Identifying the sources of nitrate contamination using a combined dual isotope, chemical and Bayesian model approach in a tropical agricultural river: Case study in the Mun River, Thailand.
Agricultural river basin
Nitrate
SIAR calculation
Source appointment
Stable isotopes
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
15 Mar 2021
15 Mar 2021
Historique:
received:
06
08
2020
revised:
13
11
2020
accepted:
16
11
2020
pubmed:
18
12
2020
medline:
18
12
2020
entrez:
17
12
2020
Statut:
ppublish
Résumé
Environmental issues triggered by increasing nitrate in agricultural river has become global concern. Identifying nitrate sources and transformation are crucial for water sources protection and eliminating nitrate contamination in an agricultural watershed. In this study, chemical and dual isotopic compositions of nitrate were employed to trace the nitrate sources and transformation processes, and proportional contribution of NO
Identifiants
pubmed: 33333400
pii: S0048-9697(20)37469-6
doi: 10.1016/j.scitotenv.2020.143938
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
143938Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.