Pipeline visualization, simulation and monitoring in unstable areas affected by soil movements at Serra do Mar – Brazil

2004 ◽  
pp. 1287-1292
Author(s):  
A Costa ◽  
C Amaral ◽  
R Rocha ◽  
E Júnior ◽  
L Rabaco
Keyword(s):  
Serra Do Mar ◽  
Soil Movements ◽  
Visualization Simulation

Pipeline Visualization, Simulation and Monitoring in Unstable Areas Affected by Soil Movements at Serra do Mar – Brazil

2002 ◽  
Author(s):  
Jacqueline V. R. Musman ◽  
Alvaro M. Costa ◽  
Claudio Amaral ◽  
Robson C. Santos ◽  
Maria Tereza Carnevale ◽  
...  
Keyword(s):  
Structural Integrity ◽  
Interaction Model ◽  
Simulation Software ◽  
Serra Do Mar ◽  
Knowing That ◽  
Extensive Program ◽  
Complete Set ◽  
The Times ◽  
Soil Movements ◽  
Visualization Simulation

In this work we discuss the importance of visualization, simulation and monitoring pipelines constructed in areas geologically unstable. In particular it is of great concern pipelines crossing Serra do Mar, in Brazil, where there are colluvium deposits subject to slow movements not traceable by a simple visual inspection most of the times. In order to guarantee the structural integrity of the pipeline it is necessary to measure the tensions transmitted by the ground to the pipeline. Knowing that the soil-pipeline interaction is extremely complex the implementation of an extensive program involving visualization, simulation and monitoring that includes not only the slope but also the pipeline becomes mandatory. This program seeks the collection of information that allows the establishment of a reliable interaction model. This model must be capable of providing operational control parameters and subsidize the decision of an intervention in the pipeline. Therefore the safety of pipeline operations can be maximized through instruction of operators and establishment of monitoring and inspection routines. Right now, in a joint effort of CENPES and TRANSPETRO, a complete set of visualization and numerical simulation software platform is available and it is being used to build a 3D model of all the geotechnical risky areas in Serra do Mar. Also the installation and operation of a pilot monitoring system, including piezometers and inclinometers on the slope and strain gauges on the pipeline, at three different pipelines crossing Serra do Mar, with data acquisition in real time is being undertaken.

Percepção ambiental, perfil sócio-econômico e uso e ocupação do solo pela comunidade residente no núcleo Pedro de Toledo – Parque Estadual da Serra do Mar – SP

2006 ◽  
Vol 30 (4) ◽  
pp. 570-580 ◽  
Author(s):  
Iara Fonseca Souza ◽  
Léo Eduardo Campos Ferreira ◽  
Christiano Magini ◽  
Denis Moledo de Sousa Abessa
Keyword(s):  
Serra Do Mar

scholarly journals Crustacea, Isopoda, Oniscidea Latreille, 1802: new continent record and distribution extension in Brazil

Check List ◽  
2010 ◽  
Vol 6 (2) ◽  
pp. 217 ◽  
Author(s):  
Mariana Juventina Magrini ◽  
Paula Beatriz Araujo ◽  
Marcio Uehara-Prado
Keyword(s):  
Rio Grande ◽  
Sao Paulo ◽  
The State ◽  
Southeastern Brazil ◽  
Pitfall Traps ◽  
São Paulo ◽  
Undescribed Species ◽  
Rio Grande Do Sul ◽  
Serra Do Mar ◽  
First Time

Terrestrial Isopods were sampled in four protected Atlantic Forest areas located in Serra do Mar, state of São Paulo, southeastern Brazil. A total of 2,217 individuals of six species (Atlantoscia sp., Benthana werneri, Pseudodiploexochus tabularis, Pudeoniscus obscurus, Styloniscus spinosus and Trichorhina sp.) were captured in pitfall traps. The exotic species S. spinosus is recorded for the first time for the Americas. Another introduced species, P. tabularis, previously recorded only from the state of Rio Grande do Sul, had its geographic distribution extended to the state of São Paulo. The most abundant isopods in this study belong to an undescribed species of Atlantoscia.

scholarly journals Dengue-2 and Guadeloupe Mosquito Virus RNA Detected in Aedes (Stegomyia) spp. Collected in a Vehicle Impound Yard in Santo André, SP, Brazil

Insects ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 248
Author(s):  
Marina E. O. Rangel ◽  
Luana P. R. Oliveira ◽  
Aline D. Cabral ◽  
Katharyna C. Gois ◽  
Marcos V. M. Lima ◽  
...  
Keyword(s):  
Urban Areas ◽  
Mosquito Species ◽  
Infection Rates ◽  
Serra Do Mar ◽  
Virus Rna ◽  
High Infection ◽  
Human Landing ◽  
Environmental Protection Area ◽  
Protection Area ◽  
Minimum Infection Rate

In 2018–2019, we conducted mosquito collections in a municipal vehicle impound yard, which is 10 km from the Serra do Mar Environmental Protection Area in Santo André, SP, Brazil. Our aim is to study arboviruses in the impound yard, to understand the transmission of arboviruses in an urban environment in Brazil. We captured the mosquitoes using human-landing catches and processed them for arbovirus detection by conventional and quantitative RT-PCR assays. We captured two mosquito species, Aedes aegypti (73 total specimens; 18 females and 55 males) and Ae. albopictus (34 specimens; 27 females and 7 males). The minimum infection rate for DENV-2 was 11.5 per 1000 (CI95%: 1–33.9). The detection of DENV-2 RNA in an Ae. albopictus female suggests that this virus might occur in high infection rates in the sampled mosquito population and is endemic in the urban areas of Santo André. In addition, Guadeloupe mosquito virus RNA was detected in an Ae. aegypti female. To our knowledge, this was the first detection of the Guadeloupe mosquito virus in Brazil.

Quantifying the threat to archaeological sites from the erosion of cultivated soil

Antiquity ◽  
2006 ◽  
Vol 80 (309) ◽  
pp. 658-670 ◽  
Author(s):  
Keith Wilkinson ◽  
Andrew Tyler ◽  
Donald Davidson ◽  
Ian Grieve
Keyword(s):  
World Wide ◽  
Site Formation ◽  
Archaeological Sites ◽  
Site Formation Processes ◽  
Formation Processes ◽  
Know How ◽  
The Past ◽  
Nuclear Weapons Testing ◽  
Resource Managers ◽  
Soil Movements

Ploughing is probably the greatest agent of attrition to archaeological sites world-wide. In every country, every year, a bit more is shaved off buried strata and a bit more of the past becomes unreadable. On the other hand, people must eat and crops must be planted. How can the fields be best managed to get the best of both worlds? Perhaps the most pressing need for resource managers is to know how quickly a particular field is eroding: negotiation and protection is then possible. Up to now that has been difficult to measure.The new procedure presented here, which draws on the unexpected benefits of nuclear weapons testing, shows how variation in the concentration of the radioisotope 137Cs can be used to monitor soil movements over the last 40 years. The measurements allow a site's ‘life expectancy’ to be calculated, and there are some promising dividends for tracking site formation processes.

A new species of the highland frog genus Holoaden (Amphibia, Strabomantidae) from cloud forests of southeastern Brazil

Zootaxa ◽  
2013 ◽  
Vol 3599 (2) ◽  
pp. 178-188 ◽  
Author(s):  
ITAMAR A. MARTINS ◽  
HUSSAM ZAHER
Keyword(s):  
New Species ◽  
Body Size ◽  
High Altitude ◽  
Ventral Surface ◽  
Sao Paulo ◽  
Southeastern Brazil ◽  
São Paulo ◽  
Cloud Forests ◽  
Serra Do Mar ◽  
A New Species

A new species of the genus Holoaden is described from the Atlantic forest of the state of São Paulo, Brazil, being restricted to primary or slightly disturbed high altitude cloud forests along the northeastern portion of the Serra do Mar. The typelocality is determined as Estação Ecológica de Bananal, in the Municipality of Bananal, State of São Paulo, Brazil. The new species is characterized by its moderate body size (female 42.6–44.2 mm SVL; male 37.2–38.5 mm SVL) with long and slender limbs, a head wider than long, a highly glandular dorsum, covered by well developed macroglands that extend to the internasal region, thigh and tibia, and an intense dark brown dorsal coloration and dark grey ventral surface.

scholarly journals Artificial neural networks applied for soil class prediction in mountainous landscape of the Serra do Mar¹

2014 ◽  
Vol 38 (6) ◽  
pp. 1681-1693 ◽  
Author(s):  
Braz Calderano Filho ◽  
Helena Polivanov ◽  
César da Silva Chagas ◽  
Waldir de Carvalho Júnior ◽  
Emílio Velloso Barroso ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Kappa Index ◽  
Class Prediction ◽  
Soil Class ◽  
Serra Do Mar ◽  
The Neural Network ◽  
Artificial Neural ◽  
Local Geology

Soil information is needed for managing the agricultural environment. The aim of this study was to apply artificial neural networks (ANNs) for the prediction of soil classes using orbital remote sensing products, terrain attributes derived from a digital elevation model and local geology information as data sources. This approach to digital soil mapping was evaluated in an area with a high degree of lithologic diversity in the Serra do Mar. The neural network simulator used in this study was JavaNNS and the backpropagation learning algorithm. For soil class prediction, different combinations of the selected discriminant variables were tested: elevation, declivity, aspect, curvature, curvature plan, curvature profile, topographic index, solar radiation, LS topographic factor, local geology information, and clay mineral indices, iron oxides and the normalized difference vegetation index (NDVI) derived from an image of a Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor. With the tested sets, best results were obtained when all discriminant variables were associated with geological information (overall accuracy 93.2 - 95.6 %, Kappa index 0.924 - 0.951, for set 13). Excluding the variable profile curvature (set 12), overall accuracy ranged from 93.9 to 95.4 % and the Kappa index from 0.932 to 0.948. The maps based on the neural network classifier were consistent and similar to conventional soil maps drawn for the study area, although with more spatial details. The results show the potential of ANNs for soil class prediction in mountainous areas with lithological diversity.

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