Abstract:Article (refereed) -postprintTipping, E.; Lofts, S.; Sonke, J.E.. 2011. Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances. Environmental Chemistry, 8 (3). 225-235. 10.1071/EN11016Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. [1,2] incorporating Humic Ion-Binding Model 55 V … Show more
“…We have previously performed three such studies focussing on data from fresh waters, [14] estuarine and coastal waters [15] and the open ocean, [16] and comparing them with predictions obtained using WHAM6 [17] or WHAM7. [18] We found that measurements and model predictions based only on metal binding by humic-type ligands (i.e. DOM) were in broad agreement, but in many cases differences were greater than could be explained by data uncertainty, and there was a tendency for the differences to be larger at low metal concentrations.…”
Section: Introductionmentioning
confidence: 69%
“…The data set is summarised in Tables 1 and S1, with further details in references. [14][15][16] Chemical speciation modelling We used WHAM [10] incorporating Humic Ion-Binding Model VII [18] to perform the speciation calculations; previously, the open-ocean calculations [16] were done using Model VI. [17] Models VI and VII use structured formulations of discrete, chemically plausible binding sites for protons in humic and fulvic acids (HA, FA), in order to allow the creation of regular arrays of bidentate and tridentate binding sites for metals.…”
Section: The Data Setmentioning
confidence: 99%
“…WHAM constants are derived from the results of numerous studies of proton and metal binding by isolated humic substances, together with linear free-energy relationships. [18] To make WHAM7, the humic ion-binding model is combined with an inorganic speciation model, the species list and constants for which were given by Tipping. [10] The inorganic reactions in this database are restricted to monomeric complexes of metals.…”
Environmental context. The chemical speciation of metals strongly influences their transport, fate and bioavailability in natural waters. Analytical measurement and modelling both play important roles in understanding speciation, while modelling is also needed for prediction. Here, we analyse a large set of data for fresh waters, estuarine and coastal waters, and open ocean water, to examine how well measurements and modelling predictions agree.Abstract. We compiled a data set of ,2000 published metal speciation measurements made on samples of fresh waters, estuarine and coastal waters, and open ocean waters. For each sample, we applied the chemical speciation model WHAM7 to calculate the equilibrium free metal ion concentrations, [M] (mol L À1 ), amounts of metal bound by dissolved organic matter (DOM), n (mol g À1 ), and their ratio n/[M] (L g À1 ), which is a kind of 'local' partition coefficient. Comparison of the measured and predicted speciation variables for the whole data set showed that agreements are best for fresh waters,
“…We have previously performed three such studies focussing on data from fresh waters, [14] estuarine and coastal waters [15] and the open ocean, [16] and comparing them with predictions obtained using WHAM6 [17] or WHAM7. [18] We found that measurements and model predictions based only on metal binding by humic-type ligands (i.e. DOM) were in broad agreement, but in many cases differences were greater than could be explained by data uncertainty, and there was a tendency for the differences to be larger at low metal concentrations.…”
Section: Introductionmentioning
confidence: 69%
“…The data set is summarised in Tables 1 and S1, with further details in references. [14][15][16] Chemical speciation modelling We used WHAM [10] incorporating Humic Ion-Binding Model VII [18] to perform the speciation calculations; previously, the open-ocean calculations [16] were done using Model VI. [17] Models VI and VII use structured formulations of discrete, chemically plausible binding sites for protons in humic and fulvic acids (HA, FA), in order to allow the creation of regular arrays of bidentate and tridentate binding sites for metals.…”
Section: The Data Setmentioning
confidence: 99%
“…WHAM constants are derived from the results of numerous studies of proton and metal binding by isolated humic substances, together with linear free-energy relationships. [18] To make WHAM7, the humic ion-binding model is combined with an inorganic speciation model, the species list and constants for which were given by Tipping. [10] The inorganic reactions in this database are restricted to monomeric complexes of metals.…”
Environmental context. The chemical speciation of metals strongly influences their transport, fate and bioavailability in natural waters. Analytical measurement and modelling both play important roles in understanding speciation, while modelling is also needed for prediction. Here, we analyse a large set of data for fresh waters, estuarine and coastal waters, and open ocean water, to examine how well measurements and modelling predictions agree.Abstract. We compiled a data set of ,2000 published metal speciation measurements made on samples of fresh waters, estuarine and coastal waters, and open ocean waters. For each sample, we applied the chemical speciation model WHAM7 to calculate the equilibrium free metal ion concentrations, [M] (mol L À1 ), amounts of metal bound by dissolved organic matter (DOM), n (mol g À1 ), and their ratio n/[M] (L g À1 ), which is a kind of 'local' partition coefficient. Comparison of the measured and predicted speciation variables for the whole data set showed that agreements are best for fresh waters,
“…Speciation of soil pore waters To assess the potential toxicity of the metals in the centrifuged pore waters on soil biota we compared free ion concentrations obtained using WHAM 7 21 against the 'critical limits' published by Lofts et al 18 and de Vries et al 19 . Input data to WHAM 7 40 included solution pH, temperature (277 K) and solution concentrations of Na, Mg, Al, K, Ca, Fe(III), Mn, Ni, Cu, Zn, Cd, Pb, Cl -, NO 3 -, SO 4 2-, CO 3 2-, F -and PO 4 3-.…”
5Alluvial soils can store a wide range of metal contaminants originating from point and diffuse sources. The biological health of these soils is important as they act as an interface between terrestrial and aquatic environments, therefore playing an important role in maintaining the quality of surface waters. The aim of this work was to examine the lability, solubility and bioavailability of Pb, Zn and Cd in the top (0-15 cm) and sub soil (35-50 cm) of metal contaminated alluvial soils from the Trent catchment, U.K. Samples 10 (n=46) were collected from within 10m of the river bank. Sources of contamination include historical mining, industry, sewage treatment works and energy production. Enrichment factors based on total metal concentrations showed that contamination in soils declined with distance from the mining areas before rising again as a result of general urbanisation and identified point sources (e.g. river dredging activities). Pore waters were extracted and isotopic dilution and single extraction assays were undertaken on the soils 15 to assess the lability and solubility of the metals. Multi-element isotopic dilution assays were used to determine the labile pool or E-value of these metals in the soil. E-value concentrations were found to range between 0.5-14 mg/kg, 11-350 mg/kg and 25-594 mg/kg for Cd, Pb and Zn, respectively. Comparison of the E-value assay with the EU standard extraction assay for trace element availability (0.05M EDTA) showed that EDTA extractions generally over-estimated the E-value for Zn and Pb,with 20 the difference being greater as contamination levels increased. Bioavailability of the metals was assessed by speciating the pore waters [M Sol ] using WHAM 7 to obtain estimates of free ion activities (M 2+ ). Values of (M 2+ ) were compared to published 'median critical limits' for soils that estimate levels of protection for 95% of biological species. For each of the three metals, (M 2+ ) was found to exceed these critical limits at some sites. Solubility of the metals are reported using K d values expressed using both the 25 total and E-value as the solid phase. Finally we examine the use of different metal pools (total, E-value, EDTA-extractable) and different measures of Fe oxide pools (total, free total, free amorphous), in predicting [M Sol ] concentrations and (M 2+ ) using WHAM 7 in assemblage modelling mode. Overall best simultaneous model predictions for the three metals were obtained using the E-values. Larger overestimates of [M Sol ] and (M 2+ ) were produced using the EDTA and total metal pools whereas a better 30 fitting in the prediction was obtained when models used either the total or the free total FeOx pools.
IntroductionAlluvial soils act as archives for fluvially dispersed metal contaminants from numerous sources [1][2][3][4][5] . These soils are often used in intensive agricultural systems. Several studies in the UK 35 have previously noted the potential for metal transfer into cattle, when grazing grass grown on contaminated alluvial soils [6][7] . In a...
“…In the present study, WHAM VII was used for modelling metal accumulation in 135 plant roots (Tipping, 1994;Tipping et al, 2011). In WHAM, metal sorption to humic 136 substances is simulated by using a structured formulation of discrete, chemically-137 simultaneously because the data were generated in mixture exposures.…”
. 2015. Modelling metal accumulation using humic acid as a surrogate for plant roots.Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.
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