Projects per year
Personal profile
Personal profile
Atmospheric science is my research passion. Throughout over a decade of study and work in this interesting area, I've gained rich experiences in various sub-branches of atmospheric science. My expertise lies in atmospheric environment studies by computational methods. For example, I develop and apply 3-dimensional atmospheric chemical transport models to investigate the sources, transport, and physio-chemical processes of air pollutants. Currently, I'm interested in the impact of extreme climate on air quality, health, and ecosystem. I also have a keen interest in data science and AI. I love coding and try to apply statistical tools (including machine learning) to my environmental science research. If you are interested in potential research collaborations, pursuing postgraduate studies, or seeking an undergraduate internship with me, please do not hesitate to reach out.
Research interests
Impact of extreme climate on air quality, health, and ecosystem.
Sources, transport, and physio-chemical processes of air pollutants and greenhouse gases.
Machine learning, deep learning, and other statistical tools in environmental science applications.
Experience
Assistant Professor, Xi’an Jiaotong-Liverpool University, 2023 - present
Scientist (permanent position), Norwegian Meteorological Institute - 2019-2023
Postdoc, Swiss Federal Laboratories for Materials Science and Technology (Empa) - 2018-2019
Teaching
Student Supervision
Master student: Shiwen Shao (2024, supervisor)
FYP: Nan Rao (2023, co-supervisor), Xinyu Chen (2024, supervisor)
Module Teaching
ENV319 Humans and Environmental Pollution (AY23-24, AY24-25, Module Leader)
ENV316 Environmental Engineering (AY22-23, Module Leader, Module Developer)
ENV221 Introductory Statistics for Environmental Scientists (AY22-23, co-teach)
ENV301 Final Year Project (AY22-23, AY23-24, Supervisor)
Awards and honours
Member of Jiangsu Provincial Association for International Science and Technology Development, 2024 -
Guest Editor for the journal "Sustainability", 2024
Reviewer for the journal "Atmospheric Chemistry and Physics", "Geoscientific Model Development", etc.
Chinese Government Award for Outstanding Self-financed Students Abroad, 2018
Max Planck Society full PhD scholarship, 2014
Nanjing University Graduate with Honor, 2011
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Atmospheric Science, Max Planck Institute for Chemistry
Award Date: 30 Apr 2018
Master, Atmospheric Physics and Atmospheric Environment, Institute of Atmospheric Physics, Chinese Academy of Sciences
Award Date: 30 Jun 2014
Bachelor, Atmospheric Sciences, Nanjing University
Award Date: 30 Jun 2011
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Establish a numerical modeling system for birch pollen in China
1/01/24 → 31/12/26
Project: Internal Research Project
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In-depth Study on the Relationship between Atmospheric Pollutant Components and Clinical Classification of Lung Cancer
1/08/23 → 31/07/24
Project: Governmental Research Project
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DNN model reveals sharp decline in PM2.5 concentration in the Yangtze River Delta during COVID-19 lockdown and lift lockdown
Borjigen, S., Zhang, F., Zha, Y., Shao, M., Wang, S. Y. & Mu, Q., 24 Jul 2024, In: Geomatics, Natural Hazards and Risk. 15, 1, 2378186.Research output: Contribution to journal › Article › peer-review
Open Access -
Spatiotemporal joint analysis of PM2.5 and Ozone in California with INLA approach
Pan, J., He, K., Wang, K., Mu, Q. & Ling, C., 8 Jun 2024, In: Journal of Environmental Management. 363, 121294.Research output: Contribution to journal › Article › peer-review
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The Importance of Local Thermal Circulations in PM2.5 Formation in a River Valley: A Case Study From the Lower Yangtze River, China
Shao, M., Liu, X., Lv, S., Dai, Q. & Mu, Q., 28 Jan 2024, In: Journal of Geophysical Research: Atmospheres. 129, 2, e2023JD039717.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies
Bessagnet, B., Cuvelier, K., de Meij, A., Monteiro, A., Pisoni, E., Thunis, P., Violaris, A., Kushta, J., Denby, B. R., Mu, Q., Wærsted, E. G., Vivanco, M. G., Theobald, M. R., Gil, V., Sokhi, R. S., Momoh, K., Alyuz, U., Vpm, R., Kumar, S., Bossioli, E., & 13 others , 26 Dec 2023, In: Air Quality, Atmosphere and Health.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Forecasting PM2.5 Concentrations with uEMEP and EMEP4PL for Poland
Kryza, M., Werner, M., Denby, B. R., Mu, Q., Sawiński, T. & Remut, A., 2 Jan 2023, Air Pollution Modeling and its Application XXVIII. Mensink, C. & Jorba, O. (eds.). Springer Science and Business Media B.V., p. 193-197 5 p. (Springer Proceedings in Complexity).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Heatwave impact on air pollutants (tentative topic)
Qing Mu (Supervisor)
1 Sept 2024 → 31 Aug 2026Activity: Supervision › Master Dissertation Supervision
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Field trip to Yushu, Qinghai–Tibet Plateau
Qing Mu (Participant)
26 Jun 2024 → 5 Jul 2024Activity: Other
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AI application in atmospheric science
Qing Mu (Speaker)
24 Jun 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Review of numerical models for airborne pollen and relevant data collection from literature
Qing Mu (Supervisor)
17 Jun 2024 → 30 Aug 2024Activity: Supervision › Completed SURF Project
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Jiangsu Provincial Association for International Science and Technology Development (External organisation)
Qing Mu (Member)
1 Jun 2024 → 1 Jun 2025Activity: Membership › other membership