Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
J Contam Hydrol. 2019 Feb;221:26-34. doi: 10.1016/j.jconhyd.2019.01.001. Epub 2019 Jan 4.
The spatial structure and auto-correlation of total dissolved solids (TDS) in an aquifer located in southwestern part of Iran were investigated by both Moran's index and variography. Since the feature of interest was non-stationary so, conventional methods of spatial analysis were not applicable and Universal kriging (UK) as a common method for spatial prediction of features with a spatial trend along with a novel geostatistical method known as fixed rank kriging (FRK) were utilized in this respect. The results of Moran's index were consistent with that of spatial analysis by geostatistical methods indicating the dominance of spatial clusters within the extent of study area. The spatial analysis by FRK was more efficient than that of its UK counterpart however the performance of UK was reasonable enough, as well. A variable selection by random forest (RF) was applied on eleven other water quality parameters that were the main constituents of TDS to identify the main parameters influencing the observed variability of TDS. It was turned out that RF is a viable method for variable selection in the realm of environmental sciences.
通过 Moran 指数和变差函数,研究了伊朗西南部某含水层中总溶解固体(TDS)的空间结构和自相关。由于感兴趣的特征是非平稳的,因此传统的空间分析方法不适用,普通克立格法(Universal kriging,UK)作为一种具有空间趋势的特征空间预测的常用方法,以及一种称为固定秩克立格法(Fixed rank kriging,FRK)的新的地质统计学方法,在这方面得到了应用。Moran 指数的结果与地质统计学方法的空间分析结果一致,表明在研究区域范围内存在空间聚类的主导地位。然而,FRK 的空间分析比 UK 更有效,而 UK 的性能也足够合理。随机森林(Random Forest,RF)对其他 11 个也是 TDS 主要成分的水质参数进行了变量选择,以确定影响 TDS 观测变异性的主要参数。结果表明,RF 是环境科学领域变量选择的一种可行方法。