Dissertações em Gestão de Riscos e Desastres Naturais na Amazônia (Mestrado) - PPGGRD/IG
URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/9944
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Navegando Dissertações em Gestão de Riscos e Desastres Naturais na Amazônia (Mestrado) - PPGGRD/IG por Orientadores "ROCHA, Edson José Paulino da"
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Item Acesso aberto (Open Access) Índice de impactos de desastres: critérios para a declaração e reconhecimento de situação de anormalidade.(Universidade Federal do Pará, 2018-04-26) FREITAS, Bruno Pinto; ROCHA, Edson José Paulino da; http://lattes.cnpq.br/2313369423727020The study proposed to parameterize the impacts of disasters caused by floods, which partially or substantially compromise the local government's response capacity, assisting protection technicians and civil defense, in their field activities, to support the processes of recognition emergency situation (SE) and the state of public calamity (ECP), as well as managers and analysts to make decisions through objective data that, related to each other, can express mathematically impact of the event. Normative Instruction nº 002 / MI does not clearly and objectively state the criteria for decreasing and recognizing abnormality situations. The equation known as the Disaster Impact Indicator is derived from the variables adopted from the congregation and mathematical and statistical artifacts, from consolidated data related to Disaster and Risk Management, such as quantitative human damages, material damages, economic losses, in addition to rates of precipitation and vulnerability, as well as the capacity of confrontation of the local public power. In the State of Pará hydrological disasters correspond to 80% of the occurrences of these 30% are the floods, affecting more than 50 thousand people in 26 years of records, occurring mainly in the period known as Amazonian winter. The city of Monte Alegre / PA was the most affected, with 5 flood records only in the last 3 years, 2 of which were recognized due to an emergency situation. The proposed equation serves as a substrate for the creation of regulations, which deal with criteria for recognition of local response capacity impairment, which will standardize actions in damage and loss assessments, and may be implemented at the national level, for flood disasters, using the relative attributes in each variable, according to the reality of each State.Item Acesso aberto (Open Access) Influência da precipitação na atividade de beneficiamento de caulim em Barcarena-Pa e seus impactos socioambientais.(Universidade Federal do Pará, 2018) LEMOS, Marcos Antonio de Queiroz; PIMENTEL, Márcia Aparecida da Silva; http://lattes.cnpq.br/3994635795557609; ROCHA, Edson José Paulino da; http://lattes.cnpq.br/2313369423727020Mining in the Stateof Pará occupies a prominent position in the regional and national economies. Although it is installed and operating in compliance with the due process of environmental licensing, mining activity of great degradation potential has been causing environmental disasters and social problems. This work analyzes the polluting events occurring in the period from 2004 to 2016, due to the leakage of tailings and kaolin ore bodies in the Dendê river, Curuperé and Maricá streams, to the Marajó Bay, and the influence of precipitation on the activity of kaolin processing and its social and environmental impacts. The research was based on reports of Police investigations in the Specialized Division of the Environmentof the Civil Police of Pará, expert reports of the Institute of Criminology of the Center for Scientific Expertise Renato Chaves, reports of the Evandro Chagas Institute of the Ministry of Health and the Laboratory of Analytical and Environmental Chemistry of the UFPA, in which authors and materiality were identified, the communities and water bodies affected and the social and environmental impacts resulting from the polluting events. From a descriptive and analytical approach of these events, the socio-environmental impacts were identified, the accelerated growth of the urban population from the installation of the industrial enterprises; the constant damages in the riverside communities located around the mining company; the expansion of areas of environmental risk with the expansion of mining activity in the region and the successive pollution of water resources.Item Acesso aberto (Open Access) Modelagem hidrológica para extremos de inundações e secas para o município de Boa Vista em Roraima.(Universidade Federal do Pará, 2018-09-24) CARVALHO, Adriana Alves de; ROCHA, Edson José Paulino da; http://lattes.cnpq.br/2313369423727020The present research is based on statistical methods applied as an analysis tool in the study of the interaction between ocean and atmosphere in the up and down behavior of the Branco river in Boa Vista. Individual associations for years of floods and droughts conditioned to the oceanic component, evaluated by Sea Surface Temperature (SST) in the monitored areas of Niño 1 + 2, Niño 3.4, Niño 3, Niño 4 and North Atlantic Tropical (ATN); (PD) and Tahiti (PT) regions were evaluated through the acquisition of monthly climatic data from the Climate Prediction Center in 1982-2016. These associations aimed to investigate if these areas present favorable indicatives for extreme years of floods and droughts. Significant correlations were found above 0.5 in most flood and drought events in the following areas: Niño 1 + 2, Tropical Atlantic North, both with a lag time of 4 months, and the Darwin and Tahiti regions, but the effects of these variables to change the fluviometric regime of the White River in Boa Vista is 6 months. This information obtained through the calculation of the correlation coefficient (r) allowed the use of the Least Squares Method to model the prediction of the variability of flood and drought events induced by the seasonality of the Branco river. The long-term trends and numerical oscillations reproduced by the model for both scenarios were compared with the level measurements for the period 2011-2016. The results showed good performance of the model, with a percentage error of 30% for the prediction of drought events and 34% for those of floods, thus indicating that the selected input components exert a great contribution in the predictability of hydrological extremes in Boa Vista. Given this, it is suggested that this study can become operational in the monitoring centers of the state of Roraima, as a tool to support planning actions in the period of floods and droughts.Item Acesso aberto (Open Access) Sistema hidrológico para previsão de risco na Amazônia utilizando redes neurais.(Universidade Federal do Pará, 2019-03-02) PERES, Victor da Cruz; ROCHA, Edson José Paulino da; http://lattes.cnpq.br/2313369423727020The estimation of the future behavior of the levels of a river basin is fundamental for the elaboration of the plan of management of its water resources. The objective of this research was to model the relationship between rainfall and level through a technique known as artificial neural networks (RNA). RNAs are empirical models with functions similar to the functioning of the human brain. In this research, the ability of RNA to model the rain-level process on a daily basis was evaluated. Influences of network architecture, initialization of weights, and extension of data series were considered during RNA training. The five RNAs that produced the best results were confronted with the observed results. The results were very satisfactory. Finding in a dry and full alert system in Itaituba-Pa.