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Using Dual Isotopes of Nitrate to Identify the Source of Nitrogen Pollution in the Songhua River Basin, Northeast China
Content Provider | MDPI |
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Author | Ye, Kuangmin Meng, Fansheng Zhang, Lingsong Wang, Yeyao Xue, Hao Zhang, Daoping |
Copyright Year | 2021 |
Description | Nitrogen pollution is a severe problem in the Songhua River Basin (SHR) in China. Samples were collected from 36 sections of the SHR during the high, low, and flat seasons of the river, and the main sources of nitrogen in the water were qualitatively analyzed with isotope data for nitrogen and oxygen of nitrate. The contribution rates of each major pollution source were quantitatively analyzed using the Iso Source mass balance model. The results from these experiments indicate that the values for δ^{15}$N-NO_{3}$ and δ^{18}$O-NO_{3}$ in the flat flow season range from 1.52‰ to 14.55‰ and −14.26‰ to 2.03‰, respectively. The values for δ^{15}$N-NO_{3}$ and δ^{18}$O-NO_{3}$ in the low flow season range from 6.66‰ to 15.46‰ and −5.82‰ to 65.70‰, respectively. In the low flow season, nitrogen comes from the input of domestic and manure sewage (53%) and soil organic N (45%). The values of δ^{15}$N-NO_{3}$ and δ^{18}$O-NO_{3}$ in the high flow season range from 2.07‰ to 14.24‰ and −3.99‰ to 8.03‰, respectively. In the high flow season, nitrogen comes from soil organic nitrogen (41%), domestic and manure sewage (32%), and nitrogen fertilizer (27%), which are the main sources of nitrogen pollution in the SHR. The conclusions from the qualitative and quantitative analysis of nitrogen sources in the SHR can provide a scientific basis for the source control and treatment of nitrogen pollution. |
Starting Page | 2721 |
e-ISSN | 20734441 |
DOI | 10.3390/w13192721 |
Journal | Water |
Issue Number | 19 |
Volume Number | 13 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-10-01 |
Access Restriction | Open |
Subject Keyword | Water Water Science and Technology Nitrate Isotope Songhua River Basin (shr) Pollution Contribution Rate |
Content Type | Text |
Resource Type | Article |