An adaptive sampling procedure for estimating heavy metal pollutants of ground water from soil

Article type: Research Article

Authors: Adeleke, I.A.^{a; *} | Okafor, Ray^b | Esan, E.O.^b | Opara, A.I.^d | Olayinka, O.K.^c | Oyeyiola, A.O.^c

Affiliations: [a] Department of Actuarial Science and Insurance, University of Lagos, Lagos, Nigeria | [b] Department of Mathematics, University of Lagos, Lagos, Nigeria | [c] Department of Chemistry, University of Lagos, Lagos, Nigeria | [d] Distance Learning Institute, University of Lagos, Lagos, Nigeria

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: We consider an adaptive cluster sampling procedure for assessment of contaminant risk to ground water from soil at Owode-Onirin, Lagos, Nigeria. This method provides a more efficient way of sampling sparse but highly clustered population, and exploits the advantage of spatial clustered population to yield more efficient estimates of the concentrations of heavy metals pollutants of ground water from soil. A model-assisted estimation approach that incorporates models into the design-based estimation frame work was considered.

Keywords: Adaptive sampling, heavy metal pollutants, design-assisted-cum-model-based estimation approach

DOI: 10.3233/MAS-2008-3407

Journal: Model Assisted Statistics and Applications, vol. 3, no. 4, pp. 353-360, 2008