空间插值法在区域地下水质量评价中的应用改进研究

Study on application improvement of spatial interpolation method for the quality evaluation of regional groundwater

由于地下水的储存与运移特性及实际条件的限制,人们在对其进行观测时只能得到有限的监测结果。在进行区域地下水质量评价时,需要借助已知点信息进行空间插值来对未知点水质空间分布特性进行估计,然后评价整个区域地下水质量类别。本文首先指出传统的方法在空间插值中的不足,后提出应根据离子组分的分布特征来选择不同插值模型,同时在进行插值时应根据地下水流场来修正插值各向异性参数来提高插值精度。最后选择北京怀柔应急水源地地区进行验证,结果表明改进后的插值方法较传统插值方法提高了精度,同时改善了区域地下水质量评价结果的合理性和可解释性。

Owing to the characters of the storage and running of groundwater and the limitation of the observation methods, researchers can only obtain limited observing results. Therefore, interpolation methods are required to characterize the features of the spatial distribution of the ground water quality. According to the interpolation results, the regional groundwater quality is evaluated. The traditional interpolation methods are of shortages in spatial interpolation, so the author propose that the interpolation models should be selected by using the distribution of data set （e. g. the normal distribution or skew distribution）. While the interpolation analysis the groundwater flow field should be used to revise the anisotropic parameters and to improve the interpolation accuracy. The author chooses Beijing Huairou emergency water source area as the example to verify that the improved interpolation method is more accuracy than the traditional interpolation, which improves the results of the regional groundwater quality evaluation. The results show that the evaluation in this area is more reasonable and suitable.