Open AccessProviding high-quality measurement data in analytical system of air pollution monitoring and their key importance for smart cities residents
Author(s) -
Piotr Oskar Czechowski,
Artur Badyda,
Grzegorz Majewski,
Aneta Oniszczuk-Jastrząbek,
Andrzej Kraszewski,
Wioletta Rogula–Kozłowska,
Witold Kozirok
Publication year - 2017
Publication title -
annals of warsaw university of life sciences-sggw. land reclamation
Language(s) - English
Resource type - Journals
eISSN - 2081-9617
pISSN - 1898-8857
DOI - 10.1515/sggw-2017-0019
Subject(s) - key (lock) , smart city , computer science , systems engineering , statistic , air quality index , air pollution , quality (philosophy) , software , engineering , computer security , internet of things , geography , meteorology , philosophy , statistics , mathematics , organic chemistry , epistemology , programming language , chemistry
The article presents selected, main elements of an air pollution automatic monitoring system with analytical subsystems concept in smart cities based on examples from Poland, implemented system in Pomerania, the concept of new system in Warsaw city and pilot research in Nowy Sącz city. All systems are the result of teamwork, ranging from design, development of new methodology and software to implementation in real-time air pollutants smart cities monitoring systems. Focused on the most neuralgic elements: data quality subsystems, new ideas of smart mobility measurement stations and their ability to use in future research and models. Special attention was paid to stochastic models and statistic methodology proposed and used in data diagnostics as analytical system engineering.