El tratamiento y el análisis de las mediciones topobatimétricas genera una mejor comprensión de la dinámica sedimentaria de un embalse, esto contribuye a los encargados de la operación del embalse a implementar mejores prácticas de manejo, además de diseñar e implementar medidas efectivas para el manejo y conservación de estas importantes infraestructuras para asegurar su sostenibilidad. El propósito de este estudio fue analizar la información disponible de las topobatimetrías del embalse San Jacinto que fueron ejecutadas en 1989, 1995, 2004, 2013, 2016 y 2019, para así poder determinar la variación temporal y espacial del sedimento depositado. Este estudio permitió identificar los cursos de agua de mayor aporte de sedimentos y los patrones morfológicos longitudinales. Los resultados muestran que en 30 años de operación se tiene un volumen acumulado de sedimento de 16.5 hm3, 3.1 hm3 por encima del volumen muerto previsto en proyecto, evidenciando la subestimación de la vida útil en la etapa de diseño.

Compendio de publicaciones realizadas durante el periodo 2020-2021, a través de la Carrera de Ingeniería Ambiental, CINAES. Universidad Católica Boliviana "San Pablo".

It is evaluated the efficiency of Vicia faba (i.e., bean) seed flour, in water turbidity removal at drinking water treatment plants. The evaluation of the bean´s coagulant potential was carried out through the use of extracted aqueous and saline crude extract of the pure and delipidified flour. The experimental design with three levels and three factors, pointed out to the coagulant dose and the flocculation rate as the most important variables. The optimal coagulant dose of saline raw bean flour extract and the flocculation rate determined throughout the tests, resulted in a 49% reduction in turbidity in synthetic water (kaolinite), 33% in tank water from the sump tank of the drinking water company and 91.2% of the water adduction point, which is located on the beach of the city of Copacabana.

The high-altitude wetlands in the Central Andes are unique ecosystems located above 4000 masl in the Bolivian Altiplano. Slight modifications in anthropogenic interventions and the threat of global climatic changes constitute a threat to their existence. To address the issue, wetland mapping provides valuable information for the conservation and management of natural wetland areas. In this context, machine learning algorithms are valuable in regions with scarce field information. The objective of this study was to test machine learning algorithms to map Andean wetlands, to promote its management of groundwater recharge zones.

In La Paz Bolivia, the Choqueyapu River is part of one of the main water systems of the municipality of La Paz-Bolivia, being the main collector of domestic and industrial waste, without any previous treatment, which constitutes an important source of emerging pollutants, representing a potential risk to public health. The dispersion of Sulfamethoxazole, which is the drug with the greatest presence in Latin America, was modeled in the trajectory of the Tributary Basin of the Choqueyapu River, with the GIS and Global-FATE tools. First, different input data has been mapped, such as pending, flow direction and accumulation, population consumption of sulfamethoxazole, total population, among others. The next stage includes the calibration of the model and its sensitivity analysis to assess the performance of the model and understand the incidence of the factors in the dispersion of the pollutant. Finally, an interpretation is made of the results obtained with respect to the concentration of the studied drug.