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 …

Long-range transport impacts from biomass burning and secondary pollutant sources based on receptor models during KORUS-AQ campaign

M Song, J Park, Y Lim, SH Oh, JY Lee, KH Lee… - Atmospheric …, 2022 - Elsevier
Scientific analyses were carried out to determine the effect of long-range transport of
particulate matters based on chemical speciation of fine particulate matters (PM 2.5) …

Probing air pollution in the Taichung metropolitan area, Taiwan. Part 1: Comprehensive model evaluation and the spatial-temporal evolution of a PM2. 5 pollution …

MT Chuang, CCK Chou, CY Lin, JH Lee, WC Lin… - Atmospheric …, 2023 - Elsevier
Taichung City has become the second largest city in Taiwan, where PM 2.5 and O 3
pollution events occur frequently. The causes of these events urgently need a …

Concurrent measurements of nitrate at urban and suburban sites identify local nitrate formation as a driver for urban episodic PM2. 5 pollution

J Li, SCH Ho, SM Griffith, Y Huang, RKY Cheung… - Science of The Total …, 2023 - Elsevier
Abstract Nitrate (NO 3−) is often among the leading components of urban particulate matter
(PM) during PM pollution episodes. However, the factors controlling its prevalence remain …

Spatial-temporal evaluation of PM2. 5 concentration for health risk reduction strategy development in a basin with different weather patterns

HW Chen, CY Chen, TW Chang, GY Lin - Atmospheric Pollution Research, 2023 - Elsevier
Identifying the contribution of pollution sources to the atmospheric environment is critical to
make an effective pollution reduction strategy for controlling the regional air quality. Spatial …

[HTML][HTML] Quantifying source contributions to ambient NH3 using Geo-AI with time lag and parcel tracking functions

CD Wu, JJ Zhu, CY Hsu, RH Shie - Environment international, 2024 - Elsevier
Ambient ammonia (NH 3) plays an important compound in forming particulate matters (PMs),
and therefore, it is crucial to comprehend NH 3′ s properties in order to better reduce PMs …

An Improved Attention-Based Integrated Deep Neural Network for PM2.5 Concentration Prediction

P Shi, X Fang, J Ni, J Zhu - Applied Sciences, 2021 - mdpi.com
The air quality prediction is a very important and challenging task, especially PM 2.5
(particles with diameter less than 2.5 μm) concentration prediction. To improve the accuracy …

Urban air pollution estimation using unscented Kalman filtered inverse modeling with scaled monitoring data

S Metia, QP Ha, HN Duc, Y Scorgie - Sustainable Cities and Society, 2020 - Elsevier
The increasing rate of urbanization requires effective and reliable techniques for air quality
monitoring and control. For this, the Air Pollution Model and Chemical Transport Model …

Boundary layer characteristics over complex terrain in central Taiwan: Observations and numerical modeling

FY Cheng, YT Wang, MQ Huang, PL Lin… - Journal of …, 2022 - Wiley Online Library
The development of the atmospheric boundary layer and flow circulation becomes
complicated over complex terrain. A field campaign involving the acquisition of tethersonde …

Enhancing real-time PM2. 5 forecasts: A hybrid approach of WRF-CMAQ model and CNN algorithm

YJ Lee, FY Cheng, HC Chien, YC Lin, MT Sun - Atmospheric Environment, 2024 - Elsevier
As fine particulate matter (PM 2.5) poses significant environmental and human health risks,
there is an urgent need for accurate forecasting systems. In Taiwan, the current air quality …