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Air pollution is a worldwide public health threat that can cause or exacerbate many illnesses, including respiratory disease, cardiovascular disease, and some cancers. However, epidemiological studies and public health decision-making are…

With the rapid development of economy in China over the past decade, air pollution has become an increasingly serious problem in major cities and caused grave public health concerns in China. Recently, a number of studies have dealt with…

Computer Vision and Pattern Recognition · Computer Science 2015-08-21 Yuncheng Li , Jifei Huang , Jiebo Luo

The level of air quality in urban centres is affected by emission of several pollutants, mainly coming from the vehicles flowing in their road networks. This is a well known phenomenon that influences the quality of life of people. Despite…

Fluid Dynamics · Physics 2011-02-02 P. Ferrante , D. Lo Bosco , S. Nicolosi , G. Scaccianoce , M. Traverso , G. Rizzo

The ability to forecast the concentration of air pollutants in an urban region is crucial for decision-makers wishing to reduce the impact of pollution on public health through active measures (e.g. temporary traffic closures). In this…

Atmospheric and Oceanic Physics · Physics 2021-07-08 Dario Marvin , Lorenzo Nespoli , Davide Strepparava , Vasco Medici

The Commission of the European Union, as well the United States Environmental Protection Agency, have set limit values for some pollutants in the ambient air that have been shown to have adverse effects on human and environmental health. It…

Applications · Statistics 2009-01-30 Dana Draghicescu , Rosaria Ignaccolo

Airborne particulate matter (PM2.5) is a major public health concern in urban environments, where population density and emission sources exacerbate exposure risks. We present a novel Bayesian spatiotemporal fusion model to estimate monthly…

We present a simple framework to easily pre-select the most essential data for accurately forecasting the concentration of the pollutant PM$_{10}$, based on pollutants observations for the years 2002 until 2006 in the metropolitan region of…

Atmospheric and Oceanic Physics · Physics 2014-11-05 Ana Russo , Pedro G. Lind , Frank Raischel , Ricardo Trigo , Manuel Mendes

Air quality has become one of the main issues in public health and urban planning management, due to the proven adverse effects of high pollutant concentrations. Considering the mitigation measures that cities all over the world are taking…

Machine Learning · Computer Science 2020-11-20 Rodrigo de Medrano , Víctor de Buen Remiro , José L. Aznarte

Surface ozone pollution remains a persistent challenge in many metropolitan regions worldwide, as the nonlinear dependence of ozone formation on nitrogen oxides and volatile organic compounds (VOCs) complicates the design of effective…

Applications · Statistics 2026-01-21 Sijie Zheng

Air pollution poses a significant threat to public health and well-being, particularly in urban areas. This study introduces a series of machine-learning models that integrate data from the Sentinel-5P satellite, meteorological conditions,…

Machine Learning · Computer Science 2024-05-31 Giacomo Blanco , Luca Barco , Lorenzo Innocenti , Claudio Rossi

Urban traffic emissions represent a significant concern due to their detrimental impacts on both public health and the environment. Consequently, decision-makers have flagged their reduction as a crucial goal. In this study, we first…

Machine Learning · Computer Science 2023-09-06 Miguel Folgado , Veronica Sanz , Johannes Hirn , Edgar Lorenzo-Saez , Javier Urchueguia

Air pollution constitutes the highest environmental risk factor in relation to heath. In order to provide the evidence required for health impact analyses, to inform policy and to develop potential mitigation strategies comprehensive…

Applications · Statistics 2021-08-23 Matthew L. Thomas , Gavin Shaddick , Daniel Simpson , Kees de Hoogh , James V. Zidek

This paper presents an engine able to forecast jointly the concentrations of the main pollutants harming people's health: nitrogen dioxide (NO2), ozone (O3) and particulate matter (PM2.5 and PM10, which are respectively the particles whose…

Machine Learning · Computer Science 2021-10-15 Thibaut Cassard , Grégoire Jauvion , Antoine Alléon , Boris Quennehen , David Lissmyr

The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It needs to be monitored and preserved continuously. Transportations, industries, construction sites, generators, fireworks, and waste burning…

Machine Learning · Computer Science 2023-04-20 Amisha Gangwar , Sudhakar Singh , Richa Mishra , Shiv Prakash

Wildfire frequency is increasing as the climate changes, and the resulting air pollution poses health risks. Just as people routinely use hourly weather forecasts to plan their day's activities around precipitation, reliable hourly air…

Machine Learning · Computer Science 2025-09-03 Renato Berlinghieri , David R. Burt , Paolo Giani , Arlene M. Fiore , Tamara Broderick

Tropospheric ozone is one of six criteria pollutants regulated by the US EPA, and has been linked to respiratory and cardiovascular endpoints and adverse effects on vegetation and ecosystems. Regional photochemical models have been…

Applications · Statistics 2013-12-09 Brian Reich , Daniel Cooley , Kristen Foley , Sergey Napelenok , Benjamin Shaby

We investigate the relationship between synoptic/local meteorological patterns and PM10 air pollution levels in the metropolitan area of Naples, Italy. We found that severe air pollution crises occurred when the 850 and 500 hpa geopotential…

Geophysics · Physics 2016-10-11 Alberto Fortelli , Nicola Scafetta , Adriano Mazzarella

Air pollution is a serious issue that currently affects many industrial cities in the world and can cause severe illness to the population. In particular, it has been proven that extreme high levels of airborne contaminants have dangerous…

Applications · Statistics 2019-11-12 Alexander Kreuzer , Luciana Dalla Valle , Claudia Czado

Air pollution poses a serious threat to human health as well as economic development around the world. To meet the increasing demand for accurate predictions for air pollutions, we proposed a Deep Inferential Spatial-Temporal Network to…

Machine Learning · Computer Science 2018-09-12 Hao Wang , Bojin Zhuang , Yang Chen , Ni Li , Dongxia Wei

Air pollution is a pressing environmental risk to public health, particularly in cities where population density and pollution levels are high. Traditional methods for exposure analysis often rely on census data, but recent studies…