Mu Jinglong, Ding Shuai, Liu Su Mei, Song Guodong, Ning Xiaoyan, Zhang Xiaotong, Xu Wenqi, Zhang Hongmei
Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education, Ocean University of China, Qingdao 266100, China.
Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education, Ocean University of China, Qingdao 266100, China; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Sci Total Environ. 2024 Mar 25;918:170625. doi: 10.1016/j.scitotenv.2024.170625. Epub 2024 Feb 5.
Intensive anthropogenic activities, such as excessive nitrogen input and dam construction, have altered the nitrogen cycle in the global river system. However, the focus on the source, transformation and fate of nitrogen in the Yellow River is still scarce. In this study, the multiple isotopes (δN-NO, δO-NO, δN-NH and δN-PN) were deciphered to explore the nitrogen cycling processes and the driving factors in the thermally stratified cascade reservoirs (Sanmenxia Reservoir: SMXR and Xiaolangdi Reservoir: XLDR) and Lower Yellow River (LYR) during the drainage period of the XLDR. In the SMXR, algal bloom triggered the assimilation process in the upper layer before the SMX Dam, followed by remineralization and subsequent nitrification processes in the lower water layers. The nitrification reaction in the XLDR progressively increased along both longitudinal and vertical directions to the lower layer of the XLD Dam, which was linked to the variation in the water residence time of riverine, transition and lentic zones. The robust nitrification rates in the lower layer of the lentic zone coincided with the substantial depletion of nitrate isotopic composition and enrichment of both δN-PN and δN-NH, indicating the longer water residence time not only promoted the growth of the nitrifying population but also facilitated the remineralization to enhance NH availability. In the LYR, the slight nitrate assimilation, as indicated by nitrate isotopic composition and fractionation models, was the predominant nitrogen transformation process. The Bayesian isotope mixing model results showed that manure and sewage was the dominant nitrate source (50 %) in the middle and lower Yellow River. Notably, the in-reservoir nitrification was a significant nitrate source (27 %) in the XLDR and LYR. Our study deepens the understanding of anthropogenic activities impacting the nitrogen cycle in the river-reservoir system, providing valuable insight into water quality management and nitrogen cycle mechanisms in the Yellow River.
过度的氮输入和大坝建设等强烈的人为活动已经改变了全球河流系统中的氮循环。然而,对黄河中氮的来源、转化和归宿的关注仍然很少。在本研究中,通过解析多种同位素(δN-NO、δO-NO、δN-NH和δN-PN),探讨了小浪底水库泄流期热分层梯级水库(三门峡水库:SMXR和小浪底水库:XLDR)及黄河下游(LYR)的氮循环过程及其驱动因素。在三门峡水库中,藻类水华在三门峡大坝前的上层引发了同化过程,随后在下层水体中发生了再矿化和硝化过程。小浪底水库中的硝化反应沿纵向和垂直方向向下层逐渐增强,直至小浪底大坝底部,这与河流、过渡和静水区域的水停留时间变化有关。静水区域下层强劲的硝化速率与硝酸盐同位素组成的大幅消耗以及δN-PN和δN-NH的富集相吻合,表明较长的水停留时间不仅促进了硝化菌群的生长,还促进了再矿化以提高铵的有效性。在黄河下游,硝酸盐同位素组成和分馏模型表明,轻微的硝酸盐同化是主要的氮转化过程。贝叶斯同位素混合模型结果表明,粪便和污水是黄河中下游硝酸盐的主要来源(50%)。值得注意的是,水库内的硝化作用是小浪底水库和黄河下游硝酸盐的重要来源(27%)。我们的研究加深了对影响河流水库系统氮循环的人为活动的理解,为黄河水质管理和氮循环机制提供了有价值的见解。