本系職員
陸興成教授
Assistant Professor
BSc (SYSU)
MSc (Northwestern)
PhD (HKUST)
(852) 3943-6639
xclu@cuhk.edu.hk 浏览個人網頁 >RESEARCH PROJECTS
On-going:
RGC Theme-based Research Scheme: “Chemical Weather Observations of Carbon Chemistry in Greater Bay Area.”, 2026.01-2030.12, Co-PI
RGC Early Career Scheme: “Improvement of the Hourly NOx and CO Emission Estimations for More Reliable Spatiotemporal Source Apportionment Across Southern China.”, 2026.01-2028.12, PI
Innovation and Technology Fund (Aerospace Technology): “Integration of Carbon Satellite Remote Sensing and Modeling for High-Accuracy Greenhouse Gas Monitoring and Source Identification.”, 2025.06-2028.05, Co-PI
RGC Young Collaborative Research Grant: “Marine emissions of volatile organic compounds in the Greater Bay Area: interactions with air quality and climate change.“, 2025.04-2028.03, Co-PI.
Environment and Conservation Fund: “Development of a hybrid deep-learning – data assimilation framework for spatiotemporal NOx emission inversion”, 2023.09-2026.03, PI.
Completed/Transferred:
National Natural Science Foundation of China: “Investigation of the urbanization effects on local circulation and air quality in the Greater Bay Area.”, 2021.01-2023.12, PI.
Guangzhou Scientific and Technological Planning Project: “Investigation of the HONO heterogeneous formation on the building surface and its impact on the secondary pollutant formations.”, 2021.03-2023.02, PI.
General Research Fund: “Estimation and spatiotemporal analysis of wet deposition of long-term non-sea-salt-sulfate, nitrate, ammonium, and calcium in Northern Hemisphere.”, 2021.10-2024.09, PI.
Environment and Conservation Fund: “Development and application of temporal source apportionment technique for PM2.5 and O3 in the Greater Bay Area.”, 2021.04-2023.03, PI.
National Key Research and Development Program of China: “Upgrade of PM2.5 speciation and PAMS networks and development of big data-based air quality forecasting and analysis platform.”, 2018.07-2021.12, Co-I.
SELECTED PUBLICATIONS
Google Scholar profile: https://scholar.google.com/citations?user=5ilEfXIAAAAJ&hl=en
Chen, W., Lu, X.*, Xian, C., Sun, X., Chen, Y., Hu, M., Li, G. and Fung, J.C.H. (2025). Estimation of Ca2+ wet deposition in the Northern Hemisphere by use of CNN deep-learning model. Ecological Indicators, 176, 113684.
Hu, M., Lu, X.*, Chen, Y., Chen, W., Guo, C., Xian, C. and Fung, J.C.H. (2024). High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model. Journal of Environmental Management, 371, 123096.
Chen, Y., Lu, X.* and Fung, J.C.H. (2024). Spatiotemporal source apportionment of ozone pollution over the Greater Bay Area. Atmospheric Chemistry and Physics, 24(15), 8847-8864.
Chen, W., Lu, X.*, Yuan, D., Chen, Y., Li, Z., Huang, Y., Fung, T., Sun, H. and Fung, J.C.H. (2023). Global PM2.5 Prediction and Associated Mortality to 2100 under Different Climate Change Scenarios. Environmental Science & Technology, 57(27), 10039-10052.
Sun, H., Fung, J. C., Chen, Y., Li, Z., Yuan, D., Chen, W. and Lu, X.* (2022). Development of an LSTM broadcasting deep-learning framework for regional air pollution forecast improvement. Geoscientific Model Development, 15(22), 8439-8452.
Chen, Y., Fung, J.C.H., Huang, Y., Lu, X.*, Wang, Z., Louie, P.K.K., Chen, W., Yu, C.W., Yu, R. and Lau, A.K.H. (2022). Temporal source apportionment of PM2.5 over the Pearl River Delta region in southern China. Journal of Geophysical Research: Atmospheres, 127(14), e2021JD035271.
Hu, M., Chen, Y., Yuan, D., Yu, R., Lu, X.*, Fung, J.C.H., Chen, W., Huang, Y. and Lau, A.K.H. (2022). Estimation and spatiotemporal analysis of NO2 pollution in East Asia during 2001–2016. Journal of Geophysical Research: Atmospheres, 127(2), e2021JD035129.
Sun, H., Fung, J. C., Chen, Y.*, Chen, W., Li, Z., Huang, Y., Lin, C., Hu, M. and Lu, X.* (2021). Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques. Sustainable Cities and Society, 75, 103372.
Lu, X., Sha, Y.H., Li, Z., Huang, Y., Chen, W., Chen, D., Shen, J, Chen, Y. and Fung, J.C.H. (2021). Development and application of a hybrid long-short term memory–three dimensional variational technique for the improvement of PM2.5 forecasting. Science of The Total Environment, 770, 144221.
Lu, X., Yuan, D., Chen, Y., Fung, J.C.H., Li, W., and Lau, A.K.H. (2020). Estimations of long-term nss-SO42– and NO3– wet depositions over East Asia by use of ensemble machine-learning method. Environmental Science & Technology, 54(18), 11118-11126.
Lu, X., Lin, C., Li, W., Chen, Y., Huang, Y., Fung, J.C.H., and Lau, A.K.H. (2019). Analysis of the adverse health effects of PM2.5 from 2001 to 2017 in China and the role of urbanization in aggravating the health burden. Science of the Total Environment, 652, 683-695.
Lu, X., Wang, Y., Li, J., Shen, L., and Fung, J.C.H. (2018). Evidence of heterogeneous HONO formation from aerosols and the regional photochemical impact of this HONO source. Environmental Research Letters, 13(11), 114002.
Lu, X., Chen, N., Wang, Y., Cao, W., Zhu, B., Yao, T., Fung, J.C.H and Lau, A.K.H. (2017). Radical budget and ozone chemistry during autumn in the atmosphere of an urban site in central China. Journal of Geophysical Research: Atmospheres, 122(6), 3672-3685.
Lu, X., Lin, C., Li, Y., Yao, T., Fung, J.C.H., and Lau, A.K.H. (2017). Assessment of health burden caused by particulate matter in southern China using high-resolution satellite observation. Environment International, 98, 160-170.
Lu, X., Guo, Q., Li, W., and Flanagan, J. (2014). A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data. ISPRS Journal of Photogrammetry and Remote sensing, 94, 1-12.
Teaching Fields
Sustainable Development
Urban Environmental Problems
Environmental Planning and Assessment
Research interests
Air Pollution Modeling
Atmospheric Chemistry
Emission Inversion
Machine Learning/Deep Learning
Services/ Posts
Editorial Board Member of Reviews on Environmental Health (REVEH)
Topical Advisory Panel of Atmosphere
Reviewer for over 30 SCI journals, including Nature Communications, The Lancet Planetary Health, Resources, Conservation & Recycling, Environmental Science & Technology, Sustainable Cities and Society, Information Fusion, and Atmospheric Chemistry & Physics.
SUGGESTED RESEARCH TOPICS FOR POSTGRADUATE STUDENTS
Urbanization effects on atmospheric circulation and air pollution.
Development and application of deep-learning framework for wet deposition estimation.
Emission inversion by integrating 3D CTM, machine learning techniques, and observation data.
Note: Currently I am recruiting postdoctoral fellow, postgraduate student and research assistant. Candidates with the backgrounds of environmental science, atmospheric science, computer science and remote sensing are welcome to apply. If you are interested to work with me, please feel free to send me your CV via email.
