[HTML][HTML] Multi-step forecast of PM2. 5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning

K Zhang, X Yang, H Cao, J Thé, Z Tan, H Yu - Environment International, 2023 - Elsevier
Accurate and reliable forecasting of PM 2.5 and PM 10 concentrations is important to the
public to reasonably avoid air pollution and for the governmental policy responses …

Modeling air quality prediction using a deep learning approach: Method optimization and evaluation

W Mao, W Wang, L Jiao, S Zhao, A Liu - Sustainable Cities and Society, 2021 - Elsevier
Air pollution is one of the hot issues that attracted widespread attention from urban and
society management. Air quality prediction is to issue an alarm when severe pollution …

Air pollution monitoring, and modelling: an overview

F Tahir Bahadur, S Rasool Shah… - Environmental …, 2024 - Taylor & Francis
Air Pollution has been an eclectic ecological problem exposed and exaggerated by constant
urbanization, massive industrialization, population explosion, and unregulated exploitation …

[HTML][HTML] A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting

Z Zhao, J Wu, F Cai, S Zhang, YG Wang - Ecological Indicators, 2022 - Elsevier
Accurate air quality index (AQI) forecasting makes a difference to public health, local
economic development, and ecological environment. As a typical geographical datum, the …

Drivers of alleviated PM2. 5 and O3 concentrations in China from 2013 to 2020

T Shao, P Wang, W Yu, Y Gao, S Zhu, Y Zhang… - Resources …, 2023 - Elsevier
Abstract Since 2013, the Chinese Government implemented “Clean Air Action” Phase I
(2013–2017) and Phase II (2018–2020) consecutively to improve air quality. However, it …

A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001–2016: the roles of land cover change and climate variability

H Wang, Q Wu, AB Guenther, X Yang… - Atmospheric …, 2021 - acp.copernicus.org
Satellite observations reveal that China has been leading the global greening trend in the
past 2 decades. We assessed the impact of land cover change as well as climate variability …

Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration

Q **ng, J Wang, H Jiang, K Wang - Expert Systems with Applications, 2023 - Elsevier
Hazy weather seriously threatens human health, providing accurate and reliable air
pollutant concentration forecast will be of great scientific value and benefit to residents' …

Residual neural network with spatiotemporal attention integrated with temporal self-attention based on long short-term memory network for air pollutant concentration …

D Li, J Wang, D Tian, C Chen, X **ao, L Wang… - Atmospheric …, 2024 - Elsevier
Accurate prediction of air pollutant concentrations can be effective in controlling and
preventing air pollution, which is crucial for both the government's policy response and the …

Modelling air quality during the EXPLORE-YRD campaign–Part I. Model performance evaluation and impacts of meteorological inputs and grid resolutions

X Wang, L Li, K Gong, J Mao, J Hu, J Li, Z Liu… - Atmospheric …, 2021 - Elsevier
The EXPeriment on the eLucidation of the atmospheric Oxidation capacity and aerosol
foRmation and their Effects in the Yangtze River Delta (EXPLORE-YRD) campaign was …

[HTML][HTML] Variation and dispersal of PM10 and PM2. 5 during COVID-19 lockdown over Kolkata metropolitan city, India investigated through HYSPLIT model

B Bera, S Bhattacharjee, N Sengupta, S Saha - Geoscience Frontiers, 2022 - Elsevier
The higher concentration of PM 10 and PM 2.5 in the lower atmosphere is severely harmful
for human health and it also makes visibility diminution along with weather and climate …