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Reseach Article

Spatial Prediction of Heavy Metal Pollution for Soils in Coimbatore, India based on universal kriging

by A.Gandhimathi, Dr.T.Meenambal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 10
Year of Publication: 2011
Authors: A.Gandhimathi, Dr.T.Meenambal
10.5120/3698-4999

A.Gandhimathi, Dr.T.Meenambal . Spatial Prediction of Heavy Metal Pollution for Soils in Coimbatore, India based on universal kriging. International Journal of Computer Applications. 29, 10 ( September 2011), 52-63. DOI=10.5120/3698-4999

@article{ 10.5120/3698-4999,
author = { A.Gandhimathi, Dr.T.Meenambal },
title = { Spatial Prediction of Heavy Metal Pollution for Soils in Coimbatore, India based on universal kriging },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 10 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 52-63 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number10/3698-4999/ },
doi = { 10.5120/3698-4999 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:29.777667+05:30
%A A.Gandhimathi
%A Dr.T.Meenambal
%T Spatial Prediction of Heavy Metal Pollution for Soils in Coimbatore, India based on universal kriging
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 10
%P 52-63
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Industrialization and urbanization taking place at faster rate in Coimbatore city. Hence the discharge rate of industry effluents and wastes are increasing at alarming rate. These effluents and wastes are being discharged randomly on soil, river, lake and road side without any treatment. They pollute productive soil, natural water system as well as ground water. Assessment of heavy metal content in soil and wetland from various localities of Coimbatore, Tamil Nadu was undertaken. Heavy metal pollution generally a non-stationary variable, the technique of universal kriging is applied in preference to ordinary kriging as the interpolation method. Topsoil samples (0-20 cm) were taken at various locations with reference to latitude and longitude. The concentration of heavy metal Cr, Pb, and Fe were analyzed in the Atomic Absorption spectrometer. Universal Kriging model was developed with suitable empirical semivariogram model. The model having the least error was selected by comparing the observed table values with the values predicted by empirical semivariogram models. It was determined that the presence of Fe is high at Electroplating Industrial areas and traffic junctions. Presence of Pb is high in Velangulam Lake Ukkadam, and at the Sungam Lake. Presence of Cr is high at Ganapathy and X - cut road and is 3.6 & 3.5 ppm respectively because of electroplating industries. The aim of this analysis is to investigate the level of heavy metal contamination in soil and prediction of heavy metal at various locations in the vicinity of industries and around Coimbatore city.

References
  1. Ahmed, S., and de Marsily, G. (1989) Cokriged estimates of transmissivities using jointly water level data, In: M. Armstrong (ed.), Geostatistic, Kluwer Academic Pub., 2: 615-628.
  2. Araghinejad, S., and Burn, D.H. (2005). Probabilistic forecasting of hydrological events using geostatistical analysis. Hydrological Sciences Journal, vol. 50, 837-856.
  3. Bardossy, A., and Lehmann, W. (1998) Spatial distribution of soil moisture in a small catchment. Part I: geostatistical analysis. J. of Hydro., vol.206,1-15.
  4. David, M. (1977) Geostatistical Ore Reserve Estimation. Amsterdam: Elsevier.
  5. Isaaks, E.H., and Srivastava, R.M. (1989) Applied Geostatistics. New York: Oxford Univ. Press.
  6. Kumar, D., and Ahmed, S. (2003) Seasonal behaviour of spatial variability of groundwater level in a granitic aquifer in monsoon climate. Current Science, vol. 84, 188-196.
  7. Kumar, V. (1996) Space time modelling of ground water with assistance of remote sensing, Ph.D., Indian Institute of Technology, New Delhi, India.
  8. Malarkodi, M., Krishnasamy, R., Kumaraperumal, R., and Chitdeshwari, T. (2007). Characterization of Heavy Metal Contaminated Soils of Coimbatore District in Tamil Nadu, Journal of Agronomy, 6: 147-151.
  9. Somasundaram, J., 2001, “ Evaluation of sewage sludge – coirpith pellets on fodder crops and bio-transfer of heavy metal, Ph.D., Thesis, Tamil Nadu Agricultural University, Coimbatore.
  10. Vijay Kumar and Remadevi, (2006), Kriging of Groundwater Levels – A Case Study, Journal of Spatial Hydrology, Vol.6, No.1.
Index Terms

Computer Science
Information Sciences

Keywords

Spatial analysis Heavy metals Geo-accumulation Universal kriging Semivariogram Soil pollution