Modelagem geoestatística de parâmetros de qualidade da água na lagoa do rio Barigui em Curitiba - Paraná

• Ano de defesa: 2018
• Autor(a) principal: Leonardi, Ivan Rodrigo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Brasil; Programa de Pós-Graduação em Ciência e Tecnologia Ambiental; UTFPR
• Palavras-chave em Português: Lagoas - Curitiba (PR) - Aspectos ambientais; Controle de qualidade da água - Curitiba (PR); Monitorização ambiental; Geologia - Métodos estatísticos; Análise espacial (Estatística); Teoria da previsão; Mapeamento ambiental; Estimativa de parâmetros; Métodos de simulação; Lagoons - Curitiba (PR) - Environmental aspects; Tecnologia ambiental; Water quality management - Curitiba (PR); Environmental monitoring; Geology - Statistical methods; Spatial analysis (Statistics); Prediction theory; Environmental mapping; Parameter estimation; Simulation methods; Green technology; CNPQ::ENGENHARIAS; CNPQ::ENGENHARIAS::ENGENHARIA SANITARIA::SANEAMENTO AMBIENTAL::QUALIDADE DO AR, DAS AGUAS E DO SOLO; Ciências Ambientais
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/4181

In the process of sustainable development, planning and management of water resources are essential for better environmental management. Concern about environmental issues suggests that systematic approaches to monitoring environmental impacts be undertaken. The geostatistical methodology is presented as a method that uses statistical procedures applied to situations whose data are related to spatially distributed and correlated natural phenomena. Following this theme, this research has the objective of mapping and evaluating the dispersion of some parameters of water quality in the Barigui river lagoon, located in Curitiba - Paraná. For this modeling, points were collected and analyzed inside the pond according to the four seasons of the year (spring, summer, autumn and winter). All geostatistical and statistical processing was performed through free software R and its GeoR extension package. With the results obtained, it was possible to characterize the spatial variability of these parameters and to evaluate the efficiency of the methodology for water resources management and environmental monitoring.