Revealing drivers of haze pollution by explainable machine learning
Many places on earth still suffer from a high level of atmospheric fine particulate matter
(PM2. 5) pollution. Formation of a particulate pollution event or haze episode (HE) involves …
(PM2. 5) pollution. Formation of a particulate pollution event or haze episode (HE) involves …
Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover
Aerosol–cloud interactions have a potentially large impact on climate but are poorly
quantified and thus contribute a substantial and long-standing uncertainty in climate …
quantified and thus contribute a substantial and long-standing uncertainty in climate …
Future reductions of China's transport emissions impacted by changing driving behaviour
This paper examines what individual drivers can contribute to reduce global vehicle
emissions in their daily driving. Here we analyse vehicle emissions from the behavioural …
emissions in their daily driving. Here we analyse vehicle emissions from the behavioural …
A data-driven method of traffic emissions mapping with land use random forest models
The development of intelligent approaches to quantify and mitigate on-road emissions is
essential for urban and transportation sustainability for global megacities. Here, we utilize …
essential for urban and transportation sustainability for global megacities. Here, we utilize …
Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects
V Calatayud, JJ Diéguez, E Agathokleous… - Environmental …, 2023 - Elsevier
Air pollution is a prevailing environmental problem in cities worldwide. The future vehicle
electrification (VE), which in Europe will be importantly fostered by the ban of thermal …
electrification (VE), which in Europe will be importantly fostered by the ban of thermal …
[HTML][HTML] Contributions of various driving factors to air pollution events: Interpretability analysis from Machine learning perspective
T Li, Q Zhang, Y Peng, X Guan, L Li, J Mu… - Environment …, 2023 - Elsevier
The air quality in China has been improved substantially, however fine particulate matter
(PM 2.5) still remain at a high level in many areas. PM 2.5 pollution is a complex process …
(PM 2.5) still remain at a high level in many areas. PM 2.5 pollution is a complex process …
Assessing the effects of short-term traffic restriction policies on traffic-related air pollutants
The implementation of short-term traffic restriction policies (TRPs) during major events
positively influences the traffic emission reduction. However, few studies explore the impact …
positively influences the traffic emission reduction. However, few studies explore the impact …
The impacts from cold start and road grade on real-world emissions and fuel consumption of gasoline, diesel and hybrid-electric light-duty passenger vehicles
L He, Y You, X Zheng, S Zhang, Z Li, Z Zhang… - Science of The Total …, 2022 - Elsevier
Progressively stringent regulations regarding vehicle emissions and fuel economy have
spurred technology diversification in light-duty passenger vehicles (LDPVs). To assess the …
spurred technology diversification in light-duty passenger vehicles (LDPVs). To assess the …
Global benefits of non‐continuous flooding to reduce greenhouse gases and irrigation water use without rice yield penalty
Non‐continuous flooding is an effective practice for reducing greenhouse gas (GHG)
emissions and irrigation water use (IRR) in rice fields. However, advancing global …
emissions and irrigation water use (IRR) in rice fields. However, advancing global …
Deciphering urban traffic impacts on air quality by deep learning and emission inventory
Air pollution is a major obstacle to future sustainability, and traffic pollution has become a
large drag on the sustainable developments of future metropolises. Here, combined with the …
large drag on the sustainable developments of future metropolises. Here, combined with the …