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Monitoring discharge in a tidal river using water level observations: Application to the Saigon River, Vietnam

机译:使用水位观测监测潮汐河中的放电:在西贡河,越南的应用

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The hydrological dynamics of the Saigon River is ruled by a complex combination of factors, which need to be disentangled to prevent and limit risks of flooding and salt intrusion. In particular, the Saigon water discharge is highly influenced by tidal cycles with a relatively low net discharge. This study proposes a low-cost technique to estimate river discharge at high frequency (every 10 min in this study). It is based on a stage-fall-discharge (SFD) rating curve adapted from the general Manning Strickler law, and calibrated thanks to two ADCP campaigns. Two pressure sensors were placed at different locations of the river in September 2016: one at the centre of Ho Chi Minh City and one in Phu Cuong, 40 km upstream approximately. The instantaneous water discharge data were used to evaluate the net residual discharge and to highlight seasonal and inter-annual trends. Both water level and water discharge show a seasonal behaviour. Rainfall, including during the Usagi typhoon that hit the megalopolis in November 2018, has no clear and direct impact on water level and water discharge due to the delta flat morphology and complex response between main channel and side channel network and ground water in this estuarine system under tidal influence. However, we found some evidences of interactions between precipitation, groundwater, the river network and possibly coastal waters. This paper can be seen as a proof of concept to (1) present a low-cost discharge method that can be applied to other tidal rivers, and (2) demonstrate how the high-frequency discharge data obtained with this method can be used to evaluate discharge dynamics in tidal river systems.
机译:西贡河的水文动力学由复杂的因素组合统治,需要解除防止和限制洪水和侵入的风险。特别地,西贡排水受到净排放相对较低的潮汐循环的高度影响。本研究提出了一种低成本技术来估计高频河流放电(本研究中每10分钟)。它是基于舞台的落下(SFD)评级曲线,改编自曼宁斯特克勒法,归功于两个ADCP活动。 2016年9月,两个压力传感器被置于河流的不同地点:一个在胡志明市中心,距离普翠城市,距离上游40公里。瞬时排放数据用于评估净残余排放并突出季节性和年间趋势。水位和排水都显示出季节性行为。降雨量,包括在2018年11月达到甲型大都市的Usagi台风期间,由于该河口系统主流通道和侧通道网络和地面水之间的Δ平整形态和复杂的反应,对水位和排水产生没有明确和直接影响在潮汐影响下。然而,我们发现降水,地下水,河流网络和可能沿海水之间的相互作用的一些证据。本文可以被视为概念证明(1)呈现了可以应用于其他潮汐河流的低成本放电方法,(2)证明如何使用该方法获得的高频放电数据评估潮汐系统的排放动力学。

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