Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model

Chemosphere ◽  
2018 ◽  
Vol 208 ◽  
pp. 493-501 ◽  
Author(s):  
Yan Zhang ◽  
Peng Shi ◽  
Fadong Li ◽  
Anlei Wei ◽  
Jinxi Song ◽  
...  
2021 ◽  
Vol 778 ◽  
pp. 146297
Author(s):  
Yasheng Shi ◽  
Cai Li ◽  
Zanfang Jin ◽  
Yongqi Zhang ◽  
Jiazheng Xiao ◽  
...  

2012 ◽  
Vol 161 ◽  
pp. 43-49 ◽  
Author(s):  
Dongmei Xue ◽  
Bernard De Baets ◽  
Oswald Van Cleemput ◽  
Carmel Hennessy ◽  
Michael Berglund ◽  
...  

2020 ◽  
Author(s):  
Juan Antonio Torres-Martinez ◽  
Abrahan Mora ◽  
Peter S.K. Knappett ◽  
Nancy Ornelas-Soto ◽  
Jürgen Mahlknecht

<p>Groundwater quality deterioration by nitrate pollution due to the intensive use of fertilizers in agriculture, release of untreated urban sewage and industrial wastewater, and atmospheric deposition is a worldwide concern. The urbanized and industrialized Monterrey valley has a long record of elevated nitrate concentrations in groundwater with multiple potential pollution sources. This study aimed to fingerprint different sources and transformation processes of nitrate pollution in Monterrey using a suite of chemical and isotopic tracers (δ<sup>2</sup>H-H<sub>2</sub>O, δ<sup>18</sup>O-H<sub>2</sub>O, δ<sup>15</sup>N-NO<sub>3</sub>, δ<sup>18</sup>O-NO<sub>3</sub>) combined with a Bayesian isotope mixing model. The results suggest that soil nitrogen and sewage were the most important nitrate sources. However, the concentrations of nitrate were controlled by denitrification processes in the transition and discharge zones. The approach followed in this study is useful for establishing effective pollution management strategies in contaminated aquifers.</p>


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