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Multi-criterion Water Quality Analysis of the Danube River in Serbia: A Visualisation Approach

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2015
bitstream_14109.pdf (26.72Mb)
Authors
Walker, David J.
Jakovljević, Dejana M.
Savić, Dragan
Radovanović, Milan M.
Article (Accepted Version)
Metadata
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Abstract
River quality analysis is an important activity which, in Serbia, has been performed using the Serbian Water Quality Index (SWQI). This is a measure based on a weighted aggregation of 10 water quality parameters. In this work, alternative methods drawing on visualisation approaches used in multi-criterion decision analysis are applied to the problem of evaluating river quality in the Danube. Two methods are considered: one which constructs a graph using the dominance relation combined with a further multi-criterion ranking method, average rank, and the other in which the dimensionality of the data is reduced using PCA for visualisation. Results for data collected in 2010 are analysed and compared with the corresponding SWQI values for the river in that year, and we find that by employing these methods it is possible to reveal more information within the data than is possible by using SWQI alone.
Keywords:
river quality / visualisation / multi-criteria analysis / ranking / water quality indicators
Source:
Source Water Research, 2015, 79, 158-172
Publisher:
  • Elsevier
Funding / projects:
  • Geography of Serbia (RS-47007)
  • Engineering and Physical Sciences Research Council (EPSRC), United Kingdom
Note:
  • This is the author’s version of a work that was accepted for publication in Water Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published as Walker, D., Jakovljević, D., Savić, D., Radovanović, M., 2015. Multi-criterion water quality analysis of the Danube River in Serbia: A visualisation approach. Water Research 79, 158–172. https://doi.org/10.1016/j.watres.2015.03.020

DOI: 10.1016/j.watres.2015.03.020

ISSN: 0043-1354; 1879-2448

WoS: 000356198800014

Scopus: 2-s2.0-84929333972
[ Google Scholar ]
42
31
Handle
https://hdl.handle.net/21.15107/rcub_dais_2282
URI
https://dais.sanu.ac.rs/123456789/2282
Collections
  • ГИ САНУ - Радови истраживача / GI SASA - Researchers' publications
Institution/Community
Географски институт „Јован Цвијић“ САНУ / Geographical Institute Jovan Cvijić SASA
TY  - JOUR
AU  - Walker, David J.
AU  - Jakovljević, Dejana M.
AU  - Savić, Dragan
AU  - Radovanović, Milan M.
PY  - 2015
UR  - https://dais.sanu.ac.rs/123456789/2282
AB  - River quality analysis is an important activity which, in Serbia, has been performed using the Serbian Water Quality Index (SWQI). This is a measure based on a weighted aggregation of 10 water quality parameters. In this work, alternative methods drawing on visualisation approaches used in multi-criterion decision analysis are applied to the problem of evaluating river quality in the Danube. Two methods are considered: one which constructs a graph using the dominance relation combined with a further multi-criterion ranking method, average rank, and the other in which the dimensionality of the data is reduced using PCA for visualisation. Results for data collected in 2010 are analysed and compared with the corresponding SWQI values for the river in that year, and we find that by employing these methods it is possible to reveal more information within the data than is possible by using SWQI alone.
PB  - Elsevier
T2  - Source Water Research
T1  - Multi-criterion Water Quality Analysis of the Danube River in Serbia: A Visualisation Approach
SP  - 158
EP  - 172
VL  - 79
DO  - 10.1016/j.watres.2015.03.020
UR  - https://hdl.handle.net/21.15107/rcub_dais_2282
ER  - 
@article{
author = "Walker, David J. and Jakovljević, Dejana M. and Savić, Dragan and Radovanović, Milan M.",
year = "2015",
abstract = "River quality analysis is an important activity which, in Serbia, has been performed using the Serbian Water Quality Index (SWQI). This is a measure based on a weighted aggregation of 10 water quality parameters. In this work, alternative methods drawing on visualisation approaches used in multi-criterion decision analysis are applied to the problem of evaluating river quality in the Danube. Two methods are considered: one which constructs a graph using the dominance relation combined with a further multi-criterion ranking method, average rank, and the other in which the dimensionality of the data is reduced using PCA for visualisation. Results for data collected in 2010 are analysed and compared with the corresponding SWQI values for the river in that year, and we find that by employing these methods it is possible to reveal more information within the data than is possible by using SWQI alone.",
publisher = "Elsevier",
journal = "Source Water Research",
title = "Multi-criterion Water Quality Analysis of the Danube River in Serbia: A Visualisation Approach",
pages = "158-172",
volume = "79",
doi = "10.1016/j.watres.2015.03.020",
url = "https://hdl.handle.net/21.15107/rcub_dais_2282"
}
Walker, D. J., Jakovljević, D. M., Savić, D.,& Radovanović, M. M.. (2015). Multi-criterion Water Quality Analysis of the Danube River in Serbia: A Visualisation Approach. in Source Water Research
Elsevier., 79, 158-172.
https://doi.org/10.1016/j.watres.2015.03.020
https://hdl.handle.net/21.15107/rcub_dais_2282
Walker DJ, Jakovljević DM, Savić D, Radovanović MM. Multi-criterion Water Quality Analysis of the Danube River in Serbia: A Visualisation Approach. in Source Water Research. 2015;79:158-172.
doi:10.1016/j.watres.2015.03.020
https://hdl.handle.net/21.15107/rcub_dais_2282 .
Walker, David J., Jakovljević, Dejana M., Savić, Dragan, Radovanović, Milan M., "Multi-criterion Water Quality Analysis of the Danube River in Serbia: A Visualisation Approach" in Source Water Research, 79 (2015):158-172,
https://doi.org/10.1016/j.watres.2015.03.020 .,
https://hdl.handle.net/21.15107/rcub_dais_2282 .

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