Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

Xue, Dongmei; Baets, Bernard De; Cleemput, Oswald Van; Hennessy, Carmel; Berglund, Michael; Boeckx, Pascal

doi:10.1016/j.envpol.2011.09.033

Cited by 239 publications

(93 citation statements)

References 23 publications

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“…The updated δ 15 N-NO 3 − (4.0-19.0 ‰) and δ 18 O-NO 3 − (3.5-16.8 ‰) value ranges indicated for sewage were concluded by Xue et al (2009). They were recently referred by most field studies worldwide related to NO 3 − source identification (Nestler et al 2011), including the field studies in America (Kaushal et al 2011), Belgium (Xue et al 2012;Xue et al 2013), and China (Cao et al 2012;Chen et al 2012;Liu et al 2013;Yue et al 2013;Ren et al 2014). However, the data of NO 3 − isotope could vary considerably depending on the local sewage treatment process, especially with regard to the degree of nitrification and denitrification (Anisfeld et al 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Sources of N pollution in urban surface and groundwater should be identified before an efficient remediation measure is devised (Xu et al 2016), and sewage is supported as the typical urban N source (Yue et al 2010;Xue et al 2012;Ren et al 2014;Zhang et al 2015b). Nitrate (NO 3 − ) is the main form of N embedded in the discharged effluents in Chinese cities.…”

Section: Introductionmentioning

confidence: 99%

“…Nitrate (NO 3 − ) is the main form of N embedded in the discharged effluents in Chinese cities. To quantify regional N pollution, the dual isotope approach (δ 15 N-NO 3 − and δ 18 O-NO 3 − ) was used for accurate source apportionment over the past decades, since different NO 3 − sources (fertilizer, manure, soil N leaching, and atmospheric N deposition) own distinct isotope ratios of nitrogen ( 15 N/ 14 N) and oxygen ( 18 O/ 16 O), which could be clearly identified using isotopic fingerprints (Xue et al 2012). Particularly, this method was well suited for further investigations on NO 3 − sources in urban environments (Silva et al 2002).…”

Section: Introductionmentioning

confidence: 99%

“…In the same sampling site, Zhao et al (2016) (42.7-67.0 %) in dry seasons, which might present to be more specific and practical. As with the stable isotope analysis in R language (SIAR) model, which was supposed to produce more precise results about NO 3 − source contributions, its outputs could be further improved by using more narrow ranges of NO 3 − sources provided by original source material (Xue et al 2012). Ding et al (2014) and Zhang et al (2015b) (Xing and Liu 2016;Xu et al 2016).…”

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confidence: 99%

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Variation in nitrate isotopic signatures in sewage for source apportionment with urbanization: a case study in Beijing, China

Xian

Ouyang

et al. 2016

Environ Sci Pollut Res

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O from 1.6 to 13.2 ‰ in treated effluents. The WWTP processing would result in the enrichment of NO 3 − isotopic compositions in discharged effluents with NO 3 − concentrations increasing. Besides, advanced sewage treatment technology with more pollutant N reduction may raise the heavier NO 3 − isotopic compositions further.The NO 3 − isotope value ranges of urban sewage and manure should be separated, and the seasonal and tighter NO 3 − isotope value ranges are supposed to improve the accuracy of source apportionment. The NO 3 − isotope value ranges conducted in this study might provide useful information for tracing NO 3 − sources towards the implementation of efficient water pollution control in Beijing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Variation in nitrate isotopic signatures in sewage for source apportionment with urbanization: a case study in Beijing, China

Xian

Ouyang

et al. 2016

Environ Sci Pollut Res

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“…The SIAR model uses a Bayesian framework to determine the possible proportional source contribution and the distribution of each source's contribution to the mixture [28], [29] 3 -sources in agriculture affected surface water. The output showed that the biggest and the least contributors were "manure and sewage" and "NO 3 -in precipitation" respectively [30]. Marion et al estimated the inputs of two nitrate sources (sewage and atmospheric deposition) concentrated in urban watersheds with SIAR model.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Proportional Contributions of Multiple Nitrate Sources in Shallow Groundwater with a Bayesian Isotope Mixing Model

Xu¹,

Cai²,

Tan³

et al. 2016

IJESD

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Abstract-In-sources to groundwater. And the outputs of SIAR model showed some variability in the contribution of each NO 3 -source. "Soil" contributed the most (between 21% and 70%), followed by "NF" (between15% and 45%), "M&S" (between 4% and 39%), "NP" (between 0% and 20%). The SIAR model showed be considered as a reliable approach to quantify the proportional contributions of multiple NO 3 -sources in the mixture.Index Terms-Dual stable isotopes, shallow groundwater, proportional contributions of NO 3 -sources, SIAR model.

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Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers

Ransom

Grote

Deinhart

et al. 2016

Water Resources Research

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Groundwater quality is a concern in alluvial aquifers that underlie agricultural areas, such as in the San Joaquin Valley of California. Shallow domestic wells (less than 150 m deep) in agricultural areas are often contaminated by nitrate. Agricultural and rural nitrate sources include dairy manure, synthetic fertilizers, and septic waste. Knowledge of the relative proportion that each of these sources contributes to nitrate concentration in individual wells can aid future regulatory and land management decisions. We show that nitrogen and oxygen isotopes of nitrate, boron isotopes, and iodine concentrations are a useful, novel combination of groundwater tracers to differentiate between manure, fertilizers, septic waste, and natural sources of nitrate. Furthermore, in this work, we develop a new Bayesian mixing model in which these isotopic and elemental tracers were used to estimate the probability distribution of the fractional contributions of manure, fertilizers, septic waste, and natural sources to the nitrate concentration found in an individual well. The approach was applied to 56 nitrate-impacted private domestic wells located in the San Joaquin Valley. Model analysis found that some domestic wells were clearly dominated by the manure source and suggests evidence for majority contributions from either the septic or fertilizer source for other wells. But, predictions of fractional contributions for septic and fertilizer sources were often of similar magnitude, perhaps because modeled uncertainty about the fraction of each was large. For validation of the Bayesian model, fractional estimates were compared to surrounding land use and estimated source contributions were broadly consistent with nearby land use types.

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Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

Cited by 239 publications

References 23 publications

Variation in nitrate isotopic signatures in sewage for source apportionment with urbanization: a case study in Beijing, China

Variation in nitrate isotopic signatures in sewage for source apportionment with urbanization: a case study in Beijing, China

Estimating the Proportional Contributions of Multiple Nitrate Sources in Shallow Groundwater with a Bayesian Isotope Mixing Model

Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers

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