TY - JOUR
T1 - Spatial and Temporal Variation of Watertype-Specific No-Effect Concentrations and Risks of Cu, Ni, and Zn
AU - Verschoor, A. J.
AU - Vink, J. P. M.
AU - de Snoo, G. R.
AU - Vijver, M. G.
N1 - ISI Document Delivery No.: 793UU Times Cited: 25 Cited Reference Count: 38 Verschoor, Anja J. Vink, Jos P. M. de Snoo, Geert R. Vijvert, Martina G. de Snoo, geert/M-4315-2013; Vijver, Martina/K-7831-2013 Vink, Jos P.M./0000-0003-4117-6638; Vijver, Martina/0000-0003-2999-1605 Deltares, The NetherlandsNetherlands Government; NWO-VENINetherlands Organization for Scientific Research (NWO) The authors thank the waterboard De Dommel for providing monitoring data and background information of sites in their district. This work is part of a Ph.D. research funded by Deltares, The Netherlands. Martina G. Vijver is supported by NWO-VENI. 25 0 35 Amer chemical soc Washington 1520-5851
<Go to ISI>://WOS:000292850200020
PY - 2011
Y1 - 2011
N2 - Geographical and temporal variations in metal speciation were calculated and water-type specific sensitivities were derived for a range of aquatic species, using surveillance water chemistry data that cover almost all surface water types in The Netherlands. Biotic ligand models for Cu, Zn, and Ni were used to normalize chronic no-effect concentrations (NOEC) determined in test media toward site-specific NOEC for 372 sites sampled repeatedly over 2007-2010. Site-specific species sensitivity distributions were constructed accounting for chemical speciation. Sensitivity of species as well as predicted risks shifted among species over space and time, due to changes in metal concentrations, speciation, and biotic ligand binding. Sensitivity of individual species (NOEC) and of the ecosystem (HC5) for Cu, Ni, and Zn showed a spatial variation up to 2 orders of magnitude. Seasonality of risks was shown, with an average ratio between lowest and highest risk of 1.3, 2.0, and 3.6 for Cu, Ni, and Zn, respectively. Maximum risks of Cu, Ni, and Zn to ecosystems were predicted in February and minimum risks in September. A risk assessment using space-time specific HC5 of Cu and Zn resulted in a reduction of sites at risk, whereas for Ni the number of sites at risks increased.
AB - Geographical and temporal variations in metal speciation were calculated and water-type specific sensitivities were derived for a range of aquatic species, using surveillance water chemistry data that cover almost all surface water types in The Netherlands. Biotic ligand models for Cu, Zn, and Ni were used to normalize chronic no-effect concentrations (NOEC) determined in test media toward site-specific NOEC for 372 sites sampled repeatedly over 2007-2010. Site-specific species sensitivity distributions were constructed accounting for chemical speciation. Sensitivity of species as well as predicted risks shifted among species over space and time, due to changes in metal concentrations, speciation, and biotic ligand binding. Sensitivity of individual species (NOEC) and of the ecosystem (HC5) for Cu, Ni, and Zn showed a spatial variation up to 2 orders of magnitude. Seasonality of risks was shown, with an average ratio between lowest and highest risk of 1.3, 2.0, and 3.6 for Cu, Ni, and Zn, respectively. Maximum risks of Cu, Ni, and Zn to ecosystems were predicted in February and minimum risks in September. A risk assessment using space-time specific HC5 of Cu and Zn resulted in a reduction of sites at risk, whereas for Ni the number of sites at risks increased.
KW - biotic ligand model chronic copper toxicity daphnia-magna pseudokirchneriella-subcapitata field validation predicting acute heavy-metals zinc fish ion Engineering Environmental Sciences & Ecology
U2 - 10.1021/es2007963
DO - 10.1021/es2007963
M3 - Article
SN - 0013-936X
VL - 45
SP - 6049
EP - 6056
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 14
ER -