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Spatial distribution, eco-environmental risks, and source characterization of heavy metals using compositional data analysis in riverine sediments of a Himalayan river, Northern Pakistan

  • Sediments, Sec 1 • Sediment Quality and Impact Assessment • Research Article
  • Published:
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Abstract

Purpose

Riverine sediments are an important component of the aquatic environment as they play an essential role in influencing its eco-environmental functions. Sediments may serve as both the source and sink of heavy metals (HM). The Astore River basin is located in the Himalayas, northern Pakistan. The area is frequented by a high number of tourists and is characterized by a fragile biophysical system. This study aimed to assess the occurrence, spatial patterns, and potential sources of HM in the sediments of the Astore River network.

Methods

Thirty-nine samples from the Astore River and its tributaries were collected and analyzed for nine HM (Fe, Mn, Cu, Zn, Cd, Cu, Co, Pb, and Ni) using atomic absorption spectrometry. Various modified indices, i.e., modified ecological risk index (mERI) and modified sediments pollution index (mSPI), were utilized to assess the sediment ecological and pollution risks. The data were subjected to compositional data analysis (Coda) using the R program for the source characterization of HM.

Results

The results indicated that among the HM, Fe and Cd had the highest and lowest concentrations, respectively. Mn contributed the most to the pollution of the sediments, while Cd has the highest potential ecological impact. The mSPI indicated that the sediments were either in their natural state or showed low to moderate contamination, while only 2.5% were classified as extremely polluted. At the same time, 12.8% of the samples were categorized in the high pollution class. The ecological risk, however, showed more profound and negative bearings on the sediment quality as 33.3% and 2.5% of the samples showed considerable to high ecological risks. The spatial distribution of HM and the modified indices indicated Deosai valley as the zone of concern for management and abatement options.

Conclusion

Overall, this study concluded that the major contribution to HM concentration in the area was from natural sources. However, in the case of Cd and Zn, an amplification in concentration due to anthropic factors was noted. Mn and Cd stood out as the major contaminants posing profound ecological risks. A differential spatial pattern of HM contamination in valleys suggested the need for targeted and specific management plans for prevention.

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Data availability

The data supporting this study’s findings are available from the corresponding author upon reasonable request.

Code availability

It is not applicable.

References

  • Aguilar-Pesantes A, Peña Carpio E, Vitvar T, María Mahamud López M, Menéndez-Aguado JM (2019) A multi-index analysis approach to heavy metal pollution assessment in river sediments in the Ponce Enríquez Area. Ecuador Water 11:590

    Google Scholar 

  • Ahmad K, Muhammad S, Ali W, Jadoon IAK, Rasool A (2020) Occurrence, source identification and potential risk evaluation of heavy metals in sediments of the Hunza River and its tributaries. Gilgit-Baltistan Environ Technol Innov 18:100700

    Article  Google Scholar 

  • Ahmad L, Khan SD, Tahir Shah M, Jehan N (2018) Gold mineralization in bubin area, Gilgit-Baltistan, northern areas, Pakistan. Arab J Geosci 11:1–12

    Article  Google Scholar 

  • Akhtar M, Ahmad N, Booij MJ (2008) The impact of climate change on the water resources of Hindukush–Karakorum–Himalaya region under different glacier coverage scenarios. J Hydrol 355:148–163

    Article  Google Scholar 

  • Ali H, Khan E (2019) Trophic transfer, bioaccumulation, and biomagnification of non-essential hazardous heavy metals and metalloids in food chains/webs—Concepts and implications for wildlife and human health. Hum Ecol Risk Assess 25:1353–1376

    Article  CAS  Google Scholar 

  • Ali W, Muhammad S (2022) Spatial distribution of contaminants and water quality assessment using an indexical approach, Astore River basin, Western Himalayas, Northern Pakistan. Geocarto Int. https://doi.org/10.1080/10106049.2022.2086628

  • Amin S, Muhammad S, Fatima H (2021) Evaluation and risks assessment of potentially toxic elements in water and sediment of the Dor River and its tributaries. Northern Pakistan Environ Technol Innov 21:101333

    Article  CAS  Google Scholar 

  • Brady JP, Ayoko GA, Martens WN, Goonetilleke A (2015) Development of a hybrid pollution index for heavy metals in marine and estuarine sediments. Environ Monit Assess 187:1–14

    Article  Google Scholar 

  • Cardoso SJ, Quadra GR, Resende NdS, Roland F (2019) The role of sediments in the carbon and pollutant cycles in aquatic ecosystems. Acta Limnol Bras 31

  • Chakraborty TK, Hossain MR, Ghosh GC, Ghosh P, Sadik A, Habib A, Zaman S, Enamul Kabir AHM, Khan AS, Rahman MM (2022) Distribution, source identification and potential ecological risk of heavy metals in surface sediments of the Mongla port area, Bangladesh. Toxin Rev 41:834–845

    Article  CAS  Google Scholar 

  • Choudhury TR, Acter T, Uddin N, Kamal M, Chowdhury AMS, Rahman MS (2021) Heavy metals contamination of river water and sediments in the mangrove forest ecosystems in Bangladesh: a consequence of oil spill incident. Environ Nanotechnol Monit Manag 16:100484

    CAS  Google Scholar 

  • Duodu GO, Goonetilleke A, Ayoko GA (2016) Comparison of pollution indices for the assessment of heavy metal in Brisbane River sediment. Environ Pollut 219:1077–1091

    Article  CAS  Google Scholar 

  • El-Zokm GM, Al-Mur BA, Okbah MA (2020) Ecological risk indices for heavy metal pollution assessment in marine sediments of Jeddah Coast in the Red Sea. Int J Environ Anal Chem. https://doi.org/10.1080/03067319.2020.1784888

    Article  Google Scholar 

  • Epskamp S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D (2012) qgraph: Network visualizations of relationships in psychometric data. J Stat Softw 48:1–18

    Article  Google Scholar 

  • Gozzi C, Dakos V, Buccianti A, Vaselli O (2021): Are geochemical regime shifts identifiable in river waters? Exploring the compositional dynamics of the Tiber River (Italy) Sci Total Environ 785:147268

  • Gozzi C, Filzmoser P, Buccianti A, Vaselli O, Nisi B (2019) Statistical methods for the geochemical characterisation of surface waters: the case study of the Tiber River basin (Central Italy). Comput Geosci 131:80–88

    Article  CAS  Google Scholar 

  • Graziano RS, Gozzi C, Buccianti A (2020) Is compositional data analysis (CoDA) a theory able to discover complex dynamics in aqueous geochemical systems? J Geochem Explor 211:106465

    Article  Google Scholar 

  • Haq AU, Muhammad S (2021) Spatial distribution of heavy metals contamination and risk indices evaluation in sediments of Indus River and its tributaries, Pakistan. Geocarto Int. https://doi.org/10.1080/10106049.2021.2019835

  • Hauer C, Leitner P, Unfer G, Pulg U, Habersack H, Graf W (2018) The role of sediment and sediment dynamics in the aquatic environment, Riverine ecosystem management. Springer, Cham. 151–169

  • He Z, Li F, Dominech S, Wen X, Yang S (2019) Heavy metals of surface sediments in the Changjiang (Yangtze River) Estuary: distribution, speciation and environmental risks. J Geochem Explor 198:18–28

    Article  CAS  Google Scholar 

  • Hernroth B, Tassidis H, Baden SP (2020) Immunosuppression of aquatic organisms exposed to elevated levels of manganese: from global to molecular perspective. Dev Comp Immunol 104:103536

    Article  CAS  Google Scholar 

  • Huang C-W, Yen P-L, How CM, Chai ZY, Liao VH-C (2021) Levels of bioavailable manganese in river sediment may elevate reproductive risk in model organism Caenorhabditis elegans. Aquat Toxicol 239:105958

    Article  CAS  Google Scholar 

  • Iordache AM, Nechita C, Zgavarogea R, Voica C, Varlam M, Ionete RE (2022) Accumulation and ecotoxicological risk assessment of heavy metals in surface sediments of the Olt River, Romania. Sci Rep. https://doi.org/10.1038/s41598-022-04865-0

  • Kassambara A, Mundt F (2017) Factoextra: extract and visualize the results of multivariate data analyses. R Package Version 1:337–354

    Google Scholar 

  • Kazmi AH, Jan MQ (1997) Geology and tectonics of Pakistan. Graphic publishers

  • Kumar V, Sharma A, Pandita S, Bhardwaj R, Thukral AK, Cerda A (2020) A review of ecological risk assessment and associated health risks with heavy metals in sediment from India. Int J Sediment Res 35:516–526

    Article  Google Scholar 

  • Li MZ, Sun Q, Karki X, Zeng K, Pandey C, Rawat A, Fan BZ, (2020) Heavy metals in surface sediments in the trans-Himalayan Koshi River catchment: distribution source identification and pollution assessment. Chemosphere 244–125410. https://doi.org/10.1016/j.chemosphere.2019.125410

  • Liu X, Dadzie AA, Yuan L, Xing S, Zhou X, Xiao S (2022) Analysis and potential ecological risk assessment of heavy metals in surface sediments of the freshwater ecosystem in Zhenjiang City, China. SN Appl Sci 4:1–15

    Article  CAS  Google Scholar 

  • Liu Y, Cheng Q, Zhou K, Xia Q, Wang X (2016) Multivariate analysis for geochemical process identification using stream sediment geochemical data: a perspective from compositional data. Geochem J 50:293–314

    Article  CAS  Google Scholar 

  • Macdonald DD, Carr RS, Calder FD, Long ER, Ingersoll CG (1996) Development and evaluation of sediment quality guidelines for Florida coastal waters. Ecotoxicology 5(4):253–278. https://doi.org/10.1007/BF00118995

  • MacDonald DD, Ingersoll CG, Berger TA (2000) Development and evaluation of consensus-based sediment quality guidelines for freshwater ecosystems. Arch Environ Contam Toxicol 39:20–31

    Article  CAS  Google Scholar 

  • Martin J-M, Meybeck M (1979) Elemental mass-balance of material carried by major world rivers. Mar Chem 7:173–206

    Article  CAS  Google Scholar 

  • Muhammad S, Ullah R (2022) Spatial distribution of heavy metals contamination in sediments of alpine lakes and potential risk indices, Northern Pakistan. Int J Environ Anal Chem. https://doi.org/10.1080/03067319.2022.2042527

  • Muhammad S, Ullah S, Ali W, Jadoon IAK, Arif M (2022) Spatial distribution of heavy metal and risk indices of water and sediments in the Kunhar River and its tributaries. Geocarto Int 37:5985–6003

    Article  Google Scholar 

  • Pejman A, Bidhendi GN, Ardestani M, Saeedi M, Baghvand A (2015) A new index for assessing heavy metals contamination in sediments: a case study. Ecol Indic 58:365–373

    Article  CAS  Google Scholar 

  • Persaud D, Jaagumagi R, Hayton A (1993) Guidelines for the protection and management of aquatic sediment quality in Ontario

  • Proshad R, Kormoker T, Al MA, Islam MS, Khadka S, Idris AM (2022) Receptor model-based source apportionment and ecological risk of metals in sediments of an urban river in Bangladesh. J Hazard Mater 423:127030

    Article  CAS  Google Scholar 

  • Rajeshkumar S, Li X (2018) Bioaccumulation of heavy metals in fish species from the Meiliang Bay, Taihu Lake, China. Toxicol Rep 5:288–295

    Article  CAS  Google Scholar 

  • Saikia BJ, Parthasarathy G, Borah RR (2022) Geoenvironment and weathering of silicate minerals in sediments of the Brahmaputra river, India: implications for heavy metal pollution assessment. Geo Geo 1:100065

    Google Scholar 

  • Salomão GN, Dall’Agnol R, Angelica RS, Sahoo PK, Wang X (2021) Geochemical mapping in stream sediments of the Carajás Mineral Province, part 2: multi-element geochemical signatures using compositional data analysis (CoDA). J S Am Earth Sci 110:103361

    Article  Google Scholar 

  • Salomons W, Stigliani WM (2012) Biogeodynamics of pollutants in soils and sediments: risk assessment of delayed and non-linear responses. Springer Sci Bus Media

  • Schweizer M, Dieterich A, Corral Morillas N, Dewald C, Miksch L, Nelson S, Wick A, Triebskorn R, Köhler H-R (2018) The importance of sediments in ecological quality assessment of stream headwaters: embryotoxicity along the Nidda River and its tributaries in Central Hesse, Germany. Environ Sci Eur 30:1–18

    Article  CAS  Google Scholar 

  • Singh M, Müller G, Singh IB (2002) Heavy metals in freshly deposited stream sediments of rivers associated with urbanisation of the Ganga Plain, India. Wat Air Soil Poll 141:35–54

    Article  CAS  Google Scholar 

  • Somma R, Ebrahimi P, Troise C, De Natale G, Guarino A, Cicchella D, Albanese S (2021) The first application of compositional data analysis (CoDA) in a multivariate perspective for detection of pollution source in sea sediments: The Pozzuoli Bay (Italy) case study. Chemosphere 274:129955

    Article  CAS  Google Scholar 

  • Tamilmani A, Venkatesan G (2021) Assessment of trace metals and its pollution load indicators in water and sediments between Upper and Grand Anicuts in the Cauvery. Int J Environ Sci Technol 18:3807–3818

    Article  CAS  Google Scholar 

  • Templ M, Hron K, Filzmoser P (2011) robCompositions: an R-package for robust statistical analysis of compositional data

  • Turekian KK, Wedepohl KH (1961) Distribution of the elements in some major units of the earth’s crust. Geol Soc Am Bull 72:175–192

    Article  CAS  Google Scholar 

  • Usman QA, Muhammad S, Ali W, Yousaf S, Jadoon IAK (2021) Spatial distribution and provenance of heavy metal contamination in the sediments of the Indus River and its tributaries, North Pakistan: evaluation of pollution and potential risks. Environ Technol Innov 21:101184

    Article  CAS  Google Scholar 

  • Ustaoğlu F, Islam MS, Tokatli C (2022) Ecological and probabilistic human health hazard assessment of heavy metals in Sera Lake Nature Park sediments (Trabzon, Turkey). Arab J Geosci 15:1–15

    Article  Google Scholar 

  • Zhang H, Reynolds M (2019) Cadmium exposure in living organisms: a short review. Sci Total Environ 678:761–767

    Article  CAS  Google Scholar 

  • Zhang S, Chen B, Du J, Wang T, Shi H, Wang F (2022) Distribution, assessment, and source of heavy metals in sediments of the Qinjiang River, China. Int J Environ Res Public Health 19:9140

    Article  CAS  Google Scholar 

  • Zhou Q, Yang N, Li Y, Ren B, Ding X, Bian H, Yao X (2020) Total concentrations and sources of heavy metal pollution in global river and lake water bodies from 1972 to 2017. Glob Ecol Conserv 22:e00925

    Article  Google Scholar 

  • Zhuang W, Liu Y, Chen Q, Wang Q, Zhou F (2016) A new index for assessing heavy metal contamination in sediments of the Beijing-Hangzhou Grand Canal (Zaozhuang Segment): a case study. Ecol Indic 69:252–260

    Article  CAS  Google Scholar 

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Funding

Financial support of the Higher Education Commission, Pakistan, for project Ref # 20–17208/NRPU/R&D/HEC/2021 is highly acknowledged.

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Authors and Affiliations

  1. National Centre of Excellence in Geology, University of Peshawar, Peshawar, 25130, Pakistan

    Wajid Ali & Said Muhammad

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  1. Wajid Ali
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Contributions

Fieldwork, laboratory analysis, data analysis, visualization, interpretation, data curation, and writing original draft were done by Wajid Ali. Conceptualization of this study, funding acquisition, methodology, project administration, resources, software, supervision, and writing—review and editing of the manuscript were done by Said Muhammad.

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Correspondence to Said Muhammad.

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Ali, W., Muhammad, S. Spatial distribution, eco-environmental risks, and source characterization of heavy metals using compositional data analysis in riverine sediments of a Himalayan river, Northern Pakistan. J Soils Sediments 23, 2244–2257 (2023). https://doi.org/10.1007/s11368-023-03484-0

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