Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method

Air pollution affects public health and the environment, creating great concern in developed and developing countries. In India, there are numerous reasons for air pollution, and festivals like Diwali also contribute to air contamination. Determining the polluted region using several air contaminant...

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Main Author: A. Mohamed Nusaf and R. Kumaravel
Format: Article
Language:English
Published: Technoscience Publications 2024-03-01
Series:Nature Environment and Pollution Technology
Subjects:
Online Access:https://neptjournal.com/upload-images/(12)B-4069.pdf
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author A. Mohamed Nusaf and R. Kumaravel
author_facet A. Mohamed Nusaf and R. Kumaravel
author_sort A. Mohamed Nusaf and R. Kumaravel
collection DOAJ
description Air pollution affects public health and the environment, creating great concern in developed and developing countries. In India, there are numerous reasons for air pollution, and festivals like Diwali also contribute to air contamination. Determining the polluted region using several air contaminants is significant and should be analyzed carefully. This study aims to analyze the air quality in Tamil Nadu, India, during the Diwali festival from 2019 to 2021, based on multiple air pollutants. The study models the impact of air pollution as a Multi-Attribute Decision-Making (MADM) problem. It introduces a hybrid approach, namely the Analytical Hierarchy Process-Entropy-VlseKriterijumska Optimizacija I Kompromisno Resenje (AHP-Entropy-VIKOR) model, to analyze and rank the areas based on the quality of air. A combined approach of AHP and entropy is employed to determine the weights of multiple air pollutants. The VIKOR approach ranks the areas and identifies the areas with the worst air quality during the festival. The proposed model is validated by performing the Spearman’s rank correlation with two existing MADM methods: Combinative Distance Based Assessment (CODAS) and Weighted Aggregates Sum Product Assessment (WASPAS). Sensitivity analysis is carried out to assess the effects of the priority weights and the dependency of the pollutants in ranking the regions. The highest air pollution level during the festival was seen in Cellisini Colony (2019), Rayapuram (2020), T. Nagar and Triplicane (2021) in their respective year. The results demonstrate the consistency and efficiency of the proposed approach.
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spelling doaj.art-c3081e2c87b3498191948ef87eb2b5932024-03-12T16:37:29ZengTechnoscience PublicationsNature Environment and Pollution Technology0972-62682395-34542024-03-0123116117210.46488/NEPT.2024.v23i01.012Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making MethodA. Mohamed Nusaf and R. KumaravelAir pollution affects public health and the environment, creating great concern in developed and developing countries. In India, there are numerous reasons for air pollution, and festivals like Diwali also contribute to air contamination. Determining the polluted region using several air contaminants is significant and should be analyzed carefully. This study aims to analyze the air quality in Tamil Nadu, India, during the Diwali festival from 2019 to 2021, based on multiple air pollutants. The study models the impact of air pollution as a Multi-Attribute Decision-Making (MADM) problem. It introduces a hybrid approach, namely the Analytical Hierarchy Process-Entropy-VlseKriterijumska Optimizacija I Kompromisno Resenje (AHP-Entropy-VIKOR) model, to analyze and rank the areas based on the quality of air. A combined approach of AHP and entropy is employed to determine the weights of multiple air pollutants. The VIKOR approach ranks the areas and identifies the areas with the worst air quality during the festival. The proposed model is validated by performing the Spearman’s rank correlation with two existing MADM methods: Combinative Distance Based Assessment (CODAS) and Weighted Aggregates Sum Product Assessment (WASPAS). Sensitivity analysis is carried out to assess the effects of the priority weights and the dependency of the pollutants in ranking the regions. The highest air pollution level during the festival was seen in Cellisini Colony (2019), Rayapuram (2020), T. Nagar and Triplicane (2021) in their respective year. The results demonstrate the consistency and efficiency of the proposed approach.https://neptjournal.com/upload-images/(12)B-4069.pdfanalytical hierarchy process, air pollution, decision analysis, entropy, multi-attribute decision-making vikor model
spellingShingle A. Mohamed Nusaf and R. Kumaravel
Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method
Nature Environment and Pollution Technology
analytical hierarchy process, air pollution, decision analysis, entropy, multi-attribute decision-making vikor model
title Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method
title_full Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method
title_fullStr Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method
title_full_unstemmed Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method
title_short Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method
title_sort evaluation of the contaminated area using an integrated multi attribute decision making method
topic analytical hierarchy process, air pollution, decision analysis, entropy, multi-attribute decision-making vikor model
url https://neptjournal.com/upload-images/(12)B-4069.pdf
work_keys_str_mv AT amohamednusafandrkumaravel evaluationofthecontaminatedareausinganintegratedmultiattributedecisionmakingmethod