论文标题
Deepplume：非常高分辨率的实时空气质量映射
DeepPlume: Very High Resolution Real-Time Air Quality Mapping
论文作者
论文摘要
本文介绍了能够共同预测损害人们健康的主要污染物的实时浓度的发动机：氮二氧化合物（NO2），臭氧（O3）和颗粒物（PM2.5和PM10），它们的大小低于2.5 um和10 um）。 该发动机覆盖了世界的很大一部分，并以实时的官方电台措施，大气模型的预测，土地覆盖数据，道路网络和交通估算供应，以产生预测，并在几十米的范围内以非常高的分辨率进行预测。该分辨率使发动机适用于非常创新的应用，例如街道级空气质量映射或空气质量调整后的路由。 Plume Labs已经部署了类似的预测引擎，以构建旨在为个人和企业提供空气质量数据的几种产品。为了清晰和可重复性，此处介绍的引擎是专门为本文构建的，与羽流实验室产品中使用的引擎有很大不同。一个主要区别在于供引擎供引擎的数据源：特别是，该预测引擎不包括移动传感器的测量。
This paper presents an engine able to predict jointly the real-time concentration of the main pollutants harming people's health: nitrogen dioxyde (NO2), ozone (O3) and particulate matter (PM2.5 and PM10, which are respectively the particles whose size are below 2.5 um and 10 um). The engine covers a large part of the world and is fed with real-time official stations measures, atmospheric models' forecasts, land cover data, road networks and traffic estimates to produce predictions with a very high resolution in the range of a few dozens of meters. This resolution makes the engine adapted to very innovative applications like street-level air quality mapping or air quality adjusted routing. Plume Labs has deployed a similar prediction engine to build several products aiming at providing air quality data to individuals and businesses. For the sake of clarity and reproducibility, the engine presented here has been built specifically for this paper and differs quite significantly from the one used in Plume Labs' products. A major difference is in the data sources feeding the engine: in particular, this prediction engine does not include mobile sensors measurements.
