Health impacts of air pollution in 1027 European urban areas: identification of cities with the highest and lowest preventable mortality burdens.

Abstract Background Air pollution is a major cause of premature death and disease, and is the single largest environmental health risk. Heart disease and stroke are the most common reasons for premature death attributable to air pollution, followed by lung diseases and lung cancer. This report aims at investigation and comparative analysis of air pollution and mortality related indicators in Bulgaria. Methods Descriptive study design with content analysis is applied on data from accessible national and international databases and publications - Bulgarian National Statistical Institute and The European Environment Agency. To evaluate the health burden attributable to air pollution were used the population-weighted concentration and the estimated number of attributable premature deaths, and the Years of life lost (YLL) per 100 000 inhabitants in 2016. The Ambient Air Quality Directive defines the PM2.5 Average Exposure Indicator which reflects population exposure to PM2.5 and shows the average concentration at urban areas, calculated as a 3-year average. Results In 2015, the level of PM2.5 had to be below 20 µg/m3 in any country. In 2017, concentrations were still above that level in three countries - Slovakia 22, Poland and Bulgaria 24. The largest health impacts in terms of premature deaths and YLL, are observed in central and eastern Europe where the highest concentrations are also observed - Kosovo, Serbia, Bulgaria, Albania and North Macedonia. The premature deaths attributable to PM2.5 exposure in Bulgaria are 13 100, to NO2 - 1 100 and to O3 - 280. The YLL attributable to PM2.5, NO2 and O3 exposure are respectively 1858, 151, 42. All these levels are very high in comparison with other European countries. Conclusions Recognition of the full health and economic cost of air pollution and the benefits of pollution reduction should spur increased use of renewable energy, energy efficiency, and clean-fuel vehicles. This is a necessary investment for Bulgaria's future. Key messages Responsibility for, and tools to tackle, many environmental determinants of health lie outside the direct control of individuals or the health sector alone. Wider societal, intersectoral and population-based public health approach is needed.

Download Full-text

Cyclists’ Multiple Environmental Urban Exposures—Comparing Subjective and Objective Measurements

Sustainability ◽

10.3390/su11051412 ◽

2019 ◽

Vol 11 (5) ◽

pp. 1412 ◽

Cited By ~ 5

Author(s):

Maximilian Ueberham ◽

Uwe Schlink ◽

Martin Dijst ◽

Ulrike Weiland

Keyword(s):

Decision Making ◽

Air Pollution ◽

Human Health ◽

Urban Areas ◽

Health Planning ◽

Smartphone Application ◽

Health Impacts ◽

Subjective Perception ◽

Subjective Data ◽

Route Choices

Citizens in urban areas are exposed to multiple environmental stressors like noise, heat, and air pollution, with impact on human health. There is a great deal of evidence that connects human health, objective environmental exposure, and place of residence. However, little is known about subjective and objective multiple personal exposures while being mobile. To address this research gap, this paper presents results from a mixed-methods exploratory study with cyclists in the City of Leipzig, Germany. In the summer of 2017, cyclists (n = 66) wore a unique combination of sensors that measured particle number counts (PNC), noise, humidity, temperature, geolocation, and the subjective perception of each exposure on everyday routes for one week (n = 730). A smartphone application was developed to question participants about their perception of subjective exposure. The data were analyzed with three aims: (i) to compare the multiple exposure profiles of the cyclists, (ii) to contrast the objective data and subjective individual perception, and (iii) to examine the role of route decision-making and awareness of health impacts for healthier route choices. The results indicate distinct differences between the exposure profiles of cyclists. Over 80% of the cyclists underestimated their exposure to noise and air pollution. Except for heat, no significant associations between the objective and subjective data were found. This reveals an exposure awareness gap that needs to be considered in urban health planning and risk communication. It is argued that knowledge about health impacts and route characteristics plays a crucial role in decision-making about route choices. The paper concludes with suggestions to harness smart sensing for exposure mitigation and research in health geography.

Download Full-text

Benefit Analysis of the 1st Spaish Air Pollution Control Program on Health Impacts and Associated Externalities

Atmosphere ◽

10.3390/atmos12010032 ◽

2020 ◽

Vol 12 (1) ◽

pp. 32

Author(s):

Ana R. Gamarra ◽

Yolanda Lechón ◽

Marta G. Vivanco ◽

Juan Luis Garrido ◽

Fernando Martín ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Pollution Control ◽

Urban Areas ◽

Control Program ◽

Health Impacts ◽

Policy Framework ◽

Reference Scenario ◽

Baseline Scenario ◽

Air Pollution Control

This paper aims to provide scientific support for decision-making in the field of improving air quality by evaluating pollution reduction measures included in the current Spanish policy framework of the 1st National Air Pollution Control Program (NAPCP). First, the health impacts of air quality are estimated by using the concentrations estimated by multiscale air quality modeling and the recommended concentration–response functions (CRF), specifically as a result of exposure to particulate matter (PM), nitrogen dioxide (NO2), and ozone (O3). Second, the associated external costs are calculated by monetization techniques. Two scenarios are analyzed: a package including existing measures (WM2030) and a package with additional measures (WAM2030). Compared with the baseline scenario, an improvement was found in the health effects of NO2, PM10, and PM2.5, while for O3 there was a slight worsening, mainly due to the increase in the O3 metric used (SOMO35), which increases over some urban areas. Despite this, the monetary valuation of the total effects on health as a whole shows external benefits due to the adoption of measures (WM2030), compared with the reference scenario (no measures) of more than € 17.5 billion and, when considering the additional measures (WAM2030), benefits of about € 58.1 billion.

Download Full-text

CROSS-SPECTRUM ANALYSIS APPLIED TO AIR POLLUTION TIME SERIES FROM SEVERAL URBAN AREAS OF ROMANIA

Environmental Engineering and Management Journal ◽

10.30638/eemj.2013.083 ◽

2013 ◽

Vol 12 (4) ◽

pp. 677-684 ◽

Cited By ~ 6

Author(s):

Stefania Iordache ◽

Daniel Dunea

Keyword(s):

Air Pollution ◽

Time Series ◽

Spectrum Analysis ◽

Urban Areas ◽

Cross Spectrum

Download Full-text

An Urban Air Pollution Early Warning System Based on PM2.5 Prediction Applied in Ploiesti City

Revista de Chimie ◽

10.37358/rc.17.4.5566 ◽

2017 ◽

Vol 68 (4) ◽

pp. 858-863

Author(s):

Mihaela Oprea ◽

Marius Olteanu ◽

Radu Teodor Ianache

Keyword(s):

Air Pollution ◽

Early Warning ◽

Urban Areas ◽

Early Warning System ◽

Urban Air Pollution ◽

Warning System ◽

Air Pollutant ◽

Pollution Level ◽

Urban Air ◽

Prediction Approach

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.

Download Full-text

Improving the Protection of Children Against Air Pollution Threats in Romania � The RokidAIR Project Approach and Future Perspectives

Revista de Chimie ◽

10.37358/rc.17.4.5563 ◽

2017 ◽

Vol 68 (4) ◽

pp. 841-846

Author(s):

Hai-Ying Liu ◽

Daniel Dunea ◽

Mihaela Oprea ◽

Tom Savu ◽

Stefania Iordache

Keyword(s):

Air Pollution ◽

Air Quality ◽

Health Effects ◽

Urban Areas ◽

Behavioural Change ◽

Health Assessment ◽

Warning System ◽

Personal Exposure ◽

Mobile Technologies ◽

Quality Maps

This paper presents the approach used to develop the information chain required to reach the objectives of the EEA Grants� RokidAIR project in two Romanian cities i.e., Targoviste and Ploiesti. It describes the PM2.5 monitoring infrastructure and architecture to the web-based GIS platform, the early warning system and the decision support system, and finally, the linking of air pollution to health effects in children. In addition, it shows the analysis performance of the designed system to process the collected time series from various data sources using the benzene concentrations monitored in Ploiesti. Moreover, this paper suggests that biomarkers, mobile technologies, and Citizens� Observatories are potential perspectives to improve data coverage by the provision of near-real-time air quality maps, and provide personal exposure and health assessment results, enabling the citizens� engagement and behavioural change. This paper also addresses new fields in nature-based solutions to improve air quality, and studies on air pollution and its mental health effects in the urban areas of Romania.

Download Full-text

Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

Sustainability ◽

10.3390/su13094933 ◽

2021 ◽

Vol 13 (9) ◽

pp. 4933

Author(s):

Saimar Pervez ◽

Ryuta Maruyama ◽

Ayesha Riaz ◽

Satoshi Nakai

Keyword(s):

Land Use ◽

Air Pollution ◽

Regression Model ◽

Urban Areas ◽

Industrial Development ◽

Ambient Air ◽

Ambient Air Pollution ◽

Land Use Classification ◽

Land Use Regression ◽

Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

Download Full-text

Development of a Line Source Dispersion Model for Gaseous Pollutants by Incorporating Wind Shear near the Ground under Stable Atmospheric Conditions

Environmental Sciences Proceedings ◽

10.3390/ecas2020-08154 ◽

2020 ◽

Vol 4 (1) ◽

pp. 17

Author(s):

Saisantosh Vamshi Harsha Madiraju ◽

Ashok Kumar

Keyword(s):

Air Pollution ◽

Urban Areas ◽

Wind Shear ◽

Dispersion Model ◽

Near Field ◽

Ground Level ◽

Gaseous Pollutants ◽

Air Pollution Control ◽

Mobile Sources ◽

Input Variables

Transportation sources are a major contributor to air pollution in urban areas. The role of air quality modeling is vital in the formulation of air pollution control and management strategies. Many models have appeared in the literature to estimate near-field ground level concentrations from mobile sources moving on a highway. However, current models do not account explicitly for the effect of wind shear (magnitude) near the ground while computing the ground level concentrations near highways from mobile sources. This study presents an analytical model based on the solution of the convective-diffusion equation by incorporating the wind shear near the ground for gaseous pollutants. The model input includes emission rate, wind speed, wind direction, turbulence, and terrain features. The dispersion coefficients are based on the near field parameterization. The sensitivity of the model to compute ground level concentrations for different inputs is presented for three different downwind distances. In general, the model shows Type III sensitivity (i.e., the errors in the input will show a corresponding change in the computed ground level concentrations) for most of the input variables. However, the model equations should be re-examined for three input variables (wind velocity at the reference height and two variables related to the vertical spread of the plume) to make sure that that the model is valid for computing ground level concentrations.

Download Full-text

Morpho-Physio-Biochemical Attributes of Roadside Trees as Potential Tools for Biomonitoring of Air Quality and Environmental Health in Urban Areas

Land ◽

10.3390/land10030236 ◽

2021 ◽

Vol 10 (3) ◽

pp. 236

Author(s):

Ha Na You ◽

Myeong Ja Kwak ◽

Sun Mi Je ◽

Jong Kyu Lee ◽

Yea Ji Lim ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Environmental Health ◽

Urban Areas ◽

Biochemical Parameters ◽

Lipid Peroxide ◽

Platanus Occidentalis ◽

Physiological Variables ◽

Sources Of Pollution ◽

Species Specific

Environmental pollution is an important issue in metropolitan areas, and roadside trees are directly affected by various sources of pollution to which they exhibit numerous responses. The aim of the present study was to identify morpho-physio-biochemical attributes of maidenhair tree (Ginkgo biloba L.) and American sycamore (Platanus occidentalis L.) growing under two different air quality conditions (roadside with high air pollution, RH and roadside with low air pollution, RL) and to assess the possibility of using their physiological and biochemical parameters as biomonitoring tools in urban areas. The results showed that the photosynthetic rate, photosynthetic nitrogen-use efficiencies, and photochromic contents were generally low in RH in both G. biloba and P. occidentalis. However, water-use efficiency and leaf temperature showed high values in RH trees. Among biochemical parameters, in G. biloba, the lipid peroxide content was higher in RH than in RL trees, but in P. occidentalis, this content was lower in RH than in RL trees. In both species, physiological activities were low in trees planted in areas with high levels of air pollution, whereas their biochemical and morphological variables showed different responses to air pollution. Thus, we concluded that it is possible to determine species-specific physiological variables affected by regional differences of air pollution in urban areas, and these findings may be helpful for monitoring air quality and environmental health using trees.

Download Full-text