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Inferring mean rates of sediment yield and catchment erosion from reservoir siltation in the Kruger National Park, South Africa: An uncertainty assessment

机译:推断南非克鲁格国家公园水库泥沙淤积和流域侵蚀的平均速率:不确定性评估

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Reservoir siltation surveys facilitate the quantification of the mean area-specific sediment yield (SSY) of catchments for decadal and longer time spans. This requires information on the volume (V-S) and dry bulk density (dBD) of reservoir deposits, the period of time (T-R) during which they were accumulated, the reservoir sediment trap efficiency (TE) and the catchment area (A). For the calculation of the catchment-wide average rate of erosion by water (E), the sediment delivery ratio (SDR) of the catchment needs to be estimated. Each step in this workflow represents a potential source of uncertainty. Here, we explore the extent to which individual error sources contribute to uncertainties in SSY and E values. Mean SSY and E values are inferred for small to medium-sized catchments (= 100 km(2)) of 15 small (= 350 x 10(3 )m(3)) intermittently dry reservoirs located in the southern Kruger National Park and observation periods of 30 to 65 yr. Mean relative uncertainties of resulting SSY and E values amount to +/- 21% and +/- 46% at the 95% confidence level, respectively. Uncertainties in SSY values arise mainly from the TE estimation (mean fractional uncertainty contribution of 64%), while the SDR estimation is the major cause (79%) for uncertain E values. Uncertainties in the determination of V(S )and dBD values are rather unimportant, contributing together 30% and 6% to the uncertainty of SSY and E values on average, respectively. Conclusions are drawn regarding reasonable surveying and sampling strategies. (C) 2018 The Authors. Published by Elsevier B.V.
机译:水库淤积调查有助于量化十年和更长时期流域平均面积比沉积物产量(SSY)。这需要以下信息:储层沉积物的体积(V-S)和干堆积密度(dBD),积累时间段(T-R),储层沉积物捕集效率(TE)和集水区(A)。为了计算集水区范围内的平均水蚀率(E),需要估算集水区的泥沙输送比(SDR)。此工作流程中的每个步骤都代表了不确定性的潜在来源。在这里,我们探讨了各个误差源在SSY和E值中造成不确定性的程度。对于位于克鲁格国家公园南部的15个小型(<= 350 x 10(3)m(3))间歇性干水库的中小型集水区(<= 100 km(2))推断出平均SSY和E值观察期为30至65年。在95%的置信度下,所得SSY和E值的平均相对不确定度分别为+/- 21%和+/- 46%。 SSY值的不确定性主要来自TE估计值(平均不确定度贡献为64%),而SDR估计值是E值不确定的主要原因(79%)。确定V(S)和dBD值的不确定性并不重要,平均分别导致SSY和E值的不确定性分别小于30%和6%。得出有关合理的调查和抽样策略的结论。 (C)2018作者。由Elsevier B.V.发布

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