Your browser doesn't support javascript.
loading
Nitrate sources and transformation processes in groundwater of a coastal area experiencing various environmental stressors.
Boumaiza, Lamine; Ben Ammar, Safouan; Chesnaux, Romain; Stotler, Randy L; Mayer, Bernhard; Huneau, Frédéric; Johannesson, Karen H; Levison, Jana; Knöller, Kay; Stumpp, Christine.
Affiliation
  • Boumaiza L; University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, Ontario, N2T 0A4, Canada. Electronic address: lamine.boumaiza@uwaterloo.ca.
  • Ben Ammar S; Université de Carthage, Institut Supérieur des Technologies de L'Environnement de L'Urbanisme et de Bâtiment, Tunis, 2035, Tunisia.
  • Chesnaux R; Université Du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec, G7H 2B1, Canada.
  • Stotler RL; University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, Ontario, N2T 0A4, Canada.
  • Mayer B; University of Calgary, Department of Geoscience, Calgary, Alberta, T2N 1N4 Canada.
  • Huneau F; Université de Corse, CNRS UMR 6134 SPE, Département d'Hydrogéologie, Campus Grimaldi BP52, Corte, 20250, France.
  • Johannesson KH; University of Massachusetts Boston, School for the Environment, Boston, MA, 02125, USA.
  • Levison J; University of Guelph, School of Engineering, Morwick G360 Groundwater Research Institute, Guelph, Ontario, N1G 2W1, Canada.
  • Knöller K; Helmholtz Centre for Environmental Research, Department of Catchment Hydrology, Halle, Saale, 06120, Germany.
  • Stumpp C; University of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna, 1190, Austria.
J Environ Manage ; 345: 118803, 2023 Nov 01.
Article in En | MEDLINE | ID: mdl-37611515
ABSTRACT
In coastal salinized groundwater systems, contamination from various nitrate (NO3) inputs combined with complex hydrogeochemical processes make it difficult to distinguish NO3 sources and identify potential NO3 transformtation processes. Effective field-based NO3 studies in coastal areas are needed to improve the understanding of NO3 contamination dynamics in groundwater of such complex coastal systems. This study focuses on a typical Mediterranean coastal agricultural area, located in Tunisia, experiencing substantial NO3 contamination from multiple anthropogenic sources. Here, multiple isotopic tracers (δ18OH2O, δ2HH2O, δ15NNO3, δ18ONO3, and δ11B) combined with a Bayesian isotope MixSIAR model are used (i) to identify the major NO3 sources and their contributions, and (ii) to describe the potential NO3 transformation processes. The measured NO3 concentrations in groundwater are above the natural baseline threshold, suggesting anthropogenic influence. The measured isotopic composition of NO3 indicates that manure, soil organic matter, and sewage are the potential sources of NO3, while δ11B values constrain the NO3 contamination to manure; a finding that is supported by the results of MixSIAR model revealing that manure-derived NO3 dominates over other likely sources. Nitrate derived from manure in the study area is attributed to organic fertilizers used to promote crop growth, and livestock that deposit manure directly on the ground surface. Evidence for ongoing denitrification in groundwaters of the study area is supported by an enrichment in both 15N and 18O in the remaining NO3, although isotopic mass balances between the measured and the theoretical δ18ONO3 values also suggest the occurrence of nitrification. The simultaneous occurrence of these biogeochemical processes with heterogeneous distribution across the study area reflect the complexity of interactions within the investigated coastal aquifer. The multiple isotopic tracer approach used here can identify the effect of multiple NO3 anthropogenic activities in coastal environments, which is fundamental for sustainable groundwater resources management.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Groundwater Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: J Environ Manage Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Groundwater Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: J Environ Manage Year: 2023 Document type: Article