Assessment of German population exposure levels to PM10 based on multiple spatial-temporal data

Particulate matter is the key to increasing urban air pollution, and research into pollution exposure assessment is an important part of environmental health. In order to classify PM 10 air pollution and to investigate the population exposure to the distribution of PM 10 , daily and monthly PM 10 co...

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Veröffentlicht in:	Environmental science and pollution research international 2020-02, Vol.27 (6), p.6637-6648
Hauptverfasser:	Liu, Xiansheng, Huang, Haiying, Jiang, Yiming, Wang, Tao, Xu, Yanling, Abbaszade, Gülcin, Schnelle-Kreis, Jürgen, Zimmermann, Ralf
Format:	Artikel
Sprache:	eng
Schlagworte:	Air monitoring Air Pollutants Air pollution Air Pollution - statistics & numerical data Algorithms Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Boundaries Cities Clustering Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Exposure - statistics & numerical data Environmental Health Environmental Monitoring Environmental science Exposure Germany Health risk assessment Levels Particulate emissions Particulate Matter Pollution control Pollution monitoring Population Power law Research Article Segmentation Spatiotemporal data Waste Water Technology Water Management Water Pollution Control
Online-Zugang:	Volltext
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