Division of Science and Research, New Jersey Department of Environmental Protection, Trenton, New Jersey, USA.
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2011;46(4):371-7. doi: 10.1080/10934529.2011.542373.
Groundwater is a major water source in New Jersey; hence, accurate hydrogeologic data are extremely important. However, most measured data have inadequate spatial density and their locations are often clustered. Our study focuses on implementing geostatistical methods to generate the spatial distribution of specific capacity over the Newark Basin in New Jersey. Two geostatistical methods, ordinary kriging and cokriging, were employed and compared. Ordinary kriging was employed to estimate the spatial distribution of specific capacity by using measured values. Cokriging incorporated the spatial variability of fracture density into the estimation with the spatial variability of specific capacity, as groundwater flow in fractured rock aquifers depends on the fracture characteristics in the Newark Basin. Results indicate that cokriging manifested substantial improvements over ordinary kriging including a larger areal coverage, a more detailed variation of specific capacity, and reduction in the variance of its estimates.
地下水是新泽西州的主要水源；因此，准确的水文地质数据极其重要。然而，大多数测量数据的空间密度不足，且其位置往往集中。我们的研究重点是实施地质统计方法来生成新泽西州纽瓦克盆地比水容量的空间分布。采用了两种地质统计方法，普通克里金法和协克里金法，并进行了比较。普通克里金法通过使用测量值来估计比水容量的空间分布。协克里金法将断裂密度的空间变异性与比水容量的空间变异性结合起来进行估计，因为裂隙岩含水层中的地下水流动取决于纽瓦克盆地中的裂隙特征。结果表明，协克里金法比普通克里金法有显著的改进，包括更大的面积覆盖范围、更详细的比水容量变化以及估计方差的减少。
