Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data
2016 · Remote Sensing of Environment · 111 citations
https://doi.org/10.1016/j.rse.2016.03.023
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Xingcheng Lu
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Xingcheng Lu is an academic researcher from Chinese University of Hong Kong. The author has contributed to research in topics: Air Quality and Health Impacts & Atmospheric chemistry and aerosols & Air Quality Monitoring and Forecasting. The author has an h-index of 22, co-authored 94 publications.
ORCID: 0000-0002-0962-9855Papers by this author
worksRemoving the effects of meteorological factors on changes in nitrogen dioxide and ozone concentrations in China from 2013 to 2020
2021 · The Science of The Total Environment · 85 citations
https://doi.org/10.1016/j.scitotenv.2021.148575
A feasible experimental framework for field calibration of portable light-scattering aerosol monitors: Case of TSI DustTrak
2019 · Environmental Pollution · 50 citations
https://doi.org/10.1016/j.envpol.2019.113136
Development and application of a hybrid long-short term memory – three dimensional variational technique for the improvement of PM2.5 forecasting
2021 · The Science of The Total Environment · 50 citations
https://doi.org/10.1016/j.scitotenv.2020.144221
Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden
2020 · Environmental Pollution · 44 citations
https://doi.org/10.1016/j.envpol.2020.116003
An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period
2021 · Atmospheric Environment · 21 citations
https://doi.org/10.1016/j.atmosenv.2021.118270
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