Using dual isotopes to identify sources and transformations of nitrogen in water catchments with different land uses, Loess Plateau of China
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- 作者：Meng Xing ; Weiguo Liu
- 关键词：Nitrate ; Dual isotopes ; Land use ; Catchments ; Loess Plateau
- 刊名：Environmental Science and Pollution Research
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：23
- 期：1
- 页码：388-401
- 全文大小：1,138 KB
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Weiguo Liu (1) (2)
1. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, 710075, China
2. School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an, 710049, China - 刊物类别：Earth and Environmental Science
- 刊物主题：Environment
Environment
Atmospheric Protection, Air Quality Control and Air Pollution
Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
Industrial Pollution Prevention - 出版者：Springer Berlin / Heidelberg
- ISSN：1614-7499
文摘
Nitrogen pollution in rivers is a research hotspot in the field of biogeochemistry. However, the types and sources of pollution have historically been poorly understood in the water catchments of the Loess Plateau in China. In this study, we have chosen the main waterway and four lesser branches of the Jinghe River that vary by land use. We investigated the concentrations and isotopic signatures of nitrogen in river water. Our results revealed that nitrate was the dominant nitrogen type in river catchments of the Loess Plateau. The δ15N and δ18O values showed that NO3 − ions in the studied river samples were derived from precipitation, manure, sewage, soil organic nitrogen, and synthetic NO3 − fertilizer. The δ18O-NO3 − values during July 2012 (mean ± SD = +18.1 ± 1.5 ‰) were higher than those during the September 2013 (mean ± SD = +7.8 ± 3.7 ‰), which indicated that mixing with atmospheric NO3 − resulted in the high δ18O values during July 2012. It appears that no intense nitrification and denitrification occurred in all five rivers according to the isotopic and chemical data. A Bayesian model was used to determine the contributions of four NO3 − sources to all five rivers. Results showed that source contributions differ significantly between July and September, and the four potential NO3 − sources also showed high variability between the different land use areas.