Geographic Information System (GIS) applied to Environmental Assessment

Alexandre Tadeu Politano

ISBN 10: 6202457651 / ISBN 13: 9786202457651

Published by Our Knowledge Publishing Aug 2025, 2025

About this Item

Neuware -After the oil spill that occurred in January 2000 in Guanabara Bay, Rio de Janeiro, Brazil, Petrobras developed a research project for the environmental and socioeconomic characterization of Guanabara Bay. The objective of this work was to integrate data and increase the potential for knowledge and use of project information by seeking unconventional techniques in environmental studies. Physical-chemical and biological water parameter data collected every two weeks over a two-year period (2005 and 2007) at 10 sampling stations distributed throughout the bay were evaluated. An organization for the data in a spatial database model (geodatabase) was evaluated, and a spatio-temporal investigation was carried out using exploratory techniques and supervised (decision tree) and unsupervised (fuzzy) classification analyses, considering multivariate criteria. These understandings enabled the generation of a new zoning for the assessment of the bay's water quality. The potential contribution of geoprocessing tools as an interface for accessing the database and in the processes of analysis, integration, and spatial presentation of information was also explored. 116 pp. Englisch.

Seller Inventory # 9786202457651

Bibliographic Details

• Title: Geographic Information System (GIS) applied to Environmental Assessment
• Publisher: Our Knowledge Publishing Aug 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 6202457651
• ISBN 13: 9786202457651
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 191 grams

About this title

Synopsis

After the oil spill that occurred in January 2000 in Guanabara Bay, Rio de Janeiro, Brazil, Petrobras developed a research project for the environmental and socioeconomic characterization of Guanabara Bay. The objective of this work was to integrate data and increase the potential for knowledge and use of project information by seeking unconventional techniques in environmental studies. Physical-chemical and biological water parameter data collected every two weeks over a two-year period (2005 and 2007) at 10 sampling stations distributed throughout the bay were evaluated. An organization for the data in a spatial database model (geodatabase) was evaluated, and a spatio-temporal investigation was carried out using exploratory techniques and supervised (decision tree) and unsupervised (fuzzy) classification analyses, considering multivariate criteria. These understandings enabled the generation of a new zoning for the assessment of the bay's water quality. The potential contribution of geoprocessing tools as an interface for accessing the database and in the processes of analysis, integration, and spatial presentation of information was also explored.