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On the calculation of the topographic wetness index: evaluation of different methods based on field observations

机译:关于地形湿度指数的计算:基于现场观测的不同方法的评估

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The topographic wetness index (TWI, ln(a/tan beta)), which combines local upslope contributing area and slope, is commonly used to quantify topographic control on hydrological processes. Methods of computing this index differ primarily in the way the upslope contributing area is calculated. In this study we compared a number of calculation methods for TWI and evaluated them in terms of their correlation with the following measured variables: vascular plant species richness, soil pH, groundwater level, soil moisture, and a constructed wetness degree. The TWI was calculated by varying six parameters affecting the distribution of accumulated area among downslope cells and by varying the way the slope was calculated. All possible combinations of these parameters were calculated for two separate boreal forest sites in northern Sweden. We did not find a calculation method that performed best for all measured variables; rather the best methods seemed to be variable and site specific. However, we were able to identify some general characteristics of the best methods for different groups of measured variables. The results provide guiding principles for choosing the best method for estimating species richness, soil pH, groundwater level, and soil moisture by the TWI derived from digital elevation models.
机译:结合局部上坡贡献面积和坡度的地形湿度指数(TWI,ln(a / tan beta))通常用于量化水文过程的地形控制。计算该指数的方法主要不同之处在于计算上坡贡献面积的方式。在这项研究中,我们比较了许多TWI的计算方法,并根据它们与以下测量变量的相关性对它们进行了评估:维管植物物种丰富度,土壤pH值,地下水位,土壤湿度和人工湿度。通过改变影响下坡单元之间累积面积分布的六个参数以及改变坡度的计算方式来计算TWI。这些参数的所有可能组合都是针对瑞典北部的两个单独的北方森林站点进行计算的。我们没有找到一种对所有测量变量都表现最佳的计算方法。最好的方法似乎是可变的并且针对特定地点。但是,我们能够为不同组的测量变量确定最佳方法的一些一般特征。结果为通过数字高程模型导出的TWI选择最佳方法来估算物种丰富度,土壤pH,地下水位和土壤湿度提供了指导原则。

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