Quali-quantitative water behaviour in an intensive swine production catchment in the Atlantic Forest biome, Southern Brazil
- 1Department of Environmental Engineering, Regional University of Blumenau, Blumenau, Santa Catarina, Brazil.
- 2Regional University of Blumenau, Blumenau, Santa Catarina, Brazil. gustavoapiazza@gmail.com.
- 3Federal University of Santa Catarina (UFSC), Florianopolis, Santa Catarina, Brazil.
- 4Regional University of Blumenau, Blumenau, Santa Catarina, Brazil.
- 0Department of Environmental Engineering, Regional University of Blumenau, Blumenau, Santa Catarina, Brazil.
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View abstract on PubMed
Summary
This summary is machine-generated.Agricultural runoff significantly degrades water quality in Brazil
Area Of Science
- Environmental Science
- Hydrology
- Agricultural Science
Background
- Agriculture is vital to Brazil's economy but a major cause of water pollution.
- Monitoring agricultural catchments is crucial for identifying water quality issues.
Purpose Of The Study
- To assess the impact of intensive agriculture on water quality in the Atlantic Forest biome.
- To analyze hydrological and water quality data from the Fortaleza River catchment over seven years.
Main Methods
- Conducted hydrological and water quality monitoring using fluviometric stations, lysimeters, a meteorological station, and a piezometer.
- Collected data on precipitation, temperature, water flow, runoff, drainage, and water quality parameters.
- Utilized statistical analyses and Principal Component Analysis (PCA) for data interpretation.
Main Results
- Precipitation showed homogeneous monthly and annual distribution from 2013-2019.
- Statistical differences in flow rates were observed between upstream and downstream sections.
- Elevated ammonium, nitrate, and potassium concentrations in lysimeter runoff directly linked to agricultural activities.
Conclusions
- Intensive agricultural practices in the Fortaleza River catchment significantly impact surface and underground water quality.
- Monitoring programs are essential for understanding and mitigating agricultural non-point source pollution.
- PCA revealed distinct chemical relationships in surface water, lysimeters, and groundwater, highlighting agricultural influence.
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