Critical Limits for Hg(II) in soils, derived from chronic toxicity data

Tipping, E.; Lofts, Stephen; Hooper, Helen L.; Frey, Beat; Spurgeon, David J.; Svendsen, Claus

doi:10.1016/j.envpol.2010.03.027

Cited by 75 publications

(29 citation statements)

References 34 publications

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“…Limit Functions [62,70] and WHAM-F TOX [59] ) that use predicted speciation, will have parameter 372 values specific to the chosen Humic Ion Binding Model. 373…”

Section: Comparisons Of Outputs From Models VI and Vii 285mentioning

confidence: 99%

Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances

2011

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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 [3] or VI [4] permits the calculation of equilibrium chemical speciation for waters and soils in 56 which natural organic matter plays a significant role. The ion-binding models are based on 57 conventional chemical reactions involving O-containing weak acids, with empirical estimation 58 of the influence of soft ligand atoms (N, S) and electrostatic corrections, and are 59 parameterised from laboratory studies with isolated humic and fulvic acids. The NICA 60 model [5] is similarly parameterised and provides an alternative picture based on continuous 61 binding-site distributions. Tipping [2] identified both the Humic Ion-Binding Models and NICA 62 as comprehensive models, meaning that they deal with competitive interactions involving all 63 cations (including H + ), and take account of ionic strength effects and metal-proton exchange 64 ratios. They seek to represent cation-binding by the complex mixtures that comprise natural 65 organic matter as efficiently as possible, with the minimum number of parameters, in order to 66 be useful in addressing chemical processes in the environment. A different approach to 67 these parameterised models, but also potentially comprehensive, is the "forward modelling" 68 developed by Cabaniss [6] in which binding is calculated a priori from the known or assumed 69 distributed chemistry of humic substances. 70 Tipping et al. Humic Ion-Binding Model VII_REVISIONWHAM has been applied in a variety of research and regulatory areas. Examples include 71 the acidification of soils [7][8][9][10][11][12][13][14] and surface waters [15] , trace metal behaviour in soils [16][17][18][19][20][21][22] , surface 72 waters [23][24][25][26][27][28][29][30][31] and groundwaters [32] , lake sediment diagenesis [33,34] , rare earth geochemistry [35-73 37] , iron and manganese geochemistry [38][39][40][41] , radionclide geochemistry [42][43][44][45] , organic matter 74 solubility in soils [46,47] , catchment modelling [48,49] , interactions of metals with biota [50,51] , 75 ecotoxicology [52][53][54][55][56][57][58][59] and Critical Loads [60][61][62] . Given this evident utility, it is worthwhile to 76 continue to improve the humic ion-binding model and incorporate new data into its 77 parameterisation. Here we report on activities undertaken towards these goals, namely 78 modification of assumptions about multidentate binding, the fitting of new data, and the 79 introduction of a procedure to obtain more internally-consistent parameters. 80Changes in binding site formulation were prompte...

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“…Limit Functions [62,70] and WHAM-F TOX [59] ) that use predicted speciation, will have parameter 372 values specific to the chosen Humic Ion Binding Model. 373…”

Section: Comparisons Of Outputs From Models VI and Vii 285mentioning

confidence: 99%

Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances

2011

Self Cite

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“…As such, the results of this study hopefully will provide further crucial evidence for recognizing the increased threat of As, Pb, and Hg to the health of a water system in a salting environment Rundgren et al, 1992;Tipping et al, 2010).…”

Section: Introductionmentioning

confidence: 92%

“…Pb accumulation in the food chain can result in a negative neurocognitive outcome for animals and people (Datko-Williams et al, 2014). Elevated concentrations of Hg also have detrimental effects on microbes and invertebrates (Rundgren et al, 1992;Tipping et al, 2010).…”

Section: Introductionmentioning

confidence: 98%

Mobilization of arsenic, lead, and mercury under conditions of sea water intrusion and road deicing salt application

Sun

Alexander

Gove

et al. 2015

Journal of Contaminant Hydrology

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“…The OAPC (OAPC, 1985) deposition values, for both Cd and Pb, should be reduced to maintain soil fertility with an unconfined microbial activity. The CL will lead to concentrations rarely exceeding the critical limits, except for the critical limit for Hg as proposed by Tipping et al (2010a). In contrast, critical limits for Cd are exceeded in most soils by a deposition according to the CL (Lazzaro et al, 2006a;OIS, 1998).…”

Section: Long Term Trends In Hm Concentrationmentioning

confidence: 99%

“…The different deposition scenarios are shown in Table 3. We compared the measured and modelled HM concentrations with several critical limit concentrations based on total contents of HM g -1 soil (OAPC, 1985;Tipping et al, 2010a); on total HM per g -1 SOM (Lofts et al, 2004;Meili et al, 2003;Tipping et al, 2010a); or on HM concentrations per L -1 soil solution (De Vries et al, 2007;Lazzaro et al, 2006a;Lazzaro et al, 2006b;WHO, 2004) (Table 4). The critical limits were calculated per site and per soil layer as they depend on soil properties.…”

Section: Scenariosmentioning

confidence: 99%

Dynamic modelling of the long term behaviour of cadmium, lead and mercury in Swiss forest soils using CHUM-AM

Rieder

Tipping

Zimmermann

et al. 2014

Science of The Total Environment

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Beat. 2014. Dynamic modelling of the long term behaviour of cadmium, lead and mercury in Swiss forest soils using CHUM-AM.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. to predict metal concentrations in the soils for the next 1000 years. Assuming current loads concentrations of Cd and Pb showed varying trends (increasing/decreasing) between the soils. Soils rich in organic carbon or with a high pH value showed increasing trends in Cd and Pb concentrations whereas the concentrations in the other soils decreased.In contrast Hg concentrations are predicted to further increase in all soils. Critical limits for Pb and Hg will partly be exceeded by current loads or by the critical loads proposed by the CLRTAP but the critical limits for Cd will rarely be reached within the next 1000 years. In contrast, maximal acceptable deposition will partly lead to concentrations above the critical limits for Pb in soils within the next 400 years, whereas the acceptable deposition of Cd will not lead to concentrations above the proposed critical limits. In conclusion the CHUM-AM model is able to accurately simulate heavy metal (Cd, Pb and Hg) concentrations in Swiss forest soils of various soil properties.3

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Critical Limits for Hg(II) in soils, derived from chronic toxicity data

Cited by 75 publications

References 34 publications

Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances

Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances

Mobilization of arsenic, lead, and mercury under conditions of sea water intrusion and road deicing salt application

Dynamic modelling of the long term behaviour of cadmium, lead and mercury in Swiss forest soils using CHUM-AM

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