A scenario-based approach to evaluating potential environmental impacts following a tidal barrage installation

Kidd, Ian M.; Fischer, Andrew M.; Chai, Shuhong; Davis, Jenny

doi:10.1016/j.ocecoaman.2015.06.016

Cited by 18 publications

(5 citation statements)

References 35 publications

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“…3b) are considered unstable for receiving loads from dam structures. These characteristics corroborate the results found by Kidd et al (2015) and Neto et al (2011); the former found that the closer a TPP is located to the mouth, the greater the loss of tidal prism and estuarine biodiversity. The latter verified that the installation of TPPs in abundant mangrove areas can become unviable.…”

Section: Application Of the Eip To The Arcsupporting

confidence: 91%

“…For the determination and collection of environmental data based on studies that evaluated the environmental impacts generated by TPPs (Brinckerhoff 2010;Hooper and Austen 2013;Morris 2013;Kidd et al 2015), the following environmental components were selected: slope, land use, pedology, vegetation, geomorphology and geology. These components were acquired in shapefile format in the portal of the Instituto Brasileiro de Geografia e Estatística (IBGE).…”

Section: Methodsmentioning

confidence: 99%

“…Brazil does not have any, but studies have evaluated the energy potential (Ferreira and Estefen 2009;Leite Neto et al 2015;Shadman et al 2019;Czizeweski et al 2020). According to Kidd et al (2015), coastal regions are the places that have the greatest energy potentials; however, they are environmentally fragile. The installation of TPPs in these areas, without concern for the environment, can cause irreparable damage.…”

Section: Introductionmentioning

confidence: 99%

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Environmental impact index for tidal power plants in amazon region coast

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Cruz

et al. 2020

Environ Dev Sustain

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In some coastal areas, tidal ranges represent an important energy potential. This energy is harnessed through tidal power plants (TPPs), which cause environmental impacts during the construction and operation phases. The objective is to propose an environmental impact potential (EIP) index to be used as a tool to select suitable areas for the installation of TPPs. The EIP is based on a combination of geographic information systems and multicriteria analysis, which take into account the degrees of vulnerability of the following environmental variables: land use, geomorphology, geology, slope, pedology and vegetation. The results showed that the EIP values in most areas of the Amazon region coast decrease from north to south, and 15% of the areas had low EIP values because they are farther from estuaries, which are technically better for the implementation of TPPs. In the rest of the region, 82% of the areas have average EIP values, and 3% have high EIP values. These areas are near the mouth and are more susceptible to erosion and flooding. In this case, the environmental impact is greater in relation to those of areas with the greatest river influence. Thus, from an environmental point of view, the EIP index has proven to be a preliminary and simple application assessment tool for choosing the best area for TPP installation for the sustainable use of natural resources.

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Section: Application Of the Eip To The Arcsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Environmental impact index for tidal power plants in amazon region coast

Progênio

Blanco

Cruz

et al. 2020

Environ Dev Sustain

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“…considering the massive infrastructure investments they require and their potential 703 environmental impact [345]. For example, large-scale tidal barrages are being re-appraised 704 in the UK, through opposition from the Environment Agency and other groups appears to 705 20 La Rance in France (1966) is the earliest such example and is still operational today.…”

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confidence: 99%

Renewable energy and biodiversity: Implications for transitioning to a Green Economy

Gasparatos

Doll

Esteban

et al. 2017

Renewable and Sustainable Energy Reviews

346

223

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This extensive literature review identifies the impacts of different renewable energy 9 pathways on ecosystems and biodiversity, and the implications of these impacts for 10 transitioning to a Green Economy. While the higher penetration of renewable energy is 11 currently a backbone of Green Economy efforts, an emerging body of literature 12 demonstrates how the renewable energy sector can affect ecosystems and biodiversity. The 13 current review synthesizes the existing knowledge at the interface of renewable energy and 14 biodiversity accross the five drivers of ecosystem change and biodiversity loss of the 15 Millennium Ecosystem Assessment (MA) framework (i.e. habitat loss/change, pollution, 16 overexploitation, climate change and introduction of invasive species). It identifies the main 17 impacts and key mechanisms for a number of different renewable energy pathways, 18 including solar, wind, hydro, ocean, geothermal and bioenergy. Our review demonstrates 19 that while all reviewed renewable energy pathways are associated (directly or indirectly) 20 with all of the five MA drivers of ecosystem change and biodiversity loss, the actual 21 mechanisms of impact depend significantly between the different pathways (and the 22 environmental contexts within which they operate). We put these findings into perspective 23 by illustrating major knowledge/practices gaps and policy implications at the interface of 24 renewable energy, biodiversity conservation and the Green Economy.

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“…The shape and size of modern-day estuaries therefore represent the adjustment to longer-term, larger-scale effects together with more recent, anthropogenic impacts from urban development and engineering structures [10]. As sea level is predicted to rise between 0.3 and 1.0 m within the next century [11] and the coastal population is anticipated to reach approximately six billion by 2025 [1], engineering structures and land reclamation projects are also expected to further increase within estuaries globally [12,13]. To determine how current and future anthropogenic alterations influence estuarine evolution, it is essential to understand estuarine systems that have already undergone such changes and their processes.…”

Section: Introductionmentioning

confidence: 99%

MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast

et al. 2021

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The rapid advance of remote sensing technology during the last few decades provides a new opportunity for measuring detectable estuarine spatial change. Although estuarine surface area and convergence are important hydraulic parameters often used to predict long-term estuarine evolution, the majority of automated analyses of channel plan view dynamics have been specifically written for riverine systems and have limited applicability to most of the estuaries in the world. This study presents MorphEst, a MATLAB-based collection of analysis tools that automatically measure estuarine planform geometry. MorphEst uses channel masks to extract estuarine length, convergence length, estuarine shape, and areal gain and loss of estuarine surface area due to natural or human factors. Comparisons indicated that MorphEst estimates closely matched with independent measurements of estuarine surface area (r = 0.99) and channel width (r = 0.92) of 39 estuaries along the South Korean coast. Overall, this toolbox will help to improve the ability to solve research questions commonly associated with estuarine evolution as it introduces a tool to automatically measure planform geometric features from remotely sensed imagery.

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A scenario-based approach to evaluating potential environmental impacts following a tidal barrage installation

Cited by 18 publications

References 35 publications

Environmental impact index for tidal power plants in amazon region coast

Environmental impact index for tidal power plants in amazon region coast

Renewable energy and biodiversity: Implications for transitioning to a Green Economy

MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast

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