Interactions of Waves and River Plume and their Effects on Sediment Transport at River Mouth

2011 ◽  
Author(s):  
Tian-Jian Hsu ◽  
Fengyan Shi
Keyword(s):  
Sediment Transport ◽  
River Mouth ◽  
River Plume

Numerical experiments of behaviours of river plume near river mouth.

1993 ◽  
pp. 31-38
Author(s):  
Keiji NAKATSUJI ◽  
Kusukatsu YUASA ◽  
Kohji MURAOKA
Keyword(s):  
Numerical Experiments ◽  
River Mouth ◽  
River Plume

scholarly journals Observation of Flood-driven Sediment Transport and Deposition Off a River Mouth

2015 ◽  
Vol 116 ◽  
pp. 1050-1056 ◽  
Author(s):  
Shin-ichi Aoki ◽  
Shigeru Kato ◽  
Takumi Okabe
Keyword(s):  
Sediment Transport ◽  
River Mouth

scholarly journals MODELING SEDIMENT TRANSPORT IN THE YELLOW RIVER MOUTH

2011 ◽  
Vol 1 (32) ◽  
pp. 13
Author(s):  
Haibo Zong ◽  
Pingxing Ding ◽  
Fengyan Shi
Keyword(s):  
Sediment Transport ◽  
Yellow River ◽  
Sediment Resuspension ◽  
River Mouth ◽  
Sediment Concentration ◽  
The Yellow River ◽  
Numerical Studies ◽  
Wave Effects ◽  
Coastal Sediment Transport ◽  
Yellow River Mouth

Yellow River is famous for its high sediment concentration, which carries a huge amount of sediment into Bohai Sea during the flood season. In the mouth of Yellow River, the suspended sediment concentration (here after: SSC) are relatively high and the average depth is generally shallow. Recent studies indicated that in the shallow and micro-tide area, wave usually is a primary mechanism for bottom sediment resuspension. Most numerical studies of sediment transport in the Yellow River mouth didn't include the wave effects. To analyze the sediment transport in the Yellow River mouth with wave effect, a Coastal Sediment Transport Modeling System (CSTMS) was applied in this study.

scholarly journals Sand Bypassing Methodology For Sustainable River Mouth Opening

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2280-2284
Keyword(s):  
Sediment Transport ◽  
Tamil Nadu ◽  
Mouth Opening ◽  
River Mouth ◽  
The Other ◽  
Natural Sediment ◽  
Water Level Rise ◽  
Model Study ◽  
River Training ◽  
The Impact

River inlets along the Tamil Nadu coast remain mostly closed due to negligible fresh water flow and also due to various structures constructed near to the river inlet obstructing natural sediment transport. Excessive development of the sand spit also causes serious problems such as water level rise during floods and difficulty in navigation through river mouth. To reduce the impact of coastal area flooding and easy navigation it is necessary to keep the river mouth open. River training walls (RTW) are generally constructed to keep the river mouth open. Depending upon the sediment transport direction, sediments get deposited on one side of the RTW, while depleting the sediments from the other side. To prevent the sediment deposit from spilling over to river mouth, it is ideal to bypass the sand to the other side of the river mouth. This study analyses the methodologies for sand bypassing. A numerical model study has been carried out using DHI LITPACK to evaluate the sedimentation. The procedure of sand bypassing using pumps and pipe lines are discussed. Volume of sand bypassed, pump capacity, the number of Booster pumps to maintain critical velocity etc. can be determined based on the procedure discussed

scholarly journals Nitrification and its oxygen consumption along the turbid Chang Jiang River plume

2014 ◽  
Vol 11 (7) ◽  
pp. 2083-2098 ◽  
Author(s):  
S. S.-Y. Hsiao ◽  
T.-C. Hsu ◽  
J.-w. Liu ◽  
X. Xie ◽  
Y. Zhang ◽  
...  
Keyword(s):  
Ammonia Oxidation ◽  
River Mouth ◽  
Amoa Gene ◽  
Free Water ◽  
River Plume ◽  
Community Respiration ◽  
Ammonium Concentration ◽  
Nitrification Rate ◽  
Nitrification Process ◽  
Iron And Manganese

Abstract. Nitrification is a series of processes that oxidizes ammonia to nitrate, which contributes to hypoxia development in coastal oceans, especially in eutrophicated regions. The nitrification rate of bulk water (NRb) and particle free water (NRpf, particle > 3 μm eliminated) were determined along the Chang Jiang River plume in August 2011 by nitrogen isotope tracer technique. Measurements of dissolved oxygen (DO), community respiration rate (CR), nutrients, dissolved organic nitrogen (DON), total suspended matter (TSM), particulate organic carbon/nitrogen (POC / PON), acid-leachable iron and manganese on suspended particles and both archaeal and β-proteobacterial ammonia monooxygenase subunit A gene (amoA) abundance on size-fractioned particles (> 3 μm and 0.22–3 μm) were conducted. The NRb ranged from undetectable up to 4.6 μmol L−1 day−1, peaking at a salinity of ~ 29. NRb values were positively correlated with ammonium concentration, suggesting the importance of substrate in nitrification. In the river mouth and the inner plume, NRb was much higher than NRpf, indicating that the nitrifying microorganism is mainly particle associated, which was supported by its significant correlation with amoA gene abundance and TSM concentration. The estimated oxygen demands of nitrification accounted for 0.32 to 318% of CR, in which 50% samples demanded more oxygen than that predicted by by the Redfield model (23%), indicating that oxygen might not be the sole oxidant though DO was sufficient (> 58 μmol kg−1) throughout the observation period. The excess nitrification-associated oxygen demand (NOD) showed a tendency to occur at lower DO samples accompanied by higher acid-leachable Fe / Mn, which implied reactive Fe3+ / Mn4+ may play a role as oxidant in the nitrification process. Stoichiometric calculation suggested that reactive Fe on particles was 10 times the oxidant demand required to complete ammonia oxidation in the entire plume. The potential involvement of reactive iron and manganese in the nitrification process in oxygenated water further complicated nitrogen cycling in the turbid river plume.

scholarly journals INVESTIGATION OF SEDIMENT TRANSPORT CHARACTERISTICS ALONG THE COAST OF MA RIVER MOUTH ADJACENT TO THE RED RIVER MOUTH

2015 ◽  
Vol 71 (2) ◽  
pp. I_715-I_720 ◽  
Author(s):  
Ryota HIGASHI ◽  
Yoshimitsu TAJIMA ◽  
Kavinda GUNASEKARA ◽  
Nguyen Thanh HUNG ◽  
Chi Le HANH
Keyword(s):  
Sediment Transport ◽  
River Mouth ◽  
Red River
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