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Spatial interpolation of precipitation considering geographic and topographic influences - A case study in the Poyang Lake Watershed, china

机译:考虑地理和地形影响的降水空间插值 - 以中国鄱阳湖流域为例

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Precipitation is important in many fields. It is meaningful and valuable to estimate the spatial distribution of precipitation. However, existing methods introduced for precipitation interpolation are not satisfactory. In this paper, geographic and topographic factors are taken into consideration and put into Cokriging method to interpolate the precipitation maps of annual precipitation in Poyang Lake Watershed of China. At the same time, IDW (Inverse distance weight) method, Ordinary Kriging method and Cokriging method considering elevation only has been used to interpolate the precipitation. Evaluating by MAE (mean absolute error), MRE (mean relative error), as well as RMSIE(Root mean squared interpolation error). The results indicate that Cokriging method considering geographic and topographic facotors is suoprior than IDW method and Cokriging method considering elevation only, and it has no obvious advantage compared with ordinary Kriging method.
机译:降水在许多领域都很重要。估计降水的空间分布是有意义的和有价值的。然而,引入降水插值的现有方法并不令人满意。在本文中,考虑了地理和地形因素,并进入了蔡高指的方法,以翻入了中国鄱阳湖流域年降水量的降水图。同时,IDW(逆距离重量)方法,考虑升高的普通克里格法和录音方法仅被用于内容降水。由MAE(平均绝对误差)评估,MRE(平均相对误差)以及RMSIE(根均方插值误差)。结果表明,考虑地理和地形等的Cokriging方法比IDW方法和Cokriging方法仅考虑升高,与普通克里格法相比,它没有明显的优势。

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