Category: Papers

Zhang et al.: Wildland Fires Worsened Population Exposure to PM2.5 Pollution in the Contiguous United States

Danlu Zhang November 21, 2023 0 Comments
Danlu Zhang, Wenhao Wang, Yuzhi Xi, Jianzhao Bi, Yun Hang, Qingyang Zhu, Qiang Pu, Howard Chang, and Yang Liu (2023). Wildland Fires Worsened Population Exposure to PM2.5 Pollution in the Contiguous United States. Environmental Science & Technology Article ASAP Science Direct: link As wildland fires become more frequent and intense, fire smoke has significantly worsened the ambient air...

Gupta et al.: Boosting for regression transfer via importance sampling

Yang Liu PhD July 28, 2023 0 Comments
Gupta S, Bi J, Liu Y, Wildani A. 2023. Boosting for regression transfer via importance sampling. Int J Data Sci Anal. https://doi.org/10.1007/s41060-023-00414-8. Instance transfer learning methodologies are extremely efficient for continuous-valued, regression datasets. However, these methodologies can suffer negative transfer due to distribution shifts between the training and test data as well...

Huang et al.: Satellite-Based Long-Term Spatiotemporal Trends in Ambient NO2 Concentrations and Attributable Health Burdens in China From 2005 to 2020.

Wenhao Wang May 17, 2023 0 Comments
Keyong Huang, Qingyang Zhu, Xiangfeng Lu, Dongfeng Gu, Yang Liu. (2023). Satellite-Based Long-Term Spatiotemporal Trends in Ambient NO2 Concentrations and Attributable Health Burdens in China From 2005 to 2020. GeoHealth, 2023, 7(5): e2023GH000798. doi: 10.1029/2023GH000798.   Read online:...

Meng and Hang et al.: A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China

Yun Hang January 18, 2023 0 Comments
Meng, X., Hang, Y., Lin, X., Li, T., Wang, T., Cao, J., Fu, Q., Dey, S., Huang, K., Liang, F. and Kan, H., 2023. A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China. Environment International, p.107740. Science Direct: Link Ambient fine particulate matter (PM2.5) pollution is a major environmental and public health challenge...

Pruthi, D., Liu, Y.: Low-cost nature-inspired deep learning system for PM2.5 forecast over Delhi

Dimple Pruthi July 12, 2022 0 Comments
Pruthi, D., Liu, Y. (2022). Low-cost nature-inspired deep learning system for PM2.5 forecast over Delhi, India. Environment International,166, 107373. Science Direct Link Air quality models are crucial tools for surveying and projecting air pollution episodes, which can be used to issue health advisories to act ahead of time. Short-term increases in air pollution trigger many adverse health...

Vu et al.: Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California

Bryan March 14, 2022 0 Comments
Vu, B.N., Bi, J., Wang, W., Huff, A., Kondragunta, S., Liu, Y. (2022). Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California. Remote Sensing of Environment, 271, 112890. Science Direct: Link Particulate matter from wildland fire smoke can traverse hundreds of kilometers from where they originated...

Bi et al.: Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast

Yang Liu PhD January 13, 2022 0 Comments
Forecasting ambient PM2.5 concentrations with spatiotemporal coverage is key to alerting decision makers of pollution episodes and preventing detrimental public exposure. In this study, we developed a PM2.5 forecast framework by combining the robust Random Forest algorithm with a publicly accessible global CTM forecast product, NASA’s Goddard Earth Observing System “Composition...

Stowell et al.: Asthma exacerbation due to climate change-induced wildfire smoke in the Western US

Yang Liu PhD January 10, 2022 0 Comments
Climate change and human activities have drastically altered the natural wildfire balance in the Western US and increased population health risks due to exposure to pollutants from fire smoke. Using dynamically downscaled climate model projections, we estimated additional asthma emergency room visits and hospitalizations due to exposure to smoke fine particulate matter (PM2.5) in the Western US...

Wang et al.: A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology

Wenhao Wang October 5, 2021 0 Comments
Wenhao Wang, Xiong Liu, Jianzhao Bi, Yang Liu, A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology, Environment International, Volume 158, 2022, 106917https://doi.org/10.1016/j.envint.2021.106917 Abstract: Estimating ground-level ozone concentrations is crucial to study the adverse health effects of ozone...

Zhang et al.: A machine learning model to estimate ambient PM2.5 concentrations in industrialized highveld region of South Africa

Danlu Zhang September 29, 2021 0 Comments
Danlu Zhang, Linlin Du, Wenhao Wang, Qingyang Zhu, Jianzhao Bi, Noah Scovronick, Mogesh Naidoo, Rebecca M. Garland, Yang Liu. (2021). A machine learning model to estimate ambient PM2.5 concentrations in industrialized highveld region of South Africa. Remote Sensing of Environment, 266, 112713. Elsevier: Link Exposure to fine particulate matter (PM2.5) has been linked to a substantial...