Predicting Common Air Quality Index - The Case of Czech Microregions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899727" target="_blank" >RIV/00216275:25410/15:39899727 - isvavai.cz</a>
Result on the web
<a href="http://aaqr.org/VOL15_No2_April2015/15_AAQR-14-08-OA-0154_544-555.pdf" target="_blank" >http://aaqr.org/VOL15_No2_April2015/15_AAQR-14-08-OA-0154_544-555.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4209/aaqr.2014.08.0154" target="_blank" >10.4209/aaqr.2014.08.0154</a>

Result language
angličtina
Original language name
Predicting Common Air Quality Index - The Case of Czech Microregions
Original language description
This paper presents a design of models for common air quality index prediction using computational intelligence methods. In addition, the sets of input variables were optimized for each air pollutant prediction by genetic algorithms. Based on data measured by the three monitoring stations of Dukla, Rosice and Brnenska in the Czech Republic, the models were designed to predict air quality indices for each air pollutant separately and, consequently, to predict the common air quality index. Considering the root mean squared error, the results showed that the compositions of individual prediction models significantly outperform single prediction models of the common air quality index. The feature selection procedure indicates that the determinants of air quality indices were strongly locality specific. Therefore, the models can be applied to obtain more accurate one day ahead predictions of air quality indices. Here we show that the composition models achieve high prediction accuracy for maximum air quality indices (between 50.69 and 63.36%). The goal of the prediction by various methods was to compare the results of the prediction with the aim of various recommendations to micro-regional public administration management.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DI - Pollution and air control
OECD FORD branch
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Project
<a href="/en/project/TD010130" target="_blank" >TD010130: Regionalization of economic performance indicators in relation to environmental quality</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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