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München 2019 – wissenschaftliches Programm

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UP: Fachverband Umweltphysik

UP 2: Air pollution and tropospheric chemistry

UP 2.6: Vortrag

Dienstag, 19. März 2019, 12:45–13:00, HS 22

KISP - an artificial intelligence approach to predict air pollution — •André Schella and Manfred Menze — enercast GmbH, Unversitätsplatz 12, 34127 Kassel

In its recent report, WHO stated air pollution to be a major global health risk worldwide [1]. Consequently, many German communities cope with the issue of polluted air in cities by means of possible driving bans. However, air pollution measuring stations are sparse and additional parameters like traffic volume and peculiar weather situations complicate the prediction of certain pollutants.

In this contribution, we investigate how weather parameters from local monitoring stations as well as numerical weather models influence the air pollutant nitrogen dioxide. Subsequently, we present our approach to predict the nitrogen dioxide level for the day ahead forecast horizon and beyond by means of artificial intelligence [2]. We thank DWD and UBA as our cooperation partners as well as the BMVI under grant no. VB18F1003A (mFund, project KISP) for financial support.

[1] World Health Organization "Ambient air pollution: A global assessment of exposure and burden of disease." (2016) [2] A. Russo, et al. "Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales." Atmospheric Pollution Research 6.3 (2015): 540-549.

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