Kriging in the Hydrosciences
Kriging in the Hydrosciences
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DOI：
10.1016/0309-1708(78)90039-8
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发表时间：
1978-09-01
影响因子：
4.7
通讯作者：
Delhomme, J. P.
中科院分区：
文献类型：
--
作者：
Delhomme, J. P.
目前在水文科学中使用的大多数内插和空间平均方法都是为了量化估计的精度。区域化变量理论使人们能够指出水文气象或水文地质场的空间相关性与这些场内插的精度或平均值的确定之间的关系。一种新的估计方法被证明是非常适合于解决水资源问题的克里格法。作者提供了一系列的案例研究，包括自动等高线绘制、数值模型数据输入、给定集水区平均降雨量的估计以及测量网络的设计。
Most of the methods currently used in hydrosciences for interpolation and spatial averaging full to quantify the accuracy of the estimates.The theory of regionalized variables enables one to point out the relationship between the spatial correlation of hydrometeorological or hydrogeological fields and the precision of interpolation, or determination of average values, over these fields.A new estimation method called kriging has proven to be quite well adapted to solving water resources problems. The author presents a series of case-studies in automatic contouring, data input for numerical models, estimation of average precipitation over a given catchment area, and measurement network design.