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Master
Argentine
Análisis de la disponibilidad de agua superficial ante distintos escenarios de oferta y demanda de la cuenca del río San Antonio, provincia de Córdoba
Titre : Análisis de la disponibilidad de agua superficial ante distintos escenarios de oferta y demanda de la cuenca del río San Antonio, provincia de Córdoba
Auteur : Alvarez, Javier
Université de soutenance : Universidad Nacional de Córdoba
Grade : Maestría en Ciencias de la Ingeniería : Mención en Recursos Hídricos 2018
Résumé
The San Roque lake is one of the most economically important
artifitial reservoirs in the Province of Córdoba (Argentina) and it was witnessed the
sudden anthropological development along its coasts. This lake, among its multiple
uses, is the main source of fresh water for Córdoba City (Argentina). One of the main
tributaries of this reservoir is the San Antonio River, considered as the main source
of fresh water supply for the South of Punilla population and industries. However,
during the dry seasons in the historical period, the entire flow of the river has been
extracted in the weeks before the rainy season.
In this context, the thesis objective is to analyze the impact of the San Antonio runoff
variations on the water availability, based on different rainfall and temperature
projections for different Greenhouse Emissions projection pathways. To achieve this
objective, the basin hydrological behavior was simulated using a continuous and
distributed hydrological model, modelling hypothetical precipitation scenarios and
Global Climate Models scenarios of precipitation and temperature, after being biascorrected and spatially downscaled using statistical techniques. The main results
obtained include :
a) Based on the observational hydro-climatological rainfall patterns, determination of
the Water Scarcity Risk, critical between July and September ;
b) Uncertainty quantification of the Climate Models in the Córdoba Province and, by
analysing the relationships between historical climate models estimations and
terrain-recorded data, select the models with better performance ;
c) Bias-correction and downscaling of temperature and precipitation Global Climate
Model data, according to the observed data. After this, coupling them to a continuous
and distributed hydrological model in order to simulate runoff.
As a conclusion, it could be assumed that, if the population to be supplied with fresh
water doubles in 30 years and triples in 45 years, using the Climate Models
information, the days with Water Scarcity Risk would increase, although not in a
directly proportional way.
Page publiée le 13 janvier 2021