Ecological regulation of cascade hydropower stations to reduce the risk of supersaturated total dissolved gas to fish

Ma, Qian; Li, Ran; Feng, Jingjie; Lu, Jingying; Zhou, Qin

doi:10.1016/j.jher.2019.10.002

Cited by 14 publications

(5 citation statements)

References 17 publications

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“…Therefore, it can be considered that the established model is valid and precise. More detailed validation results about STDG of the established laterally averaged, 2-D STDG transport diffusion model follows similar works conducted byFeng et al (2013) andMa et al (2019).…”

mentioning

confidence: 54%

“…(2013) is adopted to calculate the dissipation coefficient of STDG;

K_{L} ε

proposed by Ma et al. (2019) is adopted to calculate the surface mass transfer coefficient.

K_{T} = K_{20} \cdot {1.062}^{(T - 20)}

K_{L} ε = 0.6885 \cdot 1 . 44^{V_{w}} \cdot {1.062}^{(T - 20)}

where

K_{20}

is the dissipation coefficient of STDG at 20°C, which is determined by the observed results;

V_{w}

is the wind speed 10 m above the water surface; T is the water temperature of each grid in the simulation.…”

Section: Methodsmentioning

confidence: 99%

“…Based on the simulation results, Ma et al. (2019) designed a discontinuous operation regulation to minimize potential risks of STDG to fish. In our previous simulation works (Wan et al., 2020, 2021), an operational regulation by using tail water mixing was presented to mitigate the impact of STDG and improved the habitat area of fish.…”

Section: Introductionmentioning

confidence: 99%

“…Politano et al (2017) suggested that concentrating on the spill discharge in one bay was more effective in reducing STDG level than distributing the spill discharge in several bays based on simulation results of a two phase STDG mass transfer model. Based on the simulation results, Ma et al (2019) designed a discontinuous operation regulation to minimize potential risks of STDG to fish. In our previous simulation works (Wan et al, 2020(Wan et al, , 2021, an operational regulation by using tail water mixing was presented to mitigate the impact of STDG and improved the habitat area of fish.…”

mentioning

confidence: 99%

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Incorporating Fish Tolerance to Supersaturated Total Dissolved Gas for Generating Flood Pulse Discharge Patterns Based on a Simulation‐Optimization Approach

Wan

Tan

et al. 2021

Water Resources Research

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Supersaturated total dissolved gas (STDG) caused by the flood discharge can result in bubble disease and even fish death, posing potential risks to aquatic ecosystems. In order to reduce the impacts of STDG on such ecosystem, a dynamic multi‐objective STDG management model (DMO‐STDGM) with the flood pulse discharge pattern is developed based on the prototype observation and laboratory test analysis, which consists of STDG prediction, fish safety assessment, multi‐objective optimization and 2‐D STDG transport diffusion simulation modules. The proposed model can support generation of flood pulse discharge patterns to reduce the level of STDG and minimize the maximum residence time of STDG water. The developed model is applied to optimize the discharge pattern of Xiluodu project to reduce the effects of STDG on fish. Simulation results of the worst scenario with the flood pulse discharge pattern show that the maximum residence time of STDG for T120%, T125%, T130%, and T140% are 12, 9, 4, 3 and 1 h, which are less than the corresponding LT50s (Mean Lethal Time). It means that the physiological function of fish can recover from the affect of STDG, thus fish can survive in the worst scenario. The established model can also be employed for increasing power generation. Simulation results indicate that the flood pulse discharge pattern with equal weight of ecology and power generation can ensure full load operation of hydropower station with 12,600 MW. The established model is widely applicable and can provide an important theoretical and technical support for water quality and ecosystem management under multiple complexities.

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mentioning

confidence: 54%

“…(2013) is adopted to calculate the dissipation coefficient of STDG;

K_{L} ε

proposed by Ma et al. (2019) is adopted to calculate the surface mass transfer coefficient.

K_{T} = K_{20} \cdot {1.062}^{(T - 20)}

K_{L} ε = 0.6885 \cdot 1 . 44^{V_{w}} \cdot {1.062}^{(T - 20)}

where

K_{20}

is the dissipation coefficient of STDG at 20°C, which is determined by the observed results;

V_{w}

is the wind speed 10 m above the water surface; T is the water temperature of each grid in the simulation.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Incorporating Fish Tolerance to Supersaturated Total Dissolved Gas for Generating Flood Pulse Discharge Patterns Based on a Simulation‐Optimization Approach

Wan

Tan

et al. 2021

Water Resources Research

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“…For example, to reduce the flood risk at upstream hydropower stations and increase discharge, the downstream water level must be sharply adjusted, thus increasing shipping risk (Zhu et al 2013). The use of a spillway will produce spillway atomization, resulting in water gas oversaturation and the death of a large number of fish downstream due to bubble disease (Ma et al 2019). The development trends of multi-risk management and control for hydropower stations include cascade coordination, risk sharing and overall coordination.…”

Section: Introductionmentioning

confidence: 99%

Multi-risk interaction analysis of cascade hydropower stations based on system dynamics simulation

Zhu¹,

Lin

Liu³

et al. 2023

Preprint

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The operation of cascade hydropower stations is accompanied by various target risks while exerting the comprehensive benefits of water resources. The systematic analysis of multi-risk interactions during the operation of cascade hydropower stations is helpful for improving the operational benefit of hydropower stations. However, the current hydropower operating model used for risk simulation cannot show the dynamic operation processes within the system, which may limit the popularization of the model. In addition, most existing studies define risk from the perspective of reliability and lack analyses of risk resilience and vulnerability. In this study, a system dynamics model of cascade hydropower stations is constructed, and the relationships among the multi-risk of the Xiluodu-Xiangjiaba (XLD-XJB) cascade hydropower stations are explored from the aspects of reliability, resilience and vulnerability. The results are as follows. (1) The system dynamics model can effectively simulate the dynamic process of system operation and can be used to study the performance risk changes in the operation process of hydropower stations. (2) The current operating rule leads to ecological risk and shipping risk in the system in the normal scenario. There are also power risks in wet and dry scenarios. (3) There is a contradiction between power risk and shipping risk. In addition, in the case of insufficient inflow, there is a contradiction between the reliability and vulnerability of power risk. (4) The regulation of ecological risk helps reduce shipping risk and power risk. Therefore, ecological outflow should be regarded as the minimum outflow requirement of cascade hydropower stations.

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An SPH-based mass transfer model for simulating hydraulic characteristics and mass transfer process of dammed rivers

Wan

Mao

Cai

et al. 2021

Engineering with Computers

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Ecological regulation of cascade hydropower stations to reduce the risk of supersaturated total dissolved gas to fish

Cited by 14 publications

References 17 publications

Incorporating Fish Tolerance to Supersaturated Total Dissolved Gas for Generating Flood Pulse Discharge Patterns Based on a Simulation‐Optimization Approach

Incorporating Fish Tolerance to Supersaturated Total Dissolved Gas for Generating Flood Pulse Discharge Patterns Based on a Simulation‐Optimization Approach

Multi-risk interaction analysis of cascade hydropower stations based on system dynamics simulation

An SPH-based mass transfer model for simulating hydraulic characteristics and mass transfer process of dammed rivers

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