Integrated system of occupational safety and health and fire protection of the fire rescue brigades members

The objective of the conducted research is the identification and determination of requirements of members of fire rescue brigades during operations in the conditions of high risk in order to minimize the possibilities for injury incidence during the intervention. The research is focused on examination, determination and identification of factors affecting the increasing number of occupational injuries of members of fire rescue brigades during interventions. Hypothetical framework of the research problem consists of general hypothesis and six special hypotheses. Results suggest that almost all respondents believe that their skills and abilities are applicable in the intervention phase, but less than a half believe that their skills are applicable in prevention phase. Two-thirds of respondents stated that in their organization they have support for further education and upgrading while a half of respondents stated that they need education concerning identification, assessment and management of risks that can lead to emergency situations.     

Challenges and opportunities for pre-crisis emergency risk communication: lessons learned from the earthquake community

Abstract

Prior to the 2009?L’Aquila event, earthquake forecasting and early warning research focused specifically on earthquakes as the crisis events. Although this is still true, the manslaughter convictions of six earthquake scientists and one public official for failed risk communication in 2009 served as a catalyst for expanding these goals to also intentionally examine the challenges of communicating earthquake risk with non-scientific during the pre-crisis stage of the earthquake lifecycle. The Crisis Emergency Risk Communication (CERC) Model developed by the US Centers for Disease Control and Prevention (CDC) provides specific guidelines for doing so. Thus, based on a thematic analysis of interviews with 21 earthquake scientists, this study identifies what those responsible for communicating regularly about earthquake risk see as major communication challenges and the extent to which the CERC model recommendations are useful for addressing them. Results suggest that earthquake risk science communicators are most effective when they translate scientific and technical information simply, respond to competing messages, capitalize on relevant popular culture references, employ risk communication campaigns during ‘quiet periods’, and acknowledge uncertainty. These findings have implications not only for earthquake science risk communicators, but also for expanding the pre-crisis stage best practices proposed in the Crisis Emergency Risk Communication (CERC) model. Essentially, this study reveals that soliciting and responding to feedback in the pre-crisis stage could help spokespersons clarify or correct any messages that are perceived by audiences as unclear or are simply not accurate. Doing so may improve risk communication effectiveness not only during the pre-crisis stage but also throughout the earthquake crisis lifecycle.     

Preference Uncertainty in Non-Market Valuation: A Fuzzy Approach

In this article, we consider uncertain preferences for non-market goods, but we move away from a probabilistic representation of uncertainty and propose the use of fuzzy contingent valuation. We assume that a decision maker never fully knows her own utility function and we treat utility as a fuzzy number. The methodology is illustrated using data on forest valuation in Sweden. Fuzzy contingent valuation provides estimates of resource value in the form of a fuzzy number and includes estimates obtained using a standard probabilistic approach.     

Boreal Forest Carbon Sequestration Strategies: A Case Study of the Little Red River Cree First Nation Land Tenures*

In this paper, creation of carbon offset and emission reduction credits are examined from the perspective of the Little Red River Cree Nation (LRRCN), a forest tenure holder in northern Alberta. Carbon credits are produced under three scenarios: (1) carbon uptake in forest ecosystems, with postharvest waste left on site; (2) carbon uptake in forests and products; and (3) carbon uptake in forests with harvested fiber used for energy production. A mathematical programming model is used to solve for the minimum prices that cause the LRRCN to include production of carbon credits in its forest management and post‐harvest processing strategies. If LRRCN is paid according to its costs of creating carbon credits, it will opt to use fiber for forest products as this provides the greatest earning potential. If LRRCN faces a fixed price for carbon credits, it will produce fiber for generating electricity in lieu of coal as this strategy has the lowest average cost. However, when costs of feedstock transportation and construction of a power plant are taken into account, carbon uptake in biomass and forest products turn out to be more competitive.