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Application of Statistical Inference for Analysis of Heavy Metal Variability in Roadside Soil

  • Zhuang ZhaoEmail author
  • James Ball
  • Pamela Hazelton
Article

Abstract

Previous studies have found there are a variety of factors that influence heavy metal concentrations and Pb isotope ratios in roadside soil. One issue in assessing these factors is the need to distinguish between the natural sample variability at a single site and the variability between different sites. Data constraint often results in the lack of an adequate number of samples and hence is often a constraint on statistical reliability. Presented herein is a regionalisation approach that can be used to overcome the data constraint. This approach was used to analyse data collected at Miranda Park, Sydney, for assessment of the influence of rainfall, distance, depth and soil types. Application of the regionalisation approach enabled discrimination between natural sample variability and that from changes in the factors being considered. The regionalisation approach mitigates the data constraint and may assist researchers in their analysis of constrained data sets enabling more efficient monitoring of potential environmental issues. Additionally, it was found that the primary factors for heavy metal concentrations were rainfall, distance and soil types while depth was a secondary factor. A similar result was determined for the anthropogenic Pb component but not for the natural Pb component.

Keywords

Rainfall Heavy metals Statistic Roadside soil Regionalisation Pb isotope 

References

  1. Akbar, K. F., Hale, W. H., Headley, A. D., & Athar, M. (2006). Heavy metal contamination of roadside soils of Northern England. Soil Water Res, 1, 158–163.Google Scholar
  2. Bacon, J. R., Farmer, J. G., Dunn, S. M., Graham, M. C., & Vinogradoff, S. I. (2006). Sequential extraction combined with isotope analysis as a tool for the investigation of lead mobilisation in soils: application to organic-rich soils in an upland catchment in Scotland. Environmental Pollution, 141, 469–481.CrossRefGoogle Scholar
  3. Bishop, T., & McBratney, A. (2001). A comparison of prediction methods for the creation of field-extent soil property maps. Geoderma, 103, 149–160.CrossRefGoogle Scholar
  4. Chen, T., Liu, X., Li, X., Zhao, K., Zhang, J., Xu, J., Shi, J., & Dahlgren, R. A. (2009). Heavy metal sources identification and sampling uncertainty analysis in a field-scale vegetable soil of Hangzhou, China. Environmental Pollution, 157, 1003–1010.CrossRefGoogle Scholar
  5. Chen, X., Xia, X., Zhao, Y., & Zhang, P. (2010). Heavy metal concentrations in roadside soils and correlation with urban traffic in Beijing, China. Journal of Hazardous Materials, 181, 640–646.CrossRefGoogle Scholar
  6. Ciazela, J., & Siepak, M. (2016). Environmental factors affecting soil metals near outlet roads in Poznań, Poland: impact of grain size, soil depth, and wind dispersal. Environmental Monitoring and Assessment, 188, 1–12.CrossRefGoogle Scholar
  7. Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1, 98–101.CrossRefGoogle Scholar
  8. Curran-Cournane, F., Lear, G., Schwendenmann, L., & Khin, J. (2015). Heavy metal soil pollution is influenced by the location of green spaces within urban settings. Soil Research, 53, 306–315.CrossRefGoogle Scholar
  9. Dao, L., Morrison, L., Zhang, H., & Zhang, C. (2013). Influences of traffic on Pb, Cu and Zn concentrations in roadside soils of an urban park in Dublin, Ireland. Environmental Geochemistry and Health, 36, 1–11.Google Scholar
  10. Dawson, J. J., Tetzlaff, D., Carey, A.-M., Raab, A., Soulsby, C., Killham, K., & Meharg, A. A. (2009). Characterizing Pb mobilization from upland soils to streams using 206Pb/207Pb isotopic ratios. Environmental Science & Technology, 44, 243–249.CrossRefGoogle Scholar
  11. de Silva, S., Ball, A. S., Huynh, T., & Reichman, S. M. (2015). Metal accumulation in roadside soil in Melbourne, Australia: effect of road age, traffic density and vehicular speed. Environmental Pollution, 208, 102–109.CrossRefGoogle Scholar
  12. de Temmerman, L., Vanongeval, L., Boon, W., Hoenig, M., & Geypens, M. (2003). Heavy metal content of arable soils in Northern Belgium. Water, Air, and Soil Pollution, 148, 61–76.CrossRefGoogle Scholar
  13. Farmer, J. G., Graham, M. C., Bacon, J. R., Dunn, S. M., Vinogradoff, S. I., & Mackenzie, A. B. (2005). Isotopic characterisation of the historical lead deposition record at Glensaugh, an organic-rich, upland catchment in rural N.E. Scotland. Science of the Total Environment, 346, 121–137.CrossRefGoogle Scholar
  14. Gaudino, S., Galas, C., Belli, M., Barbizzi, S., de Zorzi, P., Jaćimović, R., Jeran, Z., Pati, A., & Sansone, U. (2007). The role of different soil sample digestion methods on trace elements analysis: a comparison of ICP-MS and INAA measurement results. Accreditation and Quality Assurance, 12, 84–93.CrossRefGoogle Scholar
  15. Guo, G., Wu, F., Xie, F., & Zhang, R. (2012). Spatial distribution and pollution assessment of heavy metals in urban soils from southwest China. Journal of Environmental Sciences, 24, 410–418.CrossRefGoogle Scholar
  16. Harrison, R. B., Footen, P. W., & Strahm, B. D. (2011). Deep soil horizons: contribution and importance to soil carbon pools and in assessing whole-ecosystem response to management and global change. Forest Science, 57, 67–76.Google Scholar
  17. Hazelton, P. A. & Murphy, B. W. (2016). Interpreting soil test results: what do all the numbers mean? (p. 152). CSIRO publishing.Google Scholar
  18. Hazelton, P. & Tille, P. (1990). Soil landscapes of the Wollongong-Port Hacking 1: 100 000 sheet map, Soil Conservation Service of NSW, Sydney.Google Scholar
  19. Herbert, C. (1983). Sydney 1: 100 000 Geological Sheet 9130. Sydney: Geological Survey of New South Wales.Google Scholar
  20. Hill, T., Lewicki, P. & Lewicki, P. (2006). Statistics: methods and applications: a comprehensive reference for science, industry, and data mining (p. 5). StatSoft, Inc.Google Scholar
  21. Hosking, J., & Wallis, J. (1993). Some statistics useful in regional frequency analysis. Water Resources Research, 29, 271–281.CrossRefGoogle Scholar
  22. Hosking, J. R. M. & Wallis, J. R. (2005). Regional frequency analysis: an approach based on L-moments (p. 1–9). Cambridge University Press.Google Scholar
  23. Karim, Z., Qureshi, B. A., Mumtaz, M., & Qureshi, S. (2014). Heavy metal content in urban soils as an indicator of anthropogenic and natural influences on landscape of Karachi—a multivariate spatio-temporal analysis. Ecological Indicators, 42, 20–31.CrossRefGoogle Scholar
  24. Legret, M., & Pagotto, C. (2006). Heavy metal deposition and soil pollution along two major rural highways. Environmental Technology, 27, 247–254.CrossRefGoogle Scholar
  25. Li, X., Poon, C.-S., & Liu, P. S. (2001). Heavy metal contamination of urban soils and street dusts in Hong Kong. Applied Geochemistry, 16, 1361–1368.CrossRefGoogle Scholar
  26. Li, X., Liu, L., Wang, Y., Luo, G., Chen, X., Yang, X., Hall, M. H., Guo, R., Wang, H., & Cui, J. (2013). Heavy metal contamination of urban soil in an old industrial city (Shenyang) in Northeast China. Geoderma, 192, 50–58.CrossRefGoogle Scholar
  27. Li, J., Pu, L., Liao, Q., Zhu, M., Dai, X., Xu, Y., Zhang, L., Hua, M., & Jin, Y. (2015). How anthropogenic activities affect soil heavy metal concentration on a broad scale: a geochemistry survey in Yangtze River Delta, Eastern China. Environmental Earth Sciences, 73, 1823–1835.CrossRefGoogle Scholar
  28. Mohammed, T., Loganathan, P., Kinsela, A., Vigneswaran, S., & Kandasamy, J. (2012). Enrichment, inter-relationship, and fractionation of heavy metals in road-deposited sediments of Sydney, Australia. Soil Research, 50, 229–238.CrossRefGoogle Scholar
  29. Mossop, K. F., & Davidson, C. M. (2003). Comparison of original and modified BCR sequential extraction procedures for the fractionation of copper, iron, lead, manganese and zinc in soils and sediments. Analytica Chimica Acta, 478, 111–118.CrossRefGoogle Scholar
  30. Olajire, A., & Ayodele, E. (1997). Contamination of roadside soil and grass with heavy metals. Environment International, 23, 91–101.CrossRefGoogle Scholar
  31. Pagotto, C., Remy, N., Legret, M., & le Cloirec, P. (2001). Heavy metal pollution of road dust and roadside soil near a major rural highway. Environmental Technology, 22, 307–319.CrossRefGoogle Scholar
  32. Pueyo, M., Mateu, J., Rigol, A., Vidal, M., López-Sánchez, J. F., & Rauret, G. (2008). Use of the modified BCR three-step sequential extraction procedure for the study of trace element dynamics in contaminated soils. Environmental Pollution, 152, 330–341.CrossRefGoogle Scholar
  33. Reimann, C., Flem, B., Fabian, K., Birke, M., Ladenberger, A., Négrel, P., Demetriades, A., Hoogewerff, J., & Team, T. G. P. (2012). Lead and lead isotopes in agricultural soils of Europe–the continental perspective. Applied Geochemistry, 27, 532–542.CrossRefGoogle Scholar
  34. Scazzola, R., Avezzù, S., Biancotto, R., Chiamenti, E., Chiozzotto, E., Gerotto, M., Palonta, M., & Roiter, S. (2003). Assessment of heavy metal background values in the soils of inland coastal areas of Venice, Italy. Annali di Chimica, 93, 465–470.Google Scholar
  35. Semlali, R. M., van Oort, F., Denaix, L., & Loubet, M. (2001). Estimating distributions of endogenous and exogenous Pb in soils by using Pb isotopic ratios. Environmental Science & Technology, 35, 4180–4188.CrossRefGoogle Scholar
  36. Shi, G., Chen, Z., Xu, S., Zhang, J., Wang, L., Bi, C., & Teng, J. (2008). Potentially toxic metal contamination of urban soils and roadside dust in Shanghai, China. Environmental Pollution, 156, 251–260.CrossRefGoogle Scholar
  37. Stone, M., & Marsalek, J. (1996). Trace metal composition and speciation in street sediment: Sault Ste. Marie, Canada. Water, Air, and Soil Pollution, 87, 149–169.CrossRefGoogle Scholar
  38. Tokalioğlu, Ş., Kartal, Ş., & Birol, G. (2003). Application of a three-stage sequential extraction procedure for the determination of extractable metal contents in highway soils. Turkish Journal of Chemistry, 27, 333–346.Google Scholar
  39. Turer, D., Maynard, J. B., & Sansalone, J. J. (2001). Heavy metal contamination in soils of urban highways comparison between runoff and soil concentrations at Cincinnati, Ohio. Water, Air, and Soil Pollution, 132, 293–314.CrossRefGoogle Scholar
  40. Walraven, N., van Os, B. J. H., Klaver, G. T., Middelburg, J. J., & Davies, G. R. (2014). The lead (Pb) isotope signature, behaviour and fate of traffic-related lead pollution in roadside soils in The Netherlands. Science of the Total Environment, 472, 888–900.CrossRefGoogle Scholar
  41. Wijaya, A. R., Ouchi, A. K., Tanaka, K., Shinjo, R., & Ohde, S. (2012). Metal contents and Pb isotopes in road-side dust and sediment of Japan. Journal of Geochemical Exploration, 118, 68–76.CrossRefGoogle Scholar
  42. Wong, C. S. C., & Li, X. D. (2004). Pb contamination and isotopic composition of urban soils in Hong Kong. Science of the Total Environment, 319, 185–195.CrossRefGoogle Scholar
  43. Wu, S., Zhou, S., & Li, X. (2011). Determining the anthropogenic contribution of heavy metal accumulations around a typical industrial town: Xushe, China. Journal of Geochemical Exploration, 110, 92–97.CrossRefGoogle Scholar
  44. Yu, Y., Li, Y., Li, B., Shen, Z., & Stenstrom, M. K. (2016). Metal enrichment and lead isotope analysis for source apportionment in the urban dust and rural surface soil. Environmental Pollution, 216, 764–772.Google Scholar
  45. Žemberyová, M., Bartekova, J., & Hagarova, I. (2006). The utilization of modified BCR three-step sequential extraction procedure for the fractionation of Cd, Cr, Cu, Ni, Pb and Zn in soil reference materials of different origins. Talanta, 70, 973–978.CrossRefGoogle Scholar
  46. Zhao, Z., & Hazelton, P. (2016). Evaluation of accumulation and concentration of heavy metals in different urban roadside soil types in Miranda Park, Sydney. Journal of soils and sediments, 16(11), 2548–2556.Google Scholar
  47. Zuur, A. F., Ieno, E. N., & Elphick, C. S. (2010). A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution, 1, 3–14.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of TechnologySydneyAustralia
  2. 2.School of Civil and Environmental EngineeringUniversity of TechnologySydneyAustralia

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