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Sökning: WFRF:(Lennox B)

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  • Holder, Peter E., et al. (författare)
  • Preparing for a changing future in recreational fisheries : 100 research questions for global consideration emerging from a horizon scan
  • 2020
  • Ingår i: Reviews in Fish Biology and Fisheries. - : Springer Science and Business Media LLC. - 0960-3166 .- 1573-5184. ; 30:1, s. 137-151
  • Forskningsöversikt (refereegranskat)abstract
    • Recreational fisheries hold immense ecological, social, and economic value. The management of these fisheries is increasingly important as we move forward in the Anthropocene. Recreational fisheries managers face several challenges as fisheries often involve diverse social and ecological systems comprised of complex feedback and stakeholder motivations and needs. Here, we used a horizon scanning exercise to yield 100 research questions related to recreational fisheries science and management in the Anthropocene. Initial research questions (n = 205) were collected from recreational fisheries experts (i.e., stakeholders, managers, researchers) from various sectors (i.e., industry, government, NGOs) and geographic locations (14 countries: Australia, Brazil, Canada, Czech Republic, Germany, Italy, New Zealand, Norway, South Africa, Spain, Sweden, Switzerland, United Kingdom, USA). These questions were subsequently categorized, thematized, and refined by our authorship team, eventually yielding what we considered to be the top 100 research questions of relevance to management of recreational fisheries. The key themes include: human dimensions; bioeconomics; resource monitoring and data acquisition; governance; management-regulatory actions; management-stock and habitat enhancement; catch-and-release; impacts of recreational fisheries on populations, communities and ecosystems; threats and sustainability; and angler outreach, education and engagement. It is our intention that this comprehensive and forward-looking list will create a framework to guide future research within this field, and contribute to evidence-based recreational fisheries management and policy.
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  • Sandberg, Erik, et al. (författare)
  • Multivariate process monitoring of EAFs
  • 2005
  • Ingår i: Ironmaking and Steelmaking. ; , s. 221-225
  • Konferensbidrag (refereegranskat)abstract
    • The application of a multivariate statistical process control (MSPC) to an EAF and the benefits that can be delivered was discussed. Several statistical methods for multivariate prediction were tested such as multiple linear regression (MLR), principal component regression (PCR) and partial least squares (PLS). The results show that PLS was the most suitable of the tested methods and the prediction accuracy for tramp elements and alloying elements were satisfactory for online predictions and condition monitoring of scrap properties. Monitoring of short and long term variations in scrap quality was possible by analysis of the prediction errors and regression coefficients.
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  • Sandberg, Erik, et al. (författare)
  • Scrap management by statistical evaluation of EAF process data
  • 2007
  • Ingår i: Control Engineering Practice. - : Elsevier BV. - 0967-0661 .- 1873-6939. ; 15:9, s. 1063-1075
  • Tidskriftsartikel (refereegranskat)abstract
    • The electric arc furnace (EAF) is a process for melting steel scrap with electricity. In this paper a method for estimating scrap properties based on the evaluation of historical process data is discussed and a series of scrap management strategies based on the estimated properties are suggested. Data from four Swedish EAFs have been analysed and on-line software applications have been developed and installed at one steel plant. The results from this study show that it is possible to use partial least squares to provide accurate estimates of the levels of impurity (Cu, Sn, As) and alloy content (Cr, Ni, Mo) in scrap grades. The degree of explained variation (R2) obtained in this study ranges between 40% and 70% for impurity elements and 70% and 100% for alloy elements. The mean prediction errors (RMSEE) are in some cases small enough to improve steel quality control in terms of chemical analysis. To ensure that the estimates remain consistent with scrap quality, it is suggested that the prediction models be updated on a regular basis. © 2007 Elsevier Ltd. All rights reserved.
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