Comparative study of species sensitivity distributions based on non-parametric kernel density estimation for some transition metals ☆

摘要: Transition metals in the fourth period of periodic table elements are widely widespread aquatic environments. They could often occur at certain concentrations to cause adverse effects on life and human health. Generally, parametric models mostly used construct species sensitivity distributions (SSDs), which result comparison for water quality criteria (WQC) same or group might be inaccurate results biased. To address this inadequacy, non-parametric kernel density estimation (NPKDE) with its optimal bandwidths testing methods were developed establishing SSDs. The NPKDE was better fit, more robustness predicted than conventional normal logistic estimations constructing SSDs deriving acute HC5 WQC transition table. decreasing sequence values Ti > Mn > V > Ni > Zn > Cu > Fe > Co > Cr(VI), not proportional atomic number table, different relatively sensitive also different. indicated that except physical chemical properties there other factors affecting toxicity mechanisms metals. proposed method enriched methodological foundation WQC. Meanwhile, it provided a innovative, accurate approach derivation risk assessment environments support protection organisms.