Determining Nitrate Pollution Sources in the Kabul Plain Aquifer (Afghanistan) Using Stable Isotopes and Bayesian Stable Isotope Mixing Model

2021 ◽  
Author(s):  
Abdulhalim Zaryab ◽  
Hamid Reza Nassery ◽  
Kay Knoeller ◽  
Farshad Alijani ◽  
Eddy Minet
Keyword(s):  
Stable Isotopes ◽  
Stable Isotope ◽  
Nitrate Pollution ◽  
Mixing Model ◽  
Pollution Sources ◽  
Stable Isotope Mixing Model

scholarly journals Selecting the best stable isotope mixing model to estimate grizzly bear diets in the Greater Yellowstone Ecosystem

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0174903 ◽  
Author(s):  
John B. Hopkins ◽  
Jake M. Ferguson ◽  
Daniel B. Tyers ◽  
Carolyn M. Kurle
Keyword(s):  
Stable Isotope ◽  
Mixing Model ◽  
Greater Yellowstone Ecosystem ◽  
Grizzly Bear ◽  
Greater Yellowstone ◽  
Stable Isotope Mixing Model

scholarly journals Evaluation of nitrate pollution sources in surface water across the typical rural-urban interface: a case study of Wen-Rui Tang River, China

2021 ◽  
Author(s):  
Xiaoliang Ji ◽  
Xu Shang ◽  
Lielin Shu ◽  
Kun Mei ◽  
Zheng Chen ◽  
...  
Keyword(s):  
Land Use ◽  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Surface Water ◽  
Nitrate Pollution ◽  
Mixing Model ◽  
Pollution Sources ◽  
Municipal Sewage

Abstract Nitrate (NO 3 − ) pollution is of considerable concern because its threat to human health and ecosystems. Herein, we chose the Wen-Rui Tang River watershed, one of typical rural-urban watersheds in Southeast China, as a case study. According to the analyses based on hydro-chemical ions, land-use classification, dual nitrate isotopes ( δ 15 N-NO 3 − and δ 18 O-NO 3 − ), and a Markov Chain Monte Carlo mixing model, the knowledge of contributions of potential NO 3 − pollution sources was obtained. Results showed that the study river was highly polluted by nitrogen, especially the increased riverine NO 3 − . Variations in δ 15 N-NO 3 − and δ 18 O-NO 3 − revealed that microbial nitrification was the main transformation process of nitrogen in surface water of the watershed, while bacterial denitrification was unlikely to be an important process at the specific sampling period. The δ 15 N-NO 3 − vs. δ 18 O-NO 3 − diagram incorporating chloride content qualitatively identified the main contribution of riverine NO 3 − was from municipal sewage discharges. On the basis of land-use characteristics, we applied hierarchical cluster method for subgrouping 44 sampling sites into four classes, namely, classes I (ecological), II (industrial), III (agricultural), and IV (urban). The Markov Chain Monte Carlo mixing model was employed to calculate proportional contributions of NO 3 − sources and articulated predominantly municipal sewage (23.5 – 42.2%) sourced nitrate in all classes. In addition, river sediments (13.8 – 20.8%) and atmospheric deposition (12.7 – 19.6%) were identified as important pollution sources. This study demonstrated that the comprehensive isotope tracing approach can effectively quantify the nitrate pollution source contributions for surface waters across the rural-urban interface.

scholarly journals Use of isotopic tungsten tracers and a stable-isotope-mixing model to characterize divertor source location in the DIII-D metal rings campaign

2019 ◽  
Vol 19 ◽  
pp. 358-363 ◽  
Author(s):  
E.A. Unterberg ◽  
D.C. Donovan ◽  
J.D. Duran ◽  
P.C. Stangeby ◽  
S. Zamperini ◽  
...  
Keyword(s):  
Stable Isotope ◽  
Source Location ◽  
Mixing Model ◽  
Metal Rings ◽  
Stable Isotope Mixing Model

scholarly journals Estimation of nitrate pollution sources and transformations in groundwater of an intensive livestock-agricultural area (Comarca Lagunera), combining major ions, stable isotopes and MixSIAR model

2021 ◽  
Vol 269 ◽  
pp. 115445
Author(s):  
Juan Antonio Torres-Martínez ◽  
Abrahan Mora ◽  
Jürgen Mahlknecht ◽  
Luis W. Daesslé ◽  
Pabel A. Cervantes-Avilés ◽  
...  
Keyword(s):  
Stable Isotopes ◽  
Major Ions ◽  
Nitrate Pollution ◽  
Pollution Sources ◽  
Agricultural Area
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