Simulação sequencial na interpolação dos dados de entrada ou saída do modelo de lixiviação do software Araquá

Detalhes bibliográficos
Ano de defesa: 2015
Autor(a) principal: Moraes, Diego Augusto de Campos [UNESP]
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual Paulista (Unesp)
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/11449/134004
http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/03-02-2016/000858605.pdf
Resumo: The interface between simulators of pesticide environmental behavior and fate and geoprocessing softwares has been increasingly used in environmental risk assessment studies. In this context, the use of geostatistics, which considers the spatial correlation and interpolation of a given phenomenon in nature, has a great importance. However, application of geostatistical interpolation processes on the input or output simulator data can provide different results. Therefore, the hypothesis of this work relies on the proposition that using stochastic simulation techniques on ARAquá software input data interpolation will produce a more critical scenario of groundwater contamination, when compared with ARAquá software output data interpolation. Therefore, the aim of this work was to implement the stochastic simulation methodology as interpolation procedure for ARAquá software input and output data, with the subsequent comparison of results. The study was conducted for a sugarcane area with Tebuthiuron simulated application, in São Manuel-SP, Brazil. Two approaches were considered: Calculate Before - Interpolate After (CI) and Interpolate Before - Calculate After (IC). Both approaches considered the groundwater depth of 2 m and 1 m. For CI approach were applied ARAquá software, univariate variograms of estimated concentrations and Sequential Gaussian Simulation (SSG). In the IC approach were applied the Linear Model of Coregionalization (LMC) of soil parameters, the co-Sequential Gaussian Simulation (co-SSG) and the application of ARAquá software to obtain simulated concentrations. The results obtained by the approaches showed that the IC approach obtained the worst case scenario for Tebuthiuron simulated concentrations in groundwater, and acute risk to aquatic plants when considering 1 m groundwater depth. Through LMC analysis it was possible to identify that field capacity water content, organic ...