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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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portfolio
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publications
Aerosols in an arid environment: The role of aerosol water content, particulate acidity, precursors, and relative humidity on secondary inorganic aerosols
Published in Science of The Total Environment, 2019
This study demonstrated that aerosol water content and particulate acidity were positively associated with secondary SO4, while NO2 and RH had a significant impact on secondary NO3 in an arid atmosphere. The findings explain the relationship between gaseous precursors, relative humidity, aerosol pH and temperature in the arid city of Hohhot.
Recommended citation: Wang, H., Ding, J., Xu, J., Wen, J., Han, J., Wang, K., ... & Russell, A. G. (2019). Aerosols in an arid environment: The role of aerosol water content, particulate acidity, precursors, and relative humidity on secondary inorganic aerosols. Science of the Total Environment, 646, 564-572. http://qianyuzhao.github.io/files/aerosol_arid_env.pdf
High-Resolution Data Sets Unravel the Effects of Sources and Meteorological Conditions on Nitrate and Its Gas-Particle Partitioning
Published in Environmental Science & Technology, 2019
The findings of this work provide an effective approach for exploring the formation mechanisms of nitrate under different influencing factors.
Recommended citation: Shi, X., Nenes, A., Xiao, Z., Song, S., Yu, H., Shi, G., ... & Russell, A. G. (2019). High-resolution data sets unravel the effects of sources and meteorological conditions on nitrate and its gas-particle partitioning. Environmental science & technology, 53(6), 3048-3057. http://qianyuzhao.github.io/files/NO3_paper.pdf
Aerosol pH Dynamics During Haze Periods in an Urban Environment in China: Use of Detailed, Hourly, Speciated Observations to Study the Role of Ammonia Availability and Secondary Aerosol Formation and Urban Environment
Published in Journal 1, 2019
In this study, we found high acidy (pH < 3), light pollution (total water soluble ions < 30 μg/m3), and low water content (less than 5 μg/m3) were more correlated with higher rates of sulfate formation than nitrate formation in the winter.
Recommended citation: Shi, G., Xu, J., Shi, X., Liu, B., Bi, X., Xiao, Z., ... & Russell, A. G. (2019). Aerosol pH dynamics during haze periods in an urban environment in China: Use of detailed, hourly, speciated observations to study the role of ammonia availability and secondary aerosol formation and urban environment. Journal of Geophysical Research: Atmospheres, 124(16), 9730-9742. http://qianyuzhao.github.io/files/aerosol_ph_dynamics.pdf
Using High-Temporal-Resolution Ambient Data to Investigate Gas-Particle Partitioning of Ammonium over Different Seasons
Published in Environmental Science & Technology, 2020
This paper is about gas-particle partitioning of ammonia in the inorganic aerosols. It is the first time that we created the joint source-NH3/HNO3 maps to integrate sources, aerosol pH and liquid water content, and ions (altogether in one map), which can provide useful information for designing effective strategies to control particulate matter pollution.
Recommended citation: Zhao, Q., Nenes, A., Yu, H., Song, S., Xiao, Z., Chen, K., ... & Russell, A. G. (2020). Using High-Temporal-Resolution Ambient Data to Investigate Gas-Particle Partitioning of Ammonium over Different Seasons. Environmental Science & Technology, 54(16), 9834-9843. http://qianyuzhao.github.io/files/NH4paper.pdf
Aboveground Storage Tank Detection Using Faster R-CNN and High-Resolution Aerial Imagery
Published in Master Dissertation, 2021
In this study, an effort was made to locate aboveground storage tanks from remotely sensed imagery. A dataset that identifies different types of tanks was generated.
Recommended citation: Zhao, Q. (2021). Aboveground Storage Tank Detection Using Faster R-CNN and High-Resolution Aerial Imagery (Master dissertation, Duke University). http://qianyuzhao.github.io/files/AST_detection.pdf
talks
Forecasting Alpha Return from 8-K reports via deep learning
Published:
In this study, we propose a novel machine learning approach with dimension reduction stacking to forecast the stock returns of the SP 500 companies by min-ing their SEC 8K reports via different NLP techniques. The proposed method achieves better forecasting performance than the peer methods and can be used as a concrete technology in security return analysis in practice.
teaching
Environmental Chemistry Laboratory
Undergraduate course, Baylor University, Department of Environmental Science, 2021
This course is an introduction to experimental, field sampling and analytical methods in environmental chemistry. Emphasis on separation and detection of both organic and inorganic compounds in soil, water and air via spectrometric, colorometric, chromatographic, and fluorometric instrumentation.
Introduction to Environmental Studies Laboratory
Undergraduate course, Baylor University, Department of Environmental Science, 2022
This course is to expose students to concepts of scientific sampling, data analysis and presentation and introduce students to basic envrionmental sampling techniques.