Integrating mobile bed numerical modelling into reservoir planning operations: the case study of the hydroelectric plant in Isola Serafini (Italy)

Bernardi, Dario; Bizzi, Simone; Denaro, Simona; Dinh, Quang Minh; Pavan, Sara; Schippa, Leonardo; Soncini-Sessa, Rodolfo

doi:10.2495/ws130061

Cited by 8 publications

(10 citation statements)

References 12 publications

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“…This reach has been significantly affected by riverbed degradation in the past and has a strategic role for navigation and flood defense. Our choice is also supported by the findings of Bernardi et al [2013], which have shown that this reach is the most sensitive to IS operation. Toward this aim, we refer to a complete historical time series of water inflows from 1964 to 1973 recorded at Piacenza, and at the relevant tributaries.…”

Section: The Case Study: the River Po And The Isola Serafini Hp Plantsupporting

confidence: 53%

“…Our choice is also supported by the findings of Bernardi et al . [], which have shown that this reach is the most sensitive to IS operation. Toward this aim, we refer to a complete historical time series of water inflows from 1964 to 1973 recorded at Piacenza, and at the relevant tributaries.…”

Section: The Case Study: the River Po And The Isola Serafini Hp Plantmentioning

confidence: 99%

“…The main results have been analyzed in Bernardi et al . []. The approximation of the RS can be derived as a function

\overset{truê}{bold-italicJ} : {scriptR}^{4} \to {scriptR}^{2}

that describes the relation between the four elements of the vector

bold-italicθ

and the corresponding values of the two objectives vector J hp and J inc , then.…”

Section: Scheme A: Feedforward Controlmentioning

confidence: 99%

“…This relatively high number of simulations was necessary to test the model performance for the case study and to understand the system behavior initially. The main results have been analyzed in Bernardi et al [2013]. The approximation of the RS can be derived as a functionĴ : R 4 !…”

Section: 1002/2014wr016237mentioning

confidence: 99%

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On the control of riverbed incision induced by run‐of‐river power plant

Bizzi

Dinh

Bernardi

et al. 2015

Water Resources Research

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Water resource management (WRM) through dams or reservoirs is worldwide necessary to support key human-related activities, ranging from hydropower production to water allocation and flood risk mitigation. Designing of reservoir operations aims primarily to fulfill the main purpose (or purposes) for which the structure has been built. However, it is well known that reservoirs strongly influence river geomorphic processes, causing sediment deficits downstream, altering water, and sediment fluxes, leading to riverbed incision and causing infrastructure instability and ecological degradation. We propose a framework that, by combining physically based modeling, surrogate modeling techniques, and multiobjective (MO) optimization, allows to include fluvial geomorphology into MO optimization whose main objectives are the maximization of hydropower revenue and the minimization of riverbed degradation. The case study is a run-of-the-river power plant on the River Po (Italy). A 1-D mobile-bed hydro-morphological model simulated the riverbed evolution over a 10 year horizon for alternatives operation rules of the power plant. The knowledge provided by such a physically based model is integrated into a MO optimization routine via surrogate modeling using the response surface methodology. Hence, this framework overcomes the high computational costs that so far hindered the integration of river geomorphology into WRM. We provided numerical proof that river morphologic processes and hydropower production are indeed in conflict but that the conflict may be mitigated with appropriate control strategies.

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Section: The Case Study: the River Po And The Isola Serafini Hp Plantsupporting

confidence: 53%

Section: The Case Study: the River Po And The Isola Serafini Hp Plantmentioning

confidence: 99%

“…The main results have been analyzed in Bernardi et al . []. The approximation of the RS can be derived as a function

\overset{truê}{bold-italicJ} : {scriptR}^{4} \to {scriptR}^{2}

that describes the relation between the four elements of the vector

bold-italicθ

and the corresponding values of the two objectives vector J hp and J inc , then.…”

Section: Scheme A: Feedforward Controlmentioning

confidence: 99%

Section: 1002/2014wr016237mentioning

confidence: 99%

See 2 more Smart Citations

On the control of riverbed incision induced by run‐of‐river power plant

Bizzi

Dinh

Bernardi

et al. 2015

Water Resources Research

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“…The physical constraints for the variables are given by the MEF in the meander, the minimum and maximum flow through the turbines and the safety limit against flood risk. Starting from the business as usual (BAU) simulation, representing the normal hydropower functioning, many different alternative operating rules have been run (Bernardi et al 2013) to analyse the sensitivity of the system to the management of the hydropower plant. The results showed the feasibility of the model to represent geomorphodynamic river processes in the presence of a stationary riparian vegetation condition.…”

Section: Model Application: the Case Of The Po River (Italy)mentioning

confidence: 99%

River, delta and coastal morphological response accounting for biological dynamics

Goldsmith¹,

Bernardi

Schippa

2015

Proc. IAHS

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Management and construction can increase resilience in the face of climate change, and benefits can be enhanced through integration of biogenic materials including shells and vegetation. Rivers and coastal landforms are dynamic systems that respond to intentional and unintended manipulation of critical factors, often with unforeseen and/or undesirable resulting effects. River management strategies have impacts that include deltas and coastal areas which are increasingly vulnerable to climate change with reference to sea level rise and storm intensity. Whereas conventional assessment and analysis of rivers and coasts has relied on modelling of hydrology, hydraulics and sediment transport, incorporating additional biological factors can offer more comprehensive, beneficial and realistic alternatives. Suitable modelling tools can provide improved decision support. The question has been whether current models can effectively address biological responses with suitable reliability and efficiency. Since morphodynamic evolution exhibits its effects on a large timescale, the choice of mathematical model is not trivial and depends upon the availability of data, as well as the spatial extent, timelines and computation effort desired. The ultimate goal of the work is to set up a conveniently simplified river morphodynamic model, coupled with a biological dynamics plant population model able to predict the long-term evolution of large alluvial river systems managed through bioengineering. This paper presents the first step of the work related to the application of the model accounting for stationary vegetation condition. Sensitivity analysis has been performed on the main hydraulic, sedimentology, and biological parameters. The model has been applied to significant river training in Europe, Asia and North America, and comparative analysis has been used to validate analytical solutions. Data gaps and further areas for investigation are identified.

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Remote sensing assessment of anthropogenic and climate variation effects on river channel morphology and vegetation: Impact of dry periods on a European piedmont river

Nones,

Guerrero,

Schippa

et al. 2024

Earth Surf Processes Landf

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Rivers are subject to increasing human pressure, resulting in a loss of their natural characteristics, further enhanced by climate change. The present study focuses on a piedmont reach of the Italian Po River and combines Landsat satellite information with hydrological records to investigate changes in sandbars exposure and riparian vegetation coverage, considering the summer period of 1984–2022. Satellite data were handled via Google Earth Engine, looking at common indexes such as the Modified Normalized Difference Water Index, which was used to identify temporal variations in wetted channel area, and the Normalized Difference Vegetation Index, considered as a proxy of vegetation coverage variations. Changes in the river hydrology were analysed by looking at the annual minimum water levels, the discharge duration curve, the stage–discharge relationship and the yearly annual water volume. Results suggest that a process of oversimplification is affecting this reach of the Po River, showing how climate change can affect piedmont European watercourses. Indeed, after an initial period where bars tended to be barer and somehow stable over time, in the most recent decade a different trend appeared, with vegetation able to colonize the exposed sandbars more. Using the Po River as an exemplary case study, this work suggests that prolonged dry periods, which are more common in recent decades, might impact large and medium rivers located in temperate climates, favouring the development of vegetation on exposed sandbars, eventually resulting in a less dynamic active channel.

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Integrating mobile bed numerical modelling into reservoir planning operations: the case study of the hydroelectric plant in Isola Serafini (Italy)

Cited by 8 publications

References 12 publications

On the control of riverbed incision induced by run‐of‐river power plant

On the control of riverbed incision induced by run‐of‐river power plant

River, delta and coastal morphological response accounting for biological dynamics

Remote sensing assessment of anthropogenic and climate variation effects on river channel morphology and vegetation: Impact of dry periods on a European piedmont river

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