A review of strategies for mitigating roadside air pollution in urban street canyons

Y Huang, C Lei, CH Liu, P Perez, H Forehead… - Environmental …, 2021 - Elsevier
Urban street canyons formed by high-rise buildings restrict the dispersion of vehicle
emissions, which pose severe health risks to the public by aggravating roadside air quality …

[HTML][HTML] An analytical review on the evaluation of wind resource and wind turbine for urban application: Prospect and challenges

Z Tasneem, A Al Noman, SK Das, DK Saha… - Developments in the …, 2020 - Elsevier
Wind energy is a promising scheme in the power generation sector due to pollution-free
power production and wind resources' sufficiency worldwide. Installing wind turbines in all …

Disentangling the complex impacts of urban digital transformation and environmental pollution: Evidence from smart city pilots in China

D Wu, Y **e, S Lyu - Sustainable Cities and Society, 2023 - Elsevier
Existing studies are mixed about whether smart city construction (SCC) can alleviate urban
environmental pollution. This study takes three batches of smart city pilots implemented by …

Numerical simulation to assess the impact of urban green infrastructure on building energy use: A review

S Zhu, F Causone, N Gao, Y Ye, X **, X Zhou… - Building and …, 2023 - Elsevier
In order to address the increased urban heat island (UHI) effects and energy demand
caused by global urbanization, it is imperative to seek sustainable urban design solutions. It …

[HTML][HTML] Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings

DPP Meddage, IU Ekanayake, AU Weerasuriya… - Journal of Wind …, 2022 - Elsevier
This study used explainable machine learning (XML), a new branch of Machine Learning
(ML), to elucidate how ML models make predictions. Three tree-based regression models …

Analyzing the impact of three-dimensional building structure on CO2 emissions based on random forest regression

J Lin, S Lu, X He, F Wang - Energy, 2021 - Elsevier
Carbon dioxide (CO 2) is the primary greenhouse gas that increasingly threatens
environmental conditions and public health. In addition to conventional socio-economic …

A reduced order model for turbulent flows in the urban environment using machine learning

D **ao, CE Heaney, L Mottet, F Fang, W Lin… - Building and …, 2019 - Elsevier
To help create a comfortable and healthy indoor and outdoor environment in which to live,
there is a need to understand turbulent air flows within the urban environment. To this end …

Review of modelling air pollution from traffic at street-level-The state of the science

H Forehead, N Huynh - Environmental Pollution, 2018 - Elsevier
Traffic emissions are a complex and variable cocktail of toxic chemicals. They are the major
source of atmospheric pollution in the parts of cities where people live, commute and work …

Explore spatio-temporal PM2. 5 features in northern Taiwan using machine learning techniques

FJ Chang, LC Chang, CC Kang, YS Wang… - Science of the Total …, 2020 - Elsevier
The complex mixtures of local emission sources and regional transportations of air
pollutants make accurate PM2. 5 prediction a very challenging yet crucial task, especially …

Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm

J Lin, X He, S Lu, D Liu, P He - Environmental Research, 2021 - Elsevier
Urban pluvial flooding has emerged as a serious threat to environmental conditions and
human lives. Identifying its key drivers is crucial for the mitigation of flood risks. Although …