Source apportionment of different land uses in sediment production of sand dunes using Fingerprinting Method (A Case Study: Gachin, Iran)
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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Recognition of source areas of sand dunes is very important in wind erosion control projects. Due to the difficulties in application of traditional methods in recognition and determination of the sediment source apportionment, fingerprinting method (source identification), as an alternative and suitable method has been considered in several studies. This method, determines the source areas of sediment using physical and chemical characteristics of sediments, rocks and soils of different sources. In the current research, sediment production share of these sources is determined through the use of appropriate combination of separation properties of sediment. Furthermore, using appropriate combination of geochemical elements capable of isolating different land uses, the contribution of each land use to the production of sand dunes was determined in Gachin, Iran. Initially, 28 samples were taken from the possible sources of sediment and sand dunes, and then statistically investigated through analysis of variance and Kruskal-Wallis to identify the optimal combination of tracing tracers. The results revealed that of the all tracers, P, Na and Mg were the optimal combination for differentiating land uses in the region. Outputs of Composite Multivariate method showed that the percentage contribution of pasture land, agricultural land, forest planting, and bare land appeared to be 31/25, 2/85, 2/85 and 63/05, respectively. The relative error of the hybrid model to estimate the contribution of different applications in the production of sediment was equal to 7/65 % with a correlation coefficient of 92/35. In conclusion, considering the relative error and capabilities of fingerprinting technique, it has been demonstrated that this technique has an acceptable performance for the sediment source apportionment.

Language:
Persian
Published:
Journal of Arid Biome, Volume:9 Issue: 1, 2019
Pages:
1 to 9
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