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Environmental Geochemistry and Health

, Volume 40, Issue 6, pp 2303–2324 | Cite as

Heavy metal speciation, leaching and toxicity status of a tropical rain-fed river Damodar, India

  • Divya Pal
  • Subodh Kumar Maiti
Original Paper

Abstract

Speciations of metals were assessed in a tropical rain-fed river, flowing through the highly economically important part of the India. The pattern of distribution of heavy metals (Cd, Co, Cr, Cu, Mn, Ni, Pb and Zn) were evaluated in water and sediment along with mineralogical characterization, changes with different water quality parameters and their respective health hazard to the local population along the Damodar River basin during pre-monsoon and post-monsoon seasons. The outcome of the speciation analysis using MINTEQ indicated that free metal ions, carbonate, chloride and sulfate ions were predominantly in anionic inorganic fractions, while in cationic inorganic fractions metal loads were negligible. Metals loads were higher in sediment phase than in the aqueous phase. The estimated values of Igeo in river sediment during both the seasons showed that most of the metals were found in the Igeo class 0–1 which represents unpolluted to moderately polluted sediment status. The result of partition coefficient indicated the strong retention capability of Cr, Pb, Co and Mn, while Cd, Zn, Cu and Ni have resilient mobility capacity. The mineralogical analysis of sediment samples indicated that in Damodar River, quartz, kaolinite and calcite minerals were dominantly present. The hazard index values of Cd, Co and Cr were > 1 in river water, which suggested potential health risk for the children. A combination of pragmatic, computational and statistical relationship between ionic species and fractions of metals represented a strong persuasion for identifying the alikeness among the different sites of the river.

Keywords

Health risk Heavy metals Leaching potential Mineral characterization MINTEQ 

Notes

Acknowledgements

The authors would like to thank Indian Institute of Technology (IIT-ISM), Dhanbad, India, for providing the research facility and the scholarship to the main author. Authors would also like to thank CRF, IIT Kharagpur, India, for the XRD analysis of samples.

Supplementary material

10653_2018_97_MOESM1_ESM.docx (28 kb)
Supplementary material 1 (DOCX 29 kb)

References

  1. Aktar, M. W., Paramasivam, M., Ganguly, M., Purkait, S., & Sengupta, D. (2010). Assessment and occurrence of various heavy metals in surface water of Ganga River around Kolkata: A study for toxicity and ecological impact. Environmental Monitoring Assessment, 160, 207–213.CrossRefGoogle Scholar
  2. Allison, J. D., & Allison, T. L. (2005). Partition coefficients for metals in surface water, soil, and waste. Washington, DC: Prepared for U.S. EPA Office of 355 Research and Development.Google Scholar
  3. Almas, A. R., Lombnaes, P., Sogn, T. A., & Mulder, J. (2006). Speciation of Cd and Zn in contaminated soils assessed by DGT-DIFS, and WHAM/MODEL VI in relation to uptake by Spinach and Ryegrass. Chemosphere, 62, 1647–1655.CrossRefGoogle Scholar
  4. Ammann, A. A., Michalke, B., & Schramel, P. (2002). Speciation of heavy metals in environmental water by ion chromatography coupled to ICP-MS. Analytical and Bioanalytical Chemistry, 372, 448–452.CrossRefGoogle Scholar
  5. APHA. (2012). Standard methods for the examination of water and wastewater (20th ed.). Washington, DC: American Public Health Association.Google Scholar
  6. Balls, P. W. (1989). The partition of trace metals between dissolved and particulate phases in european coastalwaters: A compilation offield data and comparison with laboratory studies. Netherlands Journal of Sea Research, 23, 7–14.CrossRefGoogle Scholar
  7. Banerjee, U. S., & Gupta, S. (2013). Impact of industrial waste effluents on river Damodar adjacent to Durgapur industrial complex, West Bengal, India. Environmental Monitoring and Assessment, 185, 2083–2094.CrossRefGoogle Scholar
  8. Bhuiyan, M. A. H., Dampare, S. B., Islam, M. A., & Suzuki, S. (2015). Source apportionment and pollution evaluation of heavy metals in water and sediments of Buriganga River, Bangladesh, using multivariate analysis and pollution evaluation indices. Environmental Monitoring Assessment, 187, 4075.CrossRefGoogle Scholar
  9. Bingham, F. T., Sposito, G., & Strong, J. E. (1984). The effect of chloride on the availability of cadmium. Journal of Environmental Quality, 13, 71–74.CrossRefGoogle Scholar
  10. BIS (Bureau of Indian Standards) (2012). Standards for drinking water, IS:10500.Google Scholar
  11. Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., & Smith, V. H. (1998). Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications, 8, 559–568.CrossRefGoogle Scholar
  12. Chandra, D. (1992). Mineral resources on India 5: Jharia coalfields. Geological Society of India, Bangalore.Google Scholar
  13. Dawson, J. J. C., Tetzlaff, D., Carey, A. M., Raab, A., Soulsby, C., Killham, K., et al. (2010). Characterizing Pb mobilization from upland soils to streams using 206Pb/207Pb isotope ratios. Environmental Science and Technology, 44, 243–249.CrossRefGoogle Scholar
  14. De Miguel, E., Iribarren, I., Chacon, E., Ordonez, A., & Charlesworth, S. (2007). Risk-based evaluation of the exposure of children to trace elements in playgrounds in Madrid (Spain). Chemosphere, 66, 505–513.CrossRefGoogle Scholar
  15. Giri, S., & Singh, A. K. (2014). Risk assessment, statistical source identification and seasonal fluctuation of dissolved metals in the Subarnarekha River, India. Journal of Hazardous Material, 265, 305–314.CrossRefGoogle Scholar
  16. Gogoi, A., Chaminda, G. T., An, A. K., Snow, D. D., Li, Y., & Kumar, M. (2016). Influence of ligands on metal speciation, transport and toxicity in a tropical river during wet (monsoon) period. Chemosphere, 163, 22–333.CrossRefGoogle Scholar
  17. Gormley-Gallagher, A. M., Douglas, R. W., & Rippey, B. (2015). The applicability of the distribution coefficient, KD, based on non-aggregated particulate samples from lakes with low suspended solids concentrations. PLoS ONE, 10, 0133069.CrossRefGoogle Scholar
  18. Jain, S. K., Agarwal, P. K., & Singh, V. P. (2007). Hydrology and water resources of India. Dordrecht: Springer.Google Scholar
  19. Jiang, L., Schofield, O. M. E., & Falkowski, P. G. (2005). Adaptive evolution of phytoplankton cell size. American Naturalist, 166, 496–505.CrossRefGoogle Scholar
  20. Karadede-Akin, H., & Ünlü, E. (2007). Heavy metal concentrations in water, sediment, fish and some benthic organisms from Tigris River, Turkey. Environmental Monitoring Assessment, 131, 323–337.CrossRefGoogle Scholar
  21. Klavinš, M., Briede, A., Rodinov, V., Kokorite, I., Parele, E., & Klavina, I. (2000). Heavy metals in rivers of Latvia. Science of the Total Environment, 262, 175–183.CrossRefGoogle Scholar
  22. Kumar, M., Furumai, H., Kurisu, F., & Kasuga, I. (2013). Tracing source and distribution of heavy metals in road dust, soil and soakaway sediment through speciation and isotope finger printing. Geoderma, 211–212, 8–17.CrossRefGoogle Scholar
  23. Li, S., & Zhang, Q. (2010). Risk assessment and seasonal variations of dissolved trace elements and heavy metals in the Upper Han River, China. Journal of Hazardous Material, 181, 1051–1058.CrossRefGoogle Scholar
  24. Mahato, M. K., Singh, G., Singh, P. K., Singh, A. K., & Tiwari, A. K. (2017). Assessment of mine water quality using heavy metal pollution index in a coal mining area of Damodar River Basin, India. Bulletin of Environmental Contamination and Toxicology, 99, 54–61.CrossRefGoogle Scholar
  25. Mohanty, D., & Samanta, L. (2016). Multivariate analysis of potential biomarkers of oxidative stress in Notopterus notopterus tissues from Mahanadi River as a function of concentration of heavy metals. Chemosphere, 155, 28–38.CrossRefGoogle Scholar
  26. Monferran, M. V., Garnero, P. L., Wunderlin, D. A., & de los Angeles Bistoni, M. (2016). Potential human health risks from metals and as via Odontesthes bonariensis consumption and ecological risk assessments in a Eutrophic lake. Ecotoxicology and Environmental Safety, 129, 302–310.CrossRefGoogle Scholar
  27. Muller, G. (1979). Heavy metals in the sediment of the Rhine-Changes Seity. Umschau in Wissenschaft und Technik, 79, 778–783.Google Scholar
  28. Murakami, M., Fumiyuki, N., & Furumai, H. (2009). The sorption of heavy metal species by sediments in soakaways receiving urban road runoff. Chemosphere, 70, 2099–2109.CrossRefGoogle Scholar
  29. Nguyen, T. H., Goss, K., & Ball, W. P. (2005). Polyparameter linear free energy relationships for estimating the equilibrium partition of organic compounds between water and the natural organic matter in soils and sediments. Environmental Science and Technology, 39, 913–924.CrossRefGoogle Scholar
  30. Olias, M., Nieto, J. M., Sarmiento, A. M., Ceron, J. C., & Canovas, C. R. (2004). Seasonal water quality variations in a river affected by acid mine drainage: The Odiel River (South West Spain). Science of the Total Environment, 333, 267–281.CrossRefGoogle Scholar
  31. Opuene, K., & Agbozu, I. E. (2008). Relationships between heavy metals in shrimp (Macro brachium felicinum) and metal levels in the water column and sediments of Taylor Creek. International Journal of Environmental Research, 2, 343–348.Google Scholar
  32. Pal, D., & Maiti, S. K. (2017). Evaluation of potential human health risks from toxic metals via consumption of cultured fish species Labeo rohita: A case study from an urban aquaculture pond. Exposure and Health.  https://doi.org/10.1007/s12403-017-0264-8.CrossRefGoogle Scholar
  33. Pal, D., & Maiti, S. K. (2018). Seasonal variation of heavy metals in water, sediment, and highly consumed cultured fish (Labeo rohita and Labeo bata) and potential health risk assessment in aquaculture pond of the coal city, Dhanbad (India). Environmental Science and Pollution Research.  https://doi.org/10.1007/s11356-018-1424-5.CrossRefGoogle Scholar
  34. Rahman, M. S., Saha, N., & Molla, A. H. (2014). Potential ecological risk assessment of heavy metal contamination in sediment and water body around Dhaka export processing zone, Bangladesh. Environmental Earth Science, 71, 2293–2308.CrossRefGoogle Scholar
  35. Raj, D., Chowdhury, A., & Maiti, S. K. (2017). Ecological risk assessment of mercury and other heavy metals in soils of coal mining area: A case study from the eastern part of a Jharia coal field, India. Human and Ecological Risk Assessment: An International Journal, 23(4), 767–787.CrossRefGoogle Scholar
  36. Ramasamy, V., Paramasivam, K., Suresh, G., & Jose, M. T. (2014). Function of minerals in the natural radioactivity level of Vaigai river sediments, Tamilnadu, India—Spectroscopical approach. Spectrochimica Acta Molecular and Biomolecular Spectroscopy, 117, 340–350.CrossRefGoogle Scholar
  37. Ramasamy, V., Suresh, G., Meenakshisundaram, V., & Ponnusamy, V. (2011). Horizontal and vertical characterization of radionuclides and minerals in river sediments. Applied Radiation Isotope, 69, 184–195.CrossRefGoogle Scholar
  38. Rodriguez-Proteau, R., & Grant, R. L. (2005). Toxicity evaluation and human health risk assessment of surface and ground water contaminated by recycled hazardous waste materials. In T. A. Kassim (Ed.), Handbook of environmental chemistry, water pollution series 5/Part F (pp. 133–189). Heidelberg: Springer.Google Scholar
  39. Saikia, B. J., Goswami, S. R., & Borah, R. R. (2014). Estimation of heavy metals contamination and silicate mineral distributions in suspended sediments of Subansiri river. International Journal of Physical Science, 9, 475–486.Google Scholar
  40. Saikia, B. J., Parthasarathy, G., Borah, R. R., & Borthakur, R. (2016). Raman and FTIR spectroscopic evaluation of clay minerals and estimation of metal contaminations in natural deposition of surface sediments from Brahmaputra river. International Journal of Geology, 7, 873.Google Scholar
  41. Sharma, N. L., & Ram. K. S. V. (1966). Introduction to the geology of coal & Indian coalfields. Orient Publishers, Jaipur.Google Scholar
  42. Singh, A. K., Hasnain, S. I., & Banerjee, D. K. (1999). Grain size and geochemical partitioning of heavy metals in sediments of the Damodar River—A tributary of the lower Ganga, India. Environmental Geology, 39, 90–98.CrossRefGoogle Scholar
  43. Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (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, 3980–3992.CrossRefGoogle Scholar
  44. Singh, K. P., Malik, A., Singh, V. K., Basant, N., & Sinha, S. (2006). Multi-way modeling of hydro-chemical data of an alluvial river system—A case study. Analytica Chimica Acta, 571, 248–259.CrossRefGoogle Scholar
  45. Singh, A. K., Mahato, M. K., Neogi, B., Tewary, B. K., & Sinha, A. (2012). Environmental geochemistry and quality assessment of mine water of Jharia coalfield, India. Environmental Earth Sciences, 65, 49–65.CrossRefGoogle Scholar
  46. Summer, M. E. (1995). Handbook of soil science (pp. 22–67). New York: CRC Press.Google Scholar
  47. Sundaray, S. K. (2010). Application of multivariate statistical techniques in hydrogeochemical studies—A case study: Brahmani-Koel River (India). Environmental Monitoring Assessment, 164, 297–310.CrossRefGoogle Scholar
  48. Suthar, S., Nema, A. K., Chabukdhara, M., & Gupta, S. K. (2009). Assessment of metals in water and sediments of Hindon River, India: Impact of industrial and urban discharges. Journal of Hazardous Material, 171, 1088–1095.CrossRefGoogle Scholar
  49. Turekian, K. K., & Wedepohl, K. H. (1961). Distribution of the elements in some major units of the Earth’s crust. Geological Society of America Bulletin, 72, 175–192.CrossRefGoogle Scholar
  50. USEPA. (1993). Carcinogenicity assessment. IRIS (Integrated Risk Information System), 2003. Washington, DC: U.S. Environmental Protection Agency.Google Scholar
  51. USEPA. (1996). EPA method 3052: Microwave assisted acid digestion of siliceous and organically based matrices. Washington: U.S. Environmental Protection Agency, Office of Solid Waste and Emergency Response. U.S. Government Printing Office.Google Scholar
  52. USEPA. (2004). Risk assessment guidance for superfund volume I: Human health evaluation manual (Part E, Supplemental Guidance for Dermal Risk Assessment) Final. EPA/540/R/99/005 OSWER 9285.7-02EP PB99-963312 July 2004. Washington, DC: Office of Superfund Remediation and Technology Innovation U.S. Environmental Protection Agency.Google Scholar
  53. USEPA. (2006). National recommended water quality criteria. United States Environmental Protection Agency, Office of Water, Office of Science and Technology.Google Scholar
  54. USEPA. (2009). National primary drinking water regulations. Washington, DC: U.S. Environmental Protection Agency.Google Scholar
  55. WHO. (2008). Guidelines for drinking-water quality (3rd ed.). Geneva: World Health Organization.Google Scholar
  56. Wu, B., Zhao, D. Y., Jia, H. Y., Zhang, Y., Zhang, X. X., & Cheng, S. P. (2009). Preliminary risk assessment of trace metal pollution in surface water from Yangtze River in Nanjing Section, China. Bulletin of Environmental Contamination and Toxicology, 82, 405–409.CrossRefGoogle Scholar
  57. Zheng, S., Wang, P., Wang, C., Hou, J., & Qian, J. (2013). Distribution of metals in water and suspended particulate matter during the resuspension processes in Taihu Lake sediment, China. Quaternary International, 286, 94–102.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Environmental Science and EngineeringIndian Institute of Technology (Indian School of Mines)DhanbadIndia

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