A Comprehensive Platform for Air Pollution Control System Operation in Smart Cities of Developing Countries: A Case Study of Tehran

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F23%3A00012542" target="_blank" >RIV/46747885:24620/23:00012542 - isvavai.cz</a>

Result on the web

<a href="https://journals.tultech.eu/index.php/eil/article/view/13" target="_blank" >https://journals.tultech.eu/index.php/eil/article/view/13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15157/eil.2023.1.1.10-27" target="_blank" >10.15157/eil.2023.1.1.10-27</a>

Result language

angličtina

Original language name

A Comprehensive Platform for Air Pollution Control System Operation in Smart Cities of Developing Countries: A Case Study of Tehran

Original language description

Controlling air pollution in megacities is crucial from both a health and environmental perspective. Air pollution is a pervasive problem in these densely populated cities and must be effectively managed to promote sustainability. This study presents a framework for the intelligent management of air pollution control systems in developing nations. The framework was developed through the use of an expert agreement model involving five managers from Tehran. The results indicate that the Decision Support System (DSS) is equipped with calibrated sensors for monitoring air quality. Additionally, the concentration of air pollutants can be determined through the application of machine learning algorithms and the analysis of historical data. Rapid response methods are then applied to mitigate the acute and chronic effects of air pollution. The DSS also incorporates citizens‘ feedback to evaluate the effectiveness of air pollution control measures. Implementing this model in developing nations‘ smart cities can help achieve several of the United Nations‘ Sustainable Development Goals (SDGs), such as good health and well-being, sustainable cities and communities, climate action, and life on land.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Environmental Industry Letters :

ISSN

2806-2965

e-ISSN

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Volume of the periodical

1

Issue of the periodical within the volume

1

Country of publishing house

EE - ESTONIA

Number of pages

18

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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