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首页> 外文期刊>Environmental engineering and management journal >DIGITAL SOIL MAPPING IN A MOUNTAINOUS AREA WITH MIXED LAND USE (HUMOR CATCHMENT - EASTERN CARPATHIANS, ROMANIA) USING SOIL-LANDSCAPE SYSTEMS, FUZZY LOGIC AND ENVIRONMENTAL COVARIATES
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DIGITAL SOIL MAPPING IN A MOUNTAINOUS AREA WITH MIXED LAND USE (HUMOR CATCHMENT - EASTERN CARPATHIANS, ROMANIA) USING SOIL-LANDSCAPE SYSTEMS, FUZZY LOGIC AND ENVIRONMENTAL COVARIATES

机译:用土地利用(幽默集水区 - 东部喀尔巴阡山脉,罗马尼亚)的数字土壤映射,采用土壤景观系统,模糊逻辑和环境协变量

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摘要

The proper evaluation of soil resources, especially in mountainous areas, is very important for the suitable development of the local communities, which host traditional sustainable agriculture. Nonetheless, regarding the preservation of traditional sustainable agriculture and the introduction of a modern development plan to the area, an actualized and detailed distribution of soil cover is crucial. Soil legacy data is not always available at the right scale and spatial cover. To overcome such obstacles, the most suitable approach is the use of digital soil mapping for supplementing soil information. Sparse soil information is available for the Humor catchment, Eastern Carpathians, Romania, therefore we used a soil-landscape system approach, which when coupled with a fuzzy logic-based assignment of soil to landscape system and a raster GIS representation model of the landscape environmental layers (SoLIM model), allow the continuous spatial modelling of the soil classes. The result was validated against available soil maps and soil profiles and it was shown to better represent spatial distribution of the soil cover, although further work is needed to better sample soils representing local conditions which because weren't predictable in the applied model, were included as punctual occurrences.
机译:对土壤资源的适当评估,特别是在山区,对当地社区的适当发展非常重要,举办传统的可持续农业。尽管如此,关于保存传统可持续农业和对该地区的现代发展计划的保护,土壤覆盖的实际和详细分布至关重要。土壤遗留数据并不总是在正确的尺度和空间盖上提供。为了克服这种障碍,最合适的方法是利用数字土壤映射来补充土壤信息。稀疏土壤信息可用于幽默,东喀尔巴阡山脉,罗马尼亚,因此我们使用了一种土壤景观系统方法,当加上景观系统的模糊逻辑的土壤分配和景观环境的光栅GIS表示模型层(SOLIM模型),允许土壤课程的连续空间建模。该结果验证了可用的土壤图和土壤剖面,并且显示出更好地代表土壤覆盖的空间分布,尽管需要进一步的工作来更好地采用代表当地条件的样品,这是因为在所应用的模型中不可预测而无法预测。作为准时的事件。

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