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Quantification of nitrogen load in a regulated river system in Vietnam by material flow analysis

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Abstract

In this study, nitrogen (N) loads in Day-Nhue River Basin (DNRB) in Vietnam were quantified (at river basin and province scale) via field observation and application of material flow analysis (MFA). By developing L(Q) curves, measured N loads were estimated from water level data and N content of rivers. N loads from DNRB to Tonkin Gulf were quantified by MFA. The gaps between MFA results and measurements were increased from 4.48 to 21.47% corresponding to the accumulative rainfall from year 2008 to 2010. Results illustrate that MFA can estimate potential N load across the river basin to surface water. Observed ranges in upstream and downstream river loads were different at 55–84% and 5–20% respectively, corresponding well with those estimated by MFA. MFA is effective at quantifying N load to surface water the downstream regions, which are mainly used for paddy agriculture. Original N sources were traced via MFA, identifying that decreasing chemical fertilizer application rates and pretreatment of drainage water before discharging to the surface water reduce N load from the DNRB to the surface water. Additionally, MFA identified a hidden flow in the upstream portion of the DNRB, which meant that measurement data were under-estimated.

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Acknowledgements

We gratefully acknowledge Prof. Junko Shindo for her assessment of our research methodology. The presented work was conducted under the support of the “Fiscal 2017 JASSO, Follow-up Research Fellowship”. This research was funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant number NE/P014577/1 and by Graduate University of Science and Technology under Grant number GUST.STS.ĐT2017-ST02. We appreciatively thank to Dr. Virginia Panizzo, University of Nottingham, UK, for editing this paper.

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Do, T.N., Tran, V.B., Trinh, A.D. et al. Quantification of nitrogen load in a regulated river system in Vietnam by material flow analysis. J Mater Cycles Waste Manag 21, 974–983 (2019). https://doi.org/10.1007/s10163-019-00855-z

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