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Godfrey M. Sakala

Researcher at University of Zambia

Publications -  7
Citations -  84

Godfrey M. Sakala is an academic researcher from University of Zambia. The author has contributed to research in topics: Tailings & Soil water. The author has an hindex of 4, co-authored 7 publications receiving 47 citations.

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Review: mine tailings in an African tropical environment—mechanisms for the bioavailability of heavy metals in soils

TL;DR: A discussion of the contamination of soils with heavy metals, their subsequent bioavailability to crops that are grown in these soils and the methods used to determine various bioavailable phases of heavy metals are presented in this review.
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Nested sampling and spatial analysis for reconnaissance investigations of soil: an example from agricultural land near mine tailings in Zambia

TL;DR: In this paper, a reconnaissance survey was performed on soil near mine tailings to investigate variation in the content of copper, chromium and uranium, and it was shown that the random variation was spatially dependent for all spatial models, whether for variation around a constant mean, or with a mean given by a linear effect of organic matter or distance to the tailings.
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Do soil amendments used to improve agricultural productivity have consequences for soils contaminated with heavy metals

TL;DR: The results obtained in this study showed that soil amendment with minimal lime and manure whilst benefiting agricultural productivity, may significantly reduce the mobility or plant availability of metals from contaminated agricultural soils.
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Reconnaissance sampling and determination of hexavalent chromium in potentially-contaminated agricultural soils in Copperbelt Province, Zambia.

TL;DR: The application of speciated isotope dilution mass spectrometry (SIDMS) to accurately quantify Cr( VI) in agricultural soils within close proximity to a mine tailings dam in the Copperbelt Province of Zambia indicates that this site poses a low environmental/human health risk with respect to Cr(VI) exposure.
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Planning spatial sampling of the soil from an uncertain reconnaissance variogram

TL;DR: In this article, the effects of variogram parameter uncertainty on sampling decisions are investigated and a robust decision on sampling intensity, given the uncertainty in the variogram, is made, and the costs incurred in terms of oversampling due to uncertainty in variogram model used to plan sampling are estimated.