SAT-CEP-monitor: An air quality monitoring software architecture combining complex event processing with satellite remote sensing. (July 2021)

• Record Type: Journal Article
• Authors: Semlali, Badr-Eddine Boudriki; Amrani, Chaker El; Ortiz, Guadalupe; Boubeta-Puig, Juan; Garcia-de-Prado, Alfonso
• Is Part Of: Computers & electrical engineering. Volume 93(2021)
• Publication Date: 2021-07
• Subjects: Remote sensing -- Satellite sensors -- Air quality -- Complex event processing -- Big data -- Decision-making; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2021.107257
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: SAT-CEP-Monitor is an air quality monitoring software architecture SAT-CEP-Monitor benefits from Complex Event Processing and Satellite Remote Sensing SAT-CEP-Monitor permits validating satellite air quality data with ground stations Abstract: Air pollution is a major problem today that causes serious damage to human health. Urban areas are the most affected by the degradation of air quality caused by anthropogenic gas emissions. Although there are multiple proposals for air quality monitoring, in most cases, two limitations are imposed: the impossibility of processing data in Near Real-Time (NRT) for remote sensing approaches and the impossibility of reaching areas of limited accessibility or low network coverage for ground data approaches. We propose a software architecture that efficiently combines complex event processing with remote sensing data from various satellite sensors to monitor air quality in NRT, giving support to decision-makers. We illustrate the proposed solution by calculating the air quality levels for several areas of Morocco and Spain, extracting and processing satellite information in NRT. This study also validates the air quality measured by ground stations and satellite sensor data. Graphical Abstract: Image, graphical abstract