Russian River Reservoir (Coyote Valley) Project, California

2015 ◽  
pp. 33-36
Author(s):  
Ray C. Treasher
Keyword(s):  
River Reservoir ◽  
Russian River

scholarly journals Spatio-Temporal Variations in Phytoplankton Communities in Sediment and Surface Water as Reservoir Drawdown—A Case Study of Pengxi River in Three Gorges Reservoir, China

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 340
Author(s):  
Wenjuan Ouyang ◽  
Zhe Li ◽  
Jixiang Yang ◽  
Lunhui Lu ◽  
Jinsong Guo
Keyword(s):  
Surface Water ◽  
Algal Blooms ◽  
Maximum Flow ◽  
Total Carbon ◽  
Hydrodynamic Conditions ◽  
Reservoir Drawdown ◽  
River Reservoir ◽  
Reservoir Systems ◽  
Spatio Temporal ◽  
Maximum Flow Velocity

The resting stages of phytoplankton are usually regarded as the seed bank and source of harmful algal blooms because of the recruitment of phytoplankton from sediment to the water column under suitable environmental conditions. Information about resting stages of phytoplankton is abundant in shallow lakes and littoral sea; yet, studies on river–reservoir systems are rare. The river–reservoir continuum shows a unique structuring of longitudinal gradients of hydrological and hydrodynamic conditions. We hypothesized that the seed bank and algal blooms in reservoirs are influenced by the hydrodynamic conditions of each reservoir. We used Illumina Miseq sequencing to examine the spatio-temporal variation in the phytoplankton community in the sediment as reservoir drawdown and in surface water during algal blooms in Pengxi River, a tributary of China’s Three Gorges Reservoir. The results show that the cyanobacteria community in sediment is significantly influenced by temperature, total carbon, maximum flow velocity, and total phosphorous, the eukaryotic phytoplankton community in sediment is significantly influenced by total phosphorous, temperature, total carbon, maximum flow velocity, and total nitrogen. Additionally, the dominant species in sediment is significantly different from that in surface water during algal blooms. Our results suggest that the dominant species in surface water during algal blooms is more influenced by the environmental factors and hydrodynamic conditions in the water column than the seeds in the sediment. These findings are fundamental for further research on the influence of hydrodynamic conditions on algal blooms in artificially regulated river-reservoir systems.

Expansion of woody vegetation on a Missouri River reservoir delta‐backwater

Ecohydrology ◽  
2021 ◽  
Author(s):  
Catherine C. Beall ◽  
Mark D. Dixon ◽  
Nadeesha D. Illeperuma ◽  
Mark R. Sweeney ◽  
W. Carter Johnson
Keyword(s):  
Missouri River ◽  
Woody Vegetation ◽  
River Reservoir

Heavy metals in a typical city-river-reservoir system of East China: Multi-phase distribution, microbial response and ecological risk

2022 ◽  
Vol 112 ◽  
pp. 343-354
Author(s):  
Jun Yang ◽  
Mingrui Zhou ◽  
Kaifeng Yu ◽  
Karina Yew-Hoong Gin ◽  
Muhammad Hassan ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Phase Distribution ◽  
East China ◽  
Reservoir System ◽  
Microbial Response ◽  
River Reservoir ◽  
Multi Phase

Ecosystem responses to climate change in a large on-river reservoir, Lake Paldang, Korea

2013 ◽  
Vol 120 (1-2) ◽  
pp. 477-489 ◽  
Author(s):  
Hae-Kyung Park ◽  
Kang-Hyun Cho ◽  
Doo Hee Won ◽  
Jangho Lee ◽  
Dong-Soo Kong ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecosystem Responses ◽  
River Reservoir

Effects of the Belo Monte hydro-electric-dam complex on crocodilians in the Xingu River, Brazilian Amazonia

2021 ◽  
pp. 1-8
Author(s):  
Zilca Campos ◽  
Fábio Muniz ◽  
William E. Magnusson ◽  
Guilherme Mourão
Keyword(s):  
Water Level ◽  
Xingu River ◽  
Hydroelectric Dam ◽  
River Reservoir ◽  
Before And After ◽  
Collateral Effects ◽  
Generating Capacity ◽  
Reservoir Filling ◽  
Belo Monte

Abstract The Belo Monte hydroelectric dam on the Xingu River has the third largest generating capacity of any hydroelectric dam in the world. We conducted surveys of crocodilians (Caiman crocodilus, Paleosuchus trigonatus) by boat in the Xingu River at the site of the dam prior to (2013-2015), and after filling (2016-2017). While the number of C. crocodilus sighted decreased with increasing water level, there was no difference in numbers prior to, and after reservoir filling. The number of P. trigonatus was unaffected by both water level prior to and after reservoir filling. Reservoir filling had little effect on the number of crocodilians using the forest around the Xingu River reservoir. Most crocodilians seen in forest surveys were P. trigonatus, both before and after reservoir filling, but C. crocodilus was recorded occasionally in the forest. It seems that most Amazonian crocodilians are sufficiently generalist to adapt to the new conditions created by the construction of dams, at least in the short-term. However, there may be long-term collateral effects on crocodilian populations from dams, due to as deforestation and improved access for hunters.

scholarly journals Estimating and restoring bedload transport through a run-of-river reservoir

2019 ◽  
Vol 654 ◽  
pp. 1146-1157 ◽  
Author(s):  
Thomas Dépret ◽  
Hervé Piégay ◽  
Violaine Dugué ◽  
Lise Vaudor ◽  
Jean-Baptiste Faure ◽  
...  
Keyword(s):  
Bedload Transport ◽  
River Reservoir ◽  
Run Of River

scholarly journals Determination of cost coefficients of priority-based water allocation linear programming model – a network flow approach

2013 ◽  
Vol 10 (12) ◽  
pp. 15033-15070
Author(s):  
F. N.-F. Chou ◽  
C.-W. Wu
Keyword(s):  
Network Flow ◽  
Water Allocation ◽  
Programming Model ◽  
Original System ◽  
Linear Constraints ◽  
Operating Rules ◽  
River Reservoir ◽  
Link Cost ◽  
Basin Water ◽  
The Cost

Abstract. This paper presents a method to establish the objective function of a network flow programming model for simulating river/reservoir system operations and associated water allocation, with an emphasis on situations when the links other than demand or storage have to be assigned with nonzero cost coefficients. The method preserves the priorities defined by rule curves of reservoir, operational preferences for conveying water, allocation of storage among multiple reservoirs, and trans-basin water diversions. Path enumeration analysis transforms these water allocation rules into linear constraints that can be solved to determine link cost coefficients. An approach to prune the original system into a reduced network is proposed to establish the precise constraints of nonzero cost coefficients which can then be efficiently solved. The cost coefficients for the water allocation in the Feitsui and Shihmen Reservoirs joint operating system of northern Taiwan was adequately assigned by the proposed method. This case study demonstrates how practitioners can correctly utilize network-flow-based models to allocate water supply throughout complex systems that are subject to strict operating rules.

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