Design of fuzzy synthetic evaluation model for air quality assessment

A. K. Gorai (), Kanchan, A. Upadhyay and P. Goyal
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A. K. Gorai: Birla Institute of Technology, Mesra
Kanchan: Birla Institute of Technology, Mesra
A. Upadhyay: IIT Delhi
P. Goyal: IIT Delhi

Environment Systems and Decisions, 2014, vol. 34, issue 3, 456-469

Abstract: Abstract Little attention was paid to growing air quality concerns until about a decade earlier in India. Indian Government started continuous monitoring of the urban air quality in Taj corridor area to protect the heritage monuments like Agra Fort, Fatehpur Sikri, the bird sanctuary at Bharatpur National Park and also the human health associated with air pollution. The aim of this study was to address air quality assessment using fuzzy synthetic evaluation model. The model was designed for four air pollutants (sulphur dioxide, nitrogen dioxide, suspended particulate matters and respirable suspended particulate matter). In the present paper, an approach is demonstrated for the determination of fuzzy air quality index by aggregating the four pollutants. The model also considers the weights of individual pollutants during aggregation. The weights of individual pollutants were determined using analytical hierarchical process. The model was applied for air quality assessment in four monitoring stations situated in Taj Trapezium Zone.

Keywords: Air quality assessment; Fuzzy synthetic evaluation; Taj Trapezium Zone (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10669-014-9505-6

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