Tytuł artykułu

Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia

Tytuł czasopisma

Archives of Environmental Protection

Rocznik

2015

Wolumin

vol. 41

Numer

No 4

Autorzy

Voza, Danijela ; Vukovic, Milovan ; Takic, Ljiljana ; Nikolic, Djordje ; Mladenovic-Ranisavljevic, Ivana

Słowa kluczowe

the Danube River ; water quality ; cluster analysis ; factor analysis ; principal component analysis

Wydział PAN

Nauki Techniczne

Wydawca

Polish Academy of Sciences

Data

2015[2015.01.01 AD - 2015.12.31 AD]

Typ

Artykuły / Articles

Identyfikator

DOI: 10.1515/aep-2015-0044 ; ISSN 2083-4772 ; eISSN 2083-4810

Źródło

Archives of Environmental Protection; 2015; vol. 41; No 4

Referencje

Takić (2012), Evaluation of the ecochemical status of the Danube in Serbia in terms of water quality parameters The Scientific World, Journal, doi.org/10.1100/2012/930737 ; Nelly (2004), Mac Hierarchical partitioning public - domain software and, Biodiversity Conservation, 13, 659, doi.org/10.1023/B:BIOC.0000009515.11717.0b ; Varanka (2012), Environmental determinants of water quality in boreal rivers based on partitioning methods and, River Research Applications, 28, 1034, doi.org/10.1002/rra.1502 ; Gudas (2013), Factors affecting seasonal and spatial patterns of water quality in Lithuanian rivers of and, Journal Environmental Engineering Landscape Management, 21, 26, doi.org/10.3846/16486897.2012.696058 ; Simeonov (2003), Assessment of the surface water quality in Northern Greece, Water Research, 37, 4119, doi.org/10.1016/S0043-1354(03)00398-1 ; Zhang (2011), Application of multivariate statistical techniques in the assessment of water quality in the Southwest New Territories and Kowloon Monitoring and Assessment, Environmental, 173, 17. ; Singh (2004), Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River ( India ) a case study, Water Research, 38, 3980, doi.org/10.1016/j.watres.2004.06.011 ; Vega (1998), Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis, Water Research, 32, 3581, doi.org/10.1016/S0043-1354(98)00138-9 ; Helena (2000), Temporal evolution of groundwater composition in an alluvial aquifer ( Pisuerga River by principal component analysis, Water Research, 34, 807, doi.org/10.1016/S0043-1354(99)00225-0 ; Wunderlin (2001), Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality A case study : Suquia river basin, Water Research, 35, 2881, doi.org/10.1016/S0043-1354(00)00592-3 ; Carpenter (1998), Nonpoint pollution of surface waters with phosphorous and nitrogen, Ecological Applications, 8, 559, doi.org/10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2 ; Ani (2011), Mathematical model to identify nitrogen variability in large rivers and, River Research Applications, 27, 1216, doi.org/10.1002/rra.1418 ; Pawellek (2002), Hydrochemistry and isotope geochemistry of the upper Danube River et Cosmoshimica, Geochimica Acta, 66, 3839, doi.org/10.1016/S0016-7037(01)00880-8 ; Simeonova (2003), Water quality study of the Struma River Basin of, Central European Journal Chemistry, 2, 121. ; Varol (2012), Water quality assessment and apportionment of pollution sources of Tigris river ( Turkey ) using multivariate statistical techniques a case study and, River Research Applications, 28, 1428, doi.org/10.1002/rra.1533 ; Brankov (2012), The assessment of the surface water quality using the Water Pollution Index : a case study of the Timok River ( the Danube River Basin ) of Environmental, Archives Protection, 38, 49. ; Liu (2003), Application of factor analysis in the assessment of groundwater quality in Blackfoot disease area in Taiwan of the, Science Total Environment, 313, 77, doi.org/10.1016/S0048-9697(02)00683-6 ; Onderka (2008), Retrieval of the suspended particulate matter concentrations in the Danube River from Landsat ETM data of the, Science Total Environment, 397, 238, doi.org/10.1016/j.scitotenv.2008.02.044 ; Reghunath (2002), The utility of multivariate statistical techniques in hydrogeochemical studies : an example from Karnataka India, Water Research, 36, 2437, doi.org/10.1016/S0043-1354(01)00490-0 ; Han (2009), The water quality management in the Nakdong River watershed using multivariate statistical techniques of, KSCE Journal Civil Engineering, 13, 97, doi.org/10.1007/s12205-009-0097-5 ; Woitke (2003), Analysis and assessment of heavy metal pollution in suspended solids and sediments of the River Danube, Chemosphere, 51, 633, doi.org/10.1016/S0045-6535(03)00217-0 ; Pejman (2009), Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques of and, International Journal Environmental Science Technology, 6, 467, doi.org/10.1007/BF03326086 ; Jarvie (1998), Nitrogen and phosphorous in east - coast British rivers : speciation sources and biological significance of the, Science Total Environment, 210. ; Guien (1998), On trace metal geochemistry in the Danube River and Western Black Sea Estaurine Coastal and Shelf, Science, 47, 471. ; Boyacioglu (2014), Spatial differentiation of water quality between reservoirs under anthropogenic and natural factors based on statistical approach of Environmental, Archives Protection, 40, 41. ; Otto (1998), Multivariate methods in Analytical VCH Weinheim, Chemistry.

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