21 resultados para spatialization

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


Relevância:

20.00% 20.00%

Publicador:

Resumo:

From the geotechnical standpoint, it is interesting to analyse the soil texture in regions with rough terrain due to its relation with the infiltration and runoff processes and, consequently, the effect on erosion processes. The purpose of this paper is to present a methodology that provides the soil texture spatialization by using Fuzzy logic and Geostatistic. The results were correlated with maps drawn specifically for the study area. The knowledge of the spatialization of soil properties, such as the texture, can be an important tool for land use planning in order to reduce the potential soil losses during rain seasons. (c) 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of Spatial Statistics 2011

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Improper use of pesticides can lead to significant environmental impacts such as, contamination of environmental compartments, being the aquatic compartments the most vulnerable. In this context, the spatialization of pesticides concentrations estimative in groundwater provides important insights for decision making in managing and monitoring pesticides use. This study aimed to spatialize estimatives of groundwater contamination by Tebuthiuron, from different irrigation depths in the Rio Pardo basin, Pardinho-SP, Brazil. The simulations were performed using the ARAquá computer system, considering 0mm, 200 mm and 400 mm annual irrigation depths. Geostatistical techniques were used to obtain the spatial distribution of the simulated estimative. Tebuthiuron maps estimating concentration in groundwater were obtained by Kriging interpolation method, and indicated the areas with high potential for groundwater contamination. Considering all the simulations, it was concluded that there was no risk of groundwater contamination by Tebuthiuron in the study area.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Geografia - FCT

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

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

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Geografia - FCT

Relevância:

10.00% 10.00%

Publicador:

Resumo:

In the last few decades, Brazil has experienced an accelerated urbanization process in which many cities have grown in a disorderly way occupying environmentally fragile areas unsuitable for habitation. Anthropogenic actions such as high levels of impermeable soil, structural changes in watercourses, lack of riparian vegetation, illegal presence of trash and rubbish along the river banks added to irregular settlements in floodplains result in the rise of high risk areas. When accompanied by intense and prolonged rainfall phenomena, those areas have been the scenery of serious accidents such as floods. This study aims to classify the level of the risk of floods in the neighborhood of Jardim Inocoop, in the town of Rio Claro, São Paulo countryside, Brazil. One of the main technical support to tackle this issue is the identification and classification of the risks. In order to classify the risk level of flood in this case study, the methodology adopted was developed by the Ministry of Cities and Technology Research Institute, and take into account the arrangement of the hydrological scenario, vulnerability of households and dangerous process according to the distance of the houses from the axis of drainage. Therefore, the risk levels adopted to classify are listed below: very high (MA), high risk (A), moderate (M) and low risk (B). In conclusion, it is imperative to develop prevention plans in order to avoid or to minimize the damages caused by natural disasters. Therefore, the zoning of the risk sceneries remains as an important issue once it helps to identify the areas with high level risk of flood. Consequently, the occupation must be regulated where there is low or absent risk and it must be often forbidden where the high risk of flood is detected. Thus, the present study remains as an attempt to notify the risk of floods through its spatialization on a map, remainig...(Complete abstract click electronic access below)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The objective of this research was to conduct an analysis of multitemporal landscape Ipanema National Forest, located in the municipalities of Iperó, Capela do Alto and Araçoiaba da Serra – São Paulo estate, Brazil, considering the scenarios of 1965, 2007 and 2011. The multitemporal analysis, using aerial photographs and satellite images, contributed to the contextualization and spatialization of the evolution of the landscape area. Through analysis interpretation of the images, performed by means of supervised classification were obtained thematic maps of the area, equivalent to approximately 53 km2. Through geoprocessing techniques, especially Geographic Information Systems, it was possible the integration and manipulation of data, both spatial and statistical, allowing integrated analysis of data from the entire area of the National Forest of Ipanema. As the main result, we found that the Ipanema National Forest is in landscape evolution positive, with those 46 years examined the increase of native heavy foliage areas. Increasing from 7.1 km2 of the total area of dense vegetation in 1965 to 35.9 km2 in 2011. Overall, it was possible to realize a scenario landscape quite optimistic about the evolution of forest conservation area