Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, Nowowiejska 20, 00-653, Warsaw, Poland.
Sci Rep. 2021 Jul 1;11(1):13644. doi: 10.1038/s41598-021-93051-9.
This article addresses the issue of estimating P-the probability of misclassifying the chemical status confidence of a water body status assessment. The main concerns of the authors were chemical quality elements with concentrations in water bodies which are close to or even smaller than the limit of quantification (LOQ). Their values must be set to half of this limit to calculate the mean value. This procedure leads to very low standard deviation values and unrealistic values of P for chemical indicators. In turn, this may lead to the false conclusion that not only is the chemical status good but also that this status assessment is perfect. Therefore, for a more reliable calculation of P, the authors suggested a modified calculation in which the value of half the LOQ for calculating the mean value was kept, but zero as the concentration value for the standard deviation calculation was adopted. The proposed modification has been applied to the Hierarchical Approach procedure for P estimation of the chemical status of Polish rivers and lakes. The crucial finding is that current chemical status assessments may be incorrect in the case of approximately 25% of river water bodies and 30% of lake water bodies categorised as good, and 20% of both types of water bodies classified as below good.
本文探讨了估计 P 值的问题,即误判水体化学状态评估置信度的概率。作者主要关注的是水体中浓度接近甚至小于定量限 (LOQ) 的化学质量要素。为了计算平均值,必须将这些值设定为该限值的一半。这一过程导致化学指标的 P 值非常低,且不现实。反过来,这可能导致错误的结论,即不仅化学状态“良好”,而且这种状态评估也是完美的。因此,为了更可靠地计算 P 值,作者建议采用一种改进的计算方法,其中保留了将 LOQ 的一半值用于计算平均值的方法,但对于标准差的计算,采用零作为浓度值。所提出的改进已应用于波兰河流和湖泊化学状态 P 值的分层方法估计程序。关键发现是,当前的化学状态评估在大约 25%的河流水体和 30%的湖泊水体被归类为“良好”,以及 20%的这两种类型的水体被归类为“低于良好”的情况下可能是不正确的。