Original scientific paper

https://doi.org/10.17559/TV-20150707143156

Decision making framework for decreasing the redundancy of air quality monitoring stations in Vojvodina Province (Serbia)

Bogdana Vujic orcid.org/0000-0001-5249-8021 ; University of Novi Sad, Technical faculty "Mihajlo Pupin", Djure Djakovica bb, 23000 Zrenjanin, Serbia
Zorica Srdjevic ; University of Novi Sad, Faculty of Agriculture, Trg Dositeja Obradovica 8, 21000 Novi Sad, Serbia
Boris Agarski ; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
Katica Simunovic ; J. J. Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlic-Mazuranic 2, 35 000 Slavonski Brod, Croatia

Abstract

Air quality monitoring stations are used for quick and reliable assessment of air quality. Although the stations are expensive, very often their number on certain territory exceeds optimal number of stations leading to their redundancy, increased costs, overlapping of data etc. To enable analysis of quantitative and qualitative criteria, authors propose an approach based on well-known decision support tool called analytic hierarchy process (AHP). As the first step in defining the decision framework for decreasing redundancy of stations locally and regionally in Vojvodina Province, three experts were asked to identify key performance indicators for assessing the performance of the stations. Fifteen indicators were selected and divided into three groups (Environmental objectives; Location/Technical objectives; and Social/Economic objectives). Experts evaluated performance of two stations in Municipality of Kikinda. Station KIMA showed better overall performance, so it is suggested to responsible authorities to relocate monitors from KISA station to KIMA station and thus decrease maintenance and operation costs.

Keywords

air quality monitoring station; analytic hierarchy process; multi-criteria; redundancy

Hrčak ID:

167503

URI

https://hrcak.srce.hr/167503

Publication date:

13.10.2016.

Article data in other languages: croatian

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