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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >SCALES: A large-scale assessment model of soil erosion hazard in Basse-Normandie (northern-western France)
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SCALES: A large-scale assessment model of soil erosion hazard in Basse-Normandie (northern-western France)

机译:规模:Basse-Normandie(法国西北部)的土壤侵蚀危害大规模评估模型

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摘要

The cartography of erosion risk is mainly based on the development of models, which evaluate in a qualitative and quantitative manner the physical reproduction of the erosion processes (CORINE, EHU, INRA). These models are mainly semi-quantitative but can be physically based and spatially distributed (the Pan-European Soil Erosion Risk Assessment, PESERA). They are characterized by their simplicity and their applicability potential at large temporal and spatial scales. In developing our model SCALES (Spatialisation d'éChelle fine de l'ALéa Erosion des Sols/large-scale assessment and mapping model of soil erosion hazard), we had in mind several objectives: (1) to map soil erosion at a regional scale with the guarantee of a large accuracy on the local level, (2) to envisage an applicability of the model in European oceanic areas, (3) to focus the erosion hazard estimation on the level of source areas (on-site erosion), which are the agricultural parcels, (4) to take into account the weight of the temporality of agricultural practices (land-use concept). Because of these objectives, the nature of variables, which characterize the erosion factors and because of its structure, SCALES differs from other models. Tested in Basse-Normandie (Calvados 5500 km~2) SCALES reveals a strong predisposition of the study area to the soil erosion which should require to be expressed in a wet year. Apart from an internal validation, we tried an intermediate one by comparing our results with those from INRA and PESERA. It appeared that these models under estimate medium erosion levels and differ in the spatial localization of areas with the highest erosion risks. SCALES underlines here the limitations in the use of pedo-transfer functions and the interpolation of input data with a low resolution. One must not forget however that these models are mainly focused on an interregional comparative approach. Therefore the comparison of SCALES data with those of the INRA and PESERA models cannot result on a convincing validation of our model. For the moment the validation is based on the opinion of local experts, who agree with the qualitative indications delivered by our cartography. An external validation of SCALES is foreseen, which will be based on a thorough inventory of erosion signals in areas with different hazard levels.
机译:侵蚀风险的制图主要基于模型的开发,该模型以定性和定量的方式评估侵蚀过程的物理再现(CORINE,EHU,INRA)。这些模型主要是半定量模型,但可以基于物理模型和空间分布模型(泛欧洲土壤侵蚀风险评估,PESERA)。它们的特点是其简单性及其在较大的时间和空间尺度上的适用潜力。在开发我们的模型SCALES(空间空间化的大面积土壤侵蚀危害评估/制图和土壤侵蚀危害的大规模评估和制图模型)时,我们牢记了以下目标:(1)在区域范围内绘制土壤侵蚀图(2)设想该模型在欧洲大洋地区的适用性;(3)将侵蚀风险估算的重点放在源区(现场侵蚀)的水平上; (4)考虑到农业实践的时空性(土地使用概念)。由于这些目标,表征腐蚀因子的变量的性质以及其结构,SCALES与其他模型不同。 SCALES在Basse-Normandie(Calvados 5500 km〜2)上进行的测试表明,研究区很容易受到土壤侵蚀的影响,应该在潮湿的一年中表达出来。除了内部验证之外,我们还通过将我们的结果与INRA和PESERA的结果进行比较来尝试了一个中间验证。看来,这些模型是在估计中等侵蚀水平的情况下进行的,并且在侵蚀风险最高的地区的空间定位方面存在差异。 SCALES在此强调了使用脚踏传递函数和低分辨率输入数据插值的局限性。但是,一定不要忘记,这些模型主要集中于一种区域间比较方法。因此,将SCALES数据与INRA和PESERA模型的数据进行比较无法得出令人信服的模型验证结果。目前,验证是基于当地专家的意见,他们同意我们制图所提供的定性指示。预计将对SCALES进行外部验证,该验证将基于具有不同危害等级的区域中腐蚀信号的详尽清单。

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