prematurely in 2019 due to fine particle pollution in the 27 EU member states.

A study in 2000 conducted in the U.S. explored how fine particulate matter may be more harmful than coarse particulate matter. The study was based on six different cities. They found that deaths and hospital visits that were caused by particulate matter in the air were primarily due to fine particulate matter. Similarly, a 1987 study of American air pollution data found that fine particles and sulfates, as opposed to coarser particles, most consistently and significantly correlated to total annual mortality rates in standard metropolitan statistical areas.

A study published in 2022 in GeoHealth concluded that eliminating energy-related fossil fuel emissions in the United States would prevent 46,900–59,400 premature deaths each year and provide $537–$678 billion in benefits from avoided PM2.5-related illness and death.

Infertility, pregnancy, fetuses and birth effects

Higher rates of infertility have been correlated with exposure to particulates.

In addition, inhalation of PM2.5 – PM10 is associated with elevated risk of adverse pregnancy outcomes, such as low birth weight. Maternal PM2.5 exposure during pregnancy is also associated with high blood pressure in children. Exposure to PM2.5 has been associated with greater reductions in birth weight than exposure to PM10. PM exposure can cause inflammation, oxidative stress, endocrine disruption, and impaired oxygen transport access to the placenta, all of which are mechanisms for heightening the risk of low birth weight. Overall epidemiologic and toxicological evidence suggests that a causal relationship exists between long-term exposures to PM2.5 and developmental outcomes (i.e. low birth weight). However, studies investigating the significance of trimester-specific exposure have proven to be inconclusive, and results of international studies have been inconsistent in drawing associations of prenatal particulate matter exposure and low birth weight. As perinatal outcomes have been associated with lifelong health and exposure to particulate matter is widespread, this issue is of critical public health importance and additional research will be essential to inform public policy on the matter.

Cardiovascular and respiratory disease

A 2002 study indicated that PM2.5 leads to high plaque deposits in arteries, causing vascular inflammation and atherosclerosis – a hardening of the arteries that reduces elasticity, which can lead to heart attacks and other cardiovascular problems. A 2014 meta analysis reported that long term exposure to particulate matter is linked to coronary events. The study included 11 cohorts participating in the European Study of Cohorts for Air Pollution Effects (ESCAPE) with 100,166 participants, followed for an average of 11.5 years. An increase in estimated annual exposure to PM 2.5 of just 5 μg/m3 was linked with a 13% increased risk of heart attacks. In 2017, a study revealed that PM not only affects human cells and tissues, but also impacts bacteria which cause disease in humans. This study concluded that biofilm formation, antibiotic tolerance, and colonisation of both Staphylococcus aureus and Streptococcus pneumoniae was altered by black carbon exposure.

The largest US study on acute health effects of coarse particle pollution between 2.5 and 10 micrometers in diameter was published 2008 and found an association with hospital admissions for cardiovascular diseases but no evidence of an association with the number of hospital admissions for respiratory diseases. After taking into account fine particle levels (PM2.5 and less), the association with coarse particles remained but was no longer statistically significant, which means the effect is due to the subsection of fine particles.

The Mongolian government agency recorded a 45% increase in the rate of respiratory illness in the past five years (reported in September 2014). Bronchial asthma, chronic obstructive pulmonary disease, and interstitial pneumonia were the most common ailments treated by area hospitals. Levels of premature death, chronic bronchitis, and cardiovascular disease are increasing at a rapid rate.

Cognitive hazards

The effects of air pollution and particulate matter on cognitive performance has become an active area of research. A recent longitudinal study in China comparing air pollution and particulate exposure with verbal and mathematics test scores found that accumulative exposure impeded verbal test scores of men and women significantly more than the math scores. The negative impact in verbal reasoning as a result of particulate exposure was more pronounced as people aged and affected men more than women. The level of cognitive decline in verbal reasoning scores was more pronounced in less educated (middle school diploma or lower) subjects. Short term exposure to particulate matter has been linked to short term cognitive decline in otherwise healthy adults.

Air pollution, particulate matter and wood smoke may also cause brain damage and increase the risk of developmental disorders, neurodegenerative disorders mental disorders, and suicide, although studies on the link between depression and some air pollutants are not consistent. At least one study has identified "the abundant presence in the human brain of magnetite nanoparticles that match precisely the high-temperature magnetite nanospheres, formed by combustion and/or friction-derived heating, which are prolific in urban, airborne particulate matter (PM)."

Particulates also appear to have a role in the pathogenesis of Alzheimer's disease and premature brain aging. There is increasing evidence to suggest a correlation between PM2.5 exposure and the prevalence of neurodegenerative diseases such as Alzheimer's.

Several epidemiological studies have suggested a link between PM2.5 exposure and cognitive decline, particularly in the development of neurodegenerative diseases such as Alzheimer's. While the exact mechanisms behind the link between PM2.5 exposure and cognitive decline are not fully understood, research suggests that the fine particles may be able to enter the brain through the olfactory nerve and cause inflammation and oxidative stress, which can damage brain cells and contribute to the development of neurodegenerative diseases.

Increased death

The World Health Organization (WHO) estimated in 2005 that "... fine particulate air pollution (PM(2.5)), causes about 3% of mortality from cardiopulmonary disease, about 5% of mortality from cancer of the trachea, bronchus, and lung, and about 1% of mortality from acute respiratory infections in children under 5 years, worldwide." A 2011 study concluded that traffic exhaust is the single most serious preventable cause of heart attack in the general public, the cause of 7.4% of all attacks.

Particulate matter studies in Bangkok, Thailand from 2008 indicated a 1.9% increased risk of dying from cardiovascular disease, and 1.0% risk of all disease for every 10 micrograms per cubic meter. Levels averaged 65 in 1996, 68 in 2002, and 52 in 2004. Decreasing levels may be attributed to conversions of diesel to natural gas combustion as well as improved regulations.

Racial disparities

There have been many studies linking race to increased proximity to particulate matter, and thus susceptibility to adverse health effects that go in tandem with long term exposure. In a study analyzing the effects of air pollution on racially segregated neighborhoods in the United States, results show that "the proportions of Black residents in a tract was linked to higher asthma rates". Many scholars link this disproportionality to racial housing segregation and their respective inequalities in "toxic exposures". This reality is made worse by the finding that "health care occurs in the context of broader historic and contemporary social and economic inequality and persistent racial and ethnic discrimination in many sectors of American life". Residential proximity to particulate emitting facilities increases exposure to PM 2.5 which is linked to increased morbidity and mortality rates. Multiple studies confirm the burden of PM emissions is higher among non-White and poverty ridden populations, though some say that income does not drive these differences. This correlation between race and housing related health repercussions stems from a longstanding environmental justice problem linked to the practice of historic redlining. An example of these factors contextualized is an area of Southeastern Louisiana, colloquially dubbed 'Cancer Alley' for its high concentration of cancer related deaths due to neighboring chemical plants. Cancer Alley being a majority African American community, with the neighborhood nearest to the plant being 90% Black, perpetuates the scientific narrative that Black populations are located disproportionately closer to areas of high PM output than White populations. A 2020 article relates the long term health effects of living in high PM concentrations to increased risk, spread, and mortality rates from the SARS-CoV-2 or COVID-19, and faults a history of racism for this outcome.

Wildfire smoke risk

There is an increased risk of particulate exposure in regions where wildfires are persistent. Smoke from wildfires may impact sensitive groups such as the elderly, children, pregnant women, and people with lung, and cardiovascular disease. A study found that in the 2008 wildfire season in California, the particulate matter was much more toxic to human lungs, as increased neutrophil infiltrate, cell influx and edema was observed versus particulate matter from ambient air. Furthermore, particulate matter from wildfires have been linked to be a triggering factor of acute coronary events such as ischemic heart disease. Wildfires also have been associated with increased emergency department visits due to particulate matter exposure, as well as an increased risk of asthma related events. Furthermore, a link between PM2.5 from wildfires and increased risk of hospitalizations for cardiopulmonary diseases has been discovered.

Energy industry knowledge and response to adverse health effects

Major energy companies understood at least since the 1960s that use of their products causes widespread adverse health effects and death but continued aggressive political lobbying in the United States and elsewhere against clean air regulation and launched major corporate propaganda campaigns to sow doubt regarding the causative link between the burning of fossil fuels and major risks to human life. Internal company memoranda reveal that energy industry scientists and executives knew that air pollutants created by fossil fuels lodge deep in human lung tissue, and cause birth defects in children of oil industry workers. The industry memos acknowledge that automobiles "are by far the greatest sources of air pollution" and also that air pollution causes adverse health effects and lodges toxins, including carcinogens, "deep into the lungs which would otherwise be removed in the throat."

In response to mounting public concern, the industry eventually created the Global Climate Coalition, an industry lobby group, to derail governments' attempts to regulate air pollution and to create confusion in the public mind about the necessity of such regulation. Similar lobbying and corporate public relations efforts were undertaken by the American Petroleum Institute, a trade association of the oil and gas industry, and the climate change denier private think tank, The Heartland Institute. "The response from fossil-fuel interests has been from the same playbook – first they know, then they scheme, then they deny and then they delay. They've fallen back on delay, subtle forms of propaganda and the undermining of regulation," said Geoffrey Supran, a Harvard University researcher of the history of fossil-fuel companies and climate change. These efforts have been compared, by policy analysts such as Carroll Muffett of the Center for International Environmental Law, to the tobacco industry strategy of lobbying and corporate propaganda campaigns to create doubt regarding the causal connection between cigarette smoking and cancer and to forestall its regulation. In addition, industry-funded advocates, when appointed to senior government positions in the United States, have revised scientific findings showing the deadly effects of air pollution and have rolled back its regulation.

Effects on vegetation

Particulate matter can clog stomatal openings of plants and interfere with photosynthesis functions. In this manner, high particulate matter concentrations in the atmosphere can lead to growth stunting or mortality in some plant species.

Regulation

Due to the highly toxic health effects of particulate matter, most governments have created regulations both for the emissions allowed from certain types of pollution sources (motor vehicles, industrial emissions etc.) and for the ambient concentration of particulates. The IARC and WHO designate particulates a Group 1 carcinogen. Particulates are the deadliest form of air pollution due to their ability to penetrate deep into the lungs and blood streams unfiltered, causing respiratory diseases, heart attacks, and premature death. In 2013, the ESCAPE study involving 312,944 people in nine European countries revealed that there was no safe level of particulates and that for every increase of 10 μg/m3 in PM10, the lung cancer rate rose 22%. For PM2.5 there was a 36% increase in lung cancer per 10 μg/m3. In a 2014 meta-analysis of 18 studies globally including the ESCAPE data, for every increase of 10 μg/m3 in PM2.5, the lung cancer rate rose 9%.

Limits / standards set by governments

Country/ Region PM2.5 (μg/m3) PM10 (μg/m3) No. of exceedences allowed per year
Yearly avg. Daily avg. (24-hour) Yearly avg. Daily avg (24-hour)
Australia 8 25 25 50 None
China 35 75 70 150 None
European Union 25 None 40 50 PM2.5: None; PM10: 35
Hong Kong 35 75 50 100 PM2.5: 9; PM10: 9
Japan 15 35 None 100 None
South Korea 15 35 50 100 None
Taiwan 15 35 50 100 None
United States 12 35 None 150 PM2.5: Not applicable; PM10: 1

Canada

In Canada the standard for particulate matter is set nationally by the federal-provincial Canadian Council of Ministers of the Environment (CCME). Jurisdictions (provinces and territories) may set more stringent standards. The CCME standard for particulate matter 2.5 (PM2.5) as of 2015 is 28 μg/m3 (calculated using the 3-year average of the annual 98th percentile of the daily 24-hr average concentrations) and 10 μg/m3 (3-year average of annual mean). PM2.5 standards will increase in stringency in 2020.

European Union

The European Union has established the European emission standards, which include limits for particulates in the air:

European Air Quality Index Good Fair Moderate Poor Very poor Extremely poor
Particles less than 2.5μm (PM2,5) 0–10 μg/m3 10–20 μg/m3 20–25 μg/m3 25–50 μg/m3 50–75 μg/m3 75–800 μg/m3
Particles less than 10μm (PM10) 0–20 μg/m3 20–40 μg/m3 40–50 μg/m3 50–100 μg/m3 100–150 μg/m3 150–1200 μg/m3

United States

Air quality trends in the United States

The United States Environmental Protection Agency (EPA) has set standards for PM10 and PM2.5 concentrations. (See National Ambient Air Quality Standards.)

California

Air quality trends in the western United States

In October 2008, the Department of Toxic Substances Control (DTSC), within the California Environmental Protection Agency, announced its intent to request information regarding analytical test methods, fate and transport in the environment, and other relevant information from manufacturers of carbon nanotubes. DTSC is exercising its authority under the California Health and Safety Code, Chapter 699, sections 57018-57020. These sections were added as a result of the adoption of Assembly Bill AB 289 (2006). They are intended to make information on the fate and transport, detection and analysis, and other information on chemicals more available. The law places the responsibility to provide this information to the Department on those who manufacture or import the chemicals.

On 22 January 2009, a formal information request letter was sent to manufacturers who produce or import carbon nanotubes in California, or who may export carbon nanotubes into the State. This letter constitutes the first formal implementation of the authorities placed into statute by AB 289 and is directed to manufacturers of carbon nanotubes, both industry, and academia within the State, and to manufacturers outside California who export carbon nanotubes to California. This request for information must be met by the manufacturers within one year. DTSC is waiting for the upcoming 22 January 2010 deadline for responses to the data call-in.

The California Nano Industry Network and DTSC hosted a full-day symposium on 16 November 2009 in Sacramento, California. This symposium provided an opportunity to hear from nanotechnology industry experts and discuss future regulatory considerations in California.

DTSC is expanding the Specific Chemical Information Call-in to members of the nanometal oxides, the latest information can be found on their website.

Colorado

Air quality trends in the southwestern United States

Key points in the Colorado Plan include reducing emission levels and solutions by sector. Agriculture, transportation, green electricity, and renewable energy research are the main concepts and goals in this plan. Political programs such as mandatory vehicle emissions testing and the prohibition of smoking indoors are actions taken by local government to create public awareness and participation in cleaner air. The location of Denver next to the Rocky Mountains and wide expanse of plains makes the metro area of Colorado's capital city a likely place for smog and visible air pollution.

Affected areas

Difference between levels of PM2.5 in the air in 2019 and 2022 among 70 capital cities

According to the Forbes magazine, in order to see the trend in air pollution, the air experts at HouseFresh have mapped 480 cities around the world (cities in Ukraine excluded since the military conflict would have an inevitable impact on air pollution), calculating the average PM2.5 level of the first nine months of 2019 against the first nine months of 2022. Average levels of PM2.5 were measured using aqicn.org’s World Air Quality Index data, and a formula developed by AirNow was used to convert the PM2.5 figure into micrograms per cubic meter of air (µg/m3) values.

Among the 70 capital cities investigated, Baghdad, Iraq is the worst performing one, with PM2.5 levels going up +31.6 µg/m3. Ulan Bator (Ulaanbaatar), the capital city of Mongolia, is performing the best, with PM2.5 levels dropping by -23.4 µg/m3. Previously it was as one of the most polluted capital cities in the world. An air quality improvement plan in 2017 appears to be showing positive results.

Out of the 480 cities, Dammam in Saudi Arabia is performing the worst with PM2.5 levels going up +111.1 µg/m3. The city is a significant center for the Saudi oil industry and home to both the largest airport in the world and the largest port in the Persian Gulf. It is currently the most polluted city surveyed.

In Europe, the worst performing cities are located in Spain. They are Salamanca and Palma, with PM2.5 levels increase by +5.1 µg/m3 and +3.7 µg/m3 respectively. The best performing city is Skopje, the capital city of North Macedonia, with PM2.5 levels dropping by -12.4 µg/m3. It was once the most polluted capital city in Europe and still has a long way to go to achieve clean air.

In the U.S., Salt Lake City, Utah and Miami, Florida are the two cities with the highest PM2.5 level increases (+1.8 µg/m3). Salt Lake City suffers from a weather event known as ‘inversion’. Located in a valley, cooler, polluted air is trapped close to ground level under the warmer air above when inversion occurs. On the other hand, Omaha, Nebraska is performing the best and has a decrease of -1.1 µg/m3 in PM2.5 levels.

The cleanest city in this report is Zürich, Switzerland with PM2.5 levels of just 0.5 µg/m3, placed first in both 2019 and 2022. The second cleanest city is Perth, with 1.7 µg/m3 and PM2.5 levels dropping by -6.2 µg/m3 since 2019. Of the top ten cleanest cities, five are from Australia. They are Hobart, Wollongong, Launceston, Sydney and Perth. Honolulu is the only U.S. city in the top ten list, ranking tenth with levels of 4 µg/m3, with a tiny increase since 2019.

Almost all of the top ten most polluted cities are in the Middle East and Asia. The worst is Dammam in Saudi Arabia with a PM2.5 level of 155 µg/m3. Lahore in Pakistan is the second worst with 98.1 µg/m3. The third is Dubai, home to the world’s tallest building. In the bottom ten are three cities from India, Muzaffarnagar, Delhi and New Delhi. Here is a list of the 30 most polluted cities by PM2.5, Jan to Sep 2022:

City Country / Region 1st 9 months average PM2.5 (µg/m3)
2022 2019
Dammam  Saudi Arabia 155 43.9
Lahore  Pakistan 98.1 64.6
Dubai  United Arab Emirates 97.7 47.5
Baghdad  Iraq 60.5 29
Dhaka  Bangladesh 55.3 48.7
Muzaffarnagar  India 53.9 60.5
Delhi  India 51.6 59.8
Oaxaca  Mexico 51.1 13.5
New Delhi  India 50.1 54.2
Manama  Bahrain 48 43.4
Patna  India 47.9 53.5
Peshawar  Pakistan 47 46.7
Ghāziābād  India 46.6 56.9
Lucknow  India 46.4 54.1
Hawalli  Kuwait 46.2 40.4
Hapur  India 45.7 53.3
Chandigarh  India 44.9 39.7
Jaipur  India 43.5 40.6
Kampala  Uganda 42.9 48.3
Khorramshahr  Iran 42 30
Pokhara    Nepal 41.8 18.2
Abu Dhabi  United Arab Emirates 40.2 44.7
Xi’an  China 36.6 40
Xuchang  China 36.4 41.4
Xinxiang  China 36.3 46.4
Anyang  China 36.1 45.9
Shijiazhuang  China 36 44.9
Taiyuan  China 35.9 39.2
East London  South Africa 35.9 7.1
Gandhinagar                   India                            35.5 42.9

Please note that there are limits to the above survey. For example, not every city in the world is covered, and that the number of monitoring stations for each city would not be the same. So the data is for reference only.

Australia

PM10 pollution in coal mining areas in Australia such as the Latrobe Valley in Victoria and the Hunter Region in New South Wales significantly increased during 2004 to 2014. Although the increase did not significantly add to non-attainment statistics the rate of increase has risen each year during 2010 to 2014.

China

Some cities in Northern China and South Asia have had concentrations above 200 μg/m3. The PM levels in Chinese cities were extreme between 2010 - 2014, reaching an all-time high in Beijing on 12 January 2013, of 993 μg/m3, but has been improving thanks to clean air actions.

To monitor the air quality of south China, the U.S. Consulate Guangzhou set a PM2.5 and PM10 monitor on Shamian Island in Guangzhou and displays readings on its official website and social platforms.

Analysis of the PM2.5 sources of some Chinese cities / regions (click "show" to expand the table)
Location Main Sources of PM2.5 Sampling Time Period Method
Ningbo Urban dust (20.42%), coal dust (14.37%) and vehicle exhaust (15.15%) 15–24 Mar 2010; 31 May–9 June 2010; 10–19 Dec 2010 CMB
Urumchi Urban dust (24.7%), coal dust (15.6%) and secondary particles (38.0%) 19–30 Jan 2013 CMB
Qizhou Dust (21–35%), secondary particles (25–26%) and vehicle exhaust (21–26%) Sep 2013; Feb–Mar 2014; May 2014 CMB
Ningbo Urban dust (19.9%), coal dust (14.4%), secondary sulfate (16.9%), vehicle exhaust (15.2%), secondary nitrate (9.78%) and secondary organic carbon (8.85%) 25–31 Jan 2010; 31 May–6 June 2010; 10–16 Oct 2010 CMB
Tianjin Open source (urban dust, soil dust and construction cement dust, total contribution of 30%),Secondary particles (secondary sulfate/nitrate, secondary carbon, total contribution of 28%), coal dust (19.6%) and vehicle exhaust (15.9%) 13–20 May 2010; 20–27 Oct 2010; 19–26 Dec 2010 CMB
Chongqing Secondary particles (30.1%) and moving source (27.9%) 6–28 Feb 2012; 6–28 Aug 2012; 19–27 Oct 2012; 7–29 Dec 2012 CMB
Beijing Secondary inorganic salts (36%), organic matter (20%), vehicle/fuel (16%), coal burning (15%), soil dust (6%) and others (7%) Aug 2012–July 2013, continuous for 5 to 7 days per month CMB
Xining Urban dust (26.24%), coal dust (14.5%), vehicle exhaust (12.8%), secondary sulphate (9.0%), biomass burning (6.6%), secondary nitrates (5.7%), steel dust (4.7%), construction dust (4.4%), soil dust (4.4%), food and beverage emissions (2.9%) and other unidentified sources (5.2%) 26 Feb–4 Mar 2014; 22–28 Apr 2014; 19–25 Sep 2014 CMB
Xingtai Coal dust (25%), secondary inorganic particles (sulfate and nitrate, 45%), vehicle exhaust (11%), dust (9%), soil dust (3%), construction and metallurgical dust (1%) and other unidentified sources (3%) 24 Feb–15 Mar 2014; 22 Apr–19 May 2014; 15–28 July 2014 CMB
Wuhan Vehicle sources (27.1%), secondary sulphates/nitrates (26.8%), manufacturing emissions (26.4%) and biomass combustion (19.6%) July 2011–Feb 2012 CMB
Chengdu Soil dust and raise dust (14.3%), biomass combustion (28.0%), vehicle sources (24.0%) and secondary nitrates/sulfates (31.3%) 29 Apr–17 May 2009; 6 July–6 Aug 2009; 26 Oct–26 Nov 2009; 1–31 Jan 2010 CMB
Shenzhen Secondary sulphate (30.0%), vehicle sources (26.9%), biomass combustion (9.8%) and secondary nitrates (9.3%) Jan–Dec 2009 CMB
Suburbs of Shanghai Secondary aerosol (50.8%), fuel combustion (17.5%), biomass combustion/sea salt (17.2%), raise dust/construction dust (7.7%), and coal-burning/smelting dust (6.9%) 23 Dec 2012–18 Feb 2014 CMB
North China Coal combustion (29.6%), biomass combustion (19.3%) and vehicle sources (15.9%) 3 Jan–11 Feb 2014 CMB
Lanzhou Steel industry, secondary aerosols, coal combustion, power plants, vehicle emissions, crustal dust, and smelting industry contributed 7.1%, 33.0%, 28.7%, 3.12%, 8.8%, 13.3%, and 6.0%, respectively, in winter, and 6.7%, 14.8%, 3.1%, 3.4%, 25.2%, 11.6% and 35.2% in summer Winter 2012 and summer 2013 PMF
Chongqing Secondary inorganic aerosols (37.5%), coal combustion (22.0%), other industrial pollution (17.5%), soil dust (11.0%), vehicular emission (9.8%) and metallurgical industry (2.2%) 2012–2013 PMF
Yellow River Delta National Nature Reserve (YRDNNR) Secondary sulphate and nitrate (54.3%), biomass burning (15.8%), industry (10.7%), crustal matter (8.3%), vehicles (5.2%) and copper smelting (4.9%) Jan–Nov 2011 PMF
Shanghai Coal burning (30.5%), gasoline engine emission (29.0%), diesel engine emission (17.5%), air-surface exchange (11.9%) and biomass burning (11.1%) Oct 2011–Aug 2012 PMF
Zhengzhou Coal burning (29%), vehicle (26%), dust (21%), secondary aerosols (17%) and biomass burning (4%) Apr 2011–Dec 2013 PMF
Qingshan District, Wuhan Traffic exhaust (28.60%), industry (27.10%), road dust (22%), coal combustion (13.20%) and building dust (9.5%) 15 Nov–28 Dec 2013 PMF
Beijing Industrial dust and human activities (40.3%), biomass combustion and building dust (27.0%), soil and wind induced dust (9.1%), fossil fuel sources (4.9%), electronic waste sources (4.8%) and regional migration sources (4.6%) 16 Jan–28 Feb 2013 FA
Hangdan Secondary aerosol source, transportation, fossil fuel and biomass burning (46.5%), soil and construction dust (19.5%), steel industry (19.5%) and transportation (9%) Jan, Apr, July and Oct 2015 PCA
Hangdan Industry and coal burning (33.3%), secondary aerosol and biomass burning (21.7%), vehicle (12.8%) and road dust (9.1%), Oct 2012–Jan 2013 PCA
Guangzhou Moving sources (37.4%), industrial emissions (32.2%), electricity emissions (12.2%), residential emissions (6.6%) and others (11.6%) Jan–Dec 2013 WRF/Chem+ observation data analysis
Heze Secondary inorganic salt (32.61%), vehicle emissions (22.60%), raise dust (19.64%), coal dust (16.25%) and construction cement dust (9.00%) 13–22 Aug 2015; 21–30 Oct 2015; 14–23 Jan 2016 7–16 Apr 2016 PMF and backward trajectory model
Tianjin Secondary sources (30%), crustal dust (25%), vehicle exhaust (16%), coal combustion (13%), SOC (7.6%) and cement dust (0.40%) Apr 2014–Jan 2015 Chemical mass balance gas constraint-Iteration (CMBGC-Iteration)
Tianjin Secondary sources (28%), crustal dust (20%), coal combustion (18%), vehicle exhaust (17%), SOC (11%) and cement dust (1.3%) Apr 2014–Jan 2015 Ensemble-average of CMB, CMB-Iteration, CMB-GC, PMF, WALSPMF, and NCAPCA
25 Chinese provincial capitals and municipalities Power plants (8.7–12.7%), agriculture NH3 (9.5–12%), windblown dust (6.1–12.5%) and secondary organic aerosol (SOA) (5.4–15.5%) 2013 Community Multiscale Air Quality (CMAQ) model
Xinzhen District, Beijing Coal burning (29.2%), vehicle exhaust and waste incineration (26.2%), construction industry (23.3%), soil (15.4%) and industry with chlorine (5.9%) 19 May 2007–19 July 2013 Particle Induced X-ray Emission(PIXE), XRay Fluorescence (XRF), and PMF
Beijing Coal (28.06%), vehicle (19.73%), dust (17.88%), industry (16.50%), food (3.43%) and plant (3.40%) 2012 Inventory-Chemical Mass Balance (I-CMB)

The above results are summarised from multiple researches. Methods used; CMB: chemical mass balance method; PMF: positive matrix factorization; FA: factor analysis; PCA: principal component analysis; WRF: Weather Research and Forecasting; WALSPMF: Weighted Alternating Least Squares Positive Matrix Factorization; NCAPCA: Non-negative Constrained Absolutely Principle Analysis.

Europe

Concentration of PM10 in Europe, 2005

Italy

Concentration of PM2,5 (European Air Quality Index) during time slot in a city in Italy 2019–2020

South Korea

As of 2017, South Korea has the worst air pollution among the developed nations in the OECD (Organization for Economic Cooperation and Development). According to a study conducted by NASA and NIER, 52% of PM2.5 measured in Olympic Park, Seoul in May and June 2016 came from local emissions. The rest was trans-boundary pollution coming from China‘s Shandong Province (22%), North Korea (9%), Beijing (7%), Shanghai (5%), and a combined 5% from China’s Liaoning Province, Japan and the West Sea. In December 2017, the environmental ministers from South Korea and China signed the China-Korea Environmental Cooperation Plan (2018-22), a five-year plan to jointly solve issues in the air, water, soil and waste. An environmental cooperation centre was also launched in 2018 to aid cooperation.

Thailand

Air quality of Thailand is getting worse in 2023, which is described as a "post-COVID back-to-normal situation". In addition to the capital Bangkok, air quality in Chiang Mai, a popular tourist destination, is also deteriorating. Chiang Mai was listed as the most polluted city in a live ranking by the Swiss air quality company IQAir on 27 March 2023. The ranking includes data from about 100 world cities for which measured PM2.5 data is available.

Ulaanbaatar

Mongolia's capital city Ulaanbaatar has an annual average mean temperature of about 0 °C, making it the world's coldest capital city. About 40% of the population lives in apartments, 80% of which are supplied with central heating systems from three combined heat and power plants. In 2007, the power plants consumed almost 3.4 million tons of coal. The pollution control technology is in poor condition.

The other 60% of the population reside in shantytowns (Ger districts), which have developed due to the country's new market economy and the very cold winter seasons. The poor in these districts cook and heat their wood houses with indoor stoves fueled by wood or coal. The resulting air pollution is characterized by raised sulfur dioxide and nitrogen oxide levels and very high concentrations of airborne particles and particulate matter (PM). Annual seasonal average particulate matter concentrations have been recorded as high as 279 μg/m3 (micrograms per cubic meter). The World Health Organization's recommended annual mean PM10 level is 20 μg/m3, which means that Ulaanbaatar's PM10 annual mean levels are 14 times higher than recommended.

During the winter months, in particular, the air pollution obscures the air, affecting the visibility in the city to such an extent that airplanes on some occasions are prevented from landing at the airport.

In addition to stack emissions, another source unaccounted for in the emission inventory is fly ash from ash ponds, the final disposal place for fly ash that has been collected in settling tanks. Ash ponds are continually eroded by wind during the winter.

United States

From the "State of Air 2022" report compiled by the American Lung Association using data from the U.S. Environmental Protection Agency from 2018-2020, the most polluted cities (by PM2.5) in the United States are listed below.

U.S. counties violating national PM2.5 standards, June 2018
U.S. counties violating national PM10 standards, June 2018

By year-round PM2.5 pollution:

  1. Bakersfield, California
  2. Fresno-Madera-Hanford, California
  3. Visalia, California
  4. San Jose-San Francisco-Oakland, California
  5. Los Angeles-Long Beach, California
  6. Medford-Grants Pass, Oregon
  7. Fairbanks, Alaska
  8. Phoenix-Mesa, Arizona

By short-term PM2.5 pollution:

  1. Fresno-Madera-Hanford, California
  2. Bakersfield, California
  3. Fairbanks, Alaska
  4. San Jose-San Francisco-Oakland, California
  5. Redding-Red Bluff, California
  6. Chico, California
  7. Sacramento-Roseville, California
  8. Los Angeles-Long Beach, California

The report shows that California cities ranked the worst, while the East Coast is cleaner. However, another study has come up with a very different conclusion. According to Forbes, a travel insurance comparison site InsureMyTrip conducted a survey of 50 U.S. cities in 2020 and ranked them by cleanliness with criteria like hand sanitizer demand, cleanliness of restaurants, quantity of recycling collectors, satisfaction of garbage disposal, electric vehicle market share and pollution. On their top ten cleanest cities list, seven are from California, including Long Beach (No. 1), San Diego (No. 2), Sacramento (No. 3), San Jose (No. 6), Oakland (No. 7), Bakersfield (No. 9), and San Francisco (No. 10). The discrepancies maybe due to the differences in the choice of data, differences in calcalation methods, differences in their definitions of "cleanliness" and a large variation of air quality across the same state, etc. This again shows that one need to be very careful when drawing conclusions from the many air quality rankings available on the internet.

See also

Further reading

External links


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