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

Rieder, Stephan R.; Tipping, Edward; Zimmermann, Stephan; Waldner, Peter; Meili, Markus; Frey, Beat

doi:10.1016/j.scitotenv.2013.09.005

Cited by 14 publications

(5 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The natural inputs were assumed to be constant over time. In analogy to the work by Rieder et al (2014) for a Swiss forest, the geogenic deposition was estimated by https://doi.org/10.5194/soil-2020-21 Preprint. Discussion started: 25 May 2020 c Author(s) 2020.…”

Section: Estimation Of Metal Input Fluxes For the Modelmentioning

confidence: 99%

Modelling of long term Zn, Cu, Cd, Pb dynamics from soils fertilized with organic amendments

Cagnarini¹,

Lofts²,

D’Acqui³

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. Soil contamination by trace elements (TEs) is a major concern for sustainable land management. One potential source of excessive inputs of TEs into agricultural soils are organic amendments. Here, we use dynamic simulations carried out with the IDMM-ag model to describe observed trends of topsoil Zn, Cu, Pb and Cd concentrations in a long-term crop trial in Switzerland, where soils plots have been treated with differing organic amendments, particularly farmyard manure, sewage sludge and compost. IDMM-ag requires the definition of a parsimonious set of boundary conditions. The model adequately reproduced the metal EDTA-extractable concentrations in ZOFE when site-specific soil lateral mixing, due to mechanically ploughing of small plots, was introduced. Calibration of an additional metal input flux was necessary to fit the measured data, indicating that knowledge gaps in quantifying historical metal inputs can affect field-scale simulations even in a well-characterized field. Projections of soil metal content in the long-term showed that, under stable organic amendment application rates, Zn and Cu labile concentrations might pose toxicological hazard for the soil ecosystem, particularly in the sewage sludge-amended plots. The sewage sludge topsoil was characterized by some variability in the organic matter composition, potentially due to the applied sewage sludge quality, which might affect the metal lability: this effect should be accounted for in models. This study takes a step forward in assessing potential and limitations of the IDMM-ag model to predict TEs long-term dynamics in agricultural fields, paving the way to quantitative applications of TEs modelling at field and larger scales.

show abstract

Section: Estimation Of Metal Input Fluxes For the Modelmentioning

confidence: 99%

Modelling of long term Zn, Cu, Cd, Pb dynamics from soils fertilized with organic amendments

Cagnarini¹,

Lofts²,

D’Acqui³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The mineralogical composition shown in Table 1 was based on the mineralogy given by Sverdrup et al (1998) for the Gårdsjön site. The mineral surface area was estimated from particle-size analysis using the relationship of Sverdrup (1996).…”

Section: Comparison Of Model Descriptions -General Approachmentioning

confidence: 99%

Aluminium and base cation chemistry in dynamic acidification models – need for a reappraisal?

Gustafsson

Belyazid

McGivney

et al. 2018

SOIL

View full text Add to dashboard Cite

Abstract. Long-term simulations of the water composition in acid forest soils require that accurate descriptions of aluminium and base cation chemistry are used. Both weathering rates and soil nutrient availability depend on the concentrations of Al3+, of H+, and of base cations (Ca2+, Mg2+, Na+, and K+) . Assessments of the acidification status and base cation availability will depend on the model being used. Here we review in what ways different dynamic soil chemistry models describe the processes governing aluminium and base cation concentrations in the soil water. Furthermore, scenario simulations with the HD-MINTEQ model are used to illustrate the difference between model approaches. The results show that all investigated models provide the same type of response to changes in input water chemistry. Still, for base cations we show that the differences in the magnitude of the response may be considerable depending on whether a cation-exchange equation (Gaines–Thomas, Gapon) or an organic complexation model is used. The former approach, which is used in many currently used models (e.g. MAGIC, ForSAFE), causes stronger pH buffering over a relatively narrow pH range, as compared to state-of-the-art models relying on more advanced descriptions in which organic complexation is important (CHUM, HD-MINTEQ). As for aluminium, a “fixed” gibbsite constant, as used in MAGIC, SMART/VSD, and ForSAFE, leads to slightly more pH buffering than in the more advanced models that consider both organic complexation and Al(OH)3(s) precipitation, but in this case the effect is small. We conclude that the descriptions of acid–base chemistry and base cation binding in models such as MAGIC, SMART/VSD, and ForSAFE are only likely to work satisfactorily in a narrow pH range. If the pH varies greatly over time, the use of modern organic complexation models is preferred over cation-exchange equations.

show abstract

“…This model has mostly been used to simulate the long-term behaviour of metals in UK and in Switzerland (Tipping et al 2010;Rieder et al 2014). In one paper, however, the CHUM-AM model was used to simulate the changes in SOIL Discuss., https://doi.org/10.5194/soil-2018-19 Manuscript under review for journal SOIL Discussion started: 29 June 2018 c Author(s) 2018.…”

Section: Aluminium and Base Cations In Chum-am And In Hd-minteqmentioning

confidence: 99%

Aluminium and base cation chemistry in dynamic acidification models – need for a reappraisal?

Gustafsson¹,

Belyazid²,

McGivney³

et al. 2018

Preprint

View full text Add to dashboard Cite

Abstract. Long-term simulations of the water composition in acid forest soils require that accurate descriptions of aluminium and base cation chemistry are used. Both weathering rates and soil nutrient availability depend on the concentrations of Al 3+ ,of H+, and of base cations (Ca 2+ , Mg 2+ , Na + and K + ). Consequently, assessments of the acidification status and base cation 15 availability will depend on the model being used. Here we review in what ways different dynamic soil chemistry models describe the processes governing aluminium and base cation concentrations in the soil water. Furthermore, scenario simulations with the HD-MINTEQ are used to illustrate the difference between model approaches. The results show that all investigated models provide the same type of response to changes in input water chemistry. Still, for base cations we show that the differences in the magnitude of the response may be considerable depending on whether a cation-exchange equation 20 (Gaines-Thomas, Gapon) or an organic complexation model is used. The former approach, which is used in many currently used models (e.g. MAGIC, ForSAFE), causes stronger pH-buffering over a relatively narrow pH range, as compared to stateof-the-art models relying on more advanced descriptions in which organic complexation is important (CHUM, HD-MINTEQ).As for aluminium, a fixed gibbsite constant, as used in MAGIC and ForSAFE, leads to slightly more pH-buffering than in the more advanced models that consider both organic complexation and Al(OH)3(s) precipitation, but in this case the effect is 25 small. We conclude that the descriptions of acid-base chemistry and base cation binding in models such as MAGIC and ForSAFE are only likely to work satisfactorily in a narrow pH range. If the pH varies greatly over time, the use of modern organic complexation models is preferred over cation exchange equations.

show abstract

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

Cited by 14 publications

References 47 publications

Modelling of long term Zn, Cu, Cd, Pb dynamics from soils fertilized with organic amendments

Modelling of long term Zn, Cu, Cd, Pb dynamics from soils fertilized with organic amendments

Aluminium and base cation chemistry in dynamic acidification models – need for a reappraisal?

Aluminium and base cation chemistry in dynamic acidification models – need for a reappraisal?

Contact Info

Product

Resources

About