Short-term PM2.5 forecasting based on CEEMD-RF in five cities of China

An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting

(2019) Yun Bai et al.   CHEMOSPHERE

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

(2019) Yanlin Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Global Association of Air Pollution and Cardiorespiratory Diseases: A Systematic Review, Meta-Analysis, and Investigation of Modifier Variables

(2018) Weeberb J. Requia et al.   AMERICAN JOURNAL OF PUBLIC HEALTH

Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region

(2018) Dan Yan et al.   ATMOSPHERIC ENVIRONMENT

Predicting monthly high-resolution PM 2.5 concentrations with random forest model in the North China Plain

(2018) Keyong Huang et al.   ENVIRONMENTAL POLLUTION

Examining the effects of socioeconomic development on fine particulate matter (PM 2.5 ) in China's cities using spatial regression and the geographical detector technique

(2018) Chunshan Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Trans-boundary air pollution in a city under various atmospheric conditions

(2018) Ming Luo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information

(2018) Gongbo Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Cleaner fuels for ships provide public health benefits with climate tradeoffs

(2018) Mikhail Sofiev et al.   Nature Communications

Discovering relationships and forecasting PM 10 and PM 2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering

(2018) Fabiana Franceschi et al.   Atmospheric Pollution Research

A secondary-decomposition-ensemble learning paradigm for forecasting PM 2.5 concentration

(2018) Kai Gan et al.   Atmospheric Pollution Research

Improving the Accuracy and Efficiency of PM2.5 Forecast Service Using Cluster-Based Hybrid Neural Network Model

(2018) Sachit Mahajan et al.   IEEE Access

Trend analysis and forecast of PM2.5 in Fuzhou, China using the ARIMA model

(2018) Lanyi Zhang et al.   ECOLOGICAL INDICATORS

Short-Term PM2.5 Forecasting Using Exponential Smoothing Method: A Comparative Analysis

(2018) Sachit Mahajan et al.   SENSORS

Monthly Load Forecasting Based on Economic Data by Decomposition Integration Theory

(2018) Da Liu et al.   Sustainability

Effect of PM2.5 environmental pollution on rat lung

(2018) Biao Yang et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Exposure to ambient PM2.5 during pregnancy and preterm birth in metropolitan areas of the state of Georgia

(2018) Jianmin Zhu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Estimating PM2.5 concentration from satellite derived aerosol optical depth and meteorological variables using a combination model

(2018) Asha B. Chelani   Atmospheric Pollution Research

Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model

(2018) Lifeng Guo et al.   Atmosphere

A novel model for hourly PM2.5 concentration prediction based on CART and EELM

(2018) Zhigen Shang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multi-output support vector machine for regional multi-step-ahead PM2.5 forecasting

(2018) Yanlai Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Hybrid algorithm for short-term forecasting of PM2.5 in China

(2018) Yong Cheng et al.   ATMOSPHERIC ENVIRONMENT

Influences of wind and precipitation on different-sized particulate matter concentrations (PM2.5, PM10, PM2.5–10)

(2017) Boen Zhang et al.   METEOROLOGY AND ATMOSPHERIC PHYSICS

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

(2017) Fabio Biancofiore et al.   Atmospheric Pollution Research

A novel hybrid-Garch model based on ARIMA and SVM for PM 2.5 concentrations forecasting

(2017) Ping Wang et al.   Atmospheric Pollution Research

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

Air pollutant emissions from Chinese households: A major and underappreciated ambient pollution source

(2016) Jun Liu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China

(2016) Shaojian Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

(2016) Yun Bai et al.   Atmospheric Pollution Research

PM2.5data reliability, consistency, and air quality assessment in five Chinese cities

(2016) Xuan Liang et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation

(2015) Xiao Feng et al.   ATMOSPHERIC ENVIRONMENT

Development of human health damage factors for PM2.5 based on a global chemical transport model

(2015) Longlong Tang et al.   INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations

(2010) W. Geoffrey Cobourn   ATMOSPHERIC ENVIRONMENT

Robust smoothing of gridded data in one and higher dimensions with missing values

(2009) Damien Garcia   COMPUTATIONAL STATISTICS & DATA ANALYSIS