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2014 | 23 | 6 |

Tytuł artykułu

Assessment of heavy metal pollution in Chinese suburban farmland

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
A total of 650 arable soil samples were collected from the suburbs of Liaocheng, Shandong Province, China to identify the concentrations and the sources of heavy metals and to assess the environmental quality of soil. Subsequently, the contents of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn in the samples were analyzed. The investigation revealed that the mean concentrations of As, Cd, Hg, Ni, Hg, and Cd exceeded their corresponding background values. The maximum concentrations of As, Cd, Hg, and Cu are all higher than the allowable values. Each soil sample had a low or slight pollution index (PI) of As, Cr, Cu, Ni, Pb, and Zn, whereas the PI values of Hg and Cd were high; more than 39.7% and 18.6% of the samples were classified as being moderately or heavily contaminated by Hg and Cd, respectively. Using multivariate statistical approaches (cluster analysis and principal component analysis), four factors controlling the heavy metal variability were identified; these accounted for more than 80% of the total variance. The As, Zn, Ni, Cu, and Cr levels were controlled by the parent material in the soils. Cd and Hg levels were controlled mainly by anthropic sources, such as industrial activities, manure, and the burning of coal; however, the parent materials of the soils may partially control the concentrations of Cd and Hg. The abnormally high levels of heavy metals mostly coincided with industrial locations.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

23

Numer

6

Opis fizyczny

p.2351-2358,fig.,ref.

Twórcy

autor
  • Department of Civil Engineering, Shandong Jianzhu University, Ji’nan 250101, China
autor
  • Department of Civil Engineering, Shandong Jianzhu University, Ji’nan 250101, China
autor
  • Department of Civil Engineering, Shandong Jianzhu University, Ji’nan 250101, China

Bibliografia

  • 1. NICHOLSON F. A., SMITH S. R., ALLOWAY B. J., CARLTON-SMITH C., CHAMBERS B. J. An inventory of heavy metals inputs to agricultural soils in England and Wales. Sci. Total Environ. 311, 205, 2003.
  • 2. LIU X. M., WU J. J., XU J. M. Characterizing the risk assessment of heavy metals and sampling uncertainty analy­sis in paddy field by geostatistics and GIS. Environ. Pollut. 141, 257, 2006.
  • 3. MENG F., LIU M., SHI T. G. Evaluation on environmental quality of heavy metals in agricultural soils of Shanghai. Environmental Science. 29, (2), 428, 2008 [In Chinese].
  • 4. WEI B. G., YANG L. S. A review of heavy metal contami­nations in urban soils, urban road dusts and agricultural soils from China. Microchem. J. 94, (2), 99, 2010.
  • 5. FACCHINELLI A., SACCHI E., MALLEN L. Multivariate statistical and GIS-based approach to identify heavy metal sources in soils. Environ. Pollut. 114, 313, 2001.
  • 6. HU K. L., ZHANG F. R., LI H., HUANG F., LI B. G. Spatial patterns of soil heavy metals in urban-rural transition zone of Beijing. Pedosphere. 16, (6), 690, 2006.
  • 7. ZHAO Y. F., SHI X. Z., HUANG B., YU D. S., WANG H. J., SUN W. X., OBOERN I., BLOMBACK K. Spatial dis­tribution of heavy metals in agricultural soils of an industry- based peri-urban area in Wuxi, China. Pedosphere, 17, (1), 44, 2007.
  • 8. KIENA C. N., NOIB N. V., SONB L. T., NGOCB H. M., TANAKAC S., NISHINAD T., IWASAKID K. Heavy metal contamination of agricultural soils around a chromite mine in Vietnam. Soil Sci. Plant Nutr. 56, (2), 344, 2010.
  • 9. YANG P. G., MAO R. Z., SHAO H. B., GAO Y. F. The spa­tial variability of heavy metal distribution in the suburban farmland of Taihang Piedmont Plain, China. C.R. Biol. 332, 558, 2009.
  • 10. KACHENKO A. G., SINGH B. Heavy metals contamina­tion in vegetables grown in urban and metal smelter conta­minated sites in Australia. Water Air Soil Poll. 169, 101, 2006.
  • 11. LI X. D., LEE S. L., WONG S. C., SHI W. Z., THORNTON I. The study of metal contamination in urban soils of Hong Kong using a GIS-based approach. Environ. Pollut. 129, (1), 113, 2004.
  • 12. LI Y., GOU X., WANG G., ZHANG Q., SU Q., XIAO G. Heavy metal contamination and source in arid agricultural soils in central Gansu Province, China. J. Environ. Sci- China. 20, 607, 2008.
  • 13. GOOVAERTS P. Geostatistical modeling of uncertainty in soil science. Geoderma. 103, 3, 2001.
  • 14. CHEN T. B., ZHENG Y. M., LEI M., HUANG Z. C., WU H. T., CHEN H., FAN K. K., YU K., WU X., TIAN Q. Z. Assessment of heavy metal pollution in surface soils of urban parks in Beijing, China. Chemosphere, 60, (4), 542, 2005.
  • 15. BAI J. H., CUI B. S., CHEN B., ZHANG K. J., DENG W., GAO H. F., XIAO R. Spatial distribution and ecological risk assessment of heavy metals in surface sediments from a typ­ical plateau lake wetland, China. Ecol. Model. 222, 301, 2011.
  • 16. State Environmental Protection Administration of China (SEPAC). The Technical Specification for Soil Environmental Monitoring HJ/T 166-2004. China Environmental Press, Beijing 2004 [In Chinese].
  • 17. CNEMC (China National Environmental Monitoring Centre). The background values of Chinese soils. Environmental Science Press of China, Beijing, 329-493, 1990.
  • 18. ZHOU F., GUO H. C., HAO Z. J. Spatial distribution of heavy metals in Hong Kong's marine sediments and their human impacts: A GIS-based chemometric approach. Mar. Pollut. Bull. 54, 1372, 2007.
  • 19. State environmental protection administration of China. Environmental quality standard for soils GB 15618-1995. China Environmental Press, Beijing 1995 [In Chinese].
  • 20. MANTA D. S., ANGELONE M., BELLANCA A., NERI R., SPROVIERI M. Heavy metals in urban soils: a case study from the city of Palermo (Sicily), Italy. Sci. Total Environ. 300, (1-3), 229, 2002.
  • 21. KIM D. H., JEON C. S., BAEK K., KO S. H., YANG J. S. Electrokinetic remediation of fluorine contaminated soil: conditioning of anolyte. J. Hazard. Mater. 161, 565, 2009.
  • 22. KUMPIENE J., LAGERKVIST A., MAURICE C. Stabilization of As, Cr, Cu, Pb and Zn in soil using amend­ments - a review. Waste Manage. 28, 215, 2008.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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