Ecosystem metabolism and the driving factors in Xiangxi Bay of Three Gorges Reservoir, China

2016 ◽  
Vol 35 (3) ◽  
pp. 826-833 ◽  
Author(s):  
Lin Ye ◽  
Qinghua Cai ◽  
Min Zhang ◽  
Lu Tan ◽  
Henglun Shen
Keyword(s):  
Three Gorges Reservoir ◽  
Driving Factors ◽  
Ecosystem Metabolism ◽  
Three Gorges ◽  
Xiangxi Bay

Occurrence and Characteristics of Microplastic Pollution in Xiangxi Bay of Three Gorges Reservoir, China

2017 ◽  
Vol 51 (7) ◽  
pp. 3794-3801 ◽  
Author(s):  
Kai Zhang ◽  
Xiong Xiong ◽  
Hongjuan Hu ◽  
Chenxi Wu ◽  
Yonghong Bi ◽  
...  
Keyword(s):  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Xiangxi Bay

Methane Oxidation in the Water Column of Xiangxi Bay, Three Gorges Reservoir

2019 ◽  
Vol 47 (9) ◽  
pp. 1800516 ◽  
Author(s):  
Dan Lei ◽  
Jia Liu ◽  
Junwei Zhang ◽  
Andreas Lorke ◽  
Shangbin Xiao ◽  
...  
Keyword(s):  
Water Column ◽  
Methane Oxidation ◽  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Xiangxi Bay

Effects of vertical mixing on phytoplankton blooms in Xiangxi Bay of Three Gorges Reservoir: Implications for management

2012 ◽  
Vol 46 (7) ◽  
pp. 2121-2130 ◽  
Author(s):  
Liu Liu ◽  
Defu Liu ◽  
David M. Johnson ◽  
Zhongqiang Yi ◽  
Yuling Huang
Keyword(s):  
Three Gorges Reservoir ◽  
Vertical Mixing ◽  
Three Gorges ◽  
Phytoplankton Blooms ◽  
Xiangxi Bay

Dynamics of main nutrient input to Xiangxi Bay of the Three-Gorges Reservoir

2008 ◽  
Vol 28 (5) ◽  
pp. 2073-2079 ◽  
Author(s):  
Li Fengqing ◽  
Ye Lin ◽  
Liu Ruiqiu ◽  
Cao Ming ◽  
Cai Qinghua
Keyword(s):  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Nutrient Input ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Xiangxi Bay

scholarly journals Temporal variation of methane flux from Xiangxi Bay of the Three Gorges Reservoir

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Shangbin Xiao ◽  
Defu Liu ◽  
Yuchun Wang ◽  
Zhengjian Yang ◽  
Wenzhong Chen
Keyword(s):  
Temporal Variation ◽  
Three Gorges Reservoir ◽  
Methane Flux ◽  
Three Gorges ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Xiangxi Bay

Nutrient estimation by HJ-1 satellite imagery of Xiangxi Bay, Three Gorges Reservoir, China

2016 ◽  
Vol 75 (8) ◽  
Author(s):  
Yuling Huang ◽  
Dongxing Fan ◽  
Defu Liu ◽  
Linxu Song ◽  
Daobin Ji ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Xiangxi Bay

Seasonal variation in functional phytoplankton groups in Xiangxi Bay, Three Gorges Reservoir

2011 ◽  
Vol 29 (5) ◽  
pp. 1057-1064 ◽  
Author(s):  
Min Yang ◽  
Yonghong Bi ◽  
Jianlin Hu ◽  
Kongxian Zhu ◽  
Guangjie Zhou ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Xiangxi Bay

scholarly journals Application of 2D Hydrodynamic Model for the Assessment of the Influencing Factor in Xiangxi Bay of the Three Gorges Reservoir, China

2021 ◽  
Author(s):  
RANOJIT KUMAR DUTTA ◽  
BAISHAKHI DAS
Keyword(s):  
Algal Blooms ◽  
Three Gorges Reservoir ◽  
Influencing Factor ◽  
Travel Distance ◽  
Three Gorges ◽  
Density Currents ◽  
Quality Model ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Xiangxi Bay

Abstract A two-dimensional (2D), laterally averaged, hydrodynamic and water quality model, CE-QUAL-W2, was used to simulate the hydrodynamics and water temperatures of Xiangxi Bay (XXB) of the Three Gorges Reservoir (TGR). Algal blooms occurred seasonally in XXB which is influenced by density currents. The CE-QUAL-W2 model was calibrated using data collected in XXB from January to December 2010. The model was then used to examine the environmental factors that affect the density currents. The model predicted density currents such as overflows, interflows and underflows of the XXB. The results suggest that more than 25%, 58.33% and 16.67% of the density currents that occurred in the XXB were overflow, interflow and underflow, respectively. Field observations were conducted including travel distance and thickness of intrusion layer for 24 days in 2010. The average travel distance of overflow, interflow and underflow in XXB was 15.50 km, 8.78 km, and 9 km based on observations and 16 km, 9.40 km, 9.60 km based on the model results. Therefore, numerical simulations of density currents can be predicted to better understand the hydrodynamics and aquatic ecosystems in XXB of TGR.

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