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Tytuł artykułu

Analysis of sediment’s quality of the Oława River in Poland using indices of heavy metals and statistical techniques

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This case study reports a dataset enabling the analysis of heavy metal concentrations in sediments collected in the Oława River basin. The focus is on the ecological risk associated with six metals: copper (Cu), zinc (Zn), lead (Pb), chromium (Cr), nickel (Ni), and cadmium (Cd). The key information on the pollution status of the aquatic environment is provided by the single- (EF, Igeo, and PI) and the multi-elemental (PLI, PINem, RI, and MERMQ) pollution indices, and statistical techniques such as Spearman’s correlation, the principal component analysis, and the cluster analysis. The sediments indicate the presence of Cu, Zn, Pb, and Ni, a smaller input of Cr, and the absence of Cd, according to criteria from the State Working Group on Water in Germany (the LAWA’s guidelines) and pollution indices. As assessed by the RI index and the sediment quality guidelines (the SQGs), the potential ecological risk is possible to occur at some sampling points as a result of uncontrolled emission of pollutants. This resource supports environmental monitoring, risk management, and comparative re-search of aquatic environments.
Rocznik
Strony
105--117
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
  • Wrocław University of Science and Technology, Faculty of Environmental Engineering, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
  • Wrocław University of Science and Technology, Faculty of Environmental Engineering, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
  • Wrocław University of Science and Technology, Faculty of Environmental Engineering, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
Bibliografia
  • [1] DRESHAJ LECAJ E., HASKAJ A., PAÇARIZI M., Pollution indicators of heavy metals in the sediments of the Lepenc River in Kosovo, Environ. Prot. Eng., 2024, 50 (3), 77–87. DOI: 10.37190/epe240305.
  • [2] KRISHNANKUTTY N., IDRIS M., HAMZAH F.M., MANAN Y., The chemical form and spatial variation of metals from sediment of Jem be rau mining region of Tasik Chini, Malaysia, Environ. Sci. Poll. Res., 2019, 26, 25046–25056. DOI: 10.1007/s11356-019-05680-3.
  • [3] FERATI F., KEROLLI-MUSTAFA M., KRAJA-YLLI A., Assessment of heavy metal contamination in water and sediments of Trepça and Sitnica rivers, Kosovo, using pollution indicators and multivariate cluster analysis, Environ. Monit. Assess., 2015, 187, 1–15. DOI: 10.1007/s10661-015-4524-4.
  • [4] LAHA F., GASHI F., MUSLIU A., Chemical assessment and spatial distribution of selected elements in aquatic sediments in the region of Peja (Kosovo), Environ. Prot. Eng., 2024, 50 (1), 139–160. DOI: 10.37190/epe240108.
  • [5] PAPADOPOULOU-VRYNIOTI K., ALEXAKIS D., BATHRELLOS G.D., SKILODIMOU H.D., VRYNIOTIS D., VASSILIADES E., GAMVROULA D., Distribution of trace elements in stream sediments of Arta plain (western Hellas): the influence of geomorphological parameters, J. Geochem. Explor., 2013, 134, 17–26. DOI: 10.1016/j.gexplo.2013.07.007.
  • [6] PEJMAN A., BIDHENDI G.N., ARDESTANI M., SAEEDI M., BAGHVAND A., A new index for assessing heavy metals contamination in sediments. A case study, Ecol. Ind., 2015, 58, 365–373. DOI: 10.1016/j.ecolind.2015.06.012.
  • [7] KOWALSKA J.B., MAZUREK R., GĄSIOREK M., ZALESKI T., Pollution indices as useful tools for the comprehensive evaluation of the degree of soil contamination. A review, Environ. Geochem. Health, 2018, 40 (6), 2395–2420. DOI: 10.1007/s10653-018-0106-z.
  • [8] HOŁTRA A., ZAMORSKA-WOJDYŁA D., FERENC Z., Assessment of soil contamination by roof runoff. A case study from Wrocław, Poland, Environ. Prot. Eng., 2025, 51 (1), 93–103. DOI: 10.37190/epe250106.
  • [9] SOARES H.M.V.M., BOAVENTURA R., MACHADO A.A., ESTEVES DA SILVA J.C.G., Sediments as monitors of heavy metal contamination in the Ave river basin (Portugal): multivariate analysis of data, Environ. Pollut., 1999, 105 (3), 311–323. DOI: 10.1016/S0269-7491(99)00048-2.
  • [10] KARROUMA L.A., EL BAGHDADIA M., BARAKATA A., MEDDAHB R., AADRAOUIA M., OUMENSKOUA H., ENNAJI W., Assessment of surface water quality using multivariate statistical techniques: EL Abid River, Middle Atlas, Morocco as a case study, Desalin. Water Treat., 2019, 143, 118–125. DOI: 10.5004 /dwt.2019.23532.
  • [11] HAMIL S., ARAB S., CHAFFAI A., BAHA M., ARAB A., Assessment of surface water quality using multi-variate statistical analysis techniques: A case study from Ghrib dam, Algeria, Arab. J. Geosci., 2018, 11, 754. DOI: 10.1007/s12517-018-4102-5.
  • [12] SHRESTHA S., KAZAMA F., Assessment of surface water quality using multivariate statistical techniques, a case study of the Fuji river basin, Japan, Environ. Modell. Softw., 2007, 22, 464–475. DOI: 10.1016/j.envsoft.2006.02.001.
  • [13] PN–ISO 11047: 2001, Polish version. Soil Quality – Determination of Cadmium, Chromium, Cobalt, Copper, Lead, Manganese, Nickel and Zinc in Soil Extracts with Aqua Regia – Flame and Electro-thermic Atomic Absorption Spectrometry Methods.
  • [14] Länder-Arbeitsgemeinschaft Wasser (LAWA). Assessment of the Water Quality of Flowing Waters in the Federal Republic of Germany – Chemical Water Quality Classification, Target Values for the Protection of Surface Inland Waters, Vol. 2, Berlin 1998, 10, 26 (pdf), https://www.lawa.de/documents /beurteilung_der_wasserbeschaffenheit_von_fliessgewaessern_in_der_brd_1552305559.pdf [access on 20.01.2025] (in German).
  • [15] HENRY R.C., Multivariate receptor models, current practice and future trends, Chemom. Intell. Lab. Syst., 2002, 60 (1–2), 43–48. DOI: 10.1016/S0169-7439(01)00184-8.
  • [16] SALMINEN R., BATISTA M.J., BIDOVEC M., DEMETRIADES A., DE VIVO B., DE VOS W., DURIS M., GILUCIS A., GREGORAUSKIENE V., HALAMIC J., HEITZMANN P., LIMA A., JORDAN G., KLAVER G., KLEIN P., LIS T., LOCUTURA J., MARSINA J., MAZREKU K., O’CONNOR A., OLSSON P.J., OTTESEN S.Å., PETERSELL R.T., PLANT V., REEDER J.A., SALPETEUR S., SANDSTRÖM I., SIEWERS H., STEENFELT U., TARVAINEN A., Geochemical Atlas of Europe. Part 1. Background Information, Methodology and Maps, Geological Survey of Finland, Espoo, Finland, 2005, http://weppi.gtk.fi/publ/foregsatlas /article.php?id=15 [access on 20.01.2025].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0693dfbc-7fe0-4095-ac89-a00a60479b4d
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