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Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density

Urban air quality mapping has been widely applied in urban planning, air pollution control and personal air pollution exposure assessment. Urban air quality maps are traditionally derived using measurements from fixed monitoring stations. Due to high cost, these stations are generally sparsely deplo...

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Principais autores: Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-05-01
Serier:Remote Sensing
Fag:
air quality
mobile sensor
internet of things
machine learning
Online adgang:https://www.mdpi.com/2072-4292/14/11/2613
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