New Atlas zooms in on Europe’s city-specific air pollutants, sources and measures to take

Improving Air Quality in European Cities: A Report on the Urban PM2.5 Atlas

For most of the analysed cities, tackling emitters locally – such as residential heating or road transport in cities – can effectively improve air quality, according to the Atlas. At the same time, acting at country or EU level on agriculture emissions would also be very effective.

Identifying the sources of emissions in 150 European cities, the 2023 edition of the Urban  PM2.5 Atlas provides more accurate information compared to its predecessors, by relying on an updated dataset and methodology. The findings support competent authorities at city, regional, country and the EU level in designing measures to reduce air pollution, tailored to their specific circumstances.

The Atlas is published ahead of the EU Clean Air Forum, taking place on 23-24 November in Rotterdam, The Netherlands.

Particulate Matter (PM) refers to tiny particles in the air with a diameter of less than 2.5 micrometers. These particles include both primary particles like dust, smoke, soot, pollen, and soil, as well as secondary particles formed directly in the atmosphere. Due to their small size, these pollutants can penetrate the lung barrier and enter the bloodstream, resulting in severe health effects and even premature death.

While clean air legislation has led to improvements, certain regions and cities still struggle with pollution levels that exceed the World Health Organization (WHO) air quality guidelines and the EU air quality standards. Although only 2% of the monitoring stations exceeded the EU PM2.5 annual limit value (25 μg/m3) in 2021 (EEA, 2023), about 95% of them exceeded the WHO 2021 guideline (annual average of 5 μg/m3). According to current estimates, PM2.5 is responsible for around 238,000 premature deaths annually in 2020 in EU-27 (EEA, 2022).

This Atlas focuses on PM2.5 and provides 150 fiches on pollution sources affecting both the inner and greater city areas. It helps determine where and how to address these remaining air pollution problems as per the objectives of the EU’s Zero Pollution Action Plan.

Emissions by sector

Emissions from the residential sector, including combustion in domestic heating appliances, account for an average of 30% of total air pollutants in the cities studied. Polish cities such as Warszawa, Krakow, Wroclaw, Łódź, and Bialystok have the highest contributions from the residential sector, ranging from 59% to 64%. On the other hand, Lemesos, La Valletta, Lisboa, Braunschweig and the Ruhr area record the lowest impact from this sector.

Road transport, accounting for 15% of total air pollutant across all 150 cities, sees important emissions coming from Augsburg, Stockholm and Kobenhavn with 27%, Zürich (26%) and Malmö (25%). Lemesos, Lisboa, Lefkosia, Taranto and Catania contribute less.

Although agricultural activities primarily occur outside cities, this sector is associated with a large fraction of the PM2.5 concentrations (secondary pollution) in many EU cities, especially in Western Europe (Germany, Benelux and the north of France) where the percentage of contributions in cities like Kiel, Hannover, Heidelberg, Dresden and Bremen hovers around 27%.

The largest contributions from industry, accounting for approximately 18%, are found in the Ruhr area (54%), Braunschweig (49%), Linz (36%), Lisboa (34%) and Antwerpen (33%). Emissions from this sector are lower in Palermo, Roma, La Valletta, Napoli and Verona.

The shipping sector also plays a role in PM2.5 pollution, with peak contributions in cities like Hamburg, La Valletta, Palme de Mallorca, Malaga, and Rotterdam. Emissions from shipping range from 19% to 28% in these cities.

How to tackle air pollution?

The main findings and policy recommendations arising from the study are:

• Target sectors and extent of action for reducing air pollution should be specific to each city. The impact of abatement measures varies from city to city, even within the same country: therefore, it is crucial to consider city-specific actions when designing air quality plans.
• Local actions at city level are often effective in improving PM2.5 air quality. From this point of view, measures that address residential heating (which contributes to more than 25% of PM2.5 concentrations in about half of the cities studied) can have a significant impact on reducing pollution levels.
• Sectoral measures addressing agriculture at country or EU scale can greatly benefit urban air quality. In this context, fulfilling the ammonia national emission reduction commitments under the National Emissions reduction Commitments (NEC) Directive will bring tangible benefits to several EU cities.

Background

The Atlas relies on data from SHERPA (Screening for High Emission Reduction Potential on Air), an open-access assessment tool developed by the JRC that can test a wide set of scenarios for any European city.

Leveraging an updated version of SHERPA, the Atlas provides more accurate information than ever before on how transport, agriculture, industry, residential heating and the shipping sector contribute to PM2.5 pollution.

This information empowers authorities in cities, regions, countries, and at EU level to develop tailored measures to combat air pollution effectively

SDGs, Targets, and Indicators

1. Which SDGs are addressed or connected to the issues highlighted in the article?

• SDG 3: Good Health and Well-being
• SDG 11: Sustainable Cities and Communities
• SDG 13: Climate Action
• SDG 15: Life on Land

The article discusses the issue of air pollution in European cities, which directly relates to SDG 3 (Good Health and Well-being) as air pollution can have severe health effects. It also connects to SDG 11 (Sustainable Cities and Communities) as it highlights the importance of designing measures to reduce air pollution at city, regional, country, and EU levels. Additionally, the article mentions the impact of agriculture emissions on air quality, which is relevant to SDG 13 (Climate Action) and SDG 15 (Life on Land) as it addresses the need to reduce emissions from this sector and protect the environment.

2. What specific targets under those SDGs can be identified based on the article’s content?

• Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination.
• Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management.
• Target 13.2: Integrate climate change measures into national policies, strategies, and planning.
• Target 15.1: By 2020, ensure the conservation, restoration, and sustainable use of terrestrial and inland freshwater ecosystems and their services, in particular forests, wetlands, mountains, and drylands, in line with obligations under international agreements.

Based on the article’s content, the targets mentioned above are relevant to address the issues of air pollution and its impact on health, cities, climate, and ecosystems.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

• Indicator 3.9.1: Mortality rate attributed to household and ambient air pollution.
• Indicator 11.6.2: Annual mean levels of fine particulate matter (e.g., PM2.5 and PM10) in cities (population-weighted).
• Indicator 13.2.1: Number of countries that have communicated the establishment or operationalization of an integrated policy/strategy/plan which increases their ability to adapt to the adverse impacts of climate change and foster climate resilience and low greenhouse gas emissions development in a manner that does not threaten food production (including a national adaptation plan, nationally determined contribution, national communication, biennial update report, or other).
• Indicator 15.1.1: Forest area as a proportion of total land area.

These indicators can be used to measure progress towards the identified targets by tracking mortality rates related to air pollution, monitoring levels of fine particulate matter in cities, assessing the implementation of integrated climate change policies/strategies/plans, and measuring the proportion of forest area in relation to total land area.

Table: SDGs, Targets, and Indicators

Behold! This splendid article springs forth from the wellspring of knowledge, shaped by a wondrous proprietary AI technology that delved into a vast ocean of data, illuminating the path towards the Sustainable Development Goals. Remember that all rights are reserved by SDG Investors LLC, empowering us to champion progress together.

Source: joint-research-centre.ec.europa.eu

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