Insight into Secondary Inorganic Aerosol (SIA) production enhanced by domestic ozone using a machine learning technique

Secondary aerosol formation drives atmospheric particulate matter pollution over megacities (Beijing and Seoul) in East Asia

(2023) Yanting Qiu et al.   ATMOSPHERIC ENVIRONMENT

Source-apportionment and spatial distribution analysis of VOCs and their role in ozone formation using machine learning in central-west Taiwan

(2023) Manisha Mishra et al.   ENVIRONMENTAL RESEARCH

Sources-oriented contributions to ozone and secondary organic aerosol formation potential based on initial VOCs in an urban area of Eastern Asia

(2023) Zih-Wun Chen et al.   Science of The Total Environment

Changing Emissions Results in Changed PM2.5 Composition and Health Impacts

(2022) Philip K. Hopke et al.   Atmosphere

Ground-level ozone pollution in China: a synthesis of recent findings on influencing factors and impacts

(2022) Tao Wang et al.   Environmental Research Letters

Chang impact analysis of level 3 COVID-19 alert on air pollution indicators using artificial neural network

(2022) Guan-Yu Lin et al.   Ecological Informatics

Spatial-temporal characterization of air pollutants using a hybrid deep learning/Kriging model incorporated with a weather normalization technique

(2022) Guan-Yu Lin et al.   ATMOSPHERIC ENVIRONMENT

Separately resolving NOx and VOC contributions to ozone formation

(2022) Yusheng Zhao et al.   ATMOSPHERIC ENVIRONMENT

How a winding-down oil refinery park impacts air quality nearby?

(2022) Chin-Yu Hsu et al.   ENVIRONMENT INTERNATIONAL

Secondary inorganic aerosol chemistry and its impact on atmospheric visibility over an ammonia-rich urban area in Central Taiwan

(2022) Li-Hao Young et al.   ENVIRONMENTAL POLLUTION

Using a Land Use Regression Model with Machine Learning to Estimate Ground Level PM2.5

(2021) Pei-Yi Wong et al.   ENVIRONMENTAL POLLUTION

Chronic Exposure to PM2.5 Nitrate, Sulfate, and Ammonium Causes Respiratory System Impairments in Mice

(2021) Jushan Zhang et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Integrated analysis of source-specific risks for PM2.5-bound metals in urban, suburban, rural, and industrial areas

(2021) Chin-Yu Hsu et al.   ENVIRONMENTAL POLLUTION

Effects of ozone and relative humidity in secondary inorganic aerosol formation during haze events in Beijing, China

(2021) Pengkun Ma et al.   ATMOSPHERIC RESEARCH

Taiwan ozone trend in response to reduced domestic precursors and perennial transboundary influence

(2021) Sheng-Po Chen et al.   ENVIRONMENTAL POLLUTION

Characterization of temporal PM2.5, nitrate, and sulfate using deep learning techniques

(2021) Guan-Yu Lin et al.   Atmospheric Pollution Research

Handling missing data in near real-time environmental monitoring: A system and a review of selected methods

(2021) Yifan Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

VOC characteristics and sources at nine photochemical assessment monitoring stations in western Taiwan

(2020) Yu Shan Huang et al.   ATMOSPHERIC ENVIRONMENT

Wintertime Particulate Matter Decrease Buffered by Unfavorable Chemical Processes Despite Emissions Reductions in China

(2020) Danny M. Leung et al.   GEOPHYSICAL RESEARCH LETTERS

High temporal resolution prediction of street-level PM2.5 and NOx concentrations using machine learning approach

(2020) Zhiyuan Li et al.   JOURNAL OF CLEANER PRODUCTION

The complex chemical effects of COVID-19 shutdowns on air quality

(2020) Jesse H. Kroll et al.   Nature Chemistry

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

(2020) Fi-John Chang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Amplified ozone pollution in cities during the COVID-19 lockdown

(2020) Pierre Sicard et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Ambient volatile organic compound presence in the highly urbanized city: source apportionment and emission position

(2019) Yu Shan Huang et al.   ATMOSPHERIC ENVIRONMENT

An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

(2019) Qian Di et al.   ENVIRONMENT INTERNATIONAL

Assessing NO2 Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging

(2019) Qian Di et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Evaluating the impact of land uses on stream integrity using machine learning algorithms

(2019) Subhasis Giri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation

(2018) Zina Boussaada et al.   Energies

Long-term (2005–2015) trend analysis of PM2.5 precursor gas NO2 and SO2 concentrations in Taiwan

(2018) Chih-Sheng Lee et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Predicting PM 10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)

(2018) Sechan Park et al.   JOURNAL OF HAZARDOUS MATERIALS

Performance comparison of two global solar radiation models for spatial interpolation purposes

(2018) I. Loghmari et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Chemical composition and sources of PM 1 and PM 2.5 in Beijing in autumn

(2018) Yanyun Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations

(2018) Peer Johannes Nowack et al.   Environmental Research Letters

Sources and Secondary Production of Organic Aerosols in the Northeastern United States during WINTER

(2018) J. C. Schroder et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Space-time trends of PM2.5 constituents in the conterminous United States estimated by a machine learning approach, 2005–2015

(2018) Xia Meng et al.   ENVIRONMENT INTERNATIONAL

Research on prediction of environmental aerosol and PM2.5 based on artificial neural network

(2018) Xianghong Wang et al.   NEURAL COMPUTING & APPLICATIONS

Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction

(2018) Jiachen Zhao et al.   CHEMOSPHERE

Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation

(2017) Xiang Li et al.   ENVIRONMENTAL POLLUTION

Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

(2017) Aaron J Cohen et al.   LANCET

Recursive neural network model for analysis and forecast of PM10 and PM2.5

(2017) Fabio Biancofiore et al.   Atmospheric Pollution Research

An Improved Method for Monitoring Fine Particulate Matter Mass Concentrations via Satellite Remote Sensing

(2016) Hamed Karimian et al.   Aerosol and Air Quality Research

Source apportionment advances using polar plots of bivariate correlation and regression statistics

(2016) Stuart K. Grange et al.   ATMOSPHERIC ENVIRONMENT

Chemical composition, sources and evolution processes of aerosol at an urban site in Yangtze River Delta, China during wintertime

(2015) Yunjiang Zhang et al.   ATMOSPHERIC ENVIRONMENT

Spatiotemporal Prediction of Fine Particulate Matter During the 2008 Northern California Wildfires Using Machine Learning

(2015) Colleen E. Reid et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Analysis of surface ozone using a recurrent neural network

(2015) Fabio Biancofiore et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Characterising and understanding emission sources using bivariate polar plots and k-means clustering

(2012) David C. Carslaw et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Evolution of Organic Aerosols in the Atmosphere

(2009) J. L. Jimenez et al.   SCIENCE

A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile

(2008) Luis A. Díaz-Robles et al.   ATMOSPHERIC ENVIRONMENT