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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20101 - Civil engineering

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Environmental Industry Letters :

ISSN

2806-2965

e-ISSN

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Svazek periodika

1

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

EE - Estonská republika

Počet stran výsledku

18

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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