Browsing by Author "Castro, Ana C. Meira"
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- MIARforest Reproducibility and Reliability for Assessing Occupational Risks in the RainforestPublication . Lima, Killian; Castro, Ana C. Meira; Baptista, J. SantosThe Method for the Integrated Assessment of Risks for rainforest (MIARforest) is a specific methodology for assessing the risk of occupational accidents associated with working in native tropical forests. MIARforest was validated for the results’ reproducibility and the reliability of calculated risk levels through the Delphi approach. Two rounds of questionnaires illustrating ten scenarios of activities associated with the logging process in the Eastern Amazon’s native rainforest (Brazil) were presented to forestry and occupational health and safety (OHS) experts. In the first round, the questionnaire was answered anonymously by 55 experts, and in the second, by 46. A percentage of agreement of at least 80% in each question was considered to close the process. Questions that did not meet the criterion in the first round were reassessed in the second round. The obtained results lead to the conclusion that MIARforest, an occupational accident risk assessment tool, has been effectively validated, demonstrating inter-rater reproducibility and reliability in determining risk values. These results highlight the objectivity and reliability of MIARforest.
- Wood-Logging Process Management in Eastern Amazonia (Brazil)Publication . Lima, Killian S.; Castro, Ana C. Meira; Baptista, J. Santos; Silva, UlissesIn this work, the wood-logging process of four federal conservation units (FCUs) in the Eastern Amazonia forest are described and compared. The approach focused on on-site observation of activities and tasks performed during the process. As an outcome, it was observed that companies implement activities similarly, regardless of their specific know-how. The most significant difference was identified in the cross-cutting operation, which is carried out in several steps and which interferes with the efficiency of the activity and the exposure of workers to occupational risks. The use of geographic information systems (GIS) during planning and management activities, and the use of modern machinery equipped with safety devices, in combination with workers’ theoretic and practical continuous training, were identified as crucial measures that assure operational efficiency in the four companies assessed. Seeking to contribute to the sustainable development of the Amazon forest, a generic model for wood logging is proposed, which brings together best practices identified in the companies studied and makes it possible to obtain the best benefit at the lowest workers’ exposure to the risk of occupational accident