Quantifying nitrate sources in a large reservoir for drinking water by using stable isotopes and a Bayesian isotope mixing model

Jin, Zanfang; Cen, Jie; Hu, Yuming; Li, Linjun; Shi, Yasheng; Fu, Guowei; Li, Feili

doi:10.1007/s11356-019-05296-7

Cited by 25 publications

(14 citation statements)

References 48 publications

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“…The previous, geographically similar, measures of precipitation values, which are influenced by complex atmospheric processes including nitrate formation during thunderstorms and various photochemical reactions (Kendall, 1998;Xue et al, 2009), ranged from −4.7 to −2.1 and 36.6 to 44.9‰ for δ 15 N-NO 3 and δ 18 O-NO 3 , respectively, during the monsoon season of 2014 (Sanchez et al, 2017). These values are comparable to measured values in precipitation from other areas, where δ 15 N-NO 3 and δ 18 O-NO 3 values ranged from −15 to +15‰ (Kendall, 1998;Jin et al, 2019) and from +25 to +75‰ (Voerkelius and Schmidt, 1990;Durka et al, 1994;Kendall, 1998;Jin et al, 2019), respectively. Additionally, Kendall (1998) reported an average value for δ 18 O-NO 3 in precipitation of 43.6 ± 14.6‰ (n = 232).…”

Section: Solute Concentrations and Isotopic Analysissupporting

confidence: 62%

Linking Hydrobiogeochemical Processes and Management Techniques to Close Nutrient Loops in an Arid River

et al. 2020

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In this study, we explored opportunities to optimize food-energy-water (FEW) resources by closing nutrient loops in aridland rivers. We evaluated source and sink behavior of nitrogen as nitrate (NO 3-N) in three connected channels associated with an irrigation network, i.e., man-made delivery and drain canals, and the main stem of the Rio Grande river near Albuquerque, New Mexico, USA. All three channels are located downstream of a large wastewater treatment plant that is the main contributor of nutrients to this reach of the Rio Grande. We used a mass balance approach paired with stable isotope analysis to link sources and processing of NO 3-N with reaction pathways within the channels over time (a year) and through space (along ∼14-53 km reaches). Results indicated that the growing season was an important period of net sink behavior for the delivery channel and the Rio Grande, but the drain channel was a year-round net source. Stable isotope analyses of 15 N and 18 O found a distinct nitrate signature in the drain associated with biological processing, as well as sites along the Rio Grande impacted by agricultural outflow, but no equivalent signature was present in the delivery channel. Based on our findings, we provide recommendations to help close nutrient loops in our study system and in analogous aridland irrigation networks by (1) minimizing loss during the transfer of nutrients from wastewater facilities to agricultural areas, and (2) minimizing enrichment to downstream aquatic ecosystems by sequestering nutrients that would otherwise escape the nutrient loop.

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Section: Solute Concentrations and Isotopic Analysissupporting

confidence: 62%

Linking Hydrobiogeochemical Processes and Management Techniques to Close Nutrient Loops in an Arid River

et al. 2020

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“…Stable hydrogen and oxygen isotopes of water (δD/δ 18 O-H 2 O) in precipitation and river water are widely used for hydrological tracing because they provide climatic and environmental information (Hu et al, 2019;Wallace et al, 2021;Wassenaar et al, 2011) (Jin et al, 2019;Hu et al 2020). Herein, a plot of the measured δD-H 2 O vs. δ 18 O-H 2 O for river water (n = 51) and LMWL was employed to assess water source dynamics in the Wen-Rui Tang River watershed.…”

Section: River Water Sourcesmentioning

confidence: 99%

Tracing nitrate sources and transformations using △17O, δ15N, and δ18O-NO3− in a coastal plain river network of eastern China

Shu

Zhao

et al. 2022

Journal of Hydrology

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“…This uncertainty is usually reported as a confidence interval of the contributing fractions. These models have already been adopted for defining water, dust, organic matter, or aerosol origins [8][9][10] and are also commonly used for the partitioning of nitrate sources in groundwaters [11][12][13] or surface waters [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…For example, nitrates may undergo intensive denitrification processes, which can significantly alter their final isotopic signatures [17][18][19]. Therefore, the application of a simple mixing model neglecting possible further isotopic fractionation of the final product may result in a bias in the model outputs [11,[13][14][15][16]20]. Some studies applying the nitrate mixing model manage to partially include denitrification fractionation in the model as a parameter added to the source isotopic signatures but without taking into account the fractionation progress [12].…”

Section: Introductionmentioning

confidence: 99%

“…N 2 O is a very unique compound that can be analysed to obtain three different stable isotope signatures: δ 15 N, δ 18 O and SP (site preference). SP provides additional information reflecting the 15 N enrichment in the central N position of the linear N 2 O molecule in relation to the external N atom. Consequently, three isotope values can be applied to determine the contribution of main N 2 O production pathways and the progress of N 2 O reduction.…”

Section: Introductionmentioning

confidence: 99%

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FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation

2022

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Bayesian stable isotope mixing models are widely used in geochemical and ecological studies for partitioning sources that contribute to various mixtures. However, none of the existing tools allows accounting for the influence of processes other than mixing, especially stable isotope fractionation. Bridging this gap, new software for the stable isotope Fractionation And Mixing Evaluation (FRAME) has been developed with a user-friendly graphical interface (malewick.github.io/frame). This calculation tool allows simultaneous sources partitioning and fractionation progress determination based on the stable isotope composition of sources/substrates and mixture/products. The mathematical algorithm applies the Markov-Chain Monte Carlo model to estimate the contribution of individual sources and processes, as well as the probability distributions of the calculated results. The performance of FRAME was comprehensively tested and practical applications of this modelling tool are presented with simple theoretical examples and stable isotope case studies for nitrates, nitrites, water and nitrous oxide. The open mathematical design, featuring custom distributions of source isotope signatures, allows for the implementation of additional processes that alternate the characteristics of the final mixture and its application for various range of studies.

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Quantifying nitrate sources in a large reservoir for drinking water by using stable isotopes and a Bayesian isotope mixing model

Cited by 25 publications

References 48 publications

Linking Hydrobiogeochemical Processes and Management Techniques to Close Nutrient Loops in an Arid River

Linking Hydrobiogeochemical Processes and Management Techniques to Close Nutrient Loops in an Arid River

Tracing nitrate sources and transformations using △17O, δ15N, and δ18O-NO3− in a coastal plain river network of eastern China

FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation

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