Wu Wei, Dong Yuhe, Li Chen, Chen Hang, Ren Lei, Xu Sheng
State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, Shaanxi, China.
PLoS One. 2025 Jun 16;20(6):e0326038. doi: 10.1371/journal.pone.0326038. eCollection 2025.
Studying the biogeochemical cycle of biogenic nitrogen and its influence on hydrological processes and anthropogenic nitrogen input is of great significance for water resource management and the maintenance of aquatic ecosystems in ecologically sensitive areas. Currently, there is a limited understanding of the sources contributing to nitrate levels during thermal stratification in deep and large reservoirs, as well as the transformation processes of nitrate under varying hydrological conditions. This study collected water samples from the Longyangxia Reservoir, located in the upper reaches of the Yellow River, during January and April of 2024. Utilizing hydrogeochemical analysis, multivariate stable isotope technology, the Bayesian isotope mixing model, and multivariate statistical analysis, we analyzed the vertical distribution characteristics of nitrogen in the reservoir across different periods. The transformations and sources of nitrogen were identified, and the contribution rates of each nitrogen source were estimated. The results indicate that January serves as the mixing period for the Longyangxia Reservoir, during which the differences in nitrogen concentration among the vertical water layers are relatively minimal. The concentration ranges for nitrate (NO₃⁻), dissolved organic nitrogen (DON), and ammonium (NH₄⁺) were observed to be 0.598-0.647 mg/L, 0.124-0.397 mg/L, and 0.015-0.157 mg/L, respectively. Beginning in April, the reservoir enters the thermal stratification period, characterized by higher concentrations of various nitrogen forms compared to the mixing period. During the stratification period, the concentration of various nitrogen forms within the vertical profile of the reservoir demonstrates a characteristic distribution of being low in the upper section, maximum values of total nitrogen (TN) and dissolved DON in the middle section, and maximum concentrations of NO₃⁻ and NH₄⁺ in the bottom section. Nitrate nitrogen and dissolved organic nitrogen are the primary forms of nitrogen present in the Longyangxia Reservoir, constituting 66.71% and 25.83% of the total dissolved nitrogen in January, and 62.39% and 21.59% in April, respectively. During the sampling period at Longyangxia Reservoir, the δ15N-NO3- values in the water ranged from 5.58 ‰ to 7.38 ‰, while the δ18O-NO3- values varied from -5.87 ‰ to 2.58 ‰. Nitrification is identified as the primary nitrogen conversion process occurring in the reservoir water. Under aerobic conditions, denitrification does not occur in aquatic environments. The dynamics of nitrate in the bottom layer are influenced by nitrification processes and the release of nitrogen from sediment. Soil organic nitrogen is the primary source of nitrate in Longyangxia water, contributing 42.1% and 51.8% during the sampling period, respectively. This study introduced sediment as an additional end member, highlighting that the contribution of sediment to nitrate in water is significant, accounting for 24% and 14.1%, respectively. This study offers valuable insights for precise nitrogen management and control in deep reservoirs by tracking nitrate sources and quantifying their contributions.
研究生物源氮的生物地球化学循环及其对水文过程的影响以及人为氮输入,对于生态敏感地区的水资源管理和水生生态系统的维护具有重要意义。目前,对于深层大型水库热分层期间硝酸盐水平的来源以及不同水文条件下硝酸盐的转化过程了解有限。本研究于2024年1月和4月从位于黄河上游的龙羊峡水库采集水样。利用水文地球化学分析、多元稳定同位素技术、贝叶斯同位素混合模型和多元统计分析,我们分析了水库不同时期氮的垂直分布特征。确定了氮的转化和来源,并估算了各氮源的贡献率。结果表明,1月是龙羊峡水库的混合期,在此期间垂直水层间的氮浓度差异相对较小。观察到硝酸盐(NO₃⁻)、溶解有机氮(DON)和铵(NH₄⁺)的浓度范围分别为0.598 - 0.647 mg/L、0.124 - 0.397 mg/L和0.015 - 0.157 mg/L。从4月开始,水库进入热分层期,其特征是与混合期相比各种氮形态的浓度更高。在分层期,水库垂直剖面内各种氮形态的浓度呈现出上层低、中层总氮(TN)和溶解DON最大值、底层NO₃⁻和NH₄⁺最大浓度的特征分布。硝酸盐氮和溶解有机氮是龙羊峡水库中氮的主要形态,1月分别占总溶解氮的66.71%和25.83%,4月分别占62.39%和21.59%。在龙羊峡水库采样期间,水中δ15N - NO3 - 值范围为5.58‰至7.38‰,而δ18O - NO3 - 值在 - 5.87‰至2.58‰之间变化。硝化作用被确定为水库水体中发生的主要氮转化过程。在有氧条件下,水生环境中不会发生反硝化作用。底层硝酸盐的动态受硝化过程和沉积物中氮释放影响。土壤有机氮是龙羊峡水体中硝酸盐的主要来源,采样期间分别贡献42.1%和51.8%。本研究引入沉积物作为额外的端元,强调沉积物对水中硝酸盐的贡献显著,分别占24%和14.1%。本研究通过追踪硝酸盐来源并量化其贡献,为深层水库的精确氮管理和控制提供了有价值的见解。