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首页> 外文期刊>European Journal of Soil Science >Comparing empirical models for sediment and phosphorus transfer from soils to water at field and catchment scale under data uncertainty.
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Comparing empirical models for sediment and phosphorus transfer from soils to water at field and catchment scale under data uncertainty.

机译:在数据不确定性的情况下,比较田间和集水区从土壤到水的沉积物和磷的转移的经验模型。

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摘要

Soils are important sources of sediment and phosphorus in rural catchments, necessitating the development of mathematical models for impact assessment. In this paper, multiple empirical models are tested on an event basis at four nested locations in an intensively managed grassland headwater catchment while accounting for parameter and data uncertainties using extended Generalized Likelihood Uncertainty Estimation (GLUE). The study provides the first template of model comparison under data uncertainty in soil erosion and phosphorus transfer modelling as well as hypotheses of soil and water processes in the study catchment. A fodder field, yielding large sediment and phosphorus concentrations in runoff, is characterized by inter-event variation in sediment-discharge relationship, mild intra-event hysteretic behaviour and seemingly random erosion incidents. Sediment-discharge variation is partly formalized by parameter variation as a function of antecedent soil moisture, indicative of a gradual shift from transport- to source-limited behaviour, decreasing soil erodibility and/or decreasing initial flow erosivity and transport capacity with increasing antecedent wetness. The catchment outlet appears to be source-limited while converging flows with different sediment concentrations, variable erosion processes and/or sporadic entrainment of near- or in-stream sediments gain importance. Phosphorus dynamics are strongly linked to those of sediment. Non-linearities can be explained by preferential transfer of phosphorus-rich organic matter at small flows while there is no significant evidence of preferential transfer of phosphorus-rich mineral fines. Iterating between collecting data, constraining uncertainties and rejecting and improving models is suggested as a consistent framework for understanding soil erosion and phosphorus movement.
机译:土壤是农村流域沉积物和磷的重要来源,因此有必要开发影响评估的数学模型。在本文中,在集约化管理的草地水源流域的四个嵌套位置处,基于事件对多个经验模型进行了测试,同时使用扩展的广义似然不确定性估计(GLUE)来考虑参数和数据的不确定性。该研究提供了在土壤侵蚀和磷迁移模型中的数据不确定性以及研究流域中水土过程假设的情况下模型比较的第一个模板。饲料田在径流中产生大量的沉积物和磷,其特征是事件间的泥沙排放关系发生变化,事件内温和的滞后行为以及看似随机的侵蚀事件。沉积物流量的变化部分通过参数变化形式化,作为前期土壤湿度的函数,表明从运输受限的行为到源头受限的行为逐渐转变,土壤易蚀性降低和/或随着前期湿度的增加降低初始流量的侵蚀性和运输能力。集水口似乎受到源头的限制,同时汇聚具有不同沉积物浓度的水流,变化的侵蚀过程和/或零星夹带的近处或河内沉积物变得越来越重要。磷动力学与沉积物紧密相关。非线性可以通过小流量富磷有机物的优先转移来解释,而没有明显证据表明富磷矿物细粉的优先转移。建议在收集数据,限制不确定性以及拒绝和改进模型之间进行迭代,以作为了解土壤侵蚀和磷运动的一致框架。

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