Xing Meng, Liu Weiguo
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710075, China.
School of Human Settlement and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Environ Sci Pollut Res Int. 2016 Jan;23(1):388-401. doi: 10.1007/s11356-015-5268-y. Epub 2015 Aug 27.
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 δ(15)N and δ(18)O values showed that NO3 (-) ions in the studied river samples were derived from precipitation, manure, sewage, soil organic nitrogen, and synthetic NO3 (-) fertilizer. The δ(18)O-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 δ(18)O 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.
河流中的氮污染是生物地球化学领域的一个研究热点。然而,中国黄土高原流域的污染类型和来源在历史上一直未得到充分了解。在本研究中,我们选取了泾河的主要河道及其四条较小支流,这些支流因土地利用方式而异。我们调查了河水中氮的浓度和同位素特征。我们的结果表明,硝酸盐是黄土高原河流集水区中主要的氮类型。δ(15)N和δ(18)O值表明,研究河流样本中的NO3(-)离子来源于降水、粪便、污水、土壤有机氮和合成NO3(-)肥料。2012年7月的δ(18)O-NO3(-)值(平均值±标准差=+18.1±1.5‰)高于2013年9月(平均值±标准差=+7.8±3.7‰),这表明与大气中的NO3(-)混合导致了2012年7月较高的δ(18)O值。根据同位素和化学数据,所有五条河流中似乎都没有发生强烈的硝化和反硝化作用。使用贝叶斯模型来确定四种NO3(-)来源对所有五条河流的贡献。结果表明,7月和9月的来源贡献差异显著,四种潜在的NO3(-)来源在不同土地利用区域之间也表现出高度变异性。