25
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This study evaluates the characteristics of water along the Swat River, Northern Pakistan. For this purpose, water samples ( n = 30) were collected and analyzed for physicochemical parameters including heavy metals (HM). The mean concentrations of physicochemical parameters and HM were within the drinking water guideline values set by the World Health Organization (WHO 2011) except 34%, 60%, and 56% of copper (Cu), nickel (Ni), and lead (Pb), respectively. Pollution sources were identified by various multivariate statistical techniques including correlation analysis (CA) and principal component analysis (PCA) indicating different origins both naturally and anthropogenically. Results of the water quality index (WQI) ranged from 13.58 to 209 with an average value of 77 suggesting poor water quality for drinking and domestic purposes. The poor water quality was mainly related to high sodium (alkalinity) and salinity hazards showing > 27% and 20% water samples have poor alkalinity and salinity hazards, respectively. Hazard quotient (HQ) and hazard index (HI) were used to determine the health risk of HM in the study area. For water-related health risk, HQ ingestion, HQ dermal, and HI values were > 1, indicating noncarcinogenic health risk (NCR) posed by these HM to the exposed population.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found

          Mechanisms controlling world water chemistry.

          On the basis of analytical chemical data for numerous rain, river, lake, and ocean samples, the three major mechanisms controlling world surface water chemistry can be defined as atmospheric precipitation, rock dominance, and the evaporation-crystallization process.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Assessment of heavy metal contamination in sediments of the Tigris River (Turkey) using pollution indices and multivariate statistical techniques.

            Heavy metal concentrations in sediment samples from the Tigris River were determined to evaluate the level of contamination. The highest concentrations of metals were found at the first site due to metallic wastewater discharges from copper mine plant. Sediment pollution assessment was carried out using contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo) and enrichment factor (EF). The CF values for Co, Cu and Zn were >6 in sediments of the first site, which denotes a very high contamination by these metals. The PLIs indicated that all sites except the first site were moderately polluted. Cu, Co, Zn and Pb had the highest Igeo values, respectively. The mean EF values for all metals studied except Cr and Mn were >1.5 in the sediments of the Tigris River, suggesting anthropogenic impact on the metal levels in the river. The concentrations of Cr, Cu, Ni and Pb are likely to result in harmful effects on sediment-dwelling organisms which are expected to occur frequently based on the comparison with sediment quality guidelines. PCA/FA and cluster analysis suggest that As, Cd, Co, Cr, Cu, Mn, Ni and Zn are derived from the anthropogenic sources, particularly metallic discharges of the copper mine plant. Copyright © 2011 Elsevier B.V. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              An index-number system for rating water quality

                Bookmark

                Author and article information

                Contributors
                Jehanshah72@yahoo.com
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                4 July 2020
                4 July 2020
                2020
                : 27
                : 31
                : 38545-38558
                Affiliations
                [1 ]GRID grid.266976.a, ISNI 0000 0001 1882 0101, National Centre of Excellence in Geology, , University of Peshawar, ; Peshawar, 25130 Pakistan
                [2 ]GRID grid.266976.a, ISNI 0000 0001 1882 0101, Department of Environmental Sciences, , University of Peshawar, ; Peshawar, 25120 Pakistan
                [3 ]GRID grid.467118.d, ISNI 0000 0004 4660 5283, Department of Environmental Sciences, , University of Haripur, ; Haripur, 26620 Pakistan
                Author notes

                Responsible Editor: Xianliang Yi

                Article
                9688
                10.1007/s11356-020-09688-y
                7525278
                32623668
                c0d1d11c-dbb5-449f-9687-1b3a1d5e5cd2
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 October 2019
                : 10 June 2020
                Categories
                Research Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2020

                General environmental science
                water quality index (wqi) model,sodium adsorption ratio,principal component analysis,geostatistical techniques,human health risk assessment,swat river

                Comments

                Comment on this article