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NICA -Donnan

Recent studies have shown that the NICA-Donnan model fits very well to the acid-base titration data of HAs and FAs form organic amendments and of unamended and amended soils, pointing out substantial differences in site densities,... [Pg.156]

Koopal, L. K., Saito,T., Pinheiro, J. R, and Van Riemsdijk, W. H. (2005). Ion binding to natural organic matter General considerations and the NICA-Donnan model. Colloids Surf. A 265,40-54. [Pg.177]

Milne, C. J., Kinniburgh, D. G, and Tipping, E. (2001). Generic NICA-Donnan model parameters for proton binding by humic substances. Environ. Sci. Technol. 35, 2049-2059. [Pg.177]

Plaza, C., Senesi, N., Polo, A., and Brunetti, G. (2005b). Acid-base properties of humic and fulvic acids formed during composting by the NICA-Donnan model. Environ. Sci. Technol. 39, 7141-7146. [Pg.178]

Weng, L., Temminghoff, E. J. M., and Van Riemsdijk, W. H. (2002). Aluminum speciation in natural waters measurement using Donnan membrane technique and modeling using NICA-Donnan. Water Res. 36, 4215-4226. [Pg.405]

An alternative type of component additivity approach is to use different adsorption models for different adsorbents (Weng et al., 2001, 2002). These authors described Cd2+, Zn2+, and NP+ binding in soils by combining the diffuse layer model for hydrous ferric oxide, the CD-MUSIC model for goethite, the Donnan model for illite, and the nonideal competitive adsorption (NICA) Donnan model (Kmniburgh et al., 1999) for humic acid. [Pg.250]

Organic matter plays an important role in the binding of pollutants in natural environments. Several models are available to replicate the interaction of contaminants with natural organic matter. Nonideal competitive adsorption (NICA)-Donnan (ND) model is among the most popular ones. This model describes the interaction between cations and humic substances. ND is a... [Pg.44]

Christensen, J. B., E. Tipping, D. G. Kinnibuigh, C. Gr0n, and T. H. Christensen. 1998. Proton binding by gronndwater fulvic acids of different age, origins, and structure modeled with the model V and NICA-Donnan model. Environmental Science and Technology 32,... [Pg.410]

Drosos, M., M. Jerzykiewicz, and Y. Dehgiannakis. 2009. H-binding groups in lignite vs. soil humic acids NICA-Donnan and spectroscopic parameters. Journal of Colloid and Interface Science 332, no. 1 78-84. doi 10.1016/j.jcis.2008.12.023. [Pg.474]

Fernandez, J. M., C. Plaza, N. Senesi, and A. Polo. 2007. Acid-hase properties of humic substances from composted and thermally-dried sewage sludges and amended soils as determined hy potentiometric titration and the NICA-Donnan model. Chemosphere 69, no. 4 630-635. doi 10.1016/j.chemosphere.2007.02.063. [Pg.474]

Gustafsson, J. R, and D. B. Kleja. 2005. Modehng salt-dependent proton binding by organic soils with the NICA-Donnan and Stockholm humic models. Environmental Science Technology 39, no. 14 5372-5377. [Pg.474]

NICA-Donnan model. Environmental Science Technology 30, no. 5 1687-1698. doi 10.1021/es950695h. [Pg.475]

Vidali, R., E. Remoundaki, and M. Tsezos. 2011. An experimental and modelling study of Cu binding on humic acids at various solution conditions. Application of the NICA-Donnan model. Water, Air, Soil Pollution 218, no. 1 487-497. doi 10.1007/ si 1270-010-0662-z. [Pg.477]

Christl and Kretzschmar (2001) studied the interaction of copper with fulvic acid and hematite, and the results were compared with model calculations based on the linear additivity assumption. The sorption data for the ion-single sorbent systems were modeled with a basic Stem model (BSM) (Section 12.2.2) for hematite and the NICA-Donnan model for fulvic acid. In the second step, pH-dependent sorption of Cu and fulvic acid in systems containing Cu, hematite, and fulvic acid was investigated in batch sorption experiments. Comparison of the experimental data with model calculations shows that Cu sorption in binary hematite-fulvic acid systems is systematically underestimated by up to 30% by using the linear additivity assumption, as shown in Figure 14.4. [Pg.481]


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NICA -Donnan model

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