首页|期刊导航|森林工程|基于多源数据的像元尺度东北三省夜间PM2.5估算

基于多源数据的像元尺度东北三省夜间PM2.5估算OA北大核心CSTPCD

Estimation of Nighttime PM2.5 in the Three Northeast Provinces at Pixel Scale Based on Multi-source Data

中文摘要英文摘要

气候变化与森林植被影响着PM2.5质量浓度的分布,而PM2.5作为空气的重要污染物也可直接或间接影响森林植被生长.目前,基于光学气溶胶厚度(AOD)反演日间PM2.5的技术已经较为成熟,夜间PM2.5作为日间PM2.5的补充,对于PM2.5的全天监测具有重要意义.基于辐射传输理论,以夜间灯光亮度、增强型植被指数和7个气象因素(2 m露点温度、2 m温度、U风速分量、V风速分量、大气表面压力、蒸发量、降雨量)作为输入变量,夜间PM2.5质量浓度作为…查看全部>>

Climate change and forest vegetation affect the distribution of PM2.5 concentrations,and PM2.5 as an important air pol-lutant can also affect forest vegetation growth directly or indirectly.Currently,the technique of inverting daytime PM2.5 based on opti-cal aerosol thickness(AOD)data is relatively mature,and as a complement to daytime PM2.5,nighttime PM2.5 is of great significance for the all-day PM2.5 monitoring.Based on the radiation transmission theory,t…查看全部>>

李海洋;叶俊

黑龙江科技大学 矿业工程学院,哈尔滨,150022黑龙江科技大学 矿业工程学院,哈尔滨,150022

环境科学

夜间PM2.5质量浓度机器学习辐射传输东北三省森林植被保护

Nighttime PM2.5 concentrationmachine learningradiation transmissionthe three northeastern provincesforest vegetation conservation

《森林工程》 2024 (4)

11-18,8

黑龙江科技大学引进高层次人才科研启动基金项目(7021000009020403).

10.7525/j.issn.1006-8023.2024.04.002

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