Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods
Since the unprecedented outbreak of the COVID-19, numerous meteorological-
normalization techniques have been developed in lockdown-imposed regions to decouple …
normalization techniques have been developed in lockdown-imposed regions to decouple …
[HTML][HTML] The respiratory impacts of air pollution in children: Global and domestic (Taiwan) situation
IP Wu, SL Liao, SH Lai, KS Wong - Biomedical Journal, 2022 - Elsevier
Air pollution is a global issue that threatens the health of human beings. Epidemiologic
reports have shown air pollution exposures to result in millions of deaths annually. Infancy …
reports have shown air pollution exposures to result in millions of deaths annually. Infancy …
Forecasting air quality in Taiwan by using machine learning
This study proposes a gradient-boosting-based machine learning approach for predicting
the PM2. 5 concentration in Taiwan. The proposed mechanism is evaluated on a large-scale …
the PM2. 5 concentration in Taiwan. The proposed mechanism is evaluated on a large-scale …
Evaluation of real-time PM2. 5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2. 5 forecasts in Taiwan
FY Cheng, CY Feng, ZM Yang, CH Hsu… - Atmospheric …, 2021 - Elsevier
A real-time air quality forecasting (AQF) system was developed in Taiwan using the Weather
Research and Forecasting meteorological model and Community Multiscale Air Quality …
Research and Forecasting meteorological model and Community Multiscale Air Quality …
A systematic review of spatial and temporal epidemiological approaches, focus on lung cancer risk associated with particulate matter
Background Particulate matter (PM), including the major risk factor for lung cancer (LC),
greatly impacts human health. Although numerous studies have highlighted spatiotemporal …
greatly impacts human health. Although numerous studies have highlighted spatiotemporal …
Air pollution diffusion simulation and seasonal spatial risk analysis for industrial areas
YC Lin, CY Lai, CP Chu - Environmental Research, 2021 - Elsevier
The petrochemical industry produces many air pollutants during production, such as
airborne particulate matters (PM 10 and PM 2.5), sulfur oxides, nitrogen oxides, volatile …
airborne particulate matters (PM 10 and PM 2.5), sulfur oxides, nitrogen oxides, volatile …
Spatial-temporal characterization of air pollutants using a hybrid deep learning/Kriging model incorporated with a weather normalization technique
A scarce distribution of the PM 2.5 chemical compositions monitors reduces the applicability
of scientific information for policymakers to assess the effectiveness of air pollution control …
of scientific information for policymakers to assess the effectiveness of air pollution control …
Long-term exposure to air pollution and the occurrence of metabolic syndrome and its components in Taiwan
Background: Metabolic syndrome (MetS), a major contributor to cardiovascular and
metabolic diseases, has been linked with exposure to air pollution. However, the …
metabolic diseases, has been linked with exposure to air pollution. However, the …
Forecasting hourly PM2. 5 concentration with an optimized LSTM model
HD Tran, HY Huang, JY Yu, SH Wang - Atmospheric Environment, 2023 - Elsevier
Abstract Machine learning has become a powerful tool in air quality assessment which can
provide timely and predictable information, alert the public, and take timely measures to …
provide timely and predictable information, alert the public, and take timely measures to …
The application of a high-density street-level air temperature observation network (HiSAN): Spatial and temporal variations of thermal and wind condition in different …
Different patterns of urban development will result in different characteristics of the urban
heat island effect (UHI). In order to explore the impacts of urban environment characteristics …
heat island effect (UHI). In order to explore the impacts of urban environment characteristics …