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Related papers: Tackling air quality with SAPIENS

200 papers

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…

In recent years, the world has become increasingly concerned with air pollution. Particularly in the global north, countries are implementing systems to monitor air pollution on a large scale to aid decision-making. Such efforts are…

Physics and Society · Physics 2024-02-20 Liam J Berrisford , Eraldo Ribeiro , Ronaldo Menezes

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

Data used to assess acute health effects from air pollution typically have good temporal but poor spatial resolution or the opposite. A modified longitudinal model was developed that sought to improve resolution in both domains by bringing…

Applications · Statistics 2013-12-02 Lixun Zhang , Yongtao Guan , Brian P. Leaderer , Theodore R. Holford

This paper overviews two interdependent issues important for mining remote sensing data (e.g. images) obtained from atmospheric monitoring missions. The first issue relates the building new public datasets and benchmarks, which are hot…

Computer Vision and Pattern Recognition · Computer Science 2021-06-29 Chaabane Djeraba , Jérôme Riedi

This is a relevant problem because the design of most cities prioritizes the use of motorized vehicles, which has degraded air quality in recent years, having a negative effect on urban health. Modeling, predicting, and forecasting ambient…

Neural and Evolutionary Computing · Computer Science 2020-10-07 Jamal Toutouh

Air pollution is a major concern in large urban areas. Various studies have been made to monitor and control the pollution level emitted by the vehicles but some main factors like ease of implementation or feasibility of the proposed…

Cryptography and Security · Computer Science 2019-02-27 Seyed Pourya Miralavy , Reza Ebrahimi Atani , Navid Khoshrouz

Driven by the increasingly serious air pollution problem, the monitoring of air quality has gained much attention in both theoretical studies and practical implementations. In this paper, we present the architecture, implementation and…

Other Computer Science · Computer Science 2019-02-28 Zhiwen Hu , Zixuan Bai , Kaigui Bian , Tao Wang , Lingyang Song

Urban air pollution is a major environmental problem affecting human health and quality of life. Monitoring stations have been established to continuously obtain air quality information, but they do not cover all areas. Thus, there are…

Machine Learning · Computer Science 2021-08-17 Yuya Sasaki , Kei Harada , Shohei Yamasaki , Makoto Onizuka

Air quality is closely related to public health. Health issues such as cardiovascular diseases and respiratory diseases, may have connection with long exposure to highly polluted environment. Therefore, accurate air quality forecasts are…

Applications · Statistics 2019-12-17 Haolin Fei , Xiaofeng Wu , Chunbo Luo

Air pollution constitutes a global problem of paramount importance that affects not only human health, but also the environment. The existence of spatial and temporal data regarding the concentrations of pollutants is crucial for performing…

Machine Learning · Computer Science 2024-02-13 Teresa Bernardino , Maria Alexandra Oliveira , João Nuno Silva

It is of utmost importance to have a clear understanding of the status of air pollution and to provide forecasts and insights about the air quality to the general public and researchers in environmental studies. Previous studies of…

Methodology · Statistics 2021-04-08 Soudeep Deb , Ruey S. Tsay

Air pollutants, such as particulate matter, negatively impact human health. Most existing pollution monitoring techniques use stationary sensors, which are typically sparsely deployed. However, real-world pollution distributions vary…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Zuohui Chen , Tony Zhang , Zhuangzhi Chen , Yun Xiang , Qi Xuan , Robert P. Dick

We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health. Typically, exposure to air pollution for an individual is measured at their home geographic region,…

Methodology · Statistics 2025-11-18 Heejun Shin , Danielle Braun , Kezia Irene , Michelle Audirac , Joseph Antonelli

Air pollution has become a significant health risk in developing countries. While governments routinely publish air-quality index (AQI) data to track pollution, these values fail to capture the local reality, as sensors are often very…

Machine Learning · Computer Science 2025-06-13 Aaryam Sharma

Traffic congestion is a major problem in megacities which increases vehicle emissions and degrades ambient air quality. Various models have been developed to address the universal features of traffic jams. These models range from micro…

Physics and Society · Physics 2023-11-08 Sasan Ebrahimabadi , Ali Hosseiny , Jingfang Fan , Abbas Ali Saberi

Urban traffic congestion significantly impacts regional air quality and contributes substantially to pollutant emissions. Suburban freeway corridors are a major source of traffic-related emissions, particularly nitrogen oxides (NOx) and…

Optimization and Control · Mathematics 2025-06-17 Alexander Hammerl , Ravi Seshadri , Thomas Kjær Rasmussen , Otto Anker Nielsen

Ambient air pollution poses significant health and environmental challenges. Exposure to high concentrations of PM$_{2.5}$ have been linked to increased respiratory and cardiovascular hospital admissions, more emergency department visits…

Applications · Statistics 2026-02-27 Zeinab Mohamed , Wenlong Gong

Reducing air pollution, such as CO2 and PM2.5 emissions, is one of the most important issues for many countries worldwide. Selecting an environmentally friendly transport mode can be an effective approach of individuals to reduce air…

Machine Learning · Computer Science 2021-09-15 Keiichi Ochiai , Tsukasa Demizu , Shin Ishiguro , Shohei Maruyama , Akihiro Kawana

Air pollution by Nitrogen Oxides (NOx) is a major concern in large cities as it has severe adverse health effects. However, the statistical properties of air pollutants are not fully understood. Here, we use methods borrowed from…

Data Analysis, Statistics and Probability · Physics 2020-01-15 Griffin Williams , Benjamin Schäfer , Christian Beck