Impact assessment of reservoir desiltation measures for downstream riverbed migration in climate change: A case study in northern Taiwan

Chao, Yi-Chiung; Hsieh, Tung-Chou; Chen, Chi-Wen; Cheng, Chao‐Tzuen; Li, Hsin-Chi; Yeh, Kuo‐Chen; Chen, Ming-Fong

doi:10.1016/j.jher.2021.05.003

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…e sediment accumulation from rainfall owing into reservoir resulted in a decrease in reservoir capacity, so it is necessary to consider the reservoir's long-term sediment accumulation. erefore, longterm reservoir operation considering sediment accumulation is an important operational parameter in order to 0 500 1,000 ensure future accuracy and sustainability [21,23,24]. It can be concluded that the MPA linked with reservoir simulation using HR criteria and considering sedimentation can be used to e ectively nd optimal rule curves solution.…”

Section: E E Ciency Of Mpa Rule Curves Considering Sedimentation Usin...mentioning

confidence: 99%

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Applying of Marine Predators Algorithm Linked with Reservoir Simulation Model considering Sedimentation for Reservoir Operation

Ngamsert

Kangrang

2022

Advances in Civil Engineering

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This paper proposes the Marine Predators algorithm (MPA) linked with the reservoir simulation model and considering sedimentation, in order to improve reservoir rule curves. The release criteria of the hedging rule (HR) and standard operating policy (SOP) were investigated in this study. The results showed that the patterns of the new optimal rule curves from the MPA technique considering sedimentation and using HR were practically useful in this study, as were the patterns of the new optimal rule curves using SOP and those of the existing rule curves. Furthermore, the new optimal rule curves using HR criteria were able to alleviate both water scarcity and excess water situations better than both existing rule curves and optimal rule curves using SOP in terms of minimal average water shortage. The new curves reduced minimal average water shortage by 53% and excess release water deficit by 19%, whereas the frequency of water shortage term was increased by 3%. The results of rule curves efficiency from MPA were higher than GA and FPA techniques in terms of providing solutions. There was a significant difference in the efficiency of water problem alleviation between considering and not considering sedimentation. It can be concluded that the MPA linked with reservoir simulation using HR criteria and considering sedimentation can be used to find optimal rule curve solutions effectively.

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Section: E E Ciency Of Mpa Rule Curves Considering Sedimentation Usin...mentioning

confidence: 99%

“…In addition, the reservoir function is determined by considering the correlation curve in capacity-area-elevation of the reservoir. However, sedimentation in the reservoir decreases the storage capacity of the reservoir over time [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Applying of Marine Predators Algorithm Linked with Reservoir Simulation Model considering Sedimentation for Reservoir Operation

Ngamsert

Kangrang

2022

Advances in Civil Engineering

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“…This may be exacerbated by changes in the use of water storage areas [27]. The reservoir capacity decreasing over time directly results from finding rule curves for use as a discharge criterion [28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Solution in Decision Supporting System for River Basin Management Consisting of a Reservoir System

Ngamsert

Techarungruengsakul

Kaewplang

et al. 2023

Water

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Decision support systems tackle problems and require systematic planning. They consider physical data, hydrological data, and sediment levels to achieve efficiency and adaptability in various situations. Therefore, this research aims to identify alternative engineering choices for the management of a river basin with a single reservoir system. Optimization techniques, including marine predator algorithm (MPA), genetic algorithm (GA), genetic programming (GP), tabu search (TS), and flower pollination algorithm (FPA), were applied to find the optimal reservoir rule curves using a reservoir simulation model. The study focused on the Ubolratana Reservoir in Thailand’s Khon Kaen Province, considering historic inflow data, water demand, hydrologic and physical data, and sedimentation volume. Four scenarios were considered: normal water scarcity, high water scarcity, normal excess water, and high excess water. The optimal rule curves derived from the reservoir simulation model, incorporating sedimentation and hedging rule (HR) criteria, were found to be the best engineering choices. In the normal and high water scarcity scenarios, they minimized the average water shortage to 95.558 MCM/year, with the lowest maximum water shortage 693.000 MCM/year. Similarly, in the normal and high excess water scenarios, the optimal rule curves minimized the average excess water, resulting in a minimum overflow of 1087.810 MCM/year and the lowest maximum overflow 4105.660 MCM/year. These findings highlight the effectiveness of integrating optimization techniques and a reservoir simulation model to obtain the optimal rule curves. By considering sedimentation and incorporating HR criteria, the selected engineering alternatives demonstrated their ability to minimize water shortage and excess water. This contributes to improved water resource management and decision-making in situations of scarcity and excess.

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“…In recent decades, with the rapid development of advanced industries, environmental pollution has become increasingly severe [1,2]. The mass emission of several toxic gases such as carbon dioxide, methane, and nitrogen oxide (NO x ) from manufacturing, transportation, factory, and power plant activities represents an pressing concern to the global environment and human health [3].…”

Section: Introductionmentioning

confidence: 99%

Enhanced photocatalytic removal of nitric oxide over Ag-decorated ZnSn(OH)6 microcubes

Pham

Van

Nguyen

et al. 2022

Sustain Environ Res

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Presently, most of the population has been facing a string of severe air pollution problems that include the intensive emission of nitric oxide (NO), which requires a practical approach to sustain our living conditions. Herein, Ag nanoparticles (Ag NPs)-decorated ZnSn(OH)6 microcubes (Ag:cZHS) photocatalysts are synthesized and used for photocatalytic NO removal under solar light activation. The properties of the newly obtained photocatalysts are comprehensively characterized by a series of typical methods. The NO removal performance over the c:ZHS photocatalysts was increased markedly upon being combined with Ag NPs because of the surface plasmon resonance effect. The contribution of electron (e−), hole (h+), hydroxyl radical (•OH), and oxygen radicals (•O2) was investigated through trapping tests and electron spin resonance analysis. Also, the by-products and apparent quantum efficiency of the photocatalysts were thoroughly studied.

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Impact assessment of reservoir desiltation measures for downstream riverbed migration in climate change: A case study in northern Taiwan

Cited by 4 publications

References 22 publications

Applying of Marine Predators Algorithm Linked with Reservoir Simulation Model considering Sedimentation for Reservoir Operation

Applying of Marine Predators Algorithm Linked with Reservoir Simulation Model considering Sedimentation for Reservoir Operation

Optimizing Solution in Decision Supporting System for River Basin Management Consisting of a Reservoir System

Enhanced photocatalytic removal of nitric oxide over Ag-decorated ZnSn(OH)6 microcubes

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