Co-kriging for modeling shallow groundwater level changes in consideration of land use/land cover pattern
Co-kriging for modeling shallow groundwater level changes in consideration of land use/land cover pattern
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DOI：
10.1007/s12665-013-2235-0
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发表时间：
2013-03
影响因子：
2.8
通讯作者：
Jean Aurelien Moukana;H. Asaue;K. Koike
中科院分区：
文献类型：
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作者：
Jean Aurelien Moukana;H. Asaue;K. Koike
本研究旨在阐明土地利用/土地覆盖（LULC）变化的动态和地下水位下降之间的关系，并指定一个LULC类别强烈影响这种下降在第四纪沉积盆地。地下水位数据记录在26个观测威尔斯在熊本平原，九州中部，日本西南部，为期14年的时间，用于分析。通过卫星图像分类技术和表面样条方法检测了LULC的总体趋势，突出了地下水补给物质的减少。下一步，从水位数据集中删除与降雨量密切相关的地下水位趋势，并将由此产生的残差分量水平应用于与LULC类别的协同克里金分析。协同克里金法提供了地下水位变化的详细地图。此外，我们提出了一种方法，预测地下水位的残差（PWL），推断未来的剩余地下水位从假定的LULC模式的协同克里格为基础的建模。PWL被证明是有效的，因为它清楚地代表了减少和增加的负残留水平的地区，这取决于在过去和预测的未来分布情况下的稻田的程度。
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.