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Quantifying the impact of climate change on future air quality is a challenging subject in air quality studies. An ANN model is employed to simulate hourly O3 concentrations. The model is developed based on hourly monitored values of…

Atmospheric and Oceanic Physics · Physics 2022-05-20 Ehsan Mosadegh , Khosro Ashrafi , Majid Shafiepour Motlagh , Iman Babaeian

The usage of multilayer complex networks for the analysis of correlations among environmental variables (such as O3 and NO2 concentrations from the photochemical smog) is investigated in this work. The mentioned technique is called…

Atmospheric and Oceanic Physics · Physics 2023-11-21 R. Carmona-Cabezas , J. Gomez-Gomez , A. B. Ariza-Villaverde , E. Gutierrez de Rave , F. J. Jimenez-Hornero

Climate change and the rapid growth of urban populations are intensifying environmental stresses within cities, making the behavior of urban atmospheric flows a critical factor in public health, energy use, and overall livability. This…

Machine Learning · Computer Science 2026-03-19 Nishant Kumar , Franck Kerhervé , Lionel Agostini , Laurent Cordier

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

Motivated by analyzing a national data base of annual air pollution and cardiovascular disease mortality rate for 3100 counties in the U.S. (areal data), we develop a novel statistical framework to automatically detect spatially varying…

Applications · Statistics 2015-11-19 Shuo Chen , Chengsheng Jiang , Lance Waller

Urban congestions cause inefficient movement of vehicles and exacerbate greenhouse gas emissions and urban air pollution. Macroscopic emission fundamental diagram (eMFD)captures an orderly relationship among emission and aggregated traffic…

Air pollution represents a pivotal environmental challenge globally, playing a major role in climate change via greenhouse gas emissions and negatively affecting the health of billions. However predicting the spatial and temporal patterns…

Machine Learning · Computer Science 2024-02-13 Madhav Khirwar , Ankur Narang

Air pollution has been a long-existing problem for most of the major metropolitan cities of the world. Several measures including strict climate laws and reduction in the number of vehicles were implemented by several nations. However, in…

Physics and Society · Physics 2021-07-29 Dewansh Kaloni , Yee Hui Lee , Soumyabrata Dev

Claims from observational studies often fail to replicate. A study was undertaken to assess the reliability of cohort studies used in a highly cited meta-analysis of the association between ambient nitrogen dioxide, NO2, and fine…

Applications · Statistics 2020-10-22 S. Stanley Young , Kai-Chieh Cheng , Jin Hua Chen , Shu-Chuan Chen , Warren B. Kindzierski

The sustainability of urban environments is an increasingly relevant problem. Air pollution plays a key role in the degradation of the environment as well as the health of the citizens exposed to it. In this chapter we provide a review of…

Machine Learning · Computer Science 2022-01-03 Pablo Torres , Beril Sirmacek , Sergio Hoyas , Ricardo Vinuesa

This study provides a comprehensive time series analysis of daily industry-specific, country-wise CO$_2$ emissions from January 2019 to February 2023. The research focuses on the Power, Industry, Ground Transport, Domestic Aviation, and…

Machine Learning · Computer Science 2023-07-28 Suchetana Sadhukhan , Vivek Kumar Yadav

Poor air quality has become an increasingly critical challenge for many metropolitan cities, which carries many catastrophicphysical and mental consequences on human health and quality of life. However, accurately monitoring and forecasting…

Signal Processing · Electrical Eng. & Systems 2020-02-03 Qi Zhang , Jacqueline CK Lam , Victor OK Li , Yang Han

Air pollution is a worldwide issue that affects the lives of many people in urban areas. It is considered that the air pollution may lead to heart and lung diseases. A careful and timely forecast of the air quality could help to reduce the…

Machine Learning · Computer Science 2022-11-21 Iryna Talamanova , Sabri Pllana

Diabetes mellitus is a disease which is currently a huge health hazard globally. The cases of diabetes had increased by a significant amount in past decades. Also it has been predicted that it will further increase in future. Diabetes…

Biological Physics · Physics 2023-08-01 Sourav Chowdhury , Suparna Roychowdhury , Indranath Chaudhuri

Despite several national and local policies towards cleaner air in England, many schools in London breach the WHO-recommended concentrations of air pollutants such as NO2 and PM2.5. This is while, previous studies highlight significant…

Applications · Statistics 2021-07-28 Niloofar Shoari , Shahram Heydari , Marta Blangiardo

Air pollution is a major problem today that causes serious damage to human health. Urban areas are the most affected by the degradation of air quality caused by anthropogenic gas emissions. Although there are multiple proposals for air…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-30 Badr-Eddine Boudriki Semlali , Chaker El Amrani , Guadalupe Ortiz , Juan Boubeta-Puig , Alfonso Garcia-de-Prado

Driven many-particle systems with nonlinear interactions are known to often display multi-stability, i.e. depending on the respective initial condition, there may be different outcomes. Here, we study this phenomenon for traffic models,…

Physics and Society · Physics 2009-11-13 Dirk Helbing , Mehdi Moussaid

We study the relation between nitrogen and oxygen abundances as a function of metallicity for a sample of emission-line objects for which a direct measurement of the metallicity has been possible. This sample is representative of the very…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-13 Enrique Perez-Montero , Thierry Contini

We present an approach to estimate the severity of traffic related accidents in aggregated (area-level) and disaggregated (point level) data. Exploring spatial features, we measure complexity of road networks using several area level…

Machine Learning · Computer Science 2019-06-26 Devashish Khulbe , Soumya Sourav

Following the Paris Agreement of $2015$, most countries have agreed to reduce their carbon dioxide (CO$_2$) emissions according to individually set Nationally Determined Contributions. However, national CO$_2$ emissions are reported by…

Applications · Statistics 2021-02-26 Mikkel Bennedsen
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