Determinación de la oferta hídrica de la microcuenca del Río Coco en el Cantón Pallatanga, Provincia de Chimborazo.

The current study aimed to assess the water supply of the Coco River micro-basin, located in the Pallatanga Canton - Chimborazo province, using the precipitation-runoff method. The study area, covering 97.63 km², is characterized by steep slopes and diverse vegetation. The methodology consisted of t...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолч: Carrillo Mejía, Anais Gabriela (author)
Формат: masterThesis
Хэл сонгох:spa
Хэвлэсэн: 2025
Нөхцлүүд:
Онлайн хандалт:http://dspace.unach.edu.ec/handle/51000/14911
Шошгууд: Шошго нэмэх
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Тодорхойлолт
Тойм:The current study aimed to assess the water supply of the Coco River micro-basin, located in the Pallatanga Canton - Chimborazo province, using the precipitation-runoff method. The study area, covering 97.63 km², is characterized by steep slopes and diverse vegetation. The methodology consisted of three phases: cartographic processing, Curve Number (CN) calculation using HEC-HMS tools, and hydrological modeling. Satellite data and meteorological station data were used, with statistical analysis applied to validate the results. Key findings include a highly responsive precipitation-runoff relationship (55%), indicating limited infiltration capacity. CN values ranged from 30 to 99, influenced by land use and vegetation cover, with denser vegetation leading to reduced runoff. Maximum flows exhibited a consistent increase over the study period, rising from 4.07 m³/s in 2016 to 4.91 m³/s in 2023, reflecting the impact of extreme precipitation events. Similarly, average Flow values increased from 3.13 m³/s in 2016 to 3.88 m³/s in 2023. Additionally, a decrease in water retention capacity was observed, evidenced by greater runoff variability and reduced concentration times (28.32 minutes) between 2017 and 2023. While the micro-basin provides adequate water supply, climate and land use fluctuations necessitate sustainable management strategies. The HEC-HMS model proved effective in evaluating hydrological patterns and projecting future scenarios, serving as a crucial tool for efficient water resource planning and management.