Historically understanding the spatial distributions of particle surface area concentrations over China estimated using a non-parametric machine learning method

Revealing Drivers of Haze Pollution by Explainable Machine Learning

(2022) Linlu Hou et al.   Environmental Science & Technology Letters

High-resolution estimation of ambient sulfate concentration over Taiwan Island using a novel ensemble machine-learning model

(2021) Lulu Cui et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

New particle formation in the remote marine boundary layer

(2021) Guangjie Zheng et al.   Nature Communications

More significant impacts from new particle formation on haze formation during COVID‐19 lockdown

(2021) Lizi Tang et al.   GEOPHYSICAL RESEARCH LETTERS

Mapping the daily nitrous acid (HONO) concentrations across China during 2006–2017 through ensemble machine-learning algorithm

(2021) Lulu Cui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A machine learning model for predicting PM2.5 and nitrate concentrations based on long-term water-soluble inorganic salts datasets at a road site station

(2021) Guan-Yu Lin et al.   CHEMOSPHERE

Research and Application of Segmented Acid Fracturing by Temporary Plugging in Ultradeep Carbonate Reservoirs

(2021) Yang Wang et al.   ACS Omega

No Evidence for a Significant Impact of Heterogeneous Chemistry on Radical Concentrations in the North China Plain in Summer 2014

(2020) Zhaofeng Tan et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

The trend of surface ozone in Beijing from 2013 to 2019: Indications of the persisting strong atmospheric oxidation capacity

(2020) Shiyi Chen et al.   ATMOSPHERIC ENVIRONMENT

Air Pollutant Correlations in China: Secondary Air Pollutant Responses to NOx and SO2 Control

(2020) Biwu Chu et al.   Environmental Science & Technology Letters

Satellite-Based Estimates of Wet Ammonium (NH4-N) Deposition Fluxes Across China during 2011–2016 Using a Space–Time Ensemble Model

(2020) Rui Li et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Comparison of Six Machine Learning Methods for Estimating PM2.5 Concentration Using the Himawari-8 Aerosol Optical Depth

(2020) Xin Zuo et al.   Journal of the Indian Society of Remote Sensing

Estimating PM2.5 with high-resolution 1-km AOD data and an improved machine learning model over Shenzhen, China

(2020) Wenqian Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating Submicron Aerosol Mixing State at the Global Scale with Machine Learning and Earth System Modeling

(2020) Zhonghua Zheng et al.   Earth and Space Science

Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China

(2019) Ke Li et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Ammonia emission control in China would mitigate haze pollution and nitrogen deposition, but worsen acid rain

(2019) Mingxu Liu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Increasing importance of nitrate formation for heavy aerosol pollution in two megacities in Sichuan Basin, southwest China

(2019) Mi Tian et al.   ENVIRONMENTAL POLLUTION

Calculating ambient aerosol surface area concentrations using aerosol light scattering enhancement measurements

(2019) Ye Kuang et al.   ATMOSPHERIC ENVIRONMENT

A two-pollutant strategy for improving ozone and particulate air quality in China

(2019) Ke Li et al.   Nature Geoscience

Source apportionment of particle number size distribution in urban background and traffic stations in four European cities

(2019) Ioar Rivas et al.   ENVIRONMENT INTERNATIONAL

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

Agricultural Fire Impacts on Ozone Photochemistry Over the Yangtze River Delta Region, East China

(2018) Mengmeng Li et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2.5

(2018) Yongming Xu et al.   ENVIRONMENTAL POLLUTION

Severe Surface Ozone Pollution in China: A Global Perspective

(2018) Xiao Lu et al.   Environmental Science & Technology Letters

Incorporating wind availability into land use regression modelling of air quality in mountainous high-density urban environment

(2017) Yuan Shi et al.   ENVIRONMENTAL RESEARCH

Submicrometer Particles Are in the Liquid State during Heavy Haze Episodes in the Urban Atmosphere of Beijing, China

(2017) Yuechen Liu et al.   Environmental Science & Technology Letters

Number–size distribution of aerosol particles and new particle formation events in tropical and subtropical Pacific Oceans

(2016) S. Ueda et al.   ATMOSPHERIC ENVIRONMENT

Satellite Based Mapping of Ground PM2.5 Concentration Using Generalized Additive Modeling

(2016) Bin Zou et al.   Remote Sensing

Implications of RCP emissions on future PM2.5 air quality and direct radiative forcing over China

(2016) Ke Li et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Dragon kings of the deep sea: marine particles deviate markedly from the common number-size spectrum

(2016) Alexander B. Bochdansky et al.   Scientific Reports

Heterogeneous Photochemistry in the Atmosphere

(2015) Christian George et al.   CHEMICAL REVIEWS

Source attribution of particulate matter pollution over North China with the adjoint method

(2015) Lin Zhang et al.   Environmental Research Letters

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

(2015) Peijun Du et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Air Pollution in China: Mapping of Concentrations and Sources

(2015) Robert A. Rohde et al.   PLoS One

Impacts of aerosols on surface-layer ozone concentrations in China through heterogeneous reactions and changes in photolysis rates

(2013) Sijia Lou et al.   ATMOSPHERIC ENVIRONMENT

Toward Developing A New Occupational Exposure Metric Approach for Characterization of Diesel Aerosols

(2012) Emanuele G. Cauda et al.   AEROSOL SCIENCE AND TECHNOLOGY

Oil spill feature selection and classification using decision tree forest on SAR image data

(2012) Konstantinos Topouzelis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Nanoparticles in the Atmosphere

(2009) P. R. Buseck et al.   Elements

Reactive Uptake of N2O5by Aerosols Containing Dicarboxylic Acids. Effect of Particle Phase, Composition, and Nitrate Content

(2009) Paul T. Griffiths et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Aerosol number size distribution and new particle formation at a rural/coastal site in Pearl River Delta (PRD) of China

(2008) Shang Liu et al.   ATMOSPHERIC ENVIRONMENT