Risk assessment in conservation biology
In: Population and community biology series 12
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In: Population and community biology series 12
In: Sustainable Land Development and Restoration, S. 345-362
In: Metascience: an international review journal for the history, philosophy and social studies of science, Band 18, Heft 2, S. 297-300
ISSN: 1467-9981
In: International journal of mass emergencies and disasters, Band 3, Heft 2, S. 90-93
ISSN: 2753-5703
In: Journal of policy analysis and management: the journal of the Association for Public Policy Analysis and Management, Band 2, Heft 4, S. 660
ISSN: 1520-6688
The Federal Institute for Risk Assessment (BfR) has received data on dioxin findings in poul-try meat. The samples originate from poultry farms that received and fed contaminated corn feed. A total of 7 out of 11 samples were found to exceed the maximum legal level of dioxins in poultry. In the most highly contaminated samples, it was three times as high. Based on these data, BfR completed a risk assessment with regard to the consumption of this con-taminated poultry meat. Dioxins and polychlorinated biphenyls (PCBs) are environmental contaminants that humans mainly take in through foods of animal origin. Because dioxins and PCBs accumulate in the fatty tissue of humans, the daily intake should be kept to a minimum The occasional consumption of poultry meat analysed here is not expected to have any ad-verse health effects. BfR considers a limited exceedance of the tolerable weekly intake (TWI) in the special case of dioxin and PCB as tolerable for human health, provided that the aver-age intake over a longer period of time (e.g. one year) does not exceed the TWI. According to food legislation, poultry meat that exceeds the maximum legal levels is not mar-ketable and must not enter the market. In light of the precautionary principle of consumer protection, any additional dioxin and PCB burden should be minimised as much as possible. ; DE; de; efsa-focal-point@bfr.bund.de
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In: Berufsgenossenschaft Rohstoffe und Chemische Industrie
In: A, Allgemeine Themen 017e
In: Berufsgenossenschaft Rohstoffe und Chemische Industrie
In: A, Allgemeine Themen 017e
In: Berufsgenossenschaft Rohstoffe und Chemische Industrie : A, Allgemeine Themen 017e
In: Recent Advances in Computational Intelligence in Defense and Security; Studies in Computational Intelligence, S. 391-420
In: Possibility for Decision; Studies in Fuzziness and Soft Computing, S. 145-165
In: Annual Review of Clinical Psychology, Forthcoming
SSRN
In: Natural hazards and earth system sciences: NHESS, Band 11, Heft 1, S. 67-82
ISSN: 1684-9981
Abstract. In the framework of the German Indonesian Tsunami Early Warning System (GITEWS) the assessment of tsunami risk is an essential part of the overall activities. The scientific and technical approach for the tsunami risk assessment has been developed and the results are implemented in the national Indonesian Tsunami Warning Centre and are provided to the national and regional disaster management and spatial planning institutions in Indonesia. The paper explains the underlying concepts and applied methods and shows some of the results achieved in the GITEWS project (Rudloff et al., 2009). The tsunami risk assessment has been performed at an overview scale at sub-national level covering the coastal areas of southern Sumatra, Java and Bali and also on a detailed scale in three pilot areas. The results are provided as thematic maps and GIS information layers for the national and regional planning institutions. From the analyses key parameters of tsunami risk are derived, which are integrated and stored in the decision support system of the national Indonesian Early Warning Centre. Moreover, technical descriptions and guidelines were elaborated to explain the developed approach, to allow future updates of the results and the further development of the methodologies, and to enable the local authorities to conduct tsunami risk assessment by using their own resources.
This innovative guide addresses the probability of initiation, smoke movement and fire spread and the reliability of detection, human response and Fire Service intervention. The probabilistic techniques described use statistical information provided by actual fires, offering rational methods for dealing with the randomness of fire risk and effectiveness of fire safety measures.