Evaluation of concentration-discharge dynamics and nitrogen export on anthropogenic inputs and stormflow across alternative time-scales

文献类型： 外文期刊

第一作者： Li, Wenchao

作者： Li, Wenchao;Liu, Hongbin;Zhai, Limei;Lei, Qiuliang;Guo, Shufang;Li, Wenchao;Yen, Haw;Hu, Wanli;Stewart, Robert J.;Ren, Tianzhi

作者机构：

关键词： Nonpoint source pollution; Concentration-discharge; Stormflow; Agricultural influence; Watershed nitrogen export; Time scales

期刊名称：ECOLOGICAL INDICATORS （ 影响因子：4.958； 五年影响因子：5.846 ）

ISSN： 1470-160X

年卷期： 2019 年 98 卷

页码：

收录情况： SCI

摘要： Impacts of agricultural activities and hydrologic variables on nitrogen (N) loads have been investigated previously, but interactions among these factors are still poorly addressed across alternative time-scales. The concentration-discharge (C-Q) dynamics at short time-scales could be useful to disentangle the impacts of agricultural activities because it can provide more information about the interaction between N export and input. In this study, total dissolved N (TDN) concentrations/fluxes-discharge dynamics across different time scales (annual, daily and hourly) were used to investigate the potential influences of agricultural activities and the interaction with hydrologic variables. At the long-term scale, streamflow and instream TDN concentrations exhibited the same inter-annual variations. At daily scale, higher temporal variations of streamflow (compared to instream TDN concentrations) occurred during stormflow-dominated periods. It highlighted the importance that stormflow may have substantial impact over N concentration changes over time. At the smaller time scale, direct influence of fertilizer application on watershed N export was unraveled by the difference in stream TDN concentrations and export fluxes between the early growing period (with more fertilizer application) and the later period (with less). In addition, the differences may increase with increasing flow conditions, which indicated that the impact of agricultural activities could be affected by hydrologic variables. These findings provide important information for improved best management practices (BMPs) to reduce N pollution from nonpoint sources (NPS).

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序