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:: Volume 19, Issue 66 (9-2019) ::
جغرافیایی 2019, 19(66): 19-41 Back to browse issues page
Using uncertainty approach to determine the contribution of sediment sources (Case Study: Tange bostanak watershed, Fars province)
Abstract:   (5456 Views)

Soil erosion and sediment yield are one of the most destructive phenomena that was cause a lot of damages in different regions. In order to combat  with increasing sediment loads, informed of the nature and sediment sources in watershed scale is essential. Soil conservation projects and for effective sediment control strategies, need to knowledge of sediment sources throughout a catchment environment. The main aims of this study are to apply tracers to determine relative contributions of sediment sources with six mixing models and to use Monte Carlo -mixing model that estimates contributions of sources to associated the uncertainty estimation in sediment fingerprinting in the land uses(rangelands, forests, cultivation and gardens)and geology information(Razak, Kashkan, Bakhtyari, Quaternary, Pabedeh Gorpi and Asmary) of  Tange Bostanak catchment, in Fars province. Multivariate discriminant function analysis was subsequently used to identify the best composite fingerprint incorporating a number of these tracers. Four tracers(C, Cu, Si, Ti) verify  ability to discriminate between land use  source categories and four tracers(Nd143/144, Cu, Si, Ti) verify  ability to discriminate between geology information’s  source categories. The application of six commonly used mixing models(Collins, MCollins, Landwehr, MLandwehr, Motha, Slattery) to Monte Carlo Simulation identified all outputs remained in the acceptable range of contributions  defined by the Monte Carlo uncertainties. Mean relative contribution (percentile 5%, percentile 50% and percentile 95%, respectively) of sediment samples resulting from the Monte Carlo mixing model uncertainty approach. The best explanatory parameters provided by the Collins model based on GOF index(99.3)was best model for land uses and the best explanatory parameters provided by the Modified Collins model based on GOF index(99.98)was best model for geology information. The relative contributions from areas of range lands with 58.76%(42.5%-75.65%)  and Asmary inrormation with 53.63%(46.7%- 60.11%) are highest, respectively. Pabedeh Gorpi and Bakhtyari information’s with 0.24 and 0.27  are the lowest relative importance, also gardens  and range lands  with 3.73 and 3.5  are the highest  relative importance, respectively. 

Keywords: Monte Carlo, uncertainty, mixing model, tracers, Tange Bostanak
Full-Text [PDF 1200 kb]   (1751 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/08/9 | Accepted: 2017/01/3 | Published: 2019/09/1
References
1. Abbasi, M., Feiznia, S., Ahmadi, H., Kazmei, Y., (2010), "Study of sand dunes origin by geochemical trades of eolian sediment in Niatak", Arid Biom Scientific and Research Journal, 1 (1): 34-44. [In Persian].
2. Collins, A. L., Walling, D. E., (2004), "Documenting catchment suspended sediment sources: problems, approaches and prospects", Progress in Physical Geography, 28 (2): 159-196. [DOI:10.1191/0309133304pp409ra]
3. Collins, A. L., Walling, D. E., (2007), "Sources of fine sediment recovered from the channel bed of lowland groundwater-fed catchments in the UK", Geomorphology, 88 (1-2): 120-138. [DOI:10.1016/j.geomorph.2006.10.018]
4. Collins, A., Walling, D., Webb, L., King, P., (2010), "Apportioning catchment scale sediment sources using a modified composite fingerprinting technique incorporating property weightings and prior information", Geoderma, 155: 249-261. [DOI:10.1016/j.geoderma.2009.12.008]
5. Collins, A. L., Zhang Y., Walling, D. E., Grenfell, S. E., Smith, P., Grischeff, J., Locke, A., Sweetapple, A., Brogden, D., (2012), "Quantifying fine-grained sediment sources in the River Axe catchment, southwest England: application of a Monte Carlo numerical modelling framework incorporating local and genetic algorithm optimisation", Hydrological Processes, 26 (13): 1962-1983. [DOI:10.1002/hyp.8283]
6. Chen, F., Fang, N., Shi, Z., (2016), "Using biomarkers as fingerprint properties to identify sediment sources in a small catchment", Science of the Total Environment, 557-558: 123-133. [DOI:10.1016/j.scitotenv.2016.03.028]
7. Franz, C., Makeschin, F., Weiß, H., Lorz, C., (2014), "Sediments in urban river basins: dentification of sediment sources within the Lago Paranoá catchment, Brasilia DF, Brazil - using the fingerprint approach", Science of the Total Environment, 466-467: 513-523. [DOI:10.1016/j.scitotenv.2013.07.056]
8. Haddadghi, A., Ryder, D. S., Evrard, O., Olley, J., (2013), "Sediment fingerprinting in fluvial systems: review of tracers, sediment sources and mixing models", International Journal of Sediment Research, 28: 560-578. [DOI:10.1016/S1001-6279(14)60013-5]
9. Haddadchi, A., Olley, J., Laceby, P., (2014), "Accuracy of mixing models in predicting sediment source contributions", Science of the Total Environment , 497-498: 139-152. [DOI:10.1016/j.scitotenv.2014.07.105]
10. Honda, M., Yabuki, S., Shimizu. H., (2004), "Geochemical and isotopic studies of aeolian sediments in China", Sedimentology, 51: 211-230. [DOI:10.1111/j.1365-3091.2004.00618.x]
11. Hughes, A. O., Olley, J. M., Croke, J. C., McKergow, L. A., (2009), "Sediment source changes over the last 250 years in a dry-tropical catchment, central Queensland", Australia, Geomorphology, 104 (3-4): 262-275. [DOI:10.1016/j.geomorph.2008.09.003]
12. Koiter, A. J., Owens, P. N., Petticrew, E. L., Lobb, D. A., (2013), "The behavioural characteristics of sediment properties and their implications for sediment fingerprinting as an approach for identifying sediment sources in river basins", Earth-Science Reviews, 125: 24-42. [DOI:10.1016/j.earscirev.2013.05.009]
13. Martínez-Carreras, N., Krein, A., Gallart, F., Iffly, J. F., Pfister, L., Hoffmann, L., Owens, P. N., (2010), "Assessment of different colour parameters for discriminating potential suspended sediment sources and provenance: A multi-scale study in Luxembourg", Geomorphology, 118 (1-2): 118-129. [DOI:10.1016/j.geomorph.2009.12.013]
14. Minella, J. P. G., Merten, G. H., Clarke, R. T., (2004), "Identification of sediment sources in a small rural drainage basin", IAHS Publication: Wallingford, U. K.
15. Motha, J. A., Wallbrink, P. J., Hairsine, P. B., Grayson, R. B., (2004), "Unsealed roads as suspended sediment sources in an agricultural catchment in south-eastern Australia", Journal of Hydrology, 286 (1-4): 1-18. [DOI:10.1016/j.jhydrol.2003.07.006]
16. Najafi, S., Sadeghi, S. H. R., (2013), "Estimation of sediment sources through comparing results from soil erosion mapping, fingerprinting and field measurement techniques", Journal of Watershed Engineering and Management, 5 (3): 165-178. [In Persian].
17. Nash, J. E., Sutcliffe, J. E., (1970), "River flow forecasting through conceptual models. part1: A discussion of principles", Journal of Hydrology, 10: 282-290. [DOI:10.1016/0022-1694(70)90255-6]
18. Nosrati, K., (2011), "Sediment fingerprinting based on uncertainty approach", Journal Of Iranian Water Researches, 5 (9): 51-60.
19. Nosrati, K., Govers, G., Semmens, B. X., Ward, J. V., (2013), "A mixing model to incorporate uncertainty in sediment fingerprinting", Geoderma, 217-218: 173-180. [DOI:10.1016/j.geoderma.2013.12.002]
20. Palazon, L., Gaspar, L., Latorre, B., Blake, W., Navas, A., (2015), "Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment", J Soils Sediments,15: 2067-2085. [DOI:10.1007/s11368-015-1175-6]
21. Patrick Laceby, J., McMahon, J., Evrard, O., Olley, J., (2015), "A comparison of geological and statistical approaches to element selection for sediment fingerprinting", Soils Sediments, (2015) 15: 2117-2131. [DOI:10.1007/s11368-015-1111-9]
22. Rao, W., Yang, J., Ji, J., Li, G., Tan, H., (2008), "Sr-Nd isotopic characteristics of eolian deposits in the Erdos desert and Chinese loess plateau: Implications for their provenances". Geochemical Journal, 42: 273-282. [DOI:10.2343/geochemj.42.273]
23. Rowan, J. S., Goodwill, P., Franks, S. W., (2000), "Uncertainty estimation in fingerprinting suspended sediment sources", In: Foster, I. D. L. (Ed.), Tracers in Geomorphology, Wiley: Chichester, UK.
24. Smith, H. G., Dragovich, D., (2008), "Improving precision in sediment source and erosion process distinction in an upland catchment south-eastern Australia", CATENA, 72 (1): 191-203. [DOI:10.1016/j.catena.2007.05.013]
25. Walling, D. E., Owens, P. N., Leeks, G. J. L., (1999), "Fingerprinting suspended sediment sources in the catchment of the River Ouse, Yorkshire, UK", Hydrological Processes, 13: 955-975. https://doi.org/10.1002/(SICI)1099-1085(199905)13:7<955::AID-HYP784>3.0.CO;2-G [DOI:10.1002/(SICI)1099-1085(199905)13:73.0.CO;2-G]
26. Walling, D. E., (2005), "Tracing suspended sediment sources in catchments and river systems", Science of the Total Environment, 344:159-184. [DOI:10.1016/j.scitotenv.2005.02.011]
27. Walling, D. E., Collins, A. L., Stroud, R. W., (2008), "Tracing suspended sediment and particulate phosphorus sources in catchments", Journal of Hydrology, 350 (3-4): 274-289. [DOI:10.1016/j.jhydrol.2007.10.047]
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Using uncertainty approach to determine the contribution of sediment sources (Case Study: Tange bostanak watershed, Fars province). جغرافیایی 2019; 19 (66) :19-41
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