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Analysis of runoff, sediment dynamics and sediment yield of subcatchments in the highly erodible Isabena catchment, Central Pyrenees

机译:比利牛斯山中部高度易蚀伊莎贝娜流域子流域的径流,泥沙动力学和产沙量分析

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摘要

Purpose The Isabena catchment (445 km~2), Spain, features highly diverse spatial heterogeneity in land use, lithology and rainfall. Consequently, the relative contribution in terms of water and sediment yield varies immensely between its subcatchments, and also temporally. This study presents the synthesis of ~2.5 years of monitoring rainfall, discharge and suspended sediment concentration (SSC) in the five main subcatchments of the Isabena and its outlet. Materials and methods Continuous discharge at the subcatchment outlets, nine tipping bucket rainfall and automatic SSC samplers (complemented by manual samples), were collected from June 2011 until November 2013. The water stage records were converted to discharge using a rating curve derived with Bayesian regression. For reconstructing sediment yields, the data from the intermittent SSC sampling needed to be interpolated. We employed non-parametric multivariate regression (Quantile Regression Forests, QRF) using the discharge and rainfall data plus different aggregation levels of these as ancillary predictors. The subsequent Monte Carlo simulations allowed the determination of monthly sediment yields and their uncertainty. Results and discussion The stage-discharge rating curves showed wide credibility intervals for the higher stages, with great uncertainties associated with the discharge rates, especially during floods. The water yield of the subcatchments differed considerably. The entire catchment's output was dominated by the northernmost subcatchment (~360 mm year~(-1)). The smaller, southern subcatchments featured much higher variability and lower runoff rates (55-250 mm year~(-1)). The SSCs exhibited a wide range and can exceed 100 g l~(-1) for the central subcatchments, where most of the badlands are located. For the reconstruction of the sedigraphs, the QRF method proved suitable with Nash-Sutcliffe indices of 0.50 to 0.84. The specific sediment yield ranges from relatively low (32 t km~(-2) year~(-1)) in the highly vegetated north to high values (3,651 t km~(-2) year~(-1)) in areas with many badland formations. Conclusions The Isabena catchment shows high erosion dynamics with great variability in space and time, with stark contrasts even between adjacent subcatchments. The natural conditions make water and sediment monitoring and instrumentation very challenging; the measurement of discharge is particularly prone to considerable uncertainties. The QRF method employed for reconstructing sedigraphs and monthly yields proved well suited for the task.
机译:目的西班牙伊莎贝娜流域(445 km〜2)在土地利用,岩性和降雨方面具有高度多样的空间异质性。因此,在水和沉积物产量方面的相对贡献在其子汇水面积之间以及在时间上都有很大的变化。本研究介绍了伊萨贝纳及其出口五个主要子集水区〜2.5年的监测降雨,流量和悬浮泥沙浓度(SSC)的综合情况。材料和方法从2011年6月至2013年11月,收集了子汇水出口的连续排放,九个倾卸桶降雨和自动SSC采样器(由手动采样补充)。使用贝叶斯回归得出的等级曲线将水位记录转换为排放。为了重建沉积物产量,需要对来自间歇性SSC采样的数据进行插值。我们使用流量和降雨数据以及这些指标的不同聚合水平作为辅助预测因子,采用非参数多元回归(Quantile Regression Forests,QRF)。随后的蒙特卡洛模拟可以确定每月的沉积物产量及其不确定性。结果与讨论阶段-排放等级曲线显示较高阶段的可信区间宽广,与排放速率相关的不确定性很大,尤其是在洪水期间。子汇水面积的出水量差异很大。整个集水区的产量主要由最北端的子集水区(〜360 mm年〜(-1))决定。较小的南部子汇水区具有较高的变异性和较低的径流率(55-250 mm年〜(-1))。 SSC的范围很广,对于大多数荒地所在的中央子汇水面积,SSC可能超过100 g l〜(-1)。对于沉降图的重建,QRF方法被证明是合适的,其Nash-Sutcliffe指数为0.50至0.84。在高植被的北部,特定的沉积物产量从相对较低的(32 t km〜(-2)年〜(-1))到较高的值(3651 t km〜(-2)年〜(-1))。许多荒地的形成。结论伊莎贝娜流域表现出较高的侵蚀动态,其时空变化很大,即使相邻子流域之间也形成鲜明对比。自然条件使水和沉积物的监测和仪器具有很大的挑战性。流量的测量尤其容易产生很大的不确定性。事实证明,用于重建沉积物和月产量的QRF方法非常适合该任务。

著录项

  • 来源
    《Journal of soil & sediments》 |2014年第12期|1909-1920|共12页
  • 作者单位

    Institute of Earth and Environmental Sciences, University of Potsdam, 14476 Potsdam, Germany;

    Institute of Earth and Environmental Sciences, University of Potsdam, 14476 Potsdam, Germany;

    Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany;

    School of Natural Sciences and Psychology, Liverpool John Moores University, L3 3AF Liverpool, UK,Fluvial Dynamics Research Group, Department of Environment and Soil Sciences, University of Lleida, 25198 Lleida, Catalonia, Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mediterranean-mountainous; Non-parametric regression; Sediment yield; Water yield; Badlands;

    机译:地中海山脉;非参数回归泥沙产量;产水量荒地;

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