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2015 | 24 | 5 |

Tytuł artykułu

A comparative assessment on soil environment quality based on chemical analyses of heavy metals

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
This study investigated the concentrations of 11 metals in soils sampled in 1994 and 2014 from 17 cities throughout Anhui Province in China. Among the tested metals, Mn had the highest concentration and Hg the lowest. In the past 20 years, soil Cd, Co, Mn, and Cu concentrations demonstrated an increasing trend. In 1994, only Tongling City had a total metal concentration over 1,000 mg/kg, but in 2014, the seriously polluted cities also included Bengbu, Chizhou, Fuyang, Huannai, Huangshan, and Maanshan. Four assessment methods (two pollution indexes and two fuzzy mathematical models) were employed to investigate the soil environment quality of 17 cities. Environmental quality was determined to be Class I (excellent) or Class II (good) for each soil with single-factor index method, and most was identified as Class I for soils with the comprehensive index model. Different from the single-factor index method, the comprehensive index model concerned both the predominant index and average contribution of all pollution indices to integrated environmental quality. Using each of the two fuzzy mathematical methods (single-factor deciding and weighted average models), the environmental risks were determined to be Class I. However, divergence of the membership degree to each pollution class still occurred between the two methods. For fuzzy mathematical methods, membership functions were used to describe the limits between different pollution degrees, and different weights were allocated for the factors according to pollution contribution. Introduction of membership degree and weight of each factor to fuzzy mathematical models made the methods more reasonable in the field of environmental risk assessment.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

24

Numer

5

Opis fizyczny

p.2045-2054,fig.,ref.

Twórcy

autor
  • Department of Environmental Science, Jinling College, Nanjing University, Nanjing 210089, China
autor
  • State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
autor
  • School of Geography and Biological Information, Nanjing University of Posts and Telecommunication, Nanjing 210003, China
autor
  • State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
autor
  • Department of Environmental Science, Jinling College, Nanjing University, Nanjing 210089, China
autor
  • Department of Environmental Science, Jinling College, Nanjing University, Nanjing 210089, China

Bibliografia

  • 1. LI H.X., XU Q.J., ZHANG D.Q. Heavy metal pollution of soil around the Gangue Hill: A case study from Zhuxiangzhuang Coal Mine, Northern Anhui Province, China. Adv. Mater. Res. 356, 114, 2011.
  • 2. QI C.C., LIU G.J., KANG Y., LAM P.K.S., CHOU C.L. Assessment and distribution of antimony in soils around three coal mines, Anhui, China. JAPCA J. Air Waste Ma. 61, (8), 850, 2011.
  • 3. SUN L., GUI H.R., XU D.S., HUANG S.L. Heavy metal pollution in rural area of China: A case study of pond sediments from Sixian Country, Northern Anhui Province. Fresen. Environ. Bull. 21, (2), 263, 2012.
  • 4. LIN Y., WENG C., LEE S. Spatial distribution of heavy metals in contaminated agricultural soils exemplified by Cr, Cu, and Zn. J. Environ. Eng.-ASCE 138, 299, 2012.
  • 5. LIN W., XIAO T., ZHOU W., NING Z. Pb, Zn, and Cd distribution and migration at a historical zinc smelting site. Pol. J. Environ. Stud. 24, (2), 575, 2015.
  • 6. REYNDER H., BERVOETS L., GELDERS M., DE COEN W.M., BLUST R. Accumulation and effects of metals in caged carp and resident roach along a metal pollution gradient. Sci. Total Environ. 391, (1), 82, 2008.
  • 7. ABDELHAFEZ A.A., LI J. Environmental monitoring of heavy metal status and human health risk assessment in the agricultural soils of the Jinxi River Area, China. Human Ecol. Risk Assess. 21, (4), 952, 2015.
  • 8. ABDELHAFEZ A.A., ABBAS M.H.H., ATTIA T.M.S. Environmental monitoring of heavy-metals status and human health risk assessment in the soil of Sahi El-Hessania Area, Egypt. Pol. J. Environ. Stud. 24, (2), 459, 2015.
  • 9. VITTORI ANTISARI L., CARBONE S., GATTI A., VIANELLO G., NANNIPIERI P. Uptake and translocation of metals and nutrients in tomato grown in soil polluted with metal oxide (CeO₂, Fe₃O₄, SnO₂, TiO₂) or metallic (Ag, Co, Ni) engineered nanoparticles. Environ Sci Pollut Res Int. 22, (3), 1841, 2015.
  • 10. OBERG T., BERBACK B. A review of probabilistic risk assessment of contaminated land. J. Soils Sediments 5, (4), 213, 2005.
  • 11. LIU J., ZHOU Z., SUN S., NING X., ZHAO S., XIE W., WANG Y., ZHENG L., HUANG R., LI B. Concentrations of heavy metals in six municipal sludges from Guangzhou and their potential ecological risk assessment for agricultural land use. Pol. J. Environ. Stud. 24, (1), 165, 2015.
  • 12. HE T., LIAO B.H., ZENG M., LEI M., ZENG Q.R., ZHANG Y., GUO H. Investigation on arsenic pollution of paddy fields in 4 mining areas in southern Hunan. Asian J. Ecotoxicol. 2, 470, 2007.
  • 13. TUTMEZ B., KAYMAK U., TERCAN A.E. Local spatial regression models: a comparative analysis on soil contamination. Stoch. Env. Res. Risk A. 26, (7), 1013, 2012.
  • 14. LIU J., LI Y. P., HUANG G.H. Mathematical modeling for water quality management under interval and fuzzy uncertainties. J. Appl. Math. 21, 1, 2013.
  • 15. MCKONE T.E., DESHPANDE A.W. Can fuzzy logic bring complex environmental problems into focus? Environ. Sci. Technol. 39, 42A, 2005.
  • 16. FISHER B. Fuzzy environmental decision-making: Applications to air pollution. Atmos. Environ. 37, 1865, 2003.
  • 17. LIU J., LI Y.P., HUANG G.H., NIE S. Development of a fuzzy-boundary interval programming method for water quality management under uncertainty. Water Resour. Manag. 29, (4), 1169, 2015.
  • 18. SADIQ R., HUSAIN T. A fuzzy-based methodology for an aggregative environmental risk assessment: A case study of drilling waste. Environ. Modell. Softw. 20, 33, 2005.
  • 19. SHEN G.Q., LU Y.T., WANG M.N., SUN Y.Q. Status and fuzzy comprehensive assessment of combined heavy metal and organo-chlorine pesticide pollution in the Taihu Lake region of China. J. Environ. Manage. 76, 355, 2005.
  • 20. WANG H.Y. Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China. J. Environ. Manage. 66, 329, 2002.
  • 21. USEPA (United States Environmental Protection Agency). Acid Digestion of Sediments, Sludges and Soils. Method 3050B. USEPA, Washington D.C., 1996.
  • 22. NEMCC (National Environmental Monitoring Centre of China). Modern Analytical Methods of Soil Elements. China Environmental Science Press, Beijing, 1992.
  • 23. 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, 542, 2005.
  • 24. LUO W., LU Y.L., GIESY J.P., WANG T.Y., SHI Y.J., WANG G., XING Y. Effects of land use on concentrations of metals in surface soils and ecological risk around Guanting Reservoir, China. Environ. Geochem. Hlth. 29, 459, 2007.
  • 25. GELDERMANN J., SPENGLER T., RENTZ O. Fuzzy outranking for environmental assessment. Case study: Iron and steel making industry. Fuzzy Set. Syst. 115, 45, 2000.
  • 26. SZCZEPANIAK K., SÂRBU C., ASREL A., RAIŃSKA E., BIZIUK M., CULICOV O., FRONTASEVA M.V., BODE P. Assessment of the impact of a phosphatic fertilizer plant on the adjacent environment using fuzzy logic. Cent. Eur. J. Chem. 4, 29, 2006.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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