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PUBLICATIONS

LIST OF RESEARCH OUTPUTS OR CREATIVE WORKS

Google Scholar: 5ilEfXIAAAAJ    ORCID: 0000-0002-0962-9855    ResearcherID: AAE-8014-2020

2025

  1. Guo, C., Wu, D., Yang, J., Lu, X., Chen, X. Y., Ma, J., Lin, C., Lau, A.K.H., Jin, Y., Li, R., He, S. (2025). Ambient air pollution and Alzheimer’s disease and other dementias: a global study between 1990 and 2019. BMC Public Health, 25, 371.

  2. Huang, Y., Lu, X., Li, Z., Fung, J. C. H., Wang, Y., and Chen, Y. (2025). Direct radiative effects of black carbon and brown carbon from southeast Asia biomass burning with the WRF-CMAQ two-way coupled model. Environmental Pollution, 366, 125425.

  3. Hu, M., Lu, X., Chen, Y., Li, Z., Wang, Y., Fung, J. C. H. (2025). AirQFormer: Improving regional air quality forecast with a hybrid deep learning model. Sustainable Cities and Society, 119, 106113.

  4. Dong, J., Yan, Y., Peng, L., Lu, X., Yue, K., Niu, Y., Li, J., Ge, Y., Xie, K., Duan, X. (2025). Development of a multi-module data-driven integrated framework for identifying drivers of atmospheric particulate nitrate and reduction emissions: An application in an industrial city, China. Environment International, 198, 109394.

  5. Chen, S., Guo, C., Ou, C., Zheng, Y., Liu, Y., Ma, J., Lu, X., Huang, B., Chan, T. C. (2025). Fine particulate matter components and reproductive hormones in female adults: A 15-year longitudinal cohort study. International Journal of Hygiene and Environmental Health, 266, 114562.

2024

  1. 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.

  2. 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.

  3. Wang, Q., Chen, Y., Lu, X.*, Chen, G., Li, Z., Cai, M., Ren, C., and Fung, J.C.H. (2024). Urbanization impact on meteorological condition and O3 concentration under past and future climates scenarios over the Greater Bay Area in southern China. Atmospheric Environment, 331, 120585.

  4. Wu, B., Wu, C., Ye, Y., Pei, C., Deng, T., Li, Y. J., Lu, X., Wang, L., Hu, B., Li, M., and Wu, D. (2024). Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay Area of China. Atmospheric Environment, 321, 120347.

  5. Wong, M.M.F., Fung, J.C.H., Zuo, Z., Lu, X., and Li, Z. (2024). Application of LCZ in mesoscale meteorological model simulations and climate projection. In R. Wang, M. Cai, C. Ren, & Y. Shi (Eds.), Local Climate Zone Application in Sustainable Urban Development: Experience from East and Southeast Asian High-Density Cities (pp. 205–225). Springer International Publishing.

2023

  1. Zuo, Z., Fung, J.C.H., Li, Z., Huang, Y., Wong, M.F., Lau, A.K.H., and Lu, X. (2023). Projection of future heatwaves in the Pearl River Delta through CMIP6-WRF dynamical downscaling. Journal of Applied Meteorology and Climatology, 62(9), 1297–1314.

  2. Wang, Q., Chen, Y., Fung, T., Li, Z., Huang, Y., Wong, M.M.F., and Lu, X.* (2023). Effect of land surface parameters on meteorology and ozone air quality simulations in the Great Bay Area, China. Atmospheric Environment, 315, 120146.

  3. 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.

  4. Liao, K., Zhang, J., Chen, Y., Lu, X., Fung, J.C.H., Ying, Q., and Yu, J. Z. (2023). Regional source apportionment of trace metals in fine particulate matter using an observation-constrained hybrid model. npj Climate and Atmospheric Science, 6(1), 65.

  5. Chen, Y., Fung, J.C.H., Yuan, D., Chen, W., Fung, T., and Lu, X.* (2023). Development of an integrated machine-learning and data assimilation framework for NOx emission inversion. Science of The Total Environment, 871, 161951.

  6. Huang, Y., Lu, X., Fung, J. C., Wong, D. C., Li, Z., Chen, Y., and Chen, W. (2023). Investigating Southeast Asian biomass burning by the WRF-CMAQ two-way coupled model: Emission and direct aerosol radiative effects. Atmospheric Environment, 294, 119521.

2022

  1. Sun, H., Fung, J.C.H., 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.

  2. Chen, Y., Fung, J.C.H., Huang, Y., Lu, X.*, Wang, Z., Louie, P. 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.

  3. Chen, Y., Yuan, D., Chen, W., Hu, M., Fung, J.C.H., Sun, H., and Lu, X.* (2022). Estimation and variation analysis of secondary inorganic aerosols across the Greater Bay Area in 2005 and 2015. Chemosphere, 292, 133393.

  4. 陈婉莹, 陈懿昂, 褚旸晰, 张金谱, 洗超凡, 林常青, 冯志雄, 陆兴成.* (2022). 珠三角地区臭氧来源特征的数值模拟研究. 环境科学学报, 42(3), 293.

  5. 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.

2021

  1. Li, R., Yan, Y., Peng, L., Wang, F., Lu, X., Wang, Y., Xu, Y., and Wang, C. (2021). Enhancement of ozone formation by increased vehicles emission and reduced coal combustion emission in Taiyuan, a traditional industrial city in northern China. Atmospheric Environment, 267, 118759.

  2. 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.

  3. Lin, C., Lau, A.K.H., Fung, J.C.H., Song, Y., Li, Y., Tao, M., Lu, X., Ma, J., and Lao, X. Q. (2021). Removing the effects of meteorological factors on changes in nitrogen dioxide and ozone concentrations in China from 2013 to 2020. Science of the Total Environment, 793, 148575.

  4. 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.

  5. Chen, W., Chen, Y., Huang, Y., Lu, X.*, Yu, J. Z., Fung, J.C.H., Lin, C., Yan, Y., Peng, L., Louie, P. K. K., Tam, F. C. V., Yue, D., Lau, A.K.H., and Zhong, L. (2021). Source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method. Atmospheric Pollution Research, 12(5), 101061.

  6. Song, Y., Lin, C., Li, Y., Lau, A.K.H., Fung, J.C.H., Lu, X., Guo, C., Ma, J., and Lao, X. Q. (2021). An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: a national study in China during the COVID-19 lockdown period. Atmospheric Environment, 250, 118270.

  7. Lu, X., Yuan, D., Chen, Y., and Fung, J.C.H. (2021). Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden. Environmental Pollution, 270, 116003.

  8. Huang, Y., Lu, X., Fung, J.C.H., Sarwar, G., Li, Z., Li, Q., Saiz-Lopez, A. and Lau, A.K.H. (2021). Effect of bromine and iodine chemistry on tropospheric ozone over Asia-Pacific using the CMAQ model. Chemosphere, 262, 127595.

2020

  1. 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.

  2. Lu, X., Chen, Y., Huang, Y., Chen, D., Shen, J., Lin, C., Li, Z., Fung, J.C.H. and Lau, A.K.H. (2020). Exposure and mortality apportionment of PM2.5 between 2006 and 2015 over the Pearl River Delta region in southern China. Atmospheric Environment, 231, 117512.

  3. Lin, C., Labzovskii, L. D., Mak, H. W. L., Fung, J.C.H., Lau, A.K.H., Kenea, S. T., Bilal, M., Vande Hey, J., Lu, X., and Ma, J. (2020). Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring. Atmospheric Environment, 227, 117410.

  4. Lin, C., Lau, A.K.H, Lao, X. Q., Fung, J.C.H., Lu, X., Li, Z., Ma, J., Li, C., and Wong, A.H. (2020). A novel framework for decomposing PM2.5 variation and demographic change effects on human exposure using satellite observations. Environmental Research, 182, 109120.

2019

  1. Chen, Y., Fung, J.C.H., Chen, D., Shen, J., and Lu, X.* (2019). Source and exposure apportionments of ambient PM2.5 under different synoptic patterns in the Pearl River Delta region. Chemosphere, 236, 124266.

  2. Li, Z., Che, W., Lau, A.K.H., Fung, J.C.H., Lin, C., and Lu, X. (2019). A feasible experimental framework for field calibration of portable light-scattering aerosol monitors: Case of TSI DustTrak. Environmental Pollution, 255, 113136.

  3. Lu, X., Chan, S. C., Fung, J.C.H., and Lau, A.K.H. (2019). To what extent can the below-cloud washout effect influence the PM2.5? A combined observational and modeling study. Environmental Pollution, 251, 338-343.

  4. Lu, X., Chen, Y., Huang, Y., Lin, C., Li, Z., Fung, J.C.H., and Lau, A.K.H. (2019). Differences in concentration and source apportionment of PM2.5 between 2006 and 2015 over the PRD region in southern China. Science of the Total Environment, 673, 708-718.

  5. Huang, Y., Yao, T., Fung, J.C.H., Lu, X., and Lau, A.K.H. (2019). Application of air parcel residence time analysis for air pollution prevention and control policy in the Pearl River Delta region. Science of The Total Environment, 658, 744-752.

  6. 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 Total Environment, 652, 683-695.

  7. Han, F., Lu, X., Xiao, C., Chang, M., and Huang, K. (2019). Estimation of health effects and economic losses from ambient air pollution in undeveloped areas: evidence from Guangxi, China. International Journal of Environmental Research and Public Health, 16(15), 2707.

  8. Lin, C., Lau, A.K.H., Fung, J.C.H., He, Q., Ma, J., Lu, X., Li, Z., Li, C., Zuo, R., and Wong, A. H. S. (2019). Decomposing the Long-term Variation in Population Exposure to Outdoor PM2.5 in the Greater Bay Area of China Using Satellite Observations. Remote Sensing, 11(22), Article 22.

2018

  1. Lin, C., Lau, A.K.H., Lu, X., Fung, J.C.H, Li, Z., Li, C., and Wong, A. (2018). Assessing Effect of Targeting Reduction of PM2.5 Concentration on Human Exposure and Health Burden in Hong Kong Using Satellite Observation. Remote Sensing, 10(12), 2064.

  2. 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.

  3. Lin, C., Lau, A.K.H., Li, Y., Fung, J.C.H., Li, C., Lu, X., and Li, Z. (2018). Difference in PM2.5 variations between urban and rural areas over eastern China from 2001 to 2015. Atmosphere, 9(8), 312.

  4. Lu, X., and Fung, J.C.H. (2018). Sensitivity assessment of PM2.5 simulation to the below-cloud washout schemes in an atmospheric chemical transport model. Tellus B: Chemical and Physical Meteorology, 70(1), 1476435.

  5. Liu, R., Li, W., Liu, X., Lu, X., Li, T., and Guo, Q. (2018). An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 572-584.

2017

  1. 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.

  2. Lu, X., Chen, N., Wang, Y., Gao, 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-Atmosphere, 122, 3672-3685.

  3. 陈楠, 陆兴成, 姚腾, 操文祥, 杨诺, 许可, 祝波，冯志雄，田一平. (2017). 湖北臭氧分布特征及其管控措施. 中国环境监测，33（4），150-158.

2016

  1. Lu, X., Yao, T., Li, Y., Fung, J.C.H. and Lau, A.K.H. (2016) Source apportionment and health effect of NOx over the Pearl River Delta region in southern China. Environmental Pollution, 212, 135-146.

  2. Lu, X., Yao, T., Fung, J.C.H. and Lin, C. (2016) Estimation of health and economic costs of air pollution over the Pearl River Delta region in China. Science of Total Environment, 566-567C, 134-143.

  3. Lin, C., Li, Y., Lau, A.K.H., Deng, X., Tse, T.K.T., Fung, J.C.H., Li, C., Li, Z., Lu, X., Zhang, X. and Yu, Q. (2016) Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data. Remote Sensing of Environment, 179, 13-22.

  4. Lin, C., Li, C., Lau, A.K.H., Yuan, Z., Lu, X., Tse, T.K.T., Fung, J.C.H., Li, Y., Yao, Y., Su, L., Li, Z. and Zhang, Y. (2016) Assessment of satellite-based aerosol optical depth using continuous lidar observation. Atmospheric Environment, 140, 273-282.

  5. Lu, X., and Fung, J.C.H. (2016) Source Apportionment of sulfate and nitrate over the Pearl River Delta Region in China. Atmosphere, 98.

2015

  1. Lu, X., Fung, J.C.H., and Wu, D. (2015) Modeling wet deposition of acid substances over the PRD region in China. Atmospheric Environment, 122, 819-828.

2014

  1. 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.

Copyright © 2025. All rights reserved. Xingcheng Lu.