Jin Zan-Fang, Zhang Wen-Liao, Zheng Qi, Zhu Chen-Yang, Li Fei-Li
College of Environment, Zhejiang University of Technology, Hangzhou 310032, China.
Huan Jing Ke Xue. 2018 May 8;39(5):2039-2047. doi: 10.13227/j.hjkx.201709191.
It is very important to identify nitrate sources in reservoirs that serve as high quality water sources to control its eutrophication. Stable isotopes (δ N and δO) and a Bayesian model (stable isotope analysis in R, SIAR) were applied to identify nitrate sources and estimate the proportional contributions of multiple nitrate sources in four reservoirs (Qingshan reservoir, Duihekou reservoir, Siling reservoir, and Lifan reservoir) that serve as sources of drinking water in the Hangjiahu area, one of the most densely populated and most quickly developing areas in East China. It was shown that nitrogen pollution, which was dominated by nitrate (NO), existed in the four reservoirs. Greater human activities caused more nitrogen pollution (average NO concentration 0.21 mmol ·L) in the Qingshan reservoir. A significant positive correlation (<0.01) was observed between Cl and NO. The analysis of the water in the Duihekou reservoir, Siling reservoir, and Lifan reservoir, with lower Cl concentrations and higher NO/Cl ratios, suggested that chemical fertilizer was the main source, while the analysis of the water in the Qingshan reservoir, with medium Cl concentrations and NO/Cl ratios, indicated a mixture of NO sources. The δ N ranged from 0.9‰ to 7.2‰, and the δO ranged from 2.8‰ to 14.1‰ in the four reservoirs. The δO values in more than 86% of the water samples were less than 10‰, and the δ N/δO values in 93% of the water samples were less than 1.3. It was identified that nitrification rather than denitrification acted as the primary N cycling process in the four reservoirs. SIAR was used to estimate the proportional contribution of five NO sources (industrial wastewater, sewage/manure, chemical fertilizer, soil nitrogen, and precipitation) in the Qingshan reservoir and of three NO sources (chemical fertilizer, soil nitrogen, and precipitation) in the Duihekou reservoir, Siling reservoir, and Lifan reservoir. The source apportionment results showed that chemical fertilizers and soil nitrogen were the dominant nitrate sources and their contributions were 75%-82%. It was revealed that nitrogen pollution in the water source reservoir caused by cropping non-point source pollution was very serious. Nitrate source contributions in Qingshan reservoir also included sewage/manure (25%), soil nitrogen (7%), and precipitation (6%), indicating that nitrogen pollution by sewage/manure should not be ignored in the higher human activity areas. The nitrate source in the Duihekou reservoir, Siling reservoir, and Lifan reservoir also included precipitation, with the nitrate contribution from precipitation at 21%, 24%, and 15%, respectively. It was suggested that precipitation contributed more nitrate to the water in areas with less human activity.
对于作为优质水源的水库而言,识别硝酸盐来源对于控制其富营养化非常重要。利用稳定同位素(δN和δO)以及贝叶斯模型(R语言中的稳定同位素分析,SIAR)来识别硝酸盐来源,并估算了杭嘉湖地区四个作为饮用水源的水库(青山水库、对河口水库、四岭水库和里畈水库)中多种硝酸盐来源的比例贡献。杭嘉湖地区是中国东部人口最密集、发展最快的地区之一。结果表明,四个水库中存在以硝酸盐(NO)为主的氮污染。青山水库由于人类活动较多,导致氮污染更严重(平均NO浓度0.21 mmol·L)。Cl与NO之间存在显著正相关(<0.01)。对河口水库、四岭水库和里畈水库的水体分析显示,Cl浓度较低且NO/Cl比值较高,表明化肥是主要来源;而青山水库水体中Cl浓度和NO/Cl比值处于中等水平,表明是多种NO来源的混合。四个水库中δN范围为0.9‰至7.2‰,δO范围为2.8‰至14.1‰。超过86%的水样中δO值小于10‰,93%的水样中δN/δO值小于1.3。研究确定,硝化作用而非反硝化作用是四个水库中主要的氮循环过程。SIAR用于估算青山水库中五种NO来源(工业废水、污水/粪便、化肥、土壤氮和降水)以及对河口水库、四岭水库和里畈水库中三种NO来源(化肥、土壤氮和降水)的比例贡献。源解析结果表明,化肥和土壤氮是主要的硝酸盐来源,其贡献为75%-82%。研究发现,种植面源污染导致的水源地水库氮污染非常严重。青山水库中硝酸盐来源贡献还包括污水/粪便(25%)、土壤氮(7%)和降水(6%),这表明在人类活动较多的地区,污水/粪便造成的氮污染不容忽视。对河口水库、四岭水库和里畈水库的硝酸盐来源还包括降水,降水对硝酸盐的贡献分别为21%、24%和15%。研究表明,在人类活动较少的地区,降水对水体中硝酸盐的贡献更大。