scholarly journals Global Sensitivity Analysis of a Water Quality Model in the Three Gorges Reservoir

Water ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 153 ◽  
Author(s):  
Yao Cheng ◽  
Yajun Li ◽  
Fei Ji ◽  
Yuchun Wang
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Three Gorges Reservoir ◽  
Global Sensitivity Analysis ◽  
Water Quality Model ◽  
Three Gorges ◽  
Quality Model ◽  
Global Sensitivity ◽  
The Three Gorges Reservoir ◽  
The Three Gorges

scholarly journals Factors influencing the sediment delivery ratio of the Three Gorges Reservoir

2018 ◽  
Vol 40 ◽  
pp. 03019
Author(s):  
Dayu Wang ◽  
Chunhong Hu ◽  
Chunming Fang ◽  
Jianzhao Guan ◽  
Lei Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Three Gorges Reservoir ◽  
Delivery Ratio ◽  
Three Gorges ◽  
Sediment Delivery Ratio ◽  
Sediment Delivery ◽  
Shape Coefficient ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Dam Site

In recent years, the sediment delivery ratio (SDR) of the Three Gorges reservoir (TGR) has noticeably decreased as a result of the increase in water levels at the dam site and the decrease in inflow of fine particles, thereby resulting in increased reservoir siltation. Therefore, it is vital to research the factors that influence the SDR of the TGR. Factors that could have impact on the SDR were studied using TGR monitoring data. The study indicated that the water level at the dam site and inflow and outflow rates could have contributed to the change in the SDR. A sensitivity analysis of the influencing factors was then carried out using a mathematical model to simulate numerous sediment movement scenarios in the TGR. By changing the input conditions of the model, sufficient results were obtained to enable a sensitivity analysis of each factor. The results showed the flood retention time (FRT)—the ratio of reservoir capacity to average outflow discharge—was the principal factor influencing the SDR. The other factors (inflow sediment concentration, inflow sediment coefficient, inflow sediment gradations, and the shape coefficient of the inflow flood shape coefficient), also had an influence on the SDR. However, under different levels of FRT, their degrees of influence on the SDR were not the same..

Mulberry trees conserved soil and protected water quality in the riparian zone of the Three Gorges Reservoir, China

2015 ◽  
Vol 23 (6) ◽  
pp. 5288-5295 ◽  
Author(s):  
Yun Liu ◽  
J. H. Martin Willison ◽  
Pan Wan ◽  
Xing-zheng Xiong ◽  
Yang Ou ◽  
...  
Keyword(s):  
Water Quality ◽  
Three Gorges Reservoir ◽  
Riparian Zone ◽  
Three Gorges ◽  
The Three Gorges Reservoir ◽  
The Three Gorges

The Discharge Outlets Layout Optimization of Typical River Section in the Three Gorges Reservoir Area

2014 ◽  
Vol 955-959 ◽  
pp. 3287-3294
Author(s):  
Zheng Wang ◽  
Ying Liu
Keyword(s):  
Water Quality ◽  
Three Gorges Reservoir ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Mixing Zone ◽  
Unit Load ◽  
Reservoir Area ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
The Impact

To improve water quality and alleviate pollution in Changshou-Fuling section of the Three Gorges Reservoir Area, an analysis methodology of regional key discharge outlet based on hydrodynamic-water quality model was developed. The EFDC model was used to study the impact of different discharge outlets on the transport of contamination in the study area by using the concept of pollutant mixing zone and pollutant mixing zone per unit load. Model calibration was conducted using observed data in 2008. Results indicated that EFDC could perfectly simulate hydrodynamics characteristics and contaminant transport process. Calculated results of pollutant mixing zone per unit load showed that the discharge outlet location in Fuling is more reasonable than that in Changshou. This study provides useful information for optimization of discharge outlets location and prediction of pollutant mixing zone in the study area, which is important for the government to make water pollution control measures.

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.

scholarly journals Assessing water quality for urban tributaries of the Three Gorges Reservoir, China

2018 ◽  
Vol 9 (1) ◽  
pp. 105-114 ◽  
Author(s):  
Senlin Zhu ◽  
Abazar Mostafaei ◽  
Wenguang Luo ◽  
Benyou Jia ◽  
Jiangyu Dai
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Water Resources Management ◽  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Resources Management ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Ccme Wqi ◽  
Assessment Results

Abstract Water quality assessment is essential for water resources management. This paper presents a comprehensive evaluation of water quality conditions in three urban tributaries of the Three Gorges Reservoir, China. The Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) and Nemerow Pollution Index (NPI) approach were used in this study. Generally, the assessment results of the NPI approach are consistent with that of the CCME-WQI approach. However, the NPI method overemphasized the influence of the most serious pollutant factor, and thus this method should be used with caution for water resources managers. The CCME-WQI values indicated that the water quality conditions in the Wubu River were quite good during the period 2013–2015. Water quality conditions in the upstream sections of Yipin and Huaxi River are good. However, when the river drains through urban areas, water quality conditions greatly deteriorate due to the excessive release of household and municipal sewage, and industrial wastewater, especially for Huaxi River. Thus, waste water management becomes more and more imperative in urban regions of China. Meanwhile, assessment results indicate that the CCME-WQI approach can provide a reference for decision-makers on water resources management.

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