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Co-kriging for modeling shallow groundwater level changes in consideration of land use/land cover pattern

机译:考虑土地利用/土地覆盖格局的联合克里格法用于模拟浅层地下水水位变化

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摘要

This study aimed at clarifying the relationship between the dynamics of land use/land cover (LULC) changes and decline in the groundwater levels, and specifying an LULC category strongly affecting such decline in a Quaternary sedimentary basin. Groundwater level data recorded at 26 observation wells for a 14-year period in the Kumamoto Plain, central Kyushu, southwest Japan, were used for the analysis. The general trends of LULC were detected by a satellite image classification technique and surface spline method, which highlighted the decreases in groundwater-recharge materials. As the next step, those trends of groundwater levels that were closely correlated with rainfall were removed from the level data set, and the resultant residual component levels were applied to co-kriging analysis with LULC categories. Co-kriging provided a detailed map of groundwater level variability. Furthermore, we propose a method, prediction of residual of groundwater level (PWL), to infer future residual groundwater levels from the supposed LULC pattern by co-kriging-based modeling. PWL was demonstrated to be effective because it clearly represented the decrease and increase in negative residual level areas, depending on the extent of rice fields in the past and in predicted future distribution scenarios.
机译:这项研究旨在阐明土地利用/土地覆盖变化(LULC)的动态变化与地下水位下降之间的关系,并确定一种强烈影响第四纪沉积盆地中这种下降的LULC类型。分析使用了日本西南部九州中部熊本平原26口观测井记录的地下水水质数据,为期14年。利用卫星图像分类技术和表面样条方法检测了土地利用,土地利用变化的总体趋势,这突出了地下水补给物质的减少。下一步,将与水位紧密相关的地下水位趋势从水位数据集中删除,并将所得的剩余成分水位应用于LULC类别的协同克里格分析。共同克里金法提供了详细的地下水位变化图。此外,我们提出了一种方法,预测残留地下水位(PWL),通过基于协同克里格的模型从假定的LULC模式推断未来的残留地下水位。 PWL被证明是有效的,因为它清楚地表示了负残留水平区域的减少和增加,具体取决于过去和未来预计的稻田分布情况。

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