2012
DOI: 10.1016/j.jenvman.2012.06.002
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Delimiting sub-areas in water bodies using multivariate data analysis on the example of Lake Balaton (W Hungary)

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Cited by 20 publications
(13 citation statements)
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“…In Hungary, even though the standard monitoring network for surface water quality has been operated for rivers and large lakes and satisfies the standards for confidence of Water Framework Directive, it ignores small watercourses and may not be adequate for precise and accurate characterization Assessing the flow alteration of temporary streams 7 for water quality (László et al 2007). Single surface waters are generally considered one 'water body' and is not a common practice of delineating them based on water quality parameters aside from some exceptions (Kovács et al 2012). Coastal water bodies in the Basque country were split into different stretches, using the salinity gradient as a characterization factor in order to fit the classification of the various water bodies to their hydrographical properties (Muxika et al 2007).…”
Section: Discussionmentioning
confidence: 99%
“…In Hungary, even though the standard monitoring network for surface water quality has been operated for rivers and large lakes and satisfies the standards for confidence of Water Framework Directive, it ignores small watercourses and may not be adequate for precise and accurate characterization Assessing the flow alteration of temporary streams 7 for water quality (László et al 2007). Single surface waters are generally considered one 'water body' and is not a common practice of delineating them based on water quality parameters aside from some exceptions (Kovács et al 2012). Coastal water bodies in the Basque country were split into different stretches, using the salinity gradient as a characterization factor in order to fit the classification of the various water bodies to their hydrographical properties (Muxika et al 2007).…”
Section: Discussionmentioning
confidence: 99%
“…Combining only CA and PCA, Fan et al (2010) and Razmkhah et al (2010) sought the spatio-temporal variability between riverine sampling sites. Hatvani et al (2011;2014a) also used CA to group similar sampling sites in the Kis-Balaton Water Protection System (the mitigation wetland of Lake Balaton, Hungary) and the shallow groundwater system of the Seewinkel (Hatvani et al 2014c), while Kovács et al (2012a) used a special coded CA to determine the water quality areas of Lake Balaton.…”
Section: Introductionmentioning
confidence: 99%
“…This is a widely known multivariate classification method in which each case starts in a separate cluster and joins up to the other clusters as the linkage distance grows, until only one cluster remains [41]. This method has been successfully applied in hydrology [42][43][44][45], hydrogeology [46], geology [47][48][49][50][51], chemistry [52] and anthropology [53] to find similar and homogeneous groups of observations. The validity of the groupings was verified using linear discriminant analysis (LDA), which separates the observations with linear planes resulting in a percentage of correctly classified cases [54,55].…”
Section: Discussionmentioning
confidence: 99%