Using machine learning to quantify sources of light-absorbing water-soluble humic-like substances (HULISws) in Northeast China - Hong, Yihang; Cao, Fang; Fan, Mei-Yi; Lin, Yu-Chi; Bao, Mengying; Xue, Yongwen; Wu, Jiyan; Yu, Mingyuan; Wu, Xia; Zhang, Yan-Lin (Atmospheric environment (1994), 2022)
Keywords: absorbance; absorption; algorithms; biomass; China; climate change; combustion; environment; FLEXPART model; fossil fuels; fossils; heat; Heating season; human health; Humic-like substances; Machine learning algorithm; Optical properties; Source apportionment; water solubility; China; Humic-like substances; Heating season; Source apportionment; FLEXPART model; Optical properties; Machine learning algorithm