Multi-criterion water quality analysis of the Danube River in Serbia: A visualisation approach.

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.

[1]  Jonathan E. Fieldsend,et al.  NOVEL METHODS FOR RANKING DISTRICT METERED AREAS FOR WATER DISTRIBUTION NETWORK MAINTAINENCE SCHEDULING , 2013 .

[2]  Qingfu Zhang,et al.  Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms , 2013, IEEE Transactions on Evolutionary Computation.

[3]  Bing Zhang,et al.  Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China. , 2012, Water research.

[4]  R. Pavanello,et al.  Assessment of surface water quality by a single index of pollution , 1971 .

[5]  Mohsen Nasirian,et al.  A New Water Quality Index for Environmental Contamination Contributed by Mineral Processing: A Case Study of Amang (Tin Tailing) Processing Activity , 2007 .

[6]  Luis Deban,et al.  Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis , 1998 .

[7]  David J. Walker,et al.  Ordering and visualisation of many-objective populations , 2012 .

[8]  Shilpi Saxena,et al.  Assessment of drinking water of different localities in Brij region: A physico-chemical study , 2010 .

[9]  Mark G. Macklin,et al.  Pb isotope evidence for contaminant-metal dispersal in an international river system: The lower Danube catchment, Eastern Europe , 2010 .

[10]  Ibrahim M. Khadam,et al.  Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water , 2003 .

[11]  Magnus Moglia,et al.  Multi-criteria decision assessments using Subjective Logic: Methodology and the case of urban water strategies , 2012 .

[12]  Mehmet Ümit Taner,et al.  A simple tool for the assessment of water quality in polluted lagoon systems: A case study for Küçükçekmece Lagoon, Turkey , 2011 .

[13]  Santosh Kumar Nanda,et al.  A Cascaded Fuzzy Inference System for Indian river water quality prediction , 2011, Adv. Eng. Softw..

[14]  I. Jolliffe Principal Component Analysis , 2002 .

[15]  J. B. Grau,et al.  Assessing multi-criteria approaches with environmental, economic and social attributes, weights and procedures: A case study in the Pampas, Argentina , 2011 .

[16]  Shigeru Obayashi,et al.  Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms , 2002 .

[17]  W. D. Alberto,et al.  Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquía River Basin (Cordoba-Argentina). , 2001 .

[18]  Lei Gao,et al.  A modified water quality index for intensive shrimp ponds of Litopenaeus vannamei , 2013 .

[19]  Faridah Othman,et al.  Trend analysis of a tropical urban river water quality in Malaysia. , 2012, Journal of environmental monitoring : JEM.

[20]  D. Wunderlin,et al.  Integrated survey of water pollution in the Suquía River basin (Córdoba, Argentina). , 2011, Journal of environmental monitoring : JEM.

[21]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[22]  Alfred Inselberg,et al.  Parallel Coordinates: Visual Multidimensional Geometry and Its Applications , 2003, KDIR.

[23]  Thilo Hofmann,et al.  Occurrence and behaviour of selected hydrophobic alkylphenolic compounds in the Danube River. , 2009, Environmental pollution.

[24]  Marco Farina,et al.  Fuzzy Optimality and Evolutionary Multiobjective Optimization , 2003, EMO.

[25]  D Nebojsa Veljkovic Sustainable development indicators: Case study for South Morava river basin , 2013 .

[26]  Rafael Borja,et al.  Use of the water quality index and dissolved oxygen deficit as simple indicators of watersheds pollution , 2007 .

[27]  Antonio Boggia,et al.  Development of policies for Natura 2000 sites: a multi-criteria approach to support decision makers. , 2014, Journal of environmental management.

[28]  Bulent Sengorur,et al.  Water Quality Assessment Using Multivariate Statistical Methods—A Case Study: Melen River System (Turkey) , 2010 .

[29]  Gordana Komazec,et al.  THE DANUBE AS A DEVELOPMENT RESOURCE - PERCEPTION AND ACTIVITIES OF LOCAL ADMINISTRATION , 2012 .

[30]  Jordi Pons,et al.  Framework for multi-criteria decision management in watershed restoration , 2012 .

[31]  P Barbieri,et al.  Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets. , 2007, Water research.

[32]  Jonathan E. Fieldsend,et al.  Visualisation of multi-class ROC surfaces , 2005 .

[33]  Jonathan E. Fieldsend,et al.  Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization , 2013, IEEE Transactions on Evolutionary Computation.

[34]  Kalyanmoy Deb,et al.  Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.

[35]  Aleksandar Popović,et al.  Assessment of the pseudo total metal content in alluvial sediments from Danube River, Serbia , 2011 .

[36]  Lisa Scholten,et al.  Strategic rehabilitation planning of piped water networks using multi-criteria decision analysis. , 2014, Water research.

[37]  Lisa Scholten,et al.  Tackling uncertainty in multi-criteria decision analysis - An application to water supply infrastructure planning , 2015, Eur. J. Oper. Res..

[38]  A. Moreira,et al.  Water quality index as a simple indicator of aquaculture effects on aquatic bodies , 2008 .

[39]  Andrea Castelletti,et al.  Visualization-based multi-objective improvement of environmental decision-making using linearization of response surfaces , 2010, Environ. Model. Softw..

[40]  Dejana Jakovljević,et al.  Serbian and Canadian water quality index of Danube river in Serbia in 2010 , 2012 .

[41]  Bogusław Buszewski,et al.  Application of chemometrics in river water classification. , 2006, Water research.

[42]  Marco Cinelli,et al.  Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment , 2014 .

[43]  Alexey L. Vasiliev,et al.  Development and implementation of ecologically safe technologies of obtaining drinking water , 2014 .

[44]  Pekka Korhonen,et al.  A pareto race , 1988 .

[45]  Sanaz Mostaghim,et al.  Heatmap Visualization of Population Based Multi Objective Algorithms , 2007, EMO.

[46]  Bruno Colomb,et al.  A guide for choosing the most appropriate method for multi-criteria assessment of agricultural systems according to decision-makers’ expectations , 2013 .

[47]  Maria Augusta Soares Machado,et al.  River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed, Brazil , 2009 .

[48]  Robert L. Mach,et al.  Microbiological water quality along the Danube River: integrating data from two whole-river surveys and a transnational monitoring network. , 2009, Water research.

[49]  Jonathan E. Fieldsend,et al.  Visualisation and ordering of many-objective populations , 2010, IEEE Congress on Evolutionary Computation.

[50]  Reza Kerachian,et al.  Ranking solutions of multi-objective reservoir operation optimization models using multi-criteria decision analysis , 2011, Expert Syst. Appl..

[51]  E Topuz,et al.  Integration of environmental and human health risk assessment for industries using hazardous materials: a quantitative multi criteria approach for environmental decision makers. , 2011, Environment international.

[52]  Peter J. Bentley,et al.  Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms , 1998 .

[53]  Aleksandar Popović,et al.  Speciations of trace metals in the Danube alluvial sediments within an oil refinery. , 2005, Environment international.

[54]  Emira Maljevic,et al.  Determining of mineral oil—petroleum hydrocarbons in river sediments , 2007 .

[55]  Dinesh Mohan,et al.  Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)--a case study. , 2004, Water research.

[56]  V. Micić,et al.  Natural, anthropogenic and fossil organic matter in river sediments and suspended particulate matter: a multi-molecular marker approach. , 2011, The Science of the total environment.

[57]  V. Simeonov,et al.  Assessment of the surface water quality in Northern Greece. , 2003, Water research.

[58]  Kathrin Klamroth,et al.  Pareto navigator for interactive nonlinear multiobjective optimization , 2010, OR Spectr..

[59]  Lorène Prost,et al.  Multi-criteria and multi-stakeholder assessment of cropping systems for a result-oriented water quality preservation action programme , 2015 .

[60]  M. T. Furse,et al.  The performance of a new biological water quality score system based on macroinvertebrates over a wide range of unpolluted running-water sites , 1983 .