Abstract:This study investigates the tidal discharge division and phase difference at branches connected to a channel junction. The tidal discharge at three branches (eastern, western, and northern branches) was continuously collected using the fluvial acoustic tomography system (FATS). The discharge asymmetry index was used to quantify the flow division between two seaward branches (eastern and western branches). The cross-wavelet method was applied to calculate the phase difference between the tidal discharge and wat… Show more
“…Using numerical experiments, Buschman et al, (2010) show convergence of tidal waves in junction affects the division of tidal discharge in the branches. Danial et al, (2019) show a similar result to Buschman et al, (2010) and suggest that the neap-spring tidal variation controls discharge asymmetry.…”
Section: Introductionsupporting
confidence: 61%
“…The tidal effect partly cancels the inequality of discharge division (Buschman et al, 2010;Danial et al, 2019) that influenced the sediment flux division (Wagner & Mohrig, 2019) and channel development (Iwantoro et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The tidal wave dynamics in estuaries have been studied in a range of topography settings, from single channel estuaries (Cai et al, 2018;Savenije et al, 2008) to branching estuarine systems (Buschman et al, 2010;Danial et al, 2019;Xiao et al, 2021). It was found that the tidal wave dynamics in estuaries are controlled by interaction tides and river runoff and affected by the topography setting.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The tidal range is up to 2-3.5 in the semi-diurnal tidal regime. The gate controls the discharge, with the normal discharge being around 20-100 m3/s (Danial et al, 2019;Xiao et al, 2020). The average bottom topography is approximately 3 m. Moreover, the Ota River is a branching delta.…”
Observations of water elevation in the short and small tidal junctions of the Ota River, Japan, showed an increase in tidal nonlinearity at the apex of the junction. To quantitatively estimate the increase in nonlinearity, the barotropic hydrodynamic model was applied in an idealized junction domain, inspired by the Ota River Estuary junction. Even though the model was simplified, it successfully reproduced the increase in nonlinearity at the junction apex. A sensitivity analysis of tidal nonlinearity to the width of the upstream channel at the junction was performed by varying the upstream channel width from the same width as the branch channel width to three times the branch channel width. The relationship between the upstream channel width at the apex and tidal nonlinearity was not linear. Tidal nonlinearity was maximized when the apex width was twice the branch channel width. The convergence of the tides in the small width junction induced an increase of some positions of quarter-diurnal tidal constituent that raised the tidal nonlinearity. In the case of a wider channel, the flushing from river runoff dampen the tidal constituents, making it decrease tidal nonlinearity
“…Using numerical experiments, Buschman et al, (2010) show convergence of tidal waves in junction affects the division of tidal discharge in the branches. Danial et al, (2019) show a similar result to Buschman et al, (2010) and suggest that the neap-spring tidal variation controls discharge asymmetry.…”
Section: Introductionsupporting
confidence: 61%
“…The tidal effect partly cancels the inequality of discharge division (Buschman et al, 2010;Danial et al, 2019) that influenced the sediment flux division (Wagner & Mohrig, 2019) and channel development (Iwantoro et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The tidal wave dynamics in estuaries have been studied in a range of topography settings, from single channel estuaries (Cai et al, 2018;Savenije et al, 2008) to branching estuarine systems (Buschman et al, 2010;Danial et al, 2019;Xiao et al, 2021). It was found that the tidal wave dynamics in estuaries are controlled by interaction tides and river runoff and affected by the topography setting.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The tidal range is up to 2-3.5 in the semi-diurnal tidal regime. The gate controls the discharge, with the normal discharge being around 20-100 m3/s (Danial et al, 2019;Xiao et al, 2020). The average bottom topography is approximately 3 m. Moreover, the Ota River is a branching delta.…”
Observations of water elevation in the short and small tidal junctions of the Ota River, Japan, showed an increase in tidal nonlinearity at the apex of the junction. To quantitatively estimate the increase in nonlinearity, the barotropic hydrodynamic model was applied in an idealized junction domain, inspired by the Ota River Estuary junction. Even though the model was simplified, it successfully reproduced the increase in nonlinearity at the junction apex. A sensitivity analysis of tidal nonlinearity to the width of the upstream channel at the junction was performed by varying the upstream channel width from the same width as the branch channel width to three times the branch channel width. The relationship between the upstream channel width at the apex and tidal nonlinearity was not linear. Tidal nonlinearity was maximized when the apex width was twice the branch channel width. The convergence of the tides in the small width junction induced an increase of some positions of quarter-diurnal tidal constituent that raised the tidal nonlinearity. In the case of a wider channel, the flushing from river runoff dampen the tidal constituents, making it decrease tidal nonlinearity
“…Kawanisi et al (2015) measured energy flux in a strait by employing FATS, where the acoustic transmission line was around 1,204 m [10]. Bahreinimotlagh et al (2016) [11] and Al Sawaf et al (2017) [12] measured the streamflow of a shallow mountainous river using FATS, where the length of transmission line was about -300 m. Danial et al (2019) investigated the characteristics of tidal discharge in the three tidal channel junctions using three pairs of FATS, where their transmission lines were 224, 246 and 290 m [13].…”
Fluvial Acoustic Tomography System (FATS) as an advanced technology acquires continuous streamflow data in rivers and estuaries even during floods. However, the acoustic signals are dramatically attenuated by suspending sediments which this problem is a new field of study. In this study, we propose a new equation to estimate the maximum applicable measurement distances (MAMDs). It is based on the cross-sectional suspended sediment concentration () and the particle sizes on the 30-kHz FATS. Our study results show that MAMD might be 2,380 m in the clear water. Moreover, the streamflow monitoring can be perfectly done while is less than 12.67 kg/m 3 with the particle radii of 3 μm, when the horizontal distance between two acoustic stations is 100 m. Also, the acoustic signals are not decayed if the particle radii equal to 20 mm and the maximum is 6.6 kg/m 3. This study highlights the performance of FATS in the presence of high and provides a better perspective of applying FATS in different rivers with high variability of .
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