Institute of Energy and Environmental Protection, Chinese Academy of Agricultural Engineering Planning & Design, Beijing 100125, China.
Environ Sci Process Impacts. 2019 Mar 20;21(3):575-583. doi: 10.1039/c8em00424b.
The considerable spatial and temporal variabilities of nitrogen (N) processing introduce large uncertainties for quantifying N cycles on a large scale, particularly in plain river network regions with complicated hydrographic connections and mixed multiple N sources. In this paper, the dual isotopes δ15N and δ18O and dissolved anions in regularly collected samples (n = 10) from the studied river, which is one of the most seriously polluted rivers in the plain river network regions of the Taihu Lake catchment, were analyzed to ascertain the main nitrate (NO3-) sources and watershed N processing in the context of monsoon climate. The seasonal variations in precipitation, temperature, and hydrology play key roles in the regulation of the river NO3- concentration, NO3- sources, and watershed N processing. Nitrification of N-containing materials in the soil was possibly the major source of NO3- all year round, especially in the rainy season, whereas manure and sewage significantly contributed to the NO3- load in the Taige River in the dry season. Nitrification and denitrification processes within the area were closely related. The significant negative relationship between the water temperature and δ18O-NO3- values indicated the occurrence of nitrification in the soil throughout the year. By contrast, seasonal variations of denitrification were apparent from May to July with the high soil temperature and moisture, thereby indicating the occurrence of denitrification (22.9%) within the watershed. After the assessment of temporal variations of NO3- sources and watershed N processing, improved environmental management practices can be implemented to protect water resources and prevent further water quality deterioration in human-impacted watersheds.
氮(N)处理在很大程度上存在空间和时间上的可变性,这给大规模量化 N 循环带来了很大的不确定性,特别是在具有复杂水文联系和混合多种 N 源的平原河网地区。本文以太湖流域平原河网区污染最严重的河流之一的泰格河为例,分析了定期采集的(n = 10)样品中的双同位素 δ15N 和 δ18O 以及溶解阴离子,以确定季风气候条件下主要硝酸盐(NO3-)来源和流域 N 处理。降水、温度和水文的季节性变化对河流 NO3-浓度、NO3-来源和流域 N 处理的调节起着关键作用。土壤中含氮物质的硝化作用可能是全年 NO3-的主要来源,尤其是在雨季,而粪肥和污水在旱季对泰格河的 NO3-负荷有显著贡献。该地区的硝化和反硝化过程密切相关。水温和 δ18O-NO3-值之间的显著负相关表明全年土壤中都发生了硝化作用。相比之下,5 月至 7 月由于土壤温度和湿度较高,反硝化作用的季节性变化明显,表明流域内发生了反硝化作用(22.9%)。在评估 NO3-来源和流域 N 处理的时间变化后,可以实施改进的环境管理实践,以保护水资源并防止受人类影响的流域水质进一步恶化。