Advances in freshwater risk assessment: improved accuracy of dissolved organic matter-metal speciation prediction and rapid biological validation

Zhang, XK;Li, BL;Deng, JM;Qin, BQ;Wells, M;Tefsen, B

[Zhang, Xiaokai; Li, Boling; Tefsen, Boris] Xian Jiaotong Liverpool Univ, Dept Biol Sci, Suzhou 215123, Jiangsu, Peoples R China.
[Zhang, Xiaokai; Li, Boling] Univ Liverpool, Dept Environm Sci, Brownlow Hill, Liverpool L69 7ZX, Merseyside, England.
[Deng, Jianming; Qin, Boqiang] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Taihu Lab Lake Ecosyst Res, Nanjing 210008, Peoples R China.
[Wells, Mona] Natl Inst Water & Atmospher Res, Freshwater Ecol Grp, Dunedin 9016, New Zealand.

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Volume:202

DOI:10.1016/j.ecoenv.2020.110848

Publication Year:2020

JCR:Q1

CAS JCR:2区

ESI Discipline:ENVIRONMENT/ECOLOGY

Latest Impact Factor:6.291

Document Type:Journal Article

Identifier:http://hdl.handle.net/20.500.12791/002802

Abstract

Speciation modeling of bioavailability has increasingly been used for environmental risk assessment (ERA). Heavy metal pollution is the most prevalent environmental pollution issue globally, and metal bioavailability is strongly affected by its chemical speciation. Dissolved organic matter (DOM) in freshwater will bind heavy metals thereby reducing bioavailability. While speciation modeling has been shown to be quite effective and is validated for use in ERA, there is an increasing body of literature reporting problems with the accuracy of metalDOM binding in speciation models. In this study, we address this issue for a regional-scale field area (Lake Tai, with 2,400 km(2) surface area and a watershed of 36,000 km(2)) where speciation models in common use are not highly accurate, and we tested alternative approaches to predict metal-DOM speciation/bioavailability for lead (Pb) in this first trial work. We tested five site-specific approaches to quantify Pb-DOM binding that involve varying assumptions about conditional stability constants, binding capacities, and different components in DOM, and we compare these to what we call a one-size-fits-all approach that is commonly in use. We compare model results to results for bioavailable Pb measured using a whole-cell bioreporter, which has been validated against speciation models and is extremely rapid compared to many biological methods. The results show that all of the site-specific approaches we use provide more accurate estimates of bioavailability than the default model tested, however, the variation of the conditional stability constant on a site-specific basis is the most important consideration. By quantitative metrics, up to an order of magnitude improvement in model accuracy results from modeling active DOM as a single organic ligand type with site-specific variations in Pb-DOM conditional stability constants. Because the biological method is rapid and parameters for site-specific tailoring of the model may be obtained via high-throughput analysis, the approach that we report here in this first regional-scale freshwater demonstration shows excellent potential for practical use in streamlined ERA.

Keywords

Pb and heavy metal pollution Taihu biogeochemistry Speciation and biotic ligand models Metal complexation with natural ligands Terrestrial bioavailability and environmental risk assessment whole-cell bioreporter and biosensors

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