Assessment of PM2.5 Distribution at Different Heights in Hanoi, Vietnam  

作　　者：Duy An Dam Thi Thanh Huong Chu Thi Thu Trang Phung Van Linh Le Hong Hiep Nguyen Quang Lam Nguyen Thi Thanh Binh Do Van Dam Vu Duy An Dam;Thi Thanh Huong Chu;Thi Thu Trang Phung;Van Linh Le;Hong Hiep Nguyen;Quang Lam Nguyen;Thi Thanh Binh Do;Van Dam Vu(Global Change and Sustainable Development Research Institute, Ha Noi, Vietnam;Department of Climate Change, Hanoi, Vietnam;The Water Resources Institute, Ha Noi, Vietnam;Viet Nam Institute of Meteorology, Hydrology and Climate Change, Ha Noi, Vietnam)

机构地区：[1]Global Change and Sustainable Development Research Institute, Ha Noi, Vietnam [2]Department of Climate Change, Hanoi, Vietnam [3]The Water Resources Institute, Ha Noi, Vietnam [4]Viet Nam Institute of Meteorology, Hydrology and Climate Change, Ha Noi, Vietnam

出　　处：《Journal of Geoscience and Environment Protection》2024年第11期207-220,共14页地球科学和环境保护期刊（英文）

摘　　要：Monitoring of PM10 and PM2.5 concentrations frequently is essential for assessing air quality and informing pollution control strategies. This study examines the effect of height on PM2.5 distribution in Hanoi using EPA-standard methods at five rooftop locations on high-rise buildings. Results from Phase 1 (pre-pollution period) indicate a nearly 50% reduction in PM2.5 concentration, decreasing from 34.76 μg/m3 at 40 m to 13.95 μg/m3 at 336 m. In contrast, Phase 2 (pollution wave) showed relatively stable PM2.5 concentrations across heights, likely influenced by cold air masses and wind speed. MLR and MNLR analyses reveal the significant impact of meteorological factors and PM10 on PM2.5 levels, with the MNLR model accounting for 80% - 94% of the variance, outperforming the MLR model’s 50% - 80%. Employing UAVs, Lidar, and synchronized meteorological data is proposed as an advanced approach to enhance the accuracy of height-based dust concentration assessments.Monitoring of PM10 and PM2.5 concentrations frequently is essential for assessing air quality and informing pollution control strategies. This study examines the effect of height on PM2.5 distribution in Hanoi using EPA-standard methods at five rooftop locations on high-rise buildings. Results from Phase 1 (pre-pollution period) indicate a nearly 50% reduction in PM2.5 concentration, decreasing from 34.76 μg/m3 at 40 m to 13.95 μg/m3 at 336 m. In contrast, Phase 2 (pollution wave) showed relatively stable PM2.5 concentrations across heights, likely influenced by cold air masses and wind speed. MLR and MNLR analyses reveal the significant impact of meteorological factors and PM10 on PM2.5 levels, with the MNLR model accounting for 80% - 94% of the variance, outperforming the MLR model’s 50% - 80%. Employing UAVs, Lidar, and synchronized meteorological data is proposed as an advanced approach to enhance the accuracy of height-based dust concentration assessments.

关 键 词：LIDAR PM2.5 PM10 Air Monitoring 

分 类 号：X51[环境科学与工程—环境工程]