The development and application of machine learning in atmospheric environment studies
Machine learning (ML) plays an important role in atmospheric environment prediction,
having been widely applied in atmospheric science with significant progress in algorithms …
having been widely applied in atmospheric science with significant progress in algorithms …
Mechanisms and pathways for coordinated control of fine particulate matter and ozone
Abstract Purpose of Review Fine particulate matter (PM2. 5) and ground-level ozone (O3)
pose a significant risk to human health. The World Health Organization (WHO) has recently …
pose a significant risk to human health. The World Health Organization (WHO) has recently …
Sensitivity of air pollution exposure and disease burden to emission changes in China using machine learning emulation
Abstract Machine learning models can emulate chemical transport models, reducing
computational costs and enabling more experimentation. We developed emulators to predict …
computational costs and enabling more experimentation. We developed emulators to predict …
[HTML][HTML] Road transport impact on PM2. 5 pollution over Delhi during the post-monsoon season
We use the WRF-Chem atmospheric chemical transport model, driven by local emission
inventories, to quantify the contribution of on-road transport emissions to surface PM 2.5 …
inventories, to quantify the contribution of on-road transport emissions to surface PM 2.5 …
[HTML][HTML] Multinational prediction of household and personal exposure to fine particulate matter (PM2. 5) in the PURE cohort study
M Shupler, P Hystad, A Birch, YL Chu… - Environment …, 2022 - Elsevier
Introduction Use of polluting cooking fuels generates household air pollution (HAP)
containing health-damaging levels of fine particulate matter (PM 2.5). Many global …
containing health-damaging levels of fine particulate matter (PM 2.5). Many global …
The contribution of emission sources to the future air pollution disease burden in China
Air pollution exposure is a leading public health problem in China. Despite recent air quality
improvements, fine particulate matter (PM 2.5) exposure remains large, the associated …
improvements, fine particulate matter (PM 2.5) exposure remains large, the associated …
Cooperative and Bifunctional Adsorbent‐Catalyst Materials for In‐situ VOCs Capture‐Conversion
Volatile organic compounds (VOCs) are gases that are emitted into the air from products or
processes and are major components of air pollution that significantly deteriorate air quality …
processes and are major components of air pollution that significantly deteriorate air quality …
Emission sector impacts on air quality and public health in China from 2010 to 2020
Anthropogenic emissions and ambient fine particulate matter (PM2. 5) concentrations have
declined in recent years across China. However, PM2. 5 exposure remains high, ozone (O3) …
declined in recent years across China. However, PM2. 5 exposure remains high, ozone (O3) …
Development and application of a multi-scale modelling framework for urban high-resolution NO2 pollution mapping
Vehicle emissions have become a major source of air pollution in urban areas, especially for
near-road environments, where the pollution characteristics are difficult to be captured by a …
near-road environments, where the pollution characteristics are difficult to be captured by a …
Emulation of a chemical transport model to assess air quality under future emission scenarios for the southwest of western Australia
S Vander Hoorn, JS Johnson, K Murray, R Smit… - Atmosphere, 2022 - mdpi.com
Simulation outputs from chemical transport models (CTMs) are essential to plan effective air
quality policies. A key strength of these models is their ability to separate out source-specific …
quality policies. A key strength of these models is their ability to separate out source-specific …