Risk analysis of water supply-hydropower generation-environment nexus in the cascade reservoir operation

Qiu, Hongya; Chen, Lu; Zhou, Jianzhong; He, Zhongzheng; Zhang, Hansong

doi:10.1016/j.jclepro.2020.124239

Cited by 28 publications

(14 citation statements)

References 34 publications

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“…With a total length of 4504 km and a drainage area covering 1 million square kilometers, the upper Yangtze River in China has high river gradients and abundant hydropower resources [36]. As the upper Yangtze River, Jinsha River has hydropower resources that account for more than half of the whole Yangtze River basin's output.…”

Section: Case Studymentioning

confidence: 99%

Operation Rule Derivation of Hydropower Reservoirs by Support Vector Machine Based on Grey Relational Analysis

Zhu

Zhou

Qiu

et al. 2021

Water

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In practical applications, the rational operation rule derivation can lead to significant improvements in the middle and long-term joint operation of cascade hydropower stations. The key issue of actual optimal operation is to select effective attributions from the deterministic optimal operation results, however, there is still no general and mature method to solve this problem. Firstly, the joint optimal operation model of hydropower reservoirs considering backwater effects are established. Then, the dynamic programming and progressive optimality algorithm are applied to solve the joint optimal operation model and the deterministic optimization results are obtained. Finally, the grey relational analysis method is applied to select more effective factors from the obtained results as the input of a support vector machine for further operation rule derivation. The Xi Luo-du and Xiang Jia-ba cascade reservoirs in the upper Yangtze river of China are selected as a case study. The results show that the proposed method can obtain better input factors to improve the performance of SVM, and smallest value of root mean square error by the proposed method of Xi Luo-du and Xiang Jia-ba are 94.33 and 21.32, respectively. The absolute error of hydropower generation for Xi Luo-du and Xiang Jia-ba are 2.57 and 0.42, respectively. Generally, this study provides a well and promising alternative tool to guide the joint operation of hydropower reservoir systems.

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Section: Case Studymentioning

confidence: 99%

Operation Rule Derivation of Hydropower Reservoirs by Support Vector Machine Based on Grey Relational Analysis

Zhu

Zhou

Qiu

et al. 2021

Water

Self Cite

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“…In recent years, more and more attention has been paid to the ecological protection function of the reservoir. Measures to improve the ecological environment such as discharging environmental flow and creating artificial floods have been studied and applied in many reservoirs (Poff and Schmidt, 2016;Adams et al, 2017;Leroy and Olden, 2018;Qiu et al, 2020). The protected area of the reservoir ecological regulation also gradually extends from the river to the estuary and coastal waters (Yang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis on the ecological impact of the Xiaolangdi Reservoir on the Yellow River Delta wetland and coastal areas

et al. 2022

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An environmental water supplement through reservoir regulation is an important way to restore the deltaic coastal wetland. In order to quantify the impact of the reservoir on the deltaic coastal wetland ecosystem, this article proposes a quantitative analysis method for the ecological impact and contribution rate of the reservoir, which compares the ecological status in two scenarios with the presence or absence of the reservoir during the assessment period, and reveals the reservoir’s impact on and contribution rate to the ecological status and environmental water supplement conditions. The results show that during 2000–2019, through the regulation of the Xiaolangdi Reservoir, the average annual drying up days at the Lijin section reduced by 81.15 days, the average annual assurance rate of ecological base flow at the Lijin section increased by 20.60%, and the volume of water flowing into the sea from April to June increased by 2.37 billion m³. During 2008–2015, the Xiaolangdi Reservoir increased the environmental water supplement of the Yellow River Delta by 19.95 million m³. Compared with the flow and water withdrawal during 1980–1999, the natural flow of the Yellow River decreased by 10.59% and the measured flow in the lower reaches decreased by 22.15%, and the water withdrawal in the lower reaches increased by 0.32 billion m³ during 2000–2019, which is detrimental to provide environmental water to the Yellow River Delta wetland and coastal areas. The Xiaolangdi Reservoir reversed the adverse effects of flow and water withdrawal and ensured the continuous ecological improvement in the Yellow River Delta and coastal areas, providing the respective contribution rate of 187.85%, 137.24%, and 125.83% to the prevention of drying up at the Lijin section, the increase in the assurance rate of ecological base flow at the Lijin section, and the increase in the volume of water flowing into the sea in the critical period.

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“…Rivers and surface waters are raised as one of the main sources of water supply and transfer for various uses (Enrique, et al, 2007). Reservoir dams are highly important sources of storage and regulation of surface water, runoff, and floods (Qiu et al, 2020); however, due to fluctuations in river discharge and reservoir capacity limit, the time distribution between the inflow to reservoirs and downstream water requirements have posed some difficulties (Srinivasa Prasad et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models

Najafabadi¹,

Mirzaei²,

Azarm

et al. 2022

Water Resour Manage

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Integrated management of water supply and demand has been considered by many policymakers and due to its complexity, the decision makers have faced many challenges. In this study, we proposed an efficient framework for managing water supply and demand in line with the economic and environmental objectives of the basin. To design this framework, a combination of ANFIS and multi-objective augmented ε-constraint programming models and TOPSIS were used. First, using hydrological data from 2001 to 2017, the rate of water release from the dam reservoir was estimated with the ANFIS model; afterwards, its allocation to agricultural areas was performed by combining multi-objective augmented ε-constraint models and TOPSIS. To prove the reliability of the proposed model, the southern Karkheh basin in Khuzestan province, Iran, was considered as a case study. The results showed that this model is able to reduce irrigation water consumption and improve its economic productivity in the basin.

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Risk analysis of water supply-hydropower generation-environment nexus in the cascade reservoir operation

Cited by 28 publications

References 34 publications

Operation Rule Derivation of Hydropower Reservoirs by Support Vector Machine Based on Grey Relational Analysis

Operation Rule Derivation of Hydropower Reservoirs by Support Vector Machine Based on Grey Relational Analysis

Analysis on the ecological impact of the Xiaolangdi Reservoir on the Yellow River Delta wetland and coastal areas

Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models

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