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R. W. Lourenço  - - - 
Top co-authors See all
Maria Rita Donalisio

19 shared publications

A. C. G. Martins

7 shared publications

UNESP - Univ Estadual Paulista, Campus de Sorocaba

J. A. F. Roveda

3 shared publications

UNESP - Univ Estadual Paulista, Campus de Sorocaba

D. C. C. Silva

1 shared publications

UNESP - Univ Estadual Paulista, Campus de Sorocaba

J. C. A. Sales

1 shared publications

UNESP - Univ Estadual Paulista, Campus de Sorocaba

6
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Publication Record
Distribution of Articles published per year 
(2005 - 2015)
Total number of journals
published in
 
4
 
Publications
Article 0 Reads 0 Citations Use of fuzzy systems in the elaboration of an anthropic pressure indicator to evaluate the remaining forest fragments R. W. Lourenço, D. C. C. Silva, A. C. G. Martins, J. C. A. S... Published: 07 March 2015
Environmental Earth Sciences, doi: 10.1007/s12665-015-4253-6
DOI See at publisher website
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The aim of the present paper is to develop a spatial analysis methodology with an inference fuzzy system using the geoprocessing techniques to generate an anthropic pressure indicator (API) based on two other indicators: Circularity Index (CI) and Edge Effects Index (EEI). This new methodology could indicate the remaining forest fragments exposition level after the anthropic action, considering the relationship between the geometry (CI) and the type of land use around the area (EEI) as the main factors. The studied area is located in the southwest part of São Paulo state, Brazil. The obtained results show that rivers are often found as limits between fragments, demonstrating the importance of the preservation and conservation of riparian forest. In total, 846 forest fragments were identified, occupying 6.19 % of the study area, totalizing 2775.7 ha. Out of the total fragments 48.7 % were in medium and advanced successional stage of regeneration presenting elongated shapes and 16 % were in a high fragility interval, consequence of the edge effects. Moreover, the map of API showed that 16.2 % forest fragments were in a moderate high anthropic pressure interval, which deserve special attention for being very elongated, limited and pressured in an intense way by different types of land use which affect its surroundings. Thereby, the study demonstrated that the understanding of pressure types imposed on the remaining forest fragments through an indicator can contribute to management programs and territorial planning, giving conditions to the forest restoration in areas of strong anthropic pressure, and that the employment of fuzzy logics and geoprocessing could contribute significantly to diagnosis and trouble characterizations.
Article 1 Read 0 Citations Análise espacial da mortalidade infantil e suas relações sócio-ambientais na área urbana de Rio Claro, SP, BR Maria Aparecida Vedovato, Roberto Wagner Lourenço, Maria Rit... Published: 01 January 2011
Sociedade & Natureza, doi: 10.1590/s1982-45132011000300006
DOI See at publisher website
Article 0 Reads 0 Citations Geoprocessing applied to the assessment of environmental noise: a case study in the city of Sorocaba, São Paulo, Brazil Samuel Barsanelli Costa, Roberto Wagner Lourenço Published: 06 February 2010
Environmental Monitoring and Assessment, doi: 10.1007/s10661-010-1337-3
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Noise mapping has been used as an instrument for assessment of environmental noise, helping to support decision making on urban planning. In Brazil, urban noise is not yet recognized as a major environmental problem by the government. Besides, cities that have databases to drive acoustic simulations, making use of advanced noise mapping systems, are rare. This study sought an alternative method of noise mapping through the use of geoprocessing, which is feasible for the Brazilian reality and for other developing countries. The area chosen for the study was the central zone of the city of Sorocaba, located in São Paulo State, Brazil. The proposed method was effective in the spatial evaluation of equivalent sound pressure level. The results showed an urban area with high noise levels that exceed the legal standard, posing a threat to the welfare of the population.
Article 1 Read 6 Citations Mapping soil pollution by spatial analysis and fuzzy classification Roberto Wagner Lourenço, Paulo M. Barbosa Landim, André Henr... Published: 06 June 2009
Environmental Earth Sciences, doi: 10.1007/s12665-009-0190-6
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Spatial analysis and fuzzy classification techniques were used to estimate the spatial distributions of heavy metals in soil. The work was applied to soils in a coastal region that is characterized by intense urban occupation and large numbers of different industries. Concentrations of heavy metals were determined using geostatistical techniques and classes of risk were defined using fuzzy classification. The resulting prediction mappings identify the locations of high concentrations of Pb, Zn, Ni, and Cu in topsoils of the study area. The maps show that areas of high pollution of Ni and Cu are located at the northeast, where there is a predominance of industrial and agricultural activities; Pb and Zn also occur in high concentrations in the northeast, but the maps also show significant concentrations of Pb and Zn in other areas, mainly in the central and southeastern parts, where there are urban leisure activities and trade centers. Maps were also prepared showing levels of pollution risk. These maps show that (1) Cu presents a large pollution risk in the north–northwest, midwest, and southeast sectors, (2) Pb represents a moderate risk in most areas, (3) Zn generally exhibits low risk, and (4) Ni represents either low risk or no risk in the studied area. This study shows that combining geostatistics with fuzzy theory can provide results that offer insight into risk assessment for environmental pollution.
Article 1 Read 0 Citations [Public health risk maps using geostatistical methods]. Roberto Wagner Lourenço, Paulo Milton Barbosa Landim Published: 28 January 2005
Cadernos de Saúde Pública,
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The purpose of this paper was to demonstrate an application of geostatistical methods to public health risk maps through the identification of areas with elevated concentrations of heavy metals. The study focused on the element lead (Pb) from aerial transportation or loading of particles due to soil leaching in an area with major urban and industrial concentration in the Baixada Santista on the coastland of São Paulo State, Brazil. Maps with the spatial distribution of lead were produced using ordinary kriging; subsequently indicative kriging was performed to identify soil sites with contamination levels higher than the maximum acceptable level defined by the Sao Paulo State Environmental Control Agency. The resulting maps showed areas with increased probability of public health risk. The methodology proved to be a promising approach for decision-making related to health public policies and environmental planning.
Article 1 Read 2 Citations Mapeamento de áreas de risco à saúde pública por meio de métodos geoestatísticos Roberto Wagner Lourenço, Paulo Milton Barbosa Landim Published: 01 January 2005
Cadernos de Saúde Pública, doi: 10.1590/s0102-311x2005000100017
DOI See at publisher website