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首页> 外文期刊>Environmental toxicology and chemistry >Empirical Bioavailability Corrections for Nickel in Freshwaters for Australia and New Zealand Water Quality Guideline Development
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Empirical Bioavailability Corrections for Nickel in Freshwaters for Australia and New Zealand Water Quality Guideline Development

机译：澳大利亚和新西兰水质准则发展镍镍镍镍的经验生物利用度校正

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摘要

Bioavailability-based approaches have been developed for the regulation of metals in freshwaters in several countries. Empirical multiple linear regression (MLR) models have been developed for nickel that can be applied to aquatic organisms. The MLR models have been compared against the use of previously developed biotic ligand models (BLMs) for the normalization of an ecotoxicity dataset compiled for the derivation of a water quality guideline value that could be applied in Australia and New Zealand. The MLR models were developed from data for a number of specific species and were validated independently to confirm their reliability. An MLR modeling approach using different models for algae, plants, invertebrates, and vertebrates performed better than either a pooled MLR model for all taxa or the BLMs, in terms of its ability to correctly predict the results of the tests in the ecotoxicity database based on their water chemistry and a fitted species-specific sensitivity parameter. The present study demonstrates that MLR approaches can be developed and validated to predict chronic nickel toxicity to freshwater ecosystems from existing datasets. The MLR approaches provide a viable alternative to the use of BLMs for taking account of nickel bioavailability in freshwaters for regulatory purposes. Environ Toxicol Chem 2020;00:1-14. (c) 2020 SETAC
机译：已经开发了基于生物利用度的方法，用于若干国家的新鲜水域中的金属调节。已经开发了用于镍的经验多线性回归（MLR）模型可以应用于水生生物。已经将MLR模型与先前开发的生物配体模型（BLMS）进行了比较，以便为可以在澳大利亚和新西兰应用的水质准则值衍生的生态毒性数据集进行标准化。 MLR模型是从多种特定物种的数据开发的，并独立验证以确认其可靠性。使用不同模型的藻类，植物，无脊椎动物和脊椎动物的MLR建模方法比其正确预测生态毒性数据库中的测试结果的能力更好地表现优于所有分类群或BLM的汇集的MLR模型。他们的水化学和拟合物种特异性灵敏度参数。本研究表明，可以开发和验证MLR方法，以预测来自现有数据集的淡水生态系统的慢性镍毒性。 MLR方法提供了使用BLM的可行替代方案，以考虑到淡水中的镍生物利用度进行监管目的。环境毒素化学2020; 00：1-14。 （c）2020 Setac

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