基于时空变异的地下水模拟参数插值研究

由于地下水的储藏与运行特性及实际条件的限制,在对其进行监测时往往只能得到有限的监测结果,因此需要借助已知点信息来对地下水污染物运移参数的空间分布特性进行估计,着重阐述了浅层地下水环境评价指标的时空变异性,通过实验模拟水质指标在浅层地下水非均质环境中的运移,分析了示踪剂氯离子迁移过程中浓度变化的各向异性,进行了空间点去除率为33%和50%条件下的时空协同克里格估值;结果表明,在其他时刻只有参估点时间信息而无待估点时间信息,无论待估点的多寡,时空协同克立格估计效果相比普通克立格基本相当,证明了建立在地下水环境评价变量随机性空间统计分析基础之上的协同克里格最优估计方法切合实际,具有一定的实用价值。

The simulation parameter interpolation of spatial and temporal variability of groundwater

Limited by the storage and moving of the groundwater and the physical condition,we can usually get narrow monitoring results.So it need to estimate the spatial distribution characters of the groundwater pollutants migration parameters.This research focused on the function of spatial and temporal variability of groundwater in the environmental assessment,analyzed the anisotropy of the chloride ion migration process,conducted the space-time co-kriging estimation under the conditions of space point removal rate of 33% and 50%.The findings got the conclusions as follows: at other times,the estimation effect of temporal-spatial cokriging(CK) keeps balance with the ordinary kriging(OK) when there is only temporal information of estimated points but no information of the points to be estimated,and whether points to be estimated are more or less.So it indicated that the Cokriging optimal estimation method that established up on the groundwater environmental assessment of variables stochastic spatial statistical analysis is practical.