Papers
Title: Exploring Natural and Anthropogenic Drivers of PM2.6 Concentrations Based on Random Forest Model: Beijing-Tianjin-Hebei Urban Agglomeration, China
Authors: Guo Shasha, Tao Xiaoli, Liang Longwu
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Year: 2023
Abstract: PM2.5 is the key reason for the frequent occurrence of smog; therefore, identifying its key driving factors has far-reaching significance for the prevention and control of air pollution. Based on long-term remote sensing inversion of PM2.5 data, 22 drivin%─㻿:둰⊉럈῍"∀㻺:骰준ᾫᴀ㻧:㠐ᩄ全ᕲ똀锘ဟᨀ㻢:뤐လ᠀㻬:兘᪅ᯐလᘀ㻮:되᪑啨ᨹሀ㻪:ᄀ㻫:픈 㝰ਊༀ㻕:튠≪롈တ ഀ㻗: ఀ㻐:꽘᪐釠룧
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Classification: SCI
Title of Journal: ATMOSPHERE