Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring
ABSTRACT Studies carried out over short time intervals assist in understanding the biogeochemical processes occurring relatively fast in natural waters. High frequency monitoring shows a greater variability in the water quality during and immediately after heavy rainfall events. This paper presents...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Recursos Hídricos
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| Series: | Revista Brasileira de Recursos Hídricos |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312016000400653&lng=en&tlng=en |
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| author | Rubia Girardi Adilson Pinheiro Edson Torres Vander Kaufmann Luis Hamilton Pospissil Garbossa |
| author_facet | Rubia Girardi Adilson Pinheiro Edson Torres Vander Kaufmann Luis Hamilton Pospissil Garbossa |
| author_sort | Rubia Girardi |
| collection | DOAJ |
| description | ABSTRACT Studies carried out over short time intervals assist in understanding the biogeochemical processes occurring relatively fast in natural waters. High frequency monitoring shows a greater variability in the water quality during and immediately after heavy rainfall events. This paper presents an assessment of the surface water quality parameters in the Atlantic Forest biome, caused by heavy rainfall events. The work was developed in two fluviometric sections of the Concordia River watershed, located in the state of Santa Catarina, southern Brazil. The spatial distribution of land use shows the predominance of Atlantic Forest in fluviometric section 1 (FS1) and pasture, forestry, agriculture, and Atlantic Forest in fluviometric section 2 (FS2). In each selected heavy rainfall event, the evolution rainfall height, the water level, and physicochemical parameters of water were analyzed. In all events, the water quality changed due to the heavy rainfall. After the events, an increase in water level and turbidity in both fluviometric sections were detected. In addition, the ammonium ion concentration increased in the river, and the pH value and nitrate concentration decreased. The electrical conductivity presented different behavior in each section. The dissolved oxygen concentration increased in 19 of 27 events. The principal component (PC1) correlated with the turbidity in FS1, and it correlated with level, turbidity, and pH in FS2. |
| first_indexed | 2024-12-20T14:01:08Z |
| format | Article |
| id | doaj.art-0aec0b7c376d49d1adb7c97ae8a7cb62 |
| institution | Directory Open Access Journal |
| issn | 2318-0331 |
| language | English |
| last_indexed | 2024-12-20T14:01:08Z |
| publisher | Associação Brasileira de Recursos Hídricos |
| record_format | Article |
| series | Revista Brasileira de Recursos Hídricos |
| spelling | doaj.art-0aec0b7c376d49d1adb7c97ae8a7cb622022-12-21T19:38:21ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-033121465366510.1590/2318-0331.011616055S2318-03312016000400653Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoringRubia GirardiAdilson PinheiroEdson TorresVander KaufmannLuis Hamilton Pospissil GarbossaABSTRACT Studies carried out over short time intervals assist in understanding the biogeochemical processes occurring relatively fast in natural waters. High frequency monitoring shows a greater variability in the water quality during and immediately after heavy rainfall events. This paper presents an assessment of the surface water quality parameters in the Atlantic Forest biome, caused by heavy rainfall events. The work was developed in two fluviometric sections of the Concordia River watershed, located in the state of Santa Catarina, southern Brazil. The spatial distribution of land use shows the predominance of Atlantic Forest in fluviometric section 1 (FS1) and pasture, forestry, agriculture, and Atlantic Forest in fluviometric section 2 (FS2). In each selected heavy rainfall event, the evolution rainfall height, the water level, and physicochemical parameters of water were analyzed. In all events, the water quality changed due to the heavy rainfall. After the events, an increase in water level and turbidity in both fluviometric sections were detected. In addition, the ammonium ion concentration increased in the river, and the pH value and nitrate concentration decreased. The electrical conductivity presented different behavior in each section. The dissolved oxygen concentration increased in 19 of 27 events. The principal component (PC1) correlated with the turbidity in FS1, and it correlated with level, turbidity, and pH in FS2.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312016000400653&lng=en&tlng=enmata atlânticafloresta ombrófila densaqualidade da águamonitoramento in situ |
| spellingShingle | Rubia Girardi Adilson Pinheiro Edson Torres Vander Kaufmann Luis Hamilton Pospissil Garbossa Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring Revista Brasileira de Recursos Hídricos mata atlântica floresta ombrófila densa qualidade da água monitoramento in situ |
| title | Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring |
| title_full | Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring |
| title_fullStr | Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring |
| title_full_unstemmed | Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring |
| title_short | Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring |
| title_sort | evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high frequency monitoring |
| topic | mata atlântica floresta ombrófila densa qualidade da água monitoramento in situ |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312016000400653&lng=en&tlng=en |
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