Spatial soil zinc content distribution from terrain parameters: A GIS-based decision-tree model in Lebanon |
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Authors: | Rania Bou Kheir Mogens H. Greve Tommy Dalgaard |
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Affiliation: | a Lebanese University, Faculty of Letters and Human Sciences, Department of Geography, GIS Research Laboratory, P.O. Box 90-1065, Fanar, Lebanon b Department of Agroecology and Environment, Faculty of Agricultural Sciences (DJF), Aarhus University, Blichers Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark c National Council for Scientific Research, Remote Sensing Center, P.O. Box 11-8281, Beirut, Lebanon |
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Abstract: | Heavy metal contamination has been and continues to be a worldwide phenomenon that has attracted a great deal of attention from governments and regulatory bodies. In this context, our study proposes a regression-tree model to predict the concentration level of zinc in the soils of northern Lebanon (as a case study of Mediterranean landscapes) under a GIS environment. The developed tree-model explained 88% of variance in zinc concentration using pH (100% in relative importance), surroundings of waste areas (90%), proximity to roads (80%), nearness to cities (50%), distance to drainage line (25%), lithology (24%), land cover/use (14%), slope gradient (10%), conductivity (7%), soil type (7%), organic matter (5%), and soil depth (5%). The overall accuracy of the quantitative zinc map produced (at 1:50.000 scale) was estimated to be 78%. The proposed tree model is relatively simple and may also be applied to other areas. |
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Keywords: | Zn concentration Soil pollution Decision-tree model GIS Terrain analysis |
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