Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water
| Autor: | Carmel Hennessy, Pascal Boeckx, Oswald Van Cleemput, Dongmei Xue, Bernard De Baets, Michael Berglund |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Nitrates
Stable isotope ratio Health Toxicology and Mutagenesis Bayes Theorem Fresh Water Soil science General Medicine engineering.material Toxicology Pollution Manure chemistry.chemical_compound Models Chemical Nitrate chemistry Environmental chemistry Soil water engineering Environmental science Fertilizer Precipitation Surface water Water Pollutants Chemical Water use Environmental Monitoring |
| Zdroj: | Environmental Pollution. 161:43-49 |
| ISSN: | 0269-7491 |
| Popis: | To identify different NO(3)(-) sources in surface water and to estimate their proportional contribution to the nitrate mixture in surface water, a dual isotope and a Bayesian isotope mixing model have been applied for six different surface waters affected by agriculture, greenhouses in an agricultural area, and households. Annual mean δ(15)N-NO(3)(-) were between 8.0 and 19.4‰, while annual mean δ(18)O-NO(3)(-) were given by 4.5-30.7‰. SIAR was used to estimate the proportional contribution of five potential NO(3)(-) sources (NO(3)(-) in precipitation, NO(3)(-) fertilizer, NH(4)(+) in fertilizer and rain, soil N, and manure and sewage). SIAR showed that "manure and sewage" contributed highest, "soil N", "NO(3)(-) fertilizer" and "NH(4)(+) in fertilizer and rain" contributed middle, and "NO(3)(-) in precipitation" contributed least. The SIAR output can be considered as a "fingerprint" for the NO(3)(-) source contributions. However, the wide range of isotope values observed in surface water and of the NO(3)(-) sources limit its applicability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect