Unidad de Posgrado Civil y Mecánica

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Subject: search.filters.subject.CALIDAD DEL AGUA

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Now showing 1 - 5 of 5
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    Análisis del estado de calidad del agua utilizando el índice NSF y propuesta de tratamiento de agua para la microcuenca Nagsiche en Salcedo, Cotopaxi
    (Ingeniería Civil y Mecánica. Carrera Ingeniería Civil. Maestría con mención en Obras Hidráulicas, 2025-12-15) Salazar Corrales Cristian Paul; Bayas Altamirano Myriam Marisol
    In this study, the water quality of the Nagsiche River basin, located in the province of Cotopaxi, was assessed using the NSF-WQI (Water Quality Index) method. The objective of this research was to determine the water quality of the Nagsiche River basin by applying the Water Quality Index proposed by the National Sanitation Foundation (NSF-WQI). Methods: The present study consisted of: (1) identifying the Yanahurco, Cusubamba, and Panzaleo sectors as sampling points; (2) collecting and analyzing samples according to the parameters established by the NSF-WQI; (3) calculating the water quality indices in the three sectors — Yanahurco (66.71), Cusubamba (60.97), and Panzaleo (57.65); and (4) classifying the water quality of the Nagsiche River basin as “Regular” quality, along with a proposed treatment strategy. Results: The study demonstrated: (a) differing climatic, topographic, social, and economic conditions, as well as varying uses of water resources; (b) high levels of organic pollution, based on biochemical oxygen demand (BOD₅) values of 14 mg/L in the upper basin, 102.3 mg/L in the middle basin, and 175.2 mg/L in the lower basin; and (c) water quality in the Nagsiche River micro-basin classified as “Regular” according to the NSF-WQI methodology, with a corresponding treatment proposal. Discussion and Conclusions: The comprehensive evaluation of water quality in the Nagsiche River basin, applying the National Sanitation Foundation Water Quality Index (NSF-WQI), allowed an objective determination of the environmental status of the water resource across its upper, middle, and lower sections. The results highlighted significant variations related to the degree of anthropogenic intervention, showing a clear trend of progressive deterioration in water quality toward the lower zones of the basin.
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    Análisis del impacto de infraestructura verde: modelos hidrológicos y soluciones arquitectónicas sostenibles
    (Ingeniería Civil y Mecánica. Carrera Ingeniería Civil. Maestría con mención en Obras Hidráulicas, 2025-12-15) Guano Merino Jorge Israel; Morales Fiallos Fabian Rodrigo
    Increasing urbanization and the degradation of water resources in urban environments pose significant environmental, social, and public health challenges. This research aimed to evaluate the impact of green infrastructure on water quality and water resource management in urban areas, integrating hydrological models and sustainable architectural solutions. The study was conducted in the Baños de Agua Santa canton, located in the province of Tungurahua, Ecuador, using a mixed-methods approach that combined quantitative analysis of physicochemical water parameters and hydrological modeling with qualitative techniques such as interviews, surveys, and focus groups. The results showed a significant improvement in water quality in areas where green infrastructure was implemented, with notable reductions in nitrate, phosphate, turbidity, suspended solids, and biochemical oxygen demand (BOD) levels. Additionally, the SWMM and HEC-HMS models indicated a decrease in surface runoff and an increase in water infiltration in the intervened urban soils. From a social perspective, a high level of community acceptance was observed, highlighting the perceived aesthetic, functional, and environmental benefits, along with a strong willingness to participate in the maintenance of these solutions. In conclusion, green infrastructure proved to be an effective tool for improving urban water management, reducing water pollution, and strengthening the environmental and social sustainability of the territory. It is recommended that green infrastructure be structurally integrated into public policies, land use planning, and climate change adaptation strategies, particularly in ecologically vulnerable contexts such as Baños de Agua Santa.
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    Generación de un modelo estadístico para la automatización del control de los parámetros de calidad del agua, de la planta de tratamiento de agua potable El carrizal, perteneciente a la parroquia San Miguel, del Cantón Salcedo, Provincia de Cotopaxi
    (Ingeniería Civil y Mecánica. Carrera Ingeniería Civil. Maestría con mención en Obras Hidráulicas, 2025-12-15) Llamuca Montaluisa Segundo Atahualpa; Bayas Altamirano Myriam Marisol
    The current research aims to generate a statistical predictive model based on machine learning methods, geared towards automating the control of water quality parameters at the "El Carrizal" treatment plant, located in the Salcedo canton, Cotopaxi province. To achieve this, a mixed-methods approach with a quantitative focus was employed, broken down into four stages: data preprocessing, predictive model design, benchmarking, and operational validation. The analysis of pH, turbidity, and residual chlorine parameters utilizes historical data from IoT sensors and applies multiple linear regression algorithms, support vector machines, decision trees, multilayer neural networks, and random forests. The results show a low linear correlation between the variables (R² values close to zero), which can be explained by the system's operational stability and the nonlinear complexity of the hydraulic system. Despite this, the Random Forest model stood out for its good balance between mean error, stability, and generalizability, thus serving as a base model for predictive process automation. These findings propose a replicable methodology based on data and machine learning, paving the way for more efficient and sustainable intelligent systems for water quality control.
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    Monitoreo y evaluación de parámetros de calidad de agua obtenidos por la Internet de las cosas (IoT) para la planta de tratamiento de agua potable el carrizal, perteneciente a la parroquia San Miguel, del Cantón Salcedo, provincia de Cotopaxi
    (Ingeniería Civil y Mecánica. Carrera Ingeniería Civil. Maestría con mención en Obras Hidráulicas, 2025-12-11) Santamaría Masapuncho Alvaro Hernán; Bayas Altamirano Myriam Marisol
    The present study evaluated the implementation of an Internet of Things (IoT)-based system for the continuous monitoring of water quality parameters at the El Carrizal treatment plant, located in the Salcedo canton, Cotopaxi province, Ecuador. The IoT architecture was designed in three layers perception, network, and application and integrated pH, turbidity, and residual chlorine sensors, along with Arduino Mega and NodeMCU ESP8266 modules for data acquisition, processing, and transmission. Results showed an acceptable correspondence between IoT and traditional manual measurements, with mean relative errors below 17% and positive correlations across all monitored parameters. The pH exhibited the highest stability (ERM = 1.22%), while turbidity and residual chlorine displayed minor discrepancies attributable to sensitivity and calibration conditions. The system achieved an operational availability of 97.3%, with an average energy consumption of 104.6 W and a latency of 3.2 seconds, confirming its technical feasibility and energy efficiency. These findings position the IoT system as a sustainable, low-cost, and replicable alternative to strengthen water quality management in rural treatment facilities, contributing to the achievement of Sustainable Development Goals 6 (Clean Water and Sanitation) and 9 (Industry, Innovation, and Infrastructure).
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    Monitoreo y evaluación de parámetros de calidad de agua obtenidos por la Internet de las cosas (IoT) para la planta de tratamiento de agua potable el carrizal, perteneciente a la parroquia San Miguel, del Cantón Salcedo, provincia de Cotopaxi
    (Ingeniería Civil y Mecánica. Carrera Ingeniería Civil. Maestría con mención en Obras Hidráulicas, 2025-12-04) Santamaría Masapuncho Alvaro Hernán; Bayas Altamirano Myriam Marisol
    The present study evaluated the implementation of an Internet of Things (IoT)-based system for the continuous monitoring of water quality parameters at the El Carrizal treatment plant, located in the Salcedo canton, Cotopaxi province, Ecuador. The IoT architecture was designed in three layers perception, network, and application and integrated pH, turbidity, and residual chlorine sensors, along with Arduino Mega and NodeMCU ESP8266 modules for data acquisition, processing, and transmission. Results showed an acceptable correspondence between IoT and traditional manual measurements, with mean relative errors below 17% and positive correlations across all monitored parameters. The pH exhibited the highest stability (ERM = 1.22%), while turbidity and residual chlorine displayed minor discrepancies attributable to sensitivity and calibration conditions. The system achieved an operational availability of 97.3%, with an average energy consumption of 104.6 W and a latency of 3.2 seconds, confirming its technical feasibility and energy efficiency. These findings position the IoT system as a sustainable, low-cost, and replicable alternative to strengthen water quality management in rural treatment facilities, contributing to the achievement of Sustainable Development Goals 6 (Clean Water and Sanitation) and 9 (Industry, Innovation, and Infrastructure).