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Exposure to elevated particulate matter pollution is of great concern to both the general public and air quality management agencies. At urban traffic intersections, for example, pedestrians are often at a higher risk of exposure to…

Physics and Society · Physics 2020-11-19 Hong-di Hea , H. Oliver Gao

Forest fires have a profound impact on the atmospheric environment and air quality across the ecosystems. The recent west coast forest fire in the United States of America (USA) has broken all the past records and caused severe…

Applications · Statistics 2020-10-27 Srikanta Sannigrahi , Qi Zhang , Francesco Pilla , Bidroha Basu , Arunima Sarkar Basu

Wildfires have increased in frequency and severity over the past two decades, especially in the Western United States. Beyond physical infrastructure damage caused by these wildfire events, researchers have increasingly identified harmful…

Computer Vision and Pattern Recognition · Computer Science 2021-09-06 Jeff Wen , Marshall Burke

Constructing high resolution air pollution maps at lower cost is crucial for sustainable city management and public health risk assessment. However, traditional fixed-site monitoring lacks spatial coverage, while mobile low-cost sensors…

Machine Learning · Computer Science 2025-03-18 Rui Xu , Dawen Yao , Yuzhuang Pian , Ruhui Cao , Yixin Fu , Xinru Yang , Ting Gan , Yonghong Liu

Efficient monitoring of airborne particulate matter (PM), especially particles with aerodynamic diameter less than 2.5 um (PM2.5), is crucial for improving public health. Reliable information on the concentration, size distribution and…

Applied Physics · Physics 2020-01-08 Abhinav Sharma , Shangran Xie , Richard Zeltner , Philip St. J. Russell

Air pollution remains a leading global health threat, with fine particulate matter (PM2.5) contributing to millions of premature deaths annually. Chemical transport models (CTMs) are essential tools for evaluating how emission controls…

Atmospheric and Oceanic Physics · Physics 2025-06-24 Shigan Liu , Guannan Geng , Yanfei Xiang , Hejun Hu , Xiaodong Liu , Xiaomeng Huang , Qiang Zhang

Ambient fine particulate matter less than 2.5 $\mu$m in aerodynamic diameter (PM$_{2.5}$) has been linked to various adverse health outcomes and has, therefore, gained interest in public health. However, the sparsity of air quality monitors…

Applications · Statistics 2018-02-12 Nancy Murray , Howard H. Chang , Heather Holmes , Yang Liu

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

Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are…

Machine Learning · Computer Science 2023-07-04 Hemanth Karnati

Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of trees died and they inevitably became a factor of forest fire.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Chia-Yen Chiang , Chloe Barnes , Plamen Angelov , Richard Jiang

The last two decades have seen intense scientific and regulatory interest in the health effects of particulate matter (PM). Influential epidemiological studies that characterize chronic exposure of individuals rely on monitoring data that…

Applications · Statistics 2009-06-09 Christopher J. Paciorek , Jeff D. Yanosky , Robin C. Puett , Francine Laden , Helen H. Suh

Fine particulate matter (PM2.5) is a mixture of air pollutants that has adverse effects on human health. Understanding the health effects of PM2.5 mixture and its individual species has been a research priority over the past two decades.…

Applications · Statistics 2019-09-10 Yawen Guan , Brian J Reich , James A Mulholland , Howard H Chang

It was recently demonstrated that two machine-learning architectures, reservoir computing and time-delayed feed-forward neural networks, can be exploited for detecting the Earth's anomaly magnetic field immersed in overwhelming complex…

Signal Processing · Electrical Eng. & Systems 2024-05-30 Mohammadamin Moradi , Zheng-Meng Zhai , Aaron Nielsen , Ying-Cheng Lai

Wildfires are a major producer of fine particulate matter, impacting human health and the electrical grid. Accurately forecasting smoke impacts over long time scales incorporates fuel treatment strategies, natural fuel succession, and…

Machine Learning · Computer Science 2026-05-07 Zachary Morrow , Joseph Crockett , John D. Jakeman , Dan J. Krofcheck

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

Accurate forecasts of fine particulate matter (PM 2.5) from wildfire smoke are crucial to safeguarding cardiopulmonary public health. Existing forecasting systems are trained on sparse and inaccurate ground truths, and do not take…

Computer Vision and Pattern Recognition · Computer Science 2020-09-25 Renhao Wang , Ashutosh Bhudia , Brandon Dos Remedios , Minnie Teng , Raymond Ng

Accurate quantification of forest coverage and combustible biomass (fuel load) is critical for wildfire risk assessment and ecosystem management. However, traditional methods relying on airborne LiDAR or field surveys are cost-prohibitive…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Quanyun Wu , Kyle Gao , Wentao Sun , Zhengsen Xu , Hudson Sun , Linlin Xu , Yuhao Chen , David A. Clausi , Jonathan Li

Fine particulate matter (PM$_{2.5}$) is one of the criteria air pollutants regulated by the Environmental Protection Agency in the United States. There is strong evidence that ambient exposure to (PM$_{2.5}$) increases risk of mortality and…

Machine Learning · Statistics 2018-10-31 M. Benjamin Sabath , Qian Di , Danielle Braun , Joel Schwarz , Francesca Dominici , Christine Choirat

Air pollution remains a major global issue that seriously impacts public health, environmental quality, and ultimately human health. To help monitor problem, we have created and constructed a low-cost, real-time, portable air quality…

Signal Processing · Electrical Eng. & Systems 2025-07-01 S M Minhazur Rahman , Md. Amrin Ibna Hasnath , Rifatul Islam , Ahmed Faizul Haque Dhrubo , Mohammad Abdul Qayum

Fine particulate matter and aerosol optical thickness are of interest to atmospheric scientists for understanding air quality and its various health/environmental impacts. The available data are extremely large, making uncertainty…

Methodology · Statistics 2025-03-05 Madelyn Clinch , Jonathan R. Bradley