Abstract
An automatic alert system is implemented in order to detect atmospheric pollution layers and establish the degree of pollution load. When such layers are heavily loaded, automatic alerts are sent towards designed scientists in order to further analyze the event and inform the relevant stakeholders. The alert system is based on continuous measurements taken by a ceilometer supplemented by a photometer. Backtrajectory model is used to establish the pollution source.
Highlights
Atmospheric particulate pollution can impact human health [1] and safety, and to a larger extent, the biosphere
An alert is sent by email where it is mentioned the presence of the aerosol layer height (ALH), while there is no photometer data available
The fine mode fraction (FMF) and course mode fraction (CMF) aerosol optical depth (AOD) are below 90th percentile (Fig. 2)
Summary
Atmospheric particulate pollution can impact human health [1] and safety, and to a larger extent, the biosphere. Loaded pollution layers in troposphere can affect aviation [2], and when reaching the ground, they can diminish air quality [1], while they affect agriculture areas or important infrastructure [3]. Within this context, we pursued to implement an automated system for pollution layers detection in near real time (NRT) where the degree of pollution is evaluated. When the pollution is high, we issue automated alerts towards designated scientists. The scientist can perform dedicated measurements to gather additional information to get a thorough image of the pollution event. We present the main methodology and the implementation of the system for Bucharest, Romania
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