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Keywords = St Austell

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5 pages, 234 KiB  
Proceeding Paper
Preliminary Assessment of Social License to Operate (SLO) and Corporate Communication in Four European Lithium Projects
by Toni Eerola and Konstantinos Komnitsas
Mater. Proc. 2023, 15(1), 35; https://doi.org/10.3390/materproc2023015035 - 6 Nov 2023
Cited by 2 | Viewed by 2220
Abstract
Lithium, that is now exclusively produced outside the European Union (EU), is needed urgently for the green energy transition. The EU has promising lithium projects; however, the social license to operate (SLO) is important for their long-term viability. In this paper, four lithium [...] Read more.
Lithium, that is now exclusively produced outside the European Union (EU), is needed urgently for the green energy transition. The EU has promising lithium projects; however, the social license to operate (SLO) is important for their long-term viability. In this paper, four lithium projects are preliminary assessed using data from the literature and media regarding their SLO. The projects that aim for hard rock lithium production are (i) the Rapasaari project owned by Sibanye-Stillwater Keliber Oy in Kaustinen, western Finland, (ii) the Mina do Barroso project, owned by Savannah Resources, in northern Portugal, (iii) the St. Austell project, owned by Cornish Lithium plc, in Cornwall, UK, and (iv) the Emili project, owned by Imerys, in Beauvoir (Allier) in western France. The respective corporate websites were searched, regarding their languages while the companies’ SLO approaches and strategies were also analyzed. Full article
24 pages, 2640 KiB  
Article
Assessing the Impact of Seasonal Population Fluctuation on Regional Flood Risk Management
by Alan Smith, Andy Newing, Niall Quinn, David Martin, Samantha Cockings and Jeffrey Neal
ISPRS Int. J. Geo-Inf. 2015, 4(3), 1118-1141; https://doi.org/10.3390/ijgi4031118 - 9 Jul 2015
Cited by 12 | Viewed by 8070
Abstract
Human populations are not static or uniformly distributed across space and time. This consideration has a notable impact on natural hazard analyses which seek to determine population exposure and risk. This paper focuses on the coupling of population and environmental models to address [...] Read more.
Human populations are not static or uniformly distributed across space and time. This consideration has a notable impact on natural hazard analyses which seek to determine population exposure and risk. This paper focuses on the coupling of population and environmental models to address the effect of seasonally varying populations on exposure to flood risk. A spatiotemporal population modelling tool, SurfaceBuilder247, has been combined with LISFLOOD-FP flood inundation model outputs for a study area centred on the coastal resort town of St Austell, Cornwall, United Kingdom (UK). Results indicate strong seasonal cycles in populations and their exposure to flood hazard which are not accounted for in traditional population datasets and flood hazard assessments. Therefore, this paper identifies and demonstrates considerable enhancements to the current handling of spatiotemporal population variation within hazard exposure assessment and disaster risk management. Full article
(This article belongs to the Special Issue Geoinformation for Disaster Risk Management)
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