Spatial Distribution and Risk Assessment of As, Hg, Co and Cr in Kaveh Industrial City, using Geostatistic and GIS
The concentrations of As, Hg, Co, Cr and Cd were
tested for each soil sample, and their spatial patterns were analyzed
by the semivariogram approach of geostatistics and geographical
information system technology. Multivariate statistic approaches
(principal component analysis and cluster analysis) were used to
identify heavy metal sources and their spatial pattern. Principal
component analysis coupled with correlation between heavy metals
showed that primary inputs of As, Hg and Cd were due to
anthropogenic while, Co, and Cr were associated with pedogenic
factors. Ordinary kriging was carried out to map the spatial patters of
heavy metals. The high pollution sources evaluated was related with
usage of urban and industrial wastewater. The results of this study
helpful for risk assessment of environmental pollution for decision
making for industrial adjustment and remedy soil pollution.
[1] Alavi Naeini, M.R., A. Mozafari and M.Najjaran. 2005. Geochemical
and heavy mineral Exploration in Tehran. Scale:1:100000. Ministry of
Industries and Mines Geological survey of Iran.
[2] Aucejo, A., J. Ferrer, C. Gabaldon, P. Marzal and A. Seco. 1997.
Diagnosis of boron, fluorine, lead, nickel and zinc toxicity in citrus
plantations in Villareal, Spain. Water Air Soil Pollution, 94: 349-360.
[3] Burrough, P.A. and R.A. McDonnell. 1998. Principles of Geographical
Information Systems. Oxford University Press, Oxford, 333 pp.
[4] Cambardella, CA., TB. Moorman, JM. Novak, TB. Parkin, RF. Turco
and AE. Konopka, 1994. Field-scale variability of soil properties in
central Iowa soils. Soil Science. Society of American Journal, 58:1501-
1511.
[5] Charlesworth, S., M. Everett, R. McCarthy, A. Ordonez, E. De Miguell,
2003. A comparative study of heavy metal concentration and distribution
in deposited street dusts in a large and a small urban area: Birmingham
and Coventry, West Midlands, UK, Environment International 29:563-
573.
[6] Chen, Z., Saito, Y., Kanai, Y., Wei, T., Li, L., Yao, H., Wang, Z., 2004.
Low concentration of heavy metals in the Yangtze estuarine sediments,
China: a diluting setting. Estuarine, Coastal and Shelf Science, 60, 91-
100.
[7] Goovaerts, P. 1997. Geostatistics for natural resources evaluation,
Applied geostatistics series, New York: Oxford University Press.
[8] Goovaerts, P. 1999. Geostatistics in soil science: state-of-the-art and
perspectives. Geoderma, 89:1-45.
[9] Huang, S.S., Q.L. Liao, M. Hua, X.M. Wu, K.S. Bi, C.Y. Yan, B. Chen
and X.Y. Zhang, 2007. Survey of heavy metal pollution and assessment
of agricultural soil in Yangzhong district, Jiangsu Province, China.
Chemosphere, 67:2148-2155.
[10] Liu, X.M., J.J. Wu and J.M. Xu, 2006. Characterizing the risk
assessment of heavy metals and sampling uncertainty analysis in paddy
field by geostatistics and GIS. Environmental Pollution, 141:257-264.
[11] Manta, D.S., M. Angelone, A. Bellanca, R. Neri and M. Sprovieri, 2002.
Heavy metals in urban soils: a case study from the city of Palermo
(Sicily), Italy. Science and Total Environment, 300:229-243.
[12] Mico, C., M. Peris, L.Recatalá and J. Sánchez, 2007. Baseline values for
heavy metals in agricultural soils in an European Mediterranean region.
Science and Total Environment, 378:13-17.
[13] Nicholson, F.A., S.R. Smith, B.J. Alloway, C. Carlton-Smith and B.J.
Chambers, 2003. An inventory of heavy metals inputs to agricultural
soils in England and Wales Science and Total Environment, 311:205-
219.
[14] Romic, M. and D. Romic, 2003. Heavy metals distribution in
agricultural topsoils in urban area. Environmental Pollution, 43:795
1994 805
[15] Rodrigues, S., M.E. Pereira, L. Sarabando, L. Lopes, A. Cachada and A.
Duarte, 2006. Spatial distribution of total Hg in urban soils from an
Atlantic coastal city (Aveiro, Portugal). Science and Total Environment,
368:40-46.
[16] Tariq, S.R., M.H. Shah, N. Shaheen, A. Khalique, S. Manzoor,M. Jaffar,
2006. Multivariate analysis of trace metal levels in tannery effluents in
relation to soil and water: a case study from Peshawar, Pakistan, Journal
of Environmental Management, 79:20-29.
[17] Webster, R. and M. Oliver, 2001.Geostatistics for Environmental
Scientists, In: Statistics in Practice. Wiley, Chichester.
[1] Alavi Naeini, M.R., A. Mozafari and M.Najjaran. 2005. Geochemical
and heavy mineral Exploration in Tehran. Scale:1:100000. Ministry of
Industries and Mines Geological survey of Iran.
[2] Aucejo, A., J. Ferrer, C. Gabaldon, P. Marzal and A. Seco. 1997.
Diagnosis of boron, fluorine, lead, nickel and zinc toxicity in citrus
plantations in Villareal, Spain. Water Air Soil Pollution, 94: 349-360.
[3] Burrough, P.A. and R.A. McDonnell. 1998. Principles of Geographical
Information Systems. Oxford University Press, Oxford, 333 pp.
[4] Cambardella, CA., TB. Moorman, JM. Novak, TB. Parkin, RF. Turco
and AE. Konopka, 1994. Field-scale variability of soil properties in
central Iowa soils. Soil Science. Society of American Journal, 58:1501-
1511.
[5] Charlesworth, S., M. Everett, R. McCarthy, A. Ordonez, E. De Miguell,
2003. A comparative study of heavy metal concentration and distribution
in deposited street dusts in a large and a small urban area: Birmingham
and Coventry, West Midlands, UK, Environment International 29:563-
573.
[6] Chen, Z., Saito, Y., Kanai, Y., Wei, T., Li, L., Yao, H., Wang, Z., 2004.
Low concentration of heavy metals in the Yangtze estuarine sediments,
China: a diluting setting. Estuarine, Coastal and Shelf Science, 60, 91-
100.
[7] Goovaerts, P. 1997. Geostatistics for natural resources evaluation,
Applied geostatistics series, New York: Oxford University Press.
[8] Goovaerts, P. 1999. Geostatistics in soil science: state-of-the-art and
perspectives. Geoderma, 89:1-45.
[9] Huang, S.S., Q.L. Liao, M. Hua, X.M. Wu, K.S. Bi, C.Y. Yan, B. Chen
and X.Y. Zhang, 2007. Survey of heavy metal pollution and assessment
of agricultural soil in Yangzhong district, Jiangsu Province, China.
Chemosphere, 67:2148-2155.
[10] Liu, X.M., J.J. Wu and J.M. Xu, 2006. Characterizing the risk
assessment of heavy metals and sampling uncertainty analysis in paddy
field by geostatistics and GIS. Environmental Pollution, 141:257-264.
[11] Manta, D.S., M. Angelone, A. Bellanca, R. Neri and M. Sprovieri, 2002.
Heavy metals in urban soils: a case study from the city of Palermo
(Sicily), Italy. Science and Total Environment, 300:229-243.
[12] Mico, C., M. Peris, L.Recatalá and J. Sánchez, 2007. Baseline values for
heavy metals in agricultural soils in an European Mediterranean region.
Science and Total Environment, 378:13-17.
[13] Nicholson, F.A., S.R. Smith, B.J. Alloway, C. Carlton-Smith and B.J.
Chambers, 2003. An inventory of heavy metals inputs to agricultural
soils in England and Wales Science and Total Environment, 311:205-
219.
[14] Romic, M. and D. Romic, 2003. Heavy metals distribution in
agricultural topsoils in urban area. Environmental Pollution, 43:795
1994 805
[15] Rodrigues, S., M.E. Pereira, L. Sarabando, L. Lopes, A. Cachada and A.
Duarte, 2006. Spatial distribution of total Hg in urban soils from an
Atlantic coastal city (Aveiro, Portugal). Science and Total Environment,
368:40-46.
[16] Tariq, S.R., M.H. Shah, N. Shaheen, A. Khalique, S. Manzoor,M. Jaffar,
2006. Multivariate analysis of trace metal levels in tannery effluents in
relation to soil and water: a case study from Peshawar, Pakistan, Journal
of Environmental Management, 79:20-29.
[17] Webster, R. and M. Oliver, 2001.Geostatistics for Environmental
Scientists, In: Statistics in Practice. Wiley, Chichester.
@article{"International Journal of Earth, Energy and Environmental Sciences:52886", author = "Abbas Hani", title = "Spatial Distribution and Risk Assessment of As, Hg, Co and Cr in Kaveh Industrial City, using Geostatistic and GIS", abstract = "The concentrations of As, Hg, Co, Cr and Cd were
tested for each soil sample, and their spatial patterns were analyzed
by the semivariogram approach of geostatistics and geographical
information system technology. Multivariate statistic approaches
(principal component analysis and cluster analysis) were used to
identify heavy metal sources and their spatial pattern. Principal
component analysis coupled with correlation between heavy metals
showed that primary inputs of As, Hg and Cd were due to
anthropogenic while, Co, and Cr were associated with pedogenic
factors. Ordinary kriging was carried out to map the spatial patters of
heavy metals. The high pollution sources evaluated was related with
usage of urban and industrial wastewater. The results of this study
helpful for risk assessment of environmental pollution for decision
making for industrial adjustment and remedy soil pollution.", keywords = "Geographic Information system, Geostatistics,
Kaveh, Multivariate Statistical Analysis.", volume = "4", number = "11", pages = "533-6", }
