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首页> 外文期刊>International Journal of Environmental Research and Public Health >Assessing 3-D Spatial Extent of Near-Road Air Pollution around a Signalized Intersection Using Drone Monitoring and WRF-CFD Modeling
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Assessing 3-D Spatial Extent of Near-Road Air Pollution around a Signalized Intersection Using Drone Monitoring and WRF-CFD Modeling

机译：使用无人机监测和WRF-CFD建模评估信号交叉口周围的近道空气污染的3-D空间污染

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摘要

In this study, we have assessed the three-dimensional (3-D) spatial extent of near-road air pollution around a signalized intersection in a densely populated area using collaborating methodologies of stationary measurements, drone monitoring, and atmospheric dispersion modeling. Stationary measurement data collected in the roadside apartment building showed a substantial effect of emitted pollutants, such as nitrogen oxides (NO x ), black carbon (BC), and ultrafine particles (UFPs), especially during the morning rush hours. Vertical drone monitoring near the road intersection exhibited a steeper decreasing trend with increasing altitude for BC concentration rather than for fine particulate matter (PM 2.5 ) concentration below the apartment building height. Atmospheric NO x dispersion was simulated using the weather research and forecasting (WRF) and computational fluid dynamics (CFD) models for the drone measurement periods. Based on the agreement between the measured BC and simulated NO x concentrations, we concluded that the air pollution around the road intersection has adverse effects on the health of residents living within the 3-D spatial extent within at least 120 m horizontally and a half of building height vertically during the morning rush hours. The comparability between drone monitoring and WRF-CFD modeling can further guarantee the identification of air pollution hotspots using the methods.
机译：在这项研究中，我们通过静止测量，无人机监测和大气分散建模的协作方法评估了在密集地区的信号交叉口周围的三维（3-D）空间污染。路旁公寓楼收集的静止测量数据显示出发出的污染物，如氮氧化物（NO X），黑碳（BC）和超细颗粒（UFP），特别是在早晨的高峰时段。在公路交叉口附近的垂直无人机监测呈现出陡峭的降低趋势，增加了BC浓度的高度，而不是用于公寓高度低于公寓高度的细颗粒物质（PM 2.5）浓度。使用气象研究和预测（WRF）和无人机测量期的计算流体动力学（CFD）模型来模拟大气的X分散。根据测量的BC和模拟没有X浓度之间的协议，我们得出结论，道路交叉口周围的空气污染对生活在3-D空间范围内的居民健康的污染不足，水平至少120米和一半在早上高峰时段垂直建造高度。无人机监测和WRF-CFD建模之间的可比性可以进一步保证使用这些方法识别空气污染热点。

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