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- W2895813181 abstract "A pragmatic, data driven approach, which for the first time combines existing in situ and remote sensing data sets with anetworked mobile air pollutant measurement strategy in the urban space is an objective of the Smart Air QualityNetwork (SmartAQnet) project. It aims to implement an intelligent, reproducible, finely-tuned (spatial, temporal), yetcost-effective air quality measuring network, initially in the model region of Augsburg, Germany. Central to this is thedevelopment and utilization of partial, already existing (but not yet combined) data on the one hand and the collectionand integration of relevant missing data on the other hand. Unmanned aerial vehicles (UAV) with low-weightmeteorological sensors and particle counter are used to monitor the three-dimensional dynamics of the lower atmosphere.Ground-based remote sensing by ceilometer for mixing layer height detection as well as a Radio-Acoustic SoundingSystem (RASS) for temperature and wind profile measurements at the University campus complete the new networkarchitecture and UAV height profiling of atmospheric parameters.The SmartAQnet research initiative focuses on the subject of data access and data-based applications. Such complexmonitoring provides the basis of deeper process understanding of air pollution exposure. The network architecture isshown and first results about spatial variation of meteorological influences upon air pollution exposure is presented usingceilometer, UAV and the existing monitoring network data." @default.
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- W2895813181 date "2018-10-09" @default.
- W2895813181 modified "2023-09-26" @default.
- W2895813181 title "Smart Air Quality Network for spatial high-resolution monitoring in urban area" @default.
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- W2895813181 doi "https://doi.org/10.1117/12.2325756" @default.
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