首页> 外文期刊>Grundwasser >Mapping by means of geostatistics and fuzzy geostatistics-a comparison using sulfate concentration distributions in a near-surface aquifer north of Bremen [Kartenerstellung mit Geostatistik und Fuzzy-Geostatistik: Ein Methodenvergleich am Beispiel der Verteilung der Sulfatkonzentrationen im oberfl?chennahen Grundwasserleiter in Bremen Nord]
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Mapping by means of geostatistics and fuzzy geostatistics-a comparison using sulfate concentration distributions in a near-surface aquifer north of Bremen [Kartenerstellung mit Geostatistik und Fuzzy-Geostatistik: Ein Methodenvergleich am Beispiel der Verteilung der Sulfatkonzentrationen im oberfl?chennahen Grundwasserleiter in Bremen Nord]

机译:通过地统计学和模糊地统计学进行制图-不莱梅北部近地表含水层中硫酸盐浓度分布的比较[具有地统计学和模糊地统计的地图创建:使用不来梅北部近地含水层中硫酸盐浓度分布实例的方法比较]

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摘要

In order to visualize sulfate contents distributions in near surface groundwater north of Bremen, maps were regionalized by Ordinary Kriging, Fuzzy Kriging and the Natural Neighbor method and compared with a conventionally provided distribution map. The computations were made with uniform parameters and a uniform raster grid. The original data sets contained fuzzy data of sulfate concentrations like "<40 mg/l", which were used in different variants for the interpolation. The regionalization of the sulfate concentrations by Ordinary Kriging shows-depending on the conversion of these values-strongly smoothed results, particularly within the range of locally arising concentration maxima in the southern investigation area. In comparison, the maps by Fuzzy Kriging and the Natural Neighbor method identified high concentration gradients much better. The Fuzzy Kriging approach links the quality of a geostatistical method with the possibility of dealing with imprecise data, and is therefore preferred in comparison to the other methods.
机译:为了可视化不来梅以北近地表地下水中硫酸盐含量的分布,通过普通克里格法,模糊克里格法和自然邻域法对地图进行了区域划分,并与常规提供的分布图进行了比较。使用统一的参数和统一的栅格网格进行计算。原始数据集包含硫酸盐浓度的模糊数据,例如“ <40 mg / l”,这些数据用于不同的插值方式。普通克里格法对硫酸盐浓度的区域化显示,取决于这些值的转换,结果会得到平滑化,尤其是在南部调查区域局部出现的最大浓度范围内。相比之下,通过模糊克里金法和自然邻域法绘制的地图更好地识别了高浓度梯度。模糊克里格方法将地统计方法的质量与处理不精确数据的可能性联系在一起,因此,与其他方法相比,它是首选方法。

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