Multi-objective analysis of dam release flows in rivers downstream from hydropower reservoirs

Cioffi, Francesco; Gallerano, Francesco

doi:10.1016/j.apm.2011.09.077

Cited by 37 publications

(29 citation statements)

References 40 publications

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“…Additionally, data-driven models can be integrated with expert knowledge-based approaches and hence improve model reliability [125]. A final strength of most models is that they can be applied to a wide range of spatial scales varying from small creeks [55,112] to whole river basins [11] or for different time scales [26,55].…”

Section: Strengths-weaknesses-opportunities-threats Analysismentioning

confidence: 99%

“…Flow is used as the input variable for hydrodynamic and water quality models to predict the physical and chemical impacts such as a change in water depth, velocity and other variables that are driven by flow regulations [25,47,112,113]. In some cases, outputs from water quality or hydrodynamic models have been used as the input variables to predict the impact of dams on habitat suitability.…”

Section: Model Processes and Outputsmentioning

confidence: 99%

“…Nevertheless, most model approaches base their assessment on physical-chemical water quality or the habitat suitability of adult fish (e.g., Ruetz and Jennings [32]; Freeman et al [31]; Cerny et al [62]; Grand et al [55]; Hatten et al [22]; Garcia et al [18]; Li et al [99]; Cioffi and Gallerano [112]; Chen et al [131]; Wang et al [25]), including often purely the most common and economic valuable species (e.g., trout, salmon) or endangered species. One publication considered the impact of flow regulation on algae [38]; one paper focused on the effect on habitat suitability of amphibians [26]; and just three papers considered macroinvertebrates [25,37,115] in their assessment.…”

Section: Weaknessesmentioning

confidence: 99%

“…Therefore, ecological models should be constructed based on the good understanding of the reactions and the processes of ecosystems [127]. However, the models presented in the selected papers often disregard the complex processes of ecosystems [112]. Although a few models combined two or more model types, no integrated protocol for model development was proposed.…”

Section: Weaknessesmentioning

confidence: 99%

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Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Nguyen

Everaert

Boets

et al. 2018

Water

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Abstract:We critically analyzed a set of ecological models that are used to assess the impact of hydropower dams on water quality and habitat suitability for biological communities. After a literature search, we developed an integrated conceptual model that illustrates the linkages between the main input variables, model approaches, the output variables and biotic-abiotic interactions in the ecosystems related to hydropower dams. We found that variations in water flow and water depth coupled with increased nutrient availability are major variables that contribute to structural and functional ecosystem changes. We also found that ecological models are an important tool to assess the impact of hydropower dams. For instance, model simulation of different scenarios (e.g., with and without the dam, different operation methods) can analyze and predict the related ecosystem shifts. However, one of the remaining shortcomings of these models is the limited capacity to separate dam-related impacts from other anthropogenic influences (e.g., agriculture, urbanization). Moreover, collecting sufficient high-quality data to increase the statistical power remains a challenge. The severely altered conditions (e.g., generation of very deep lakes) also lead to difficulties for standardized data collection. We see future opportunities in the integration of models to improve the understanding of the different processes affected by hydropower dam development and operation, as well as the use of remote sensing methods for data collection.

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Section: Strengths-weaknesses-opportunities-threats Analysismentioning

confidence: 99%

Section: Model Processes and Outputsmentioning

confidence: 99%

Section: Weaknessesmentioning

confidence: 99%

Section: Weaknessesmentioning

confidence: 99%

See 2 more Smart Citations

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Nguyen

Everaert

Boets

et al. 2018

Water

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“…A great number of NSGA-II applications can be found in multi-objective water-resources problems, such as those described in [23][24][25][26][27][28].…”

Section: Nsga-iimentioning

confidence: 99%

Multi-Objective Reservoir Optimization Balancing Energy Generation and Firm Power

Qiu

2015

Energies

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Abstract:To maximize annual power generation and to improve firm power are important but competing goals for hydropower stations. The firm power output is decisive for the installed capacity in design, and represents the reliability of the power generation when the power plant is put into operation. To improve the firm power, the whole generation process needs to be as stable as possible, while the maximization of power generation requires a rapid rise of the water level at the beginning of the storage period. Taking the minimal power output as the firm power, both the total amount and the reliability of the hydropower generation are considered simultaneously in this study. A multi-objective model to improve the comprehensive benefits of hydropower stations are established, which is optimized by Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The Three Gorges Cascade Hydropower System (TGCHS) is taken as the study case, and the Pareto Fronts in different search spaces are obtained. The results not only prove the effectiveness of the proposed method, but also provide operational references for the TGCHS, indicating that there is room of improvement for both the annual power generation and the firm power.

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Environmental hedging: A theory and method for reconciling reservoir operations for downstream ecology and water supply

Adams

Lund

Moyle

et al. 2017

Water Resources Research

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Building reservoir release schedules to manage engineered river systems can involve costly trade‐offs between storing and releasing water. As a result, the design of release schedules requires metrics that quantify the benefit and damages created by releases to the downstream ecosystem. Such metrics should support making operational decisions under uncertain hydrologic conditions, including drought and flood seasons. This study addresses this need and develops a reservoir operation rule structure and method to maximize downstream environmental benefit while meeting human water demands. The result is a general approach for hedging downstream environmental objectives. A multistage stochastic mixed‐integer nonlinear program with Markov Chains, identifies optimal “environmental hedging,” releases to maximize environmental benefits subject to probabilistic seasonal hydrologic conditions, current, past, and future environmental demand, human water supply needs, infrastructure limitations, population dynamics, drought storage protection, and the river's carrying capacity. Environmental hedging “hedges bets” for drought by reducing releases for fish, sometimes intentionally killing some fish early to reduce the likelihood of large fish kills and storage crises later. This approach is applied to Folsom reservoir in California to support survival of fall‐run Chinook salmon in the lower American River for a range of carryover and initial storage cases. Benefit is measured in terms of fish survival; maintaining self‐sustaining native fish populations is a significant indicator of ecosystem function. Environmental hedging meets human demand and outperforms other operating rules, including the current Folsom operating strategy, based on metrics of fish extirpation and water supply reliability.

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Multi-objective analysis of dam release flows in rivers downstream from hydropower reservoirs

Cited by 37 publications

References 40 publications

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Multi-Objective Reservoir Optimization Balancing Energy Generation and Firm Power

Environmental hedging: A theory and method for reconciling reservoir operations for downstream ecology and water supply

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