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首页> 外文期刊>Journal of Hydrology >Test of the SHETRAN technology for modelling the impact of reforestation on badlands runoff and sediment yield at Draix, France
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Test of the SHETRAN technology for modelling the impact of reforestation on badlands runoff and sediment yield at Draix, France

机译:在法国Draix进行的造林对荒地径流和沉积物产量影响建模的SHETRAN技术测试

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摘要

Physically based distributed models, such as SHETRAN, have the ability to predict the impacts of land management changes in advance of any change taking place. It needs to be shown, though, that they can deliver practical results while accounting for uncertainty in parameter evaluation. As a demonstration, SHETRAN was used to simulate the impact of reforestation on runoff and erosion in a badlands environment in south-east France. A model was first constructed for the 86-ha Laval basin, severely affected by gully erosion. It was then altered to represent this basin as if it were equivalent to the neighbouring 108-ha Brusquet basin, rescued from erosion by reforestation. Simulation uncertainty was quantified as a function of uncertainty in parameter evaluation. A good reproduction was obtained of the observed difference in runoff/rainfall ratio and the two orders of magnitude difference in sediment yield between the basins, as a function of their different vegetation covers and rainfalls, for a 5-year period. The results are encouraging for modelling land use change impacts but indicate also the need to reduce further the uncertainty in model parameter evaluation. (C) 2000 Elsevier Science B.V. All rights reserved. [References: 30]
机译:基于物理的分布式模型(例如SHETRAN)能够在发生任何变化之前预测土地管理变化的影响。但是,需要证明它们可以提供实际结果,同时考虑到参数评估中的不确定性。作为演示,SHETRAN被用来模拟造林对法国东南部荒地环境中径流和侵蚀的影响。首先为86公顷的拉瓦尔盆地建立了一个模型,该模型受到沟壑侵蚀的严重影响。然后对其进行了更改,以代表该盆地,就好像它与相邻的108公顷的布鲁斯凯特盆地一样,通过植树造林而免受侵蚀。仿真不确定性被量化为参数评估中不确定性的函数。观测到的流域/降雨比差异和流域之间沉积物产量的两个数量级差异(取决于其不同的植被覆盖率和降雨量)在5年内得到了良好的再现。该结果对于模拟土地利用变化的影响是令人鼓舞的,但也表明需要进一步减少模型参数评估中的不确定性。 (C)2000 Elsevier Science B.V.保留所有权利。 [参考:30]

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