Relationship between geological domain and physicochemical parameters in lotic system
Autor: | Donizeti Antonio Giusti, Sandra Martins Ramos, Ana Paula de Melo e Silva Vaz, Ernani Francisco da Rosa Filho |
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Rok vydání: | 2016 |
Předmět: |
lcsh:Hydraulic engineering
lcsh:River lake and water-supply engineering (General) Aquatic Science Oceanography Geologia ambiental lcsh:Technology águas superficiais recursos hídricos Water resources [Kewords] lcsh:TC1-978 Sedimento fluvial Geomorphology lcsh:Environmental sciences Earth-Surface Processes Water Science and Technology lcsh:GE1-350 Physics geologia ambiental lcsh:TC401-506 River sediment lcsh:T Domain (biology) lcsh:Geography. Anthropology. Recreation Surface water Águas superficiais geoquímica Recursos hídricos Geochemistry lcsh:G Environmental geology Geoquímica sedimento fluvial |
Zdroj: | RBRH v.21 n.4 2016 RBRH Associação Brasileira de Recursos Hídricos (ABRH) instacron:ABRH Revista Brasileira de Recursos Hídricos, Vol 21, Iss 4, Pp 882-893 RBRH, Volume: 21, Issue: 4, Pages: 882-893, Published: 31 OCT 2016 |
ISSN: | 2318-0331 |
Popis: | In natural conditions, the characteristics of surface water and river sediments are determined by geological formation. These can be changed due to human activities and interfere with maintenance of aquatic biota. Thus, identifying patterns of surface water and sediments in different geological areas can help to detect possible changes in orientation and contribute to decision-making within the maintenance and conservation of aquatic environments. The objective of this research was to identify changes in physical and chemical characteristics of surface water and geochemistry of sediments inserted catchments in three geological areas in Paraná: metasedimentary carbonate domain (MSCD), terrigenous-carbonate sedimentary domain (TCSD) and basic magmatic domain (MBD). The electrical conductivity, alkalinity, hardness, concentration of Ca and Mg in water were higher in MSCD. The concentration of SiO2 is more representative of the MBD and CO2 in the TCSD. In PCA, with the results of physico-chemical parameters of water, the first axis explained 99.43% of the variance between the sampling stations. In geochemical analysis of sediment and only Fe2O3 CaO showed statistically significant difference (ANOVA = p |
Databáze: | OpenAIRE |
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