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Qili Dai

Associate Professor

Nankai University

China

Research Interests

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Articles (17)

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2026

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2023

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2023

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2023

Collaborators (6)

Baoshuang Liu

Associate professor

Nankai University

CHINA

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Sascha Usenko

Associate Professor

Baylor University

UNITED STATES

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Robert Elliott

University of Birmingham

UNITED KINGDOM

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Shaojie Song

Nankai University

CHINA

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Sujan Shrestha

Assistant Professor of Atmospheric Physics

Appalachian State University

UNITED STATES

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Qing Mu

Assistant Professor

Xi’an Jiaotong-Liverpool University

CHINA

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Qili Dai

Research Interests

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Articles (17)

Climate-Driven Amplification of Natural Crustal Dust Emission in China: A Quantitative Assessment for Mid-21st Century Scenarios

Evaluating Hangzhou’s urgent source-specific regulatory policies for the 2024 New Year haze: A receptor model and machine learning approach

Improving imputation of missing PM2.5 speciation data using PMF-informed source-receptor relationships

A Double Machine Learning Approach for Policy Evaluation Using Meteorologically Fixed Air Pollutant Time Series as an Emission Proxy

Impact of the Chinese Spring Festival on PM2.5 air quality in the Beijing-Tianjin-Hebei and surrounding region: a machine learning-based counterfactual modeling approach

PMF Source Contribution Uncertainty Estimation via Effective Variance Least Squares

AI-based Bayesian structural time series modeling for assessing PM2.5 air quality improvements during the Beijing 2022 Winter Olympics

Advancing Source Apportionment of Atmospheric Particles: Integrating Morphology, Size, and Chemistry Using Electron Microscopy Technology and Machine Learning

Airmass history, night-time particulate organonitrates, and meteorology impact urban SOA formation rate

The Importance of Local Thermal Circulations in PM<sub>2.5</sub> Formation in a River Valley: A Case Study From the Lower Yangtze River, China

Review of source analyses of ambient volatile organic compounds considering reactive losses: methods of reducing loss effects, impacts of losses, and sources

Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data

Differentiating Periodic Drivers of Air Quality Changes: A Two‐Step Decomposition Approach Integrating Machine Learning and Wavelet Analysis

Attribution of Air Quality Benefits to Clean Winter Heating Polices in China: Combining Machine Learning with Causal Inference

The effect of emission source chemical profiles on simulated PM<sub>2.5</sub> components: sensitivity analysis with the Community Multiscale Air Quality (CMAQ) modeling system version 5.0.2

Measuring the emission changes and meteorological dependence of source‐specific BC aerosol using factor analysis coupled with machine learning

Trends of source apportioned PM2.5 in Tianjin over 2013–2019: Impacts of Clean Air Actions

Collaborators (6)

Baoshuang Liu

Sascha Usenko

Robert Elliott

Shaojie Song

Sujan Shrestha

Qing Mu

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