42 research outputs found

    Early careers on ecohydraulics:Challenges, opportunities and future directions

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    Early career researchers (ECRs) play a critical role in our knowledge-based society, yet they are the most vulnerable group in the scientific community. As a young, interdisciplinary science, ecohydraulics is particularly reliant on ECRs for future progress. In 2014, the Early Careers on Ecohydraulics Network (ECoENet) was created to help the development of young researchers in this field. In this paper, we synthesize the outcomes of a workshop for ECRs organized by ECoENet in February 2016. We aim to show how the potential of ECRs can be maximized to drive progress in ecohydraulics. According to the most recent entrants to the field, major challenges lie in becoming more integrated as a discipline, developing a common vocabulary and a collective vision, engaging effectively with policy-makers, and encouraging public participation. ECRs need to develop their careers on an international scale in a way that crosses traditional disciplinary boundaries, including the social sciences, and allows them time to work at fundamental levels rather than focusing solely on individual applications. We propose a strategy to facilitate this by providing: a platform for disseminating research; an international support network; and a set of services for enhancing ECR training and experience. Early career researchers; interdisciplinary science; ecohydraulics; society; ecology; hydraulicsacceptedVersio

    Multi-criteria decision analysis in Bayesian networks-Diagnosing ecosystem service trade-offs in a hydropower regulated river

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    The paper demonstrates the use of Bayesian networks in multicriteria decision analysis (MCDA) of environmental design alternatives for environmental flows (eflows) and physical habitat remediation measures in the Mandalselva River in Norway. We demonstrate how MCDA using multi-attribute value functions can be implemented in a Bayesian network with decision and utility nodes. An object-oriented Bayesian network is used to integrate impacts computed in quantitative sub-models of hydropower revenues and Atlantic salmon smolt production and qualitative judgement models of mesohabitat fishability and riverscape aesthetics. We show how conditional probability tables are useful for modelling uncertainty in value scaling functions, and variance in criteria weights due to different stakeholder preferences. While the paper demonstrates the technical feasibility of MCDA in a BN, we also discuss the challenge

    Modeling the trade-off between production of Atlantic Salmon (Salmo salar) and power at Laudal Hydropower plant.

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    A modelling study on the trade-offs between the production of Atlantic salmon (Salmo salar) and the production of power at Laudal hydropower plant was conducted. The study examined the use of physical mitigation measures versus - and in addition to - changes in release of water. The study objective is an optimization of the environmental design through and downstream of the Bjelland and Laudal Hydropower plants in the Mandalselva River in Southern Norway, through demonstration and evaluation of a proposed methodology, to be used in other projects/rivers. The methodology is a tool for a) prediction of the potential trade-offs between smolt production and power generation b) evaluation of cost-effectiveness in smolt production and loss in power production (spill of water). At the end, as an additional point the data at Laudal will be compared with the results in the upstream bypass section at Bjelland reach, in order to see the effects in different stretches if the same mitigation measures are implemented

    Hydropower‐driven thermal changes, biological responses and mitigating measures in northern river systems

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    Water temperatures control life histories and diversity of aquatic species. Hydropowerregulation, particularly in high head systems, alters natural water temperature regimes,which may have profound and long-term impacts on aquatic environments. Tempera-tures in by-pass sections and reaches affected by residual/environmental minimum flowsfluctuate more than in natural flow regimes, driven more by influence of air tempera-tures. Reaches downstream of power plant outlets tend to become warmer in winter andcolder in summer, driven by stratification behind the reservoir dam. In hydro-peaked sys-tems high-low temperature effects may thus be aggravated. We review alterations ofhydropower to natural thermal regimes, impacts on key organisms in terms of survival,development and behavioral thresholds, and potential mitigation measures, with focus onAtlantic salmon and brown trout in high northern latitude stream systems. Previous syn-theses have focused mainly on flow changes and ecological impacts. Temperature effectsmay not always be correlated with flow changes, although there are some unique chal-lenges with temperature changes in far northern latitudes, for example, related to theseasonal and colder climates. To help knowledge-based management and identify poten-tial knowledge gaps, we review how hydropower regulation may impact seasonal watertemperatures, what impacts changes to stream system temperature regimes may have tokey organisms, for example, Atlantic salmon and brown trout, and what adaptations andbehavioral variations they may exhibit to respond to changed temperature regimes, andfinally what good practices can be recommended for mitigating temperature impacts.This synthesis indicates that there are impacts to the fish and their supporting food webs,in particular related to growth and development, and the potential for negative impactsseems higher, and better studied, than positive impacts in northern river systems. Someof these impacts may be modified by directed hydropower regulation practices, but hereeffect studies and knowledge are limited.publishedVersio
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