A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science
Air pollution is a global geo-hazard with significant implications, including deterioration of
health and premature death. Climatic variables such as temperature, rainfall, wind, and …
health and premature death. Climatic variables such as temperature, rainfall, wind, and …
Ozone modelling and mapping for risk assessment: an overview of different approaches for human and ecosystems health
A De Marco, H Garcia-Gomez, A Collalti… - Environmental …, 2022 - Elsevier
Tropospheric ozone (O 3) is one of the most concernedair pollutants dueto its widespread
impacts on land vegetated ecosystems and human health. Ozone is also the third …
impacts on land vegetated ecosystems and human health. Ozone is also the third …
Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
Abstract In East Asia, air quality has been recognized as an important public health problem.
In particular, the surface concentrations of air pollutants are closely related to human life …
In particular, the surface concentrations of air pollutants are closely related to human life …
The effect of pollution on crime: Evidence from data on particulate matter and ozone
We estimate the effect of short-term air pollution exposure (PM 2.5 and ozone) on several
categories of crime, with a particular emphasis on aggressive behavior. To identify this …
categories of crime, with a particular emphasis on aggressive behavior. To identify this …
Modified inverse distance weighting interpolation for particulate matter estimation and mapping
K Choi, K Chong - Atmosphere, 2022 - mdpi.com
Various studies are currently underway on PM (Particulate Matter) monitoring in view of the
importance of air quality in public health management. Spatial interpolation has been used …
importance of air quality in public health management. Spatial interpolation has been used …
Contributions of meteorology to ozone variations: Application of deep learning and the Kolmogorov-Zurbenko filter
From hourly ozone observations obtained from three regions⸻ Houston, Dallas, and West
Texas⸻ we investigated the contributions of meteorology to changes in surface daily …
Texas⸻ we investigated the contributions of meteorology to changes in surface daily …
Trends of BTEX in the central urban area of Iran: A preliminary study of photochemical ozone pollution and health risk assessment
Abstract The Environmental Protection Agency (USEPA) has identified Benzene, Toluene,
Ethylbenzene, and Xylene (BTEX) as hazardous air pollutants. In this study, BTEX sampling …
Ethylbenzene, and Xylene (BTEX) as hazardous air pollutants. In this study, BTEX sampling …
Wildfire exposure to the wildland urban interface in the western US
Predicting wildfire disasters presents a major challenge to the field of risk science, especially
when fires propagate long distances through diverse fuel types and complex terrain. A good …
when fires propagate long distances through diverse fuel types and complex terrain. A good …
Network analysis of wildfire transmission and implications for risk governance
We characterized wildfire transmission and exposure within a matrix of large land tenures
(federal, state, and private) surrounding 56 communities within a 3.3 million ha fire prone …
(federal, state, and private) surrounding 56 communities within a 3.3 million ha fire prone …
How neighborhood effect averaging might affect assessment of individual exposures to air pollution: A study of ozone exposures in Los Angeles
The neighborhood effect averaging problem (NEAP) can be a serious methodological
problem that leads to erroneous assessments when studying mobility-dependent exposures …
problem that leads to erroneous assessments when studying mobility-dependent exposures …