Non-point source evaluation of groundwater nitrate contamination from agriculture under geologic uncertainty

Ayub, Riyana; Messier, Kyle P.; Serre, Marc L.; Mahinthakumar, K.

doi:10.1007/s00477-019-01669-z

Cited by 16 publications

(7 citation statements)

References 57 publications

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“…The set-up of consistent spatial correlation matrices along more complex river networks than ours is described as a particular challenge (cf., e.g., Peterson et al 2007). With more data than we have from groundwater-stations not directly adjacent to a river, the latter could be regarded as an inhomogeneous line source of contamination (cf., e.g., Ayub et al 2019). Another option would be the incorporation of more detailed river network features, such as water amounts, stream velocity and smaller tributaries (cf., Ver Hoef et al 2006), if corresponding data were available.…”

Section: Related Modelling Approachesmentioning

confidence: 99%

Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany

Rathjens

Becker

Kolbe

et al. 2020

Stoch Environ Res Risk Assess

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Perfluorooctanoic acid (PFOA) and related chemicals among the per- and polyfluoroalkyl substances are widely distributed in the environment. Adverse health effects may occur even at low exposure levels. A large-scale contamination of drinking water resources, especially the rivers Möhne and Ruhr, was detected in North Rhine-Westphalia, Germany, in summer 2006. As a result, concentration data are available from the water supply stations along these rivers and partly from the water network of areas supplied by them. Measurements started after the contamination’s discovery. In addition, there are sparse data from stations in other regions. Further information on the supply structure (river system, station-to-area relations) and expert statements on contamination risks are available. Within the first state-wide environmental-epidemiological study on the general population, these data are temporally and spatially modelled to assign estimated exposure values to the resident population. A generalized linear model with an inverse link offers consistent temporal approaches to model each station’s PFOA data along the river Ruhr and copes with a steeply decreasing temporal data pattern at mainly affected locations. The river’s segments between the main junctions are the most important factor to explain the spatial structure, besides local effects. Deductions from supply stations to areas and, therefore, to the residents’ risk are possible via estimated supply proportions. The resulting potential correlation structure of the supply areas is dominated by the common water supply from the Ruhr. Other areas are often isolated and, therefore, need to be modelled separately. The contamination is homogeneous within most of the areas.

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Section: Related Modelling Approachesmentioning

confidence: 99%

Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany

Rathjens

Becker

Kolbe

et al. 2020

Stoch Environ Res Risk Assess

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“…En España se vierten en torno a 60 millones de toneladas anuales de purines de cerdo cuya concentración en nitrógeno es 40 veces superior al de las aguas residuales (Quispe et al, 2014), provocando cambios en el suelo en grandes áreas, incrementando el pH, aportando nutrientes y materia orgánica y disminuyendo la movilidad de los metales (Jiménez Ortiz et al, 2019). Por su composición química, suelen ser aprovechados con cierto éxito como fertilizantes en las tierras de cultivo próximas a la explotación ganadera (Christenson y Serre, 2015;Quemada et al, 2020), aunque la alta concentración está provocando graves problemas de contaminación por nitratos en las aguas subterráneas, ya sea por el inadecuado aprovechamiento para la agricultura o por su incorrecto tratamiento de depuración (Fernández, 2007;Ayub et al, 2019).…”

Section: Introductionunclassified

Análisis de la reflectividad espectral del suelo en la contaminación por purines procedente de la ganadería intensiva

Valero

Oudenhove

Pérez‐Cutillas

2023

ETFVI

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El sector porcino en España representa el 14% de la producción total agraria, siendo un sector de gran importancia en la economía nacional. Pero las explotaciones de ganadería intensiva suponen un riesgo para la salud pública y el medio ambiente. Las pérdidas de nitratos por lixiviación provenientes del vertido de purines a las aguas superficiales y subterráneas se han convertido en un grave problema medioambiental en la actualidad. En este trabajo se analizaron mediante técnicas de teledetección un conjunto de imágenes del satélite Sentinel-2 para analizar la reflectividad de los vertidos de purines. Se emplearon imágenes de periodos estivales e invernales entre los años 2015 y 2022 para caracterizar la respuesta espectral de dos parcelas, una de vertidos de purines y otra de control. Los resultados obtenidos mostraron cambios significativos en la humedad y cobertura del suelo, que podrían estar relacionadas al vertido de purines. Sin embargo, estos datos no están exentos de incertidumbre, los cuales podrían estar influenciados por las diferencias en la estructura, textura y composición de los suelos, por los fenómenos climáticos, así como por las características de las imágenes de satélite utilizadas (frecuencia de captura y resolución espacial-espectral del sensor). A pesar de estas limitaciones, se ha podido observar un mayor rango espectral en la parcela de vertidos durante los meses de verano respecto al invierno debido a las diferencias de humedad captadas en el espectro de infrarrojo medio (SWIR).

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“…34 Groundwater is also commonly contaminated by nitrate. 36,37 Moreover, nitrate has great potentials to be used as an electron acceptor in the microbial treatment of contaminants in soils and sediments, such as As(III), S 2− , and some organic compounds. 38−40 In the recent decade, nitrate contamination is becoming increasingly worse.…”

Section: Introductionmentioning

confidence: 99%

Contradictory Impacts of Nitrate on the Dissimilatory Arsenate-Respiring Prokaryotes-Induced Reductive Mobilization of Arsenic from Contaminated Sediments: Mechanism Insight from Metagenomic and Functional Analyses

Zeng,

Xu,

et al. 2023

Environ. Sci. Technol.

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Non-point source evaluation of groundwater nitrate contamination from agriculture under geologic uncertainty

Cited by 16 publications

References 57 publications

Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany

Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany

Análisis de la reflectividad espectral del suelo en la contaminación por purines procedente de la ganadería intensiva

Contradictory Impacts of Nitrate on the Dissimilatory Arsenate-Respiring Prokaryotes-Induced Reductive Mobilization of Arsenic from Contaminated Sediments: Mechanism Insight from Metagenomic and Functional Analyses

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