Effects of sampling strategies and estimation algorithms on total nitrogen load determination in a small agricultural headwater watershed

文献类型： 外文期刊

第一作者： Li, Ying

作者： Li, Ying;Lei, Qiuliang;Li, Wenchao;Lian, Huishu;Zhai, Limei;Wang, Hongyuan;Wu, Shuxia;Liu, Hongbin;Li, Xiaohong;Yen, Haw;Harmel, R. Daren;Zhou, Jiaogen;Hu, Wanli;Zhu, A-Xing;Zhu, A-Xing;Qiu, Weiwen;Luo, Jiafa

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关键词： Total N monitoring; Measurement uncertainty; Load estimation; Sampling frequency

期刊名称：JOURNAL OF HYDROLOGY （ 影响因子：5.722； 五年影响因子：6.033 ）

ISSN： 0022-1694

年卷期： 2019 年 579 卷

页码：

收录情况： SCI

摘要： Monitoring data collected from rivers are used to support assessments of the quality of the river environment and help decision makes formulate appropriate management plans. Therefore, accurate and precise estimates of constituent fluxes in streams and rivers are important. However, seasonal errors have not received enough attention and the published results have rarely been verified by other methods. In this study, the error associated with sampling frequencies (3 daily, weekly, 2 weekly, 4 weekly, 6 weekly, 8 weekly) and seven load estimation algorithms were examined. Seasonal and annual total N loads were estimated and wavelet coherence was used as a reference. In order to reduce the contingency of the results, three years data were used and total N (with 17.53% particulate N, 58.70% NO3-N and 23.77% other dissolved N fractions) was chosen to reflect water quality parameters. Results indicated that 2 weekly sampling frequency and algorithm F (linear interpolation) are sufficient for evaluating the characters of annual total N load in Fengyu River Watershed with 5% RMSE (root-mean-square error). There was a large RMSE (3.97-44.66%) in summer with a high CV (coefficient variation) (35.2%) for total N concentration. These results can serve as a useful reference for decision makes who need to establish monitoring programmes in watersheds with similar characteristics.

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