A study on air pollution exposure of “first and last mile” urban commuters under space-behavior dual verification based on big data, land-use regression model and …
Urban traffic-related air pollution (TRAP) exposure is a serious problem during daily
commutes. Previous studies assess the TRAP exposure of commuters mainly based on …
commutes. Previous studies assess the TRAP exposure of commuters mainly based on …
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2. 5 concentration long-term prediction
Nowadays, air pollution has become one of the most serious environmental problems facing
humanity and an inescapable obstacle limiting the sustainable development of cities and …
humanity and an inescapable obstacle limiting the sustainable development of cities and …
Spatial patterns of the diurnal variations of PM2. 5 and their influencing factors across China
J Liu, S Wang, K Zhu, J Hu, R Li, X Song - Atmospheric Environment, 2024 - Elsevier
Abstract Air pollution, particularly PM 2.5, is a significant public health concern in China and
worldwide. The diurnal fluctuation feature of PM 2.5 is a crucial factor influencing human …
worldwide. The diurnal fluctuation feature of PM 2.5 is a crucial factor influencing human …
Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors
Purpose The study aims to develop a multilayer high-effective ensemble of ensembles
predictive model (stacking ensemble) using several hyperparameter optimized ensemble …
predictive model (stacking ensemble) using several hyperparameter optimized ensemble …
A machine learning-based ensemble model for estimating diurnal variations of nitrogen oxide concentrations in Taiwan
Air pollution is inextricable from human activity patterns. This is especially true for nitrogen
oxide (NO x), a pollutant that exists naturally and also as a result of anthropogenic factors …
oxide (NO x), a pollutant that exists naturally and also as a result of anthropogenic factors …
Accurate long-term dust concentration prediction in open-pit mines: A novel machine learning approach integrating meteorological conditions and mine production …
Y Yang, W Zhou, Z Wang, IM Jiskani, Y Yang - Journal of Cleaner …, 2024 - Elsevier
Amidst the transition from rapid growth to high-quality development in the surface mining
industry, mine dust remains a severe public health and safety issue. This study introduces a …
industry, mine dust remains a severe public health and safety issue. This study introduces a …
Data analysis and preprocessing techniques for air quality prediction: a survey
C Yu, J Tan, Y Cheng, X Mi - Stochastic Environmental Research and Risk …, 2024 - Springer
Air quality prediction technology can provide effective technical means for environmental
governance. In recent years, due to the strong nonlinearity of data, there has been extensive …
governance. In recent years, due to the strong nonlinearity of data, there has been extensive …
What is the spatiotemporal pattern of benzene concentration spread over susceptible area surrounding the Hartman Park community, Houston, Texas?
Abstract The Hartman Park community in Houston, Texas-USA, is in a highly polluted area
which poses significant risks to its predominantly Hispanic and lower-income residents …
which poses significant risks to its predominantly Hispanic and lower-income residents …
Explainable geospatial-artificial intelligence models for the estimation of PM2. 5 concentration variation during commuting rush hours in Taiwan
PM 2.5 concentrations are higher during rush hours at background stations compared to the
average concentration across these stations. Few studies have investigated PM 2.5 …
average concentration across these stations. Few studies have investigated PM 2.5 …
Temporal Heterogeneity in the Performance of Machine Learning Models for PM2. 5 Concentration Estimation
P Li, S Huang, C Luo, X Li, Q Zhang, J Wang… - Process Safety and …, 2024 - Elsevier
Machine learning (ML) methods have been applied extensively to simulate air pollutant
concentrations and assess individual exposure in epidemiological studies. However, there …
concentrations and assess individual exposure in epidemiological studies. However, there …