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2016 | OriginalPaper | Buchkapitel

Classification of Air Quality Monitoring Stations Using Fuzzy Similarity Measures: A Case Study

verfasst von : Kamal Jyoti Maji, Anil Kumar Dikshit, Ashok Deshpande

Erschienen in: Recent Developments and New Direction in Soft-Computing Foundations and Applications

Verlag: Springer International Publishing

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Abstract

The objective of designing and installation air quality monitoring network (AQMN) is to reduce network density with a view to acquire maximum information on air quality with minimum expenses. In spite of the best research efforts, there has been no general acceptance of any method for deciding the number of stations. Majority of the cities have, therefore, installed monitoring stations with their own guidelines. The present paper presents a useful formulation for classification of the existing air quality monitoring stations (AQMS) using fuzzy similarity measures. The case study has been demonstrated by applying the methodology to the already-installed AQMS in Delhi, India.

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Titel: Classification of Air Quality Monitoring Stations Using Fuzzy Similarity Measures: A Case Study
verfasst von: Kamal Jyoti Maji
Anil Kumar Dikshit
Ashok Deshpande
Verlag: Springer International Publishing
Buch: Recent Developments and New Direction in Soft-Computing Foundations and Applications
Print ISBN: 978-3-319-32227-8

Electronic ISBN: 978-3-319-32229-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-32229-2_34

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