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Creating a conceptual hydrological soil response map for the Stevenson Hamilton Research Supersite, Kruger National Park, South Africa

机译:为南非克鲁格国家公园的史蒂文森·汉密尔顿研究超级站点创建概念性水文土壤响应图

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The soil water regime is a defining ecosystem service, directly influencing vegetation and animal distribution. Therefore the understanding of hydrological processes is a vital building block in managing natural ecosystems. Soils contain morphological indicators of the water flow paths and rates in the soil profile, which are expressed as 'conceptual hydrological soil responses' (CHSR's). CHSR's can greatly aid in the understanding of hydrology within a landscape and catchment. Therefore a soil map could improve hydrological assessments by providing both the position and area of CHSR's. Conventional soil mapping is a tedious process, which limits the application of soil maps in hydrological studies. The use of a digital soil mapping (DSM) approach to soil mapping can speed up the mapping process and thereby extend soil map use in the field of hydrology. This research uses an expert-knowledge DSM approach to create a soil map for Stevenson Hamilton Research Supersite within the Kruger National Park, South Africa. One hundred and thirteen soil observations were made in the 4 001 ha area. Fifty-four of these observations were pre-determined by smart sampling and conditioned Latin hypercube sampling. These observations were used to determine soil distribution rules, from which the soil map was created in SoLIM. The map was validated by the remaining 59 observations. The soil map achieved an overall accuracy of 73%. The soil map units were converted to conceptual hydrological soil response units (CHSRUs), providing the size and position of the CHSRUs. Such input could potentially be used in hydrological modelling of the site.
机译:土壤水状况是一种决定性的生态系统服务,直接影响植被和动物的分布。因此,对水文过程的理解是管理自然生态系统的重要基础。土壤包含土壤剖面中水流路径和速率的形态学指标,这些指标表示为“概念性水文土壤响应”(CHSR)。 CHSR可以极大地帮助您了解景观和流域内的水文学。因此,通过提供CHSR的位置和面积,土壤图可以改善水文评估。传统的土壤测绘是一个繁琐的过程,它限制了土壤测绘在水文学研究中的应用。在土壤测绘中使用数字土壤测绘(DSM)方法可以加快测绘过程,从而扩展水文学领域中土壤测绘的使用。这项研究使用专家知识的DSM方法为南非克鲁格国家公园内的史蒂文森·汉密尔顿研究超级站点创建了土壤图。在4001公顷的土地上进行了113次土壤观测。其中有54个观测值是由智能采样和条件拉丁超立方体采样预先确定的。这些观测结果用于确定土壤分布规则,并以此在SoLIM中创建了土壤图。其余59个观测值验证了该图。土壤图的总体精度为73%。将土壤图单元转换为概念性水文土壤响应单元(CHSRU),提供CHSRU的大小和位置。这样的输入可以潜在地用于场地的水文建模。

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