Quantification of biodegradation for o-xylene and naphthalene using first order decay models, Michaelis–Menten kinetics and stable carbon isotopes

Blum, Philipp; Hunkeler, Daniel; Weede, Matthias; Beyer, Christof; Grathwohl, Peter; Morasch, Barbara

doi:10.1016/j.jconhyd.2008.11.009

Cited by 47 publications

(54 citation statements)

References 54 publications

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“…CSIA has been used to study the fate of various groundwater pollutants, such as monoaromatic and polyaromatic hydrocarbons (Blum et al, 2009;Vieth et al, 2005;Griebler et al, 2004), MTBE (Kolhatkar et al, 2002;Zwank et al, 2005), chlorinated ethenes Sherwood Lollar et al, 2000), perchlorate (Sturchio et al, 2012), nitrate (Deutsch et al, 2006;Ging et al, 1996;Seiler, 2005;Zhang et al, 2012), and chromium (VI) (Wanner et al, 2012a). However, except for the identification of nitrate sources, it has so far not been used to examine diffuse pollution at the catchment scale.…”

Section: S R Lutz Et Al: Potential Use Of Csia In River Monitoringmentioning

confidence: 99%

A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollution

Lutz

Meerveld

Waterloo

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. Compound-specific stable isotope analysis (CSIA) has, in combination with model-assisted interpretation, proven to be a valuable approach to quantify the extent of organic contaminant degradation in groundwater systems. CSIA data may also provide insights into the origin and transformation of diffuse pollutants, such as pesticides and nitrate, at the catchment scale. While CSIA methods for pesticides have increasingly become available, they have not yet been deployed to interpret isotope data of pesticides in surface water. We applied a coupled subsurface-surface reactive transport model (HydroGeoSphere) at the hillslope scale to investigate the usefulness of CSIA in the assessment of pesticide degradation. We simulated the transport and transformation of a pesticide in a hypothetical but realistic twodimensional hillslope transect. The steady-state model results illustrate a strong increase of isotope ratios at the hillslope outlet, which resulted from degradation and long travel times through the hillslope during average hydrological conditions. In contrast, following an extreme rainfall event that induced overland flow, the simulated isotope ratios dropped to the values of soil water in the pesticide application area. These results suggest that CSIA can help to identify rainfallrunoff events that entail significant pesticide transport to the stream via surface runoff. Simulations with daily rainfall and evapotranspiration data and one pesticide application per year resulted in small seasonal variations of concentrations and isotope ratios at the hillslope outlet, which fell within the uncertainty range of current CSIA methods. This implies a good reliability of in-stream isotope data in the absence of transport via surface runoff or other fast transport routes, since the time of measurement appears to be of minor importance for the assessment of pesticide degradation. The analysis of simulated isotope ratios also allowed quantification of the contribution of two different reaction pathways (aerobic and anaerobic) to overall degradation, which gave further insight into the transport routes in the modelled system. The simulations supported the use of the commonly applied Rayleigh equation for the interpretation of CSIA data, since this led to an underestimation of the real extent of degradation of less than 12 % at the hillslope outlet. Overall, this study emphasizes the applicability and usefulness of CSIA in the assessment of diffuse river pollution, and represents a first step towards a theoretical framework for the interpretation of CSIA data in agricultural catchments.

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Section: S R Lutz Et Al: Potential Use Of Csia In River Monitoringmentioning

confidence: 99%

A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollution

Lutz

Meerveld

Waterloo

et al. 2013

Hydrol. Earth Syst. Sci.

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“…CSIA has been previously applied to study in situ degradation of organic groundwater contaminants (Blum et al, 2009;Elsner et al, 2012;Hunkeler et al, 2005;Schmidt and Jochmann, 2012;Wiegert et al, 2012;Zwank et al, 2005). In the context of diffuse agricultural pollution, CSIA has mainly been used to distinguish natural from anthropogenic nitrate sources and discern denitrification (Divers et al, 2014;Johannsen et al, 2008;Kellman and HillaireMarcel, 2003;Voss et al, 2006;Wexler et al, 2014).…”

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confidence: 99%

Pesticide fate on catchment scale: conceptual modelling of stream CSIA data

Lutz

Velde

Elsayed

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Compound-specific stable isotope analysis (CSIA) has proven beneficial in the characterization of contaminant degradation in groundwater, but it has never been used to assess pesticide transformation on catchment scale. This study presents concentration and carbon CSIA data of the herbicides S-metolachlor and acetochlor from three locations (plot, drain, and catchment outlets) in a 47 ha agricultural catchment (Bas-Rhin, France). Herbicide concentrations at the catchment outlet were highest (62 µg L −1 ) in response to an intense rainfall event following herbicide application. Increasing δ 13 C values of S-metolachlor and acetochlor by more than 2 ‰ during the study period indicated herbicide degradation. To assist the interpretation of these data, discharge, concentrations, and δ 13 C values of S-metolachlor were modelled with a conceptual mathematical model using the transport formulation by travel-time distributions. Testing of different model setups supported the assumption that degradation half-lives (DT50) increase with increasing soil depth, which can be straightforwardly implemented in conceptual models using travel-time distributions. Moreover, model calibration yielded an estimate of a field-integrated isotopic enrichment factor as opposed to laboratory-based assessments of enrichment factors in closed systems. Thirdly, the Rayleigh equation commonly applied in groundwater studies was tested by our model for its potential to quantify degradation on catchment scale. It provided conservative estimates on the extent of degradation as occurred in stream samples. However, largely exceeding the simulated degradation within the entire catchment, these estimates were not representative of overall degradation on catchment scale. The conceptual modelling approach thus enabled us to upscale sample-based CSIA information on degradation to the catchment scale. Overall, this study demonstrates the benefit of combining monitoring and conceptual modelling of concentration and CSIA data and advocates the use of traveltime distributions for assessing pesticide fate and transport on catchment scale.

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“…Recently, the stable isotope-based model was applied to determine first-order rate constants for o-xylene and naphthalene degradation at a former wood preservation plant (Blum et al, 2009). Under strictly reducing conditions, biodegradation of o-xylene proceeded at a rate of 2 Â 10 À3 /d which was in the same range as the rate constants for monoaromatic compounds at the Flé malle site.…”

Section: Quantitative Assessment Of In Situ Biodegradationmentioning

confidence: 99%

“…C is the shift in the carbon isotope ratio between the source and a downgradient monitoring point, and t c is the travel time of the contaminant (Hunkeler et al, 2002;Blum et al, 2009) …”

mentioning

confidence: 99%

Intrinsic biodegradation potential of aromatic hydrocarbons in an alluvial aquifer – Potentials and limits of signature metabolite analysis and two stable isotope-based techniques

et al. 2011

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Quantification of biodegradation for o-xylene and naphthalene using first order decay models, Michaelis–Menten kinetics and stable carbon isotopes

Cited by 47 publications

References 54 publications

A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollution

A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollution

Pesticide fate on catchment scale: conceptual modelling of stream CSIA data

Intrinsic biodegradation potential of aromatic hydrocarbons in an alluvial aquifer – Potentials and limits of signature metabolite analysis and two stable isotope-based techniques

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