Cargando…

Legacy of contaminant N sources to the NO(3)(−) signature in rivers: a combined isotopic (δ(15)N-NO(3)(−), δ(18)O-NO(3)(−), δ(11)B) and microbiological investigation

Nitrate content of surface waters results from complex mixing of multiple sources, whose signatures can be modified through N reactions occurring within the different compartments of the whole catchment. Despite this complexity, the determination of nitrate origin is the first and crucial step for w...

Descripción completa

Detalles Bibliográficos
Autores principales: Briand, Cyrielle, Sebilo, Mathieu, Louvat, Pascale, Chesnot, Thierry, Vaury, Véronique, Schneider, Maude, Plagnes, Valérie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288703/
https://www.ncbi.nlm.nih.gov/pubmed/28150819
http://dx.doi.org/10.1038/srep41703
Descripción
Sumario:Nitrate content of surface waters results from complex mixing of multiple sources, whose signatures can be modified through N reactions occurring within the different compartments of the whole catchment. Despite this complexity, the determination of nitrate origin is the first and crucial step for water resource preservation. Here, for the first time, we combined at the catchment scale stable isotopic tracers (δ(15)N and δ(18)O of nitrate and δ(11)B) and fecal indicators to trace nitrate sources and pathways to the stream. We tested this approach on two rivers in an agricultural region of SW France. Boron isotopic ratios evidenced inflow from anthropogenic waters, microbiological markers revealed organic contaminations from both human and animal wastes. Nitrate δ(15N) and δ(18)O traced inputs from the surface leaching during high flow events and from the subsurface drainage in base flow regime. They also showed that denitrification occurred within the soils before reaching the rivers. Furthermore, this study highlighted the determinant role of the soil compartment in nitrate formation and recycling with important spatial heterogeneity and temporal variability.