2006
DOI: 10.1016/j.chemosphere.2005.08.008
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Field study of methidathion in soil amended with biosolid and a cationic surfactant under different irrigation regimes. Solute transport modeling

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Cited by 8 publications
(11 citation statements)
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“…Rate constants from the SFO fitting were used, because they are available for both pesticides in both soils and because one constant covers the whole degradation period. Correlation coefficients (batch approach, r = −0.783; saturated paste approach, r = −0.813) confirm that both constants were inversely related, in agreement with other reports concerning different pesticide families, which have established an inverse relationship between pesticide adsorption and degradation in soils (Di et al, 1998;Sánchez et al, 2003;Prado et al, 2014), suggesting that the degradation rate in the soil solution is more rapid than in the sorbed phase (Guo et al, 2000). In addition, the rate constants (k 2 ) from the fitting to the DFOP model, which explain the decay herbicide behaviour of N85% in S5 and N72% in S2 (Tables 2 and 3), were also inversely correlated with sorption constants (batch approach, r = − 0.792; saturated paste approach, r = − 0.890) (ElGouzi et al, 2012) implying a further confirmation of the previous assumption.…”
Section: Non-sterile Soilssupporting
confidence: 87%
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“…Rate constants from the SFO fitting were used, because they are available for both pesticides in both soils and because one constant covers the whole degradation period. Correlation coefficients (batch approach, r = −0.783; saturated paste approach, r = −0.813) confirm that both constants were inversely related, in agreement with other reports concerning different pesticide families, which have established an inverse relationship between pesticide adsorption and degradation in soils (Di et al, 1998;Sánchez et al, 2003;Prado et al, 2014), suggesting that the degradation rate in the soil solution is more rapid than in the sorbed phase (Guo et al, 2000). In addition, the rate constants (k 2 ) from the fitting to the DFOP model, which explain the decay herbicide behaviour of N85% in S5 and N72% in S2 (Tables 2 and 3), were also inversely correlated with sorption constants (batch approach, r = − 0.792; saturated paste approach, r = − 0.890) (ElGouzi et al, 2012) implying a further confirmation of the previous assumption.…”
Section: Non-sterile Soilssupporting
confidence: 87%
“…However in some cases the estimated decay data of both pesticides showed a poor agreement with the measured pesticide concentrations. Deviations from the SFO kinetic model have been reported in the literature (Sánchez et al, 2003;Delgado-Moreno and Peña, 2009;Hernández-Soriano et al, 2009;Herrero-Hernández et al, 2011;Marín-Benito et al, 2012).…”
Section: Degradation Kinetic Modelsmentioning
confidence: 92%
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“…Direct quantification of preferential flow is generally very difficult because of both spatial and temporal varability (Demuth and Hiltpold, 1993). However, lack of correlation between pesticide data obtained from soil and from water samples has been observed and attributed to preferential flow phenomena (Sanchez et al, 2006;Laabs et al, 2000). Additionally, several column, lysimeter, and field experiments indicate rapid, preferential transport of pesticides (e.g.…”
Section: Introductionmentioning
confidence: 97%
“…On the contrary, Graber et al [7] observed a sustained enhanced effect on atrazine and terbuthylazine transport in a field amended with sewage sludge, whereas bromacil was preferentially accumulated in the upper soil layers of the sludge amended soil. Sánchez et al [8] found no effect of biosolid amendment on methidation mobility.…”
Section: Introductionmentioning
confidence: 99%