Modelagem matemática e simulação computacional de derrames de óleo em corpos d'água: um estudo de caso na região do Porto de Santos

The objective of this work is to accomplish studies of mathematical modeling and computational simulation of oil spills in water bodies. For this reason, a case study in the region of the Port of Santos was developed using the softwares SisBAHIA and ADIOS2 for the simulation of different hypothetical scenarios of oil spilling on the surface of water, aiming to obtain information that contribute to the reduction of the possible environmental impacts that can be caused by such accidents. The results generated in the different simulations had shown that the obtained data can be extremely useful to subsidize the elaboration of mitigation plans, the mapping of risk areas or even the proposal of emergencial strategies in cases of real accidents, configuring the modeling and the simulation as important and modern tools for the environmental planning and management.

Chuva, vulnerabilidade social e percepção do risco na cidade de São Paulo: impactos de eventos extremos nos bairros da Freguesia do Ó e do M’Boi Mirim

The city of São Paulo has, since the beginning of the expansion of its urban sprawl, represented relations of conflicts and contradictions between society and nature. Once the way society relates to nature is defined by how the social agents themselves correlate in certain social and historical contexts, the ways of interaction between the social and natural elements will be different according to the forms of production and appropriation of the urban space. Even more evident is the case of the great national metropolis, given its demographic dimensions and historical conditions, the process of urban expansion follows a logic where spaces of better quality for housing are occupied by those of better financial conditions. Thus, although there are exceptions, the poorest people live in places less desirable, in less resilient environments of lower environmental quality, relating to nature and its phenomena with greater risks. These risks are reflected here as recurring flooding, mudslides and landslides for which the rain is constantly blamed. So we have a situation where it is clear that a weather phenomenon differently interacts with different social groups. In this context, the study was conducted to compare extreme events occurred in two regions of São Paulo: the Freguesia do O, in the north side, and M'Boi Mirim, in the south side. Both are regions with large number of risk areas and are in the same urban climate unit. However, they present different conditions of social vulnerability. With the investigation of each extreme rain event occurred in the two regions, in the period of 2000-2010, supplemented by field research, we tried to observe how far the rain, with his intensity and volume, can, in fact, be related to the accidents.

Uso e ocupação da terra e vulnerabilidade a alagamento na área central da cidade de São Paulo: o caso da subprefeitura Sé

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Metodologia para identificação de áreas de risco e prioritárias para conservação da avifauna na bacia hidrográfica do rio Una, Ibiúna/SP

Pós-graduação em Ciências Ambientais - Sorocaba

Análise de agrupamentos para o reconhecimento de padrões de infestação de aracnídeos em zonas urbanas

Pós-graduação em Biociências - FCLAS

Mapeamento de ocorrências de eventos perigosos no município de Santos SP: integração com dados de vulnerabilidade socioambiental

This study is based on the mapping of occurrences associated with social vulnerability and natural risks, which refer to the resilience of populations and territories, regarding natural hazards associated with the functioning of natural systems (eg, earthquakes, flood, mass movements). According to UNISDR (2014), the state of São Paulo is a reference in working with Urban Resilience and Disaster in the Resilient Cities Campaign (2014), considering the high investment in Risk Areas Mapping and Public Education Campaigns implemented by the Civil Defense. Thus, this study aims to mapping the occurrence of events related to Tree Falls, Erosion, Landslides, Irregular Housing, Rocky Blocks Falls, Wall Falls, Unroofing and Irregular Construction, attended by the Civil Defense in the city of Santos, São Paulo State, from 2011 to 2014. Thereafter, correlated analyzes to the Environmental Vulnerabilities were generated. The Environmental Vulnerability databases used in this dissertation compose the results of the CNPQ Project - Environmental Vulnerability Mapping of the State of Sao Paulo - Brazil: a methodological contribution of Freitas (2013) and Bortolettoet al (2014), with information collected from the 2010 Census (IBGE, 2010), on a census sectors scale. The adopted methodological procedure involves document analysis followed by data integration in Geographic Information System, through algorithms analysis and mapscrossing.The results obtained in Maps of Social and Environmental Vulnerability Occurrences presented areas of High or Very High Vulnerability. The main variables obtained with such characteristics are Irregular Housing, Landslides and Rocky Blocks Falls, which was associated with hilly terrain formations, with slopes above 30%. To the areas of Medium, Low and Very Low Vulnerability were associated the variables Tree Falls, Wall Falls, Erosion, Unroofing and Irregular Construction, which are spatially distributed without an...

Caracterização clínica epidemiológica e geográfica da hanseníase em município hiperendêmico do Brasil

Pós-graduação em Saúde Coletiva - FMB

Transfer function-noise modeling and spatial interpolation to evaluate the risk of extreme (shallow) water-table levels in the Brazilian Cerrados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Semiparametric modeling of the spatial distribution of occupational accident risk in the casual labor market, Piracicaba, southeast Brazil

The objective of this study was to estimate the spatial distribution of work accident risk in the informal work market in the urban zone of an industrialized city in southeast Brazil and to examine concomitant effects of age, gender, and type of occupation after controlling for spatial risk variation. The basic methodology adopted was that of a population-based case-control study with particular interest focused on the spatial location of work. Cases were all casual workers in the city suffering work accidents during a one-year period; controls were selected from the source population of casual laborers by systematic random sampling of urban homes. The spatial distribution of work accidents was estimated via a semiparametric generalized additive model with a nonparametric bidimensional spline of the geographical coordinates of cases and controls as the nonlinear spatial component, and including age, gender, and occupation as linear predictive variables in the parametric component. We analyzed 1,918 cases and 2,245 controls between 1/11/2003 and 31/10/2004 in Piracicaba, Brazil. Areas of significantly high and low accident risk were identified in relation to mean risk in the study region (p < 0.01). Work accident risk for informal workers varied significantly in the study area. Significant age, gender, and occupational group effects on accident risk were identified after correcting for this spatial variation. A good understanding of high-risk groups and high-risk regions underpins the formulation of hypotheses concerning accident causality and the development of effective public accident prevention policies.

A simple approach to integrate the ecotoxicological and chemical data for the establishment of environmental risk levels

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

An investigation of Leishmania spp. in Didelphis spp. from urban and peri-urban areas in Bauru (São Paulo, Brazil)

Blood and bone marrow samples were taken from 112 Didelphis spp., collected between March 2005 and February 2006, from urban and peri-urban areas of Bauru, São Paulo State, Brazil, to evaluate the hypothesis that these animals might constitute a reservoir of Leishmania spp. Anti-Leishman ia ssp. antibodies were screened in the serum samples using an enzyme-linked immuno-sorbent assay (ELISA) and the polymerase chain reaction (PCR). PCR was performed on fragments of DNA samples from Leishmania spp. using primers 13A and 13B, and showed a positive outcome in 91.6% of the 112 samples tested. of the 107 samples analyzed by ELISA, 71 % were positive. Evidence of epidemiological risk factors such as a circulating parasite and freely moving vectors suggests that Didelphis spp. may participate in the transmission cycle of Leishmania spp. in Bauru. (c) 2007 Elsevier B.V. All rights reserved.

O paciente com infecção de vias aéreas superiores. Quando anestesiar?

JUSTIFICATIVA E OBJETIVOS: Anestesiar, com segurança, a criança com infecção de vias aéreas superiores (IVAS) constitui um dos grandes desafios do anestesiologista. A finalidade deste artigo é discutir a validade de anestesiar e quando anestesiar a criança com IVAS. CONTEÚDO: Estão ressaltados a importância da história clínica na investigação pré-operatória, os fatores que contribuem para o aparecimento de complicações no per e no pós-operatório, assim como o tipo de cirurgia e a técnica anestésica que favorecem estas complicações. CONCLUSÕES: O conhecimento das alterações no trato respiratório que acontecem após IVAS, da importância da avaliação correta da gravidade dos sintomas, dos fatores que podem contribuir para o aparecimento de complicações e da melhor técnica anestésica possibilita a seleção de pacientes com menor risco de desenvolver complicações no período per-operatório.

Levels of selected persistent organic pollutants in blood from delivering women in seven selected areas of São Paulo State, Brazil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Spatial Distribution of Seropositive Dogs to Leptospira spp. and Evaluation of Leptospirosis Risk Factors Using a Decision Tree

Background: Leptospirosis is an important zoonotic disease associated with poor areas of urban settings of developing countries and early diagnosis and prompt treatment may prevent disease. Although rodents are reportedly considered the main reservoirs of leptospirosis, dogs may develop the disease, may become asymptomatic carriers and may be used as sentinels for disease epidemiology. The use of Geographical Information Systems (GIS) combined with spatial analysis techniques allows the mapping of the disease and the identification and assessment of health risk factors. Besides the use of GIS and spatial analysis, the technique of data mining, decision tree, can provide a great potential to find a pattern in the behavior of the variables that determine the occurrence of leptospirosis. The objective of the present study was to apply Geographical Information Systems and data prospection (decision tree) to evaluate the risk factors for canine leptospirosis in an area of Curitiba, PR.Materials, Methods & Results: The present study was performed on the Vila Pantanal, a urban poor community in the city of Curitiba. A total of 287 dog blood samples were randomly obtained house-by-house in a two-day sampling on January 2010. In addition, a questionnaire was applied to owners at the time of sampling. Geographical coordinates related to each household of tested dog were obtained using a Global Positioning System (GPS) for mapping the spatial distribution of reagent and non-reagent dogs to leptospirosis. For the decision tree, risk factors included results of microagglutination test (MAT) from the serum of dogs, previous disease on the household, contact with rats or other dogs, dog breed, outdoors access, feeding, trash around house or backyard, open sewer proximity and flooding. A total of 189 samples (about 2/3 of overall samples) were randomly selected for the training file and consequent decision rules. The remained 98 samples were used for the testing file. The seroprevalence showed a pattern of spatial distribution that involved all the Pantanal area, without agglomeration of reagent animals. In relation to data mining, from 189 samples used in decision tree, a total of 165 (87.3%) animal samples were correctly classified, generating a Kappa index of 0.413. A total of 154 out of 159 (96.8%) samples were considered non-reagent and were correctly classified and only 5/159 (3.2%) were wrongly identified. on the other hand, only 11 (36.7%) reagent samples were correctly classified, with 19 (63.3%) samples failing diagnosis.Discussion: The spatial distribution that involved all the Pantanal area showed that all the animals in the area are at risk of contamination by Leptospira spp. Although most samples had been classified correctly by the decision tree, a degree of difficulty of separability related to seropositive animals was observed, with only 36.7% of the samples classified correctly. This can occur due to the fact of seronegative animals number is superior to the number of seropositive ones, taking the differences in the pattern of variable behavior. The data mining helped to evaluate the most important risk factors for leptospirosis in an urban poor community of Curitiba. The variables selected by decision tree reflected the important factors about the existence of the disease (default of sewer, presence of rats and rubbish and dogs with free access to street). The analyses showed the multifactorial character of the epidemiology of canine leptospirosis.

Evaluating and classifying contaminated areas based on loss functions using annealing simulations

This paper presents a methodology based on geostatistical theory for quantifying the risks associated with heavy-metal contamination in the harbor area of Santana, Amapa State, Northern Brazil. In this area there were activities related to the commercialization of manganese ore from Serra do Navio. Manganese and arsenic concentrations at unsampled sites were estimated by postprocessing results from stochastic annealing simulations; the simulations were used to test different criteria for optimization, including average, median, and quantiles. For classifying areas as contaminated or uncontaminated, estimated quantiles based on functions of asymmetric loss showed better results than did estimates based on symmetric loss, such as the average or the median. The use of specific loss functions in the decision-making process can reduce the costs of remediation and health maintenance. The highest global health costs were observed for manganese. (c) 2008 Elsevier B.V. All rights reserved