Dr. Yang Liu

Yang Liu is an associate professor in Emory University’s Rollins School of Public Health. Liu’s research interests include the application of satellite remote sensing in air pollution exposure modeling and health effects studies at urban to national scales as well as the potential impacts of global climate change on public health.

Yang’s HAQAST work proposes translate research knowledge to our public health partners in two projects.

1. First, building on our long-standing collaboration with CDC’s Environmental Public Health Tracking Network (Tracking Network), we will conduct a national scale epidemiological study to link age-specific county-level daily counts of emergency department (ED) visits with fused air pollution exposure estimates from satellite observations, model simulations and EPA ground measurements to demonstrate an important application of Tracking’s environmental health surveillance data.
2. Second, partnering with the Colorado Department of Public Health and Environment (CDPHE), we will conduct a multi-year time-series epidemiological study to evaluate the health impact of air pollution levels elevated by wildfires in Colorado.

In addition, he contributes to the following Tiger Teams:

• Using Satellite Remote Sensing to Derive Global Climate and Air Pollution Indicators, led by Susan Anenberg.
• Demonstration of the Efficacy of Environmental Regulations in the Eastern US, led by Bryan Duncan and Jason West.
• High Resolution Paticulate Matter Data for Improved Satellite-Based Assessments of Community Health, led by Patrick Kinney.

HAQAST Presentations

Using Earth Observations to Support Regional and National Environmental Health Surveillance

Using Earth Observations to Support Regional and National Environmental Health Surveillance

Overcoming Barriers in Applying Satellite-Derived PM2.5 to Health

Integrating Satellite and Ground Data for PM2.5 Exposure and Health Impact Assessment

Publications

2020

Satellite-based estimation of hourly PM_2.5 levels during heavy winter pollution episodes in the Yangtze River Delta, China

Keyong Huang, Jianzhao Bi, XiaMeng, Guannan Geng, Alexei Lyapustin, Kevin J. Lane, Dongfeng Gu, Patrick L. Kinney, Yang Liu, Chemosphere

2019

Estimating daily PM_2.5 concentrations in New York City at the neighborhood-scale: Implications for integrating non-regulatory measurements

Keyong Huang, Jianzhao Bi, Xia Meng, Guannan Geng, Alexei Lyapustin, Kevin J. Lane, Dongfeng Gu, Patrick L. Kinney, Yang Liu

 

Compilation and spatio-temporal analysis of publicly available total solar and UV irradiance data in the contiguous United States

Ying Zhou, Xia Meng, Jessica Hartmann Belle, Huanxin Zhang, Caitlin Kennedy, Mohammad Z. Al-Hamdan, Jun Wang, Yang Liu, Envionrmental Pollution

 

Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment

Yufei Zou, Susan M. O’Neill, Narasimhan K. Larkin, Ernesto C. Alvarado, Robert Solomon, Clifford Mass , Yang Liu, M. Talat Odman, and Huizhong Shen, International Journal of Environmental Resources and Public Health

2017

Estimating PM_2.5 Concentrations in the Conterminous United States Using the Random Forest Approach

Xuefei Hu, Jessica H. Belle, Xia Meng, Avani Wildani, Lance A. Waller, Matthew J. Strickland, Yang Liu, Environmental Science and Technology

 

 

The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM_2.5 Mass and Composition

Jessica H. Belle, Howard H. Chang, Yujie Wang, Xuefei Hu, Alexei Lyapustin, Yang Liu, International Journal of Environmental Research and Public Health

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