Optimisation of pressurised liquid extraction for the ultra-trace quantification of 20 priority substances from the European Water Framework Directive in atmospheric particles by GC–MS and LC–FLD–MS/MS

Becouze-Lareure, Céline; Wiest, Laure; Baudot, Robert; Bertrand-Krajewski, Jean-Luc; Cren-Olivé, Cécile

doi:10.1016/j.aca.2011.03.008

Cited by 13 publications

(3 citation statements)

References 49 publications

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“…In fact, complex matrices are known to cause ion suppression effects in GC-MS leading ultimately to a severe decrease in the detection limits of target International Journal of Environmental Analytical Chemistry 1037 organics [29]. On the basis of the obtained results, the limit of detection (LOD) in soil sample was evaluated for all investigated congeners added on a PCB-free soil sample.…”

Section: Limits Of Detection Of Pcbs and Calibration Plotsmentioning

confidence: 99%

Direct analysis of polychlorinated biphenyls in heavily contaminated soils by thermal desorption/gas chromatography/mass spectrometry

Mascolo

Bagnuolo

Tommaso

et al. 2013

International Journal of Environmental Analytical Chemistry

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Section: Limits Of Detection Of Pcbs and Calibration Plotsmentioning

confidence: 99%

Direct analysis of polychlorinated biphenyls in heavily contaminated soils by thermal desorption/gas chromatography/mass spectrometry

Mascolo

Bagnuolo

Tommaso

et al. 2013

International Journal of Environmental Analytical Chemistry

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“…Much research has been conducted by the various teams participating at all levels of study: the characterisation of precipitations (Emmanuel et al 2012;Renard et al 2012;Lepioufle et al 2012), microbiology (Badin et al 2012;Maazouzi et al 2011) and the pollution of receiving environments (Becouze et al 2011;Becouze-Lareure 2012), and the hydrological modelling of the consequences of builtup areas Kouyi et al 2011). New themes include study of local effects on pluviometry, such as those related to urban environments (roughness, island of urban heat, pollution, albedo, etc.…”

Section: Introductionmentioning

confidence: 99%

Local influence of south-east France topography and land cover on the distribution and characteristics of intense rainfall cells

Renard

2016

Theor Appl Climatol

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The Greater Lyon area is strongly built up, grouping 58 communes and a population of 1.3 million in approximately 500 km 2 . The flood risk is high as the territory is crossed by two large watercourses and by streams with torrential flow. Floods may also occur in case of runoff after heavy rain or because of a rise in the groundwater level. The whole territory can therefore be affected, and it is necessary to possess in-depth knowledge of the depths, causes and consequences of rainfall to achieve better management of precipitation in urban areas and to reduce flood risk. This study is thus focused on the effects of topography and land cover on the occurrence, intensity and area of intense rainfall cells. They are identified by local radar meteorology (C-band) combined with a processing algorithm running in a geographic information system (GIS) which identified 109,979 weighted mean centres of them in a sample composed of the five most intense rainfall events from 2001 to 2005. First, analysis of spatial distribution at an overall scale is performed, completed by study at a more detailed scale. The results show that the distribution of high-intensity rainfall cells is spread in cluster form. Subsequently, comparison of intense rainfall cells with the topography shows that cell density is closely linked with land slope but that, above all, urbanised zones feature nearly twice as many rainfall cells as farm land or forest, with more intense intensity.

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“…Por lo tanto, en la actualidad existe la necesidad del desarrollo y la validación de tecnologías rentables y metodologías que puedan ser ampliamente adoptadas para el control y gestión constante de las aguas residuales y en general de todo tipo de aguas, los cuales puedan detectar contaminantes que se encuentran en rastros o ultra-traza (µg/L o pg/L -conocidos como contaminantes emergentes) (Bester y Schäfer, 2009;Becouze et al, 2011).…”

Section: Mediciones En Continuounclassified

Métodos Machine learning aplicados para estimar la concentración de los contaminantes de la DQO y de los SST en hidrosistemas de saneamiento urbano a partir de espectrometría UV-Visible

Ávila¹

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El presente trabajo tuvo como objetivo desarrollar nuevas metodologías basadas en métodos machine learning, para lo cual se implementaron tres técnicas de inteligencia artificial denominadas: Support Vector Machine (SVM), Redes Neuronales Artificiales (RNA) y algoritmos evolutivos. Éste último fue empleado para realizar una optimización multiobjetivo de los parámetros SVM y RNA con el fin de estimar concentraciones equivalentes de determinates en continuo asociadas a las aguas de drenaje urbano mediante datos de espectrometría UV-visible in situ. Adicionalmente, para comprender mejor la relación entre el espectro de absorbancias y presencia-magnitud de los determinantes objeto de estudio (SST y DQO (total o filtrada)), se desarrollaron varias metodologías que abarcan los siguientes puntos importantes para consolidar y evaluar un modelo quimiométrico, orientas a: evaluar la incertidumbre de los datos medidos in situ y de ensayos de laboratorio (Ley de la propagación de la incertidumbre y métodos Monte Carlo), establecer la recurrencia y la relevancia de las longitudes de onda del espectro UV-Visible en su relación con la presencia de un determinante, y por último evaluar la calidad y representatividad de un par de datos espectro-concentración (outliers).

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Optimisation of pressurised liquid extraction for the ultra-trace quantification of 20 priority substances from the European Water Framework Directive in atmospheric particles by GC–MS and LC–FLD–MS/MS

Cited by 13 publications

References 49 publications

Direct analysis of polychlorinated biphenyls in heavily contaminated soils by thermal desorption/gas chromatography/mass spectrometry

Direct analysis of polychlorinated biphenyls in heavily contaminated soils by thermal desorption/gas chromatography/mass spectrometry

Local influence of south-east France topography and land cover on the distribution and characteristics of intense rainfall cells

Métodos Machine learning aplicados para estimar la concentración de los contaminantes de la DQO y de los SST en hidrosistemas de saneamiento urbano a partir de espectrometría UV-Visible

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