Avaliação de risco do aterro controlado de Morretes – PR usando a metodologia RBCA

• Autor(a) principal: Porfirio, Bianca
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório do Centro Universitário Braz Cubas
• Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/2404
• topic: Contaminação do solo; Risco à saúde humana; Avaliação de risco; RBCA; Método de monte carlo; CNPQ::CIENCIAS BIOLOGICAS; CNPQ::ENGENHARIAS::ENGENHARIA SANITARIA

One of the most serious environmental problems we face today is the increasing generation of solid waste, because it can contaminate the environment when improperly disposed. The main problems related to these disposal areas are air, water and soil pollution as well as the proliferation of vectors, that causes hazards to human health. Within this context, this paper discusses the use of RBCA methodology for assessing risk in the Morretes controlled landfill area, and also aims to estimate a risk index related to the soil contamination, using the procedures provided by the Risk-Based Corrective Action Methodology (RBCA) and a probabilistic approach to risk assessment through the Monte Carlo Method. An initial assessment of concentrations observed in the study area was carried out, trying to compare these values with established concentration limits. After that, it was performed a deterministic risk assessment, using the RBCA Tool Kit for Chemical Releases software, Version 1.3b, for simulations of risk assessment scenarios. Finally, it carried out a probabilistic risk assessment, aiming to compare with the deterministic risk assessment and to study the effect of correlation between certain variables on the risk frequency distribution. The results from the deterministic approach showed the highest values of risk index and hazard index for the local exposure (on site). The results of probabilistic risk assessment showed that the adoption of the hypothesis of independence between body weight and inhalation rate (case 1) and body weight and water ingestion rate (case 2) would lead to more conservative decisions in relation to other values of correlation coefficient analyzed.