Dissertação

Análise da qualidade da água do rio Guamá e suas interfaces climáticas e socioambientais em São Miguel do Guamá, nordeste paraense.

This work aims to understand the relation of water quality in a section of theGuamáriver, with the climatic, anthropic and social aspects in the municipality of. Thus, six collections were made at three distinct points located on the border between the municipalities of São Miguel do Guamá and Iritu...

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Autor principal: MARINHO, Eduardo Ribeiro
Grau: Dissertação
Idioma: por
Publicado em: Universidade Federal do Pará 2020
Assuntos:
Acesso em linha: http://repositorio.ufpa.br:8080/jspui/handle/2011/12243
Resumo:
This work aims to understand the relation of water quality in a section of theGuamáriver, with the climatic, anthropic and social aspects in the municipality of. Thus, six collections were made at three distinct points located on the border between the municipalities of São Miguel do Guamá and Irituia; Point A (River bottom), Point B (River center) and Point C (River bottom), for two months in 2015 (Feb / Jul), in 2016 (Jan / Jun) and 2017 (Feb / Jul). These points represent the existence of human activities on the banks of the river; the red ceramic industry; domestic sewage and logging. For this, the physical chemical indicators of water quality were analyzed; pH, dissolved oxygen (mg / L), electrical conductivity (μS / cm -1), total dissolved solids (mg / L), water temperature (ºC) and turbidity (NTU). In addition to the monthly and daily atmospheric data of the Southern Oscillation Index and the CMORPH precipitation, respectively.For the calculation of the flow of the Guamá river (m³ / s) the method of regionalization of minimum flows in basins through interpolation in geographic information system. The socio-environmental indicators of HDI-M, coverage by water supply system (%), coverage by sewage system (%), diarrhea morbidity and gastroenteritis (number of hospitalizations) and surface water availability were used for the social analysis. m³ / s) in the period from 1991 to 2010. For analysis of the data, we applied the multivariate statistical analysis - Principal Component Analysis (PCA) and the linear regression method, by obtaining Pearson 's linear correlation coefficient (r). The main results are: strong positive and negative correlations between precipitation, flow and water quality indicators during the extreme climatic El Niño 2015-2016. In the study of the social aspect, there were strong correlations between the data of HDI-M with the water supply system (%), sewage network (%), surface water availability (m³ / s). In general, the research sought to make an analysis of the water quality of the Guamáriver based on the interdisciplinary aspect, showing the pioneering study for the region.