**Summary:**
This thesis evaluates a filtration treatment for irrigation water in the La Ramada hydraulic system in the Bogotá savanna. The water used for irrigation has microbiological characteristics that pose a public health risk, particularly due to high concentrations of total coliforms and E. coli. The study proposes and designs water treatment units, including slow sand filters and filtration wells, tailored to the rural environment of La Ramada with a flow rate of 0.84 L/min. A slow sand filtration model is used to calculate E. coli removal rates under different operational conditions, and the optimal parameters for La Ramada are defined. Experimental tests are conducted to assess the influence of model parameters on removal efficiency, and simulations are performed to determine E. coli removal rates of 90% from the third day of operation.
The research also examines the existing water treatment plant and drainage system in the Marengo Agropecuarian Center, highlighting issues such as poor water quality, eutrophication, and contamination from agricultural and industrial activities. The study evaluates the feasibility of slow sand filtration and filtration wells as effective and sustainable solutions for improving water quality for irrigation. The model developed by Schijven is used to predict the removal of pathogens, considering factors such as filtration rate, depth, and temperature. The results show that slow sand filtration can effectively remove E. coli, with removal rates exceeding 90% after three days of operation.
The study concludes that slow sand filtration is a viable and efficient method for treating irrigation water in the La Ramada system, offering a sustainable solution to improve water quality and reduce public health risks. The findings suggest that implementing this treatment can significantly enhance the safety of irrigation water, particularly for crops that are consumed directly without prior cooking. The research also highlights the importance of maintaining and upgrading existing water treatment infrastructure to ensure the effective removal of pathogens and contaminants in agricultural settings.**Summary:**
This thesis evaluates a filtration treatment for irrigation water in the La Ramada hydraulic system in the Bogotá savanna. The water used for irrigation has microbiological characteristics that pose a public health risk, particularly due to high concentrations of total coliforms and E. coli. The study proposes and designs water treatment units, including slow sand filters and filtration wells, tailored to the rural environment of La Ramada with a flow rate of 0.84 L/min. A slow sand filtration model is used to calculate E. coli removal rates under different operational conditions, and the optimal parameters for La Ramada are defined. Experimental tests are conducted to assess the influence of model parameters on removal efficiency, and simulations are performed to determine E. coli removal rates of 90% from the third day of operation.
The research also examines the existing water treatment plant and drainage system in the Marengo Agropecuarian Center, highlighting issues such as poor water quality, eutrophication, and contamination from agricultural and industrial activities. The study evaluates the feasibility of slow sand filtration and filtration wells as effective and sustainable solutions for improving water quality for irrigation. The model developed by Schijven is used to predict the removal of pathogens, considering factors such as filtration rate, depth, and temperature. The results show that slow sand filtration can effectively remove E. coli, with removal rates exceeding 90% after three days of operation.
The study concludes that slow sand filtration is a viable and efficient method for treating irrigation water in the La Ramada system, offering a sustainable solution to improve water quality and reduce public health risks. The findings suggest that implementing this treatment can significantly enhance the safety of irrigation water, particularly for crops that are consumed directly without prior cooking. The research also highlights the importance of maintaining and upgrading existing water treatment infrastructure to ensure the effective removal of pathogens and contaminants in agricultural settings.