Modelo de flujo en un acuífero volcánico : el Acuífero de la Aldea (Gran Canaria)

RESUMEN. Se ha llevado a cabo un modelo de flujo de aguas subterráneas en la desembocadura del Barranco de La Aldea (Gran Canaria). El área fue discretizada tridimensionalmente en celdas de 50x50 m considerando 3 capas. La capa superior está constituida por materiales sedimentarios y volcánicos (aluvial, derrubios de ladera y basaltos alterados) y las capas intermedia e inferior por basaltos. Se ha realizado un modelo en régimen estacionario simulando el año hidrológico medio 1991/92 y transitorio para el período de 1991/92-1998/99. Los límites norte, sur y este se han definido como bordes impermeables, la línea de costa se ha definido como nivel constante y la cabecera del barranco se ha simulado mediante un tramo de caudal prefijado representando el aporte de la cuenca alta del barranco. Las entradas en la zona son: recarga por lluvia, retornos de riego, pérdidas en la red de abastecimiento, cabecera del barranco principal y desde la zona de intra-caldera. Las salidas son: bombeos y descarga al mar. El borde inferior se define por el flujo nulo en el contacto entre los basaltos alterados y sin alterar. En el cauce de los barrancos se ha impuesto una condición de dren y las extracciones se han localizado según los datos obtenidos de las captaciones de la zona. Los parámetros resultantes de la calibración del modelo, en particular, la transmisividad, son del mismo orden que los obtenidos en estudios previos modelo. Por otro lado, los niveles calculados y observados presentan un buen ajuste y el balance hídrico resulta consistente. ABSTRACT. A groundwater flow model in La Aldea ravine lower part (Gran Canaria) has been developed. The zone has been tridimensionally discretized as cells of 50 x 50 m considering 3 layers. The superficial layer is formed by sedimentary and volcanic materials (Alluvial, screes and altered basalts) and the intermediate and lower layers are basalts. The model has been developed in stationary state for the average hydrologic year 1991/92 and in transitory state for the period of 1991/92-1998/99. The North, South and East limits have been defined as null flow boundary conditions, the coast line has been defined as constant level and the ravine bed at the east has been defined as a constant flow, representing the contribution from the upper ravine basin. Recharge is a result of rainfall, irrigation returns, supply network leaks and inflow from the intra-caldera zone. Discharge takes place by pumping wells and flows towards the sea. The bottom surface is defined as a null flow condition in the limit between altered and unaltered basalts. A drain condition has been imposed in the ravine and the pumping wells extraction has been located. The simulation results indicate that the transmisivities obtained in previous works present the same order of magnitude than the obtained in the model and the calculated levels are in good agreement with the observed levels measurements.

Origin of the groundwater salinization in La Aldea coastal aquifer (Gran Canaria, Canary Islands)

[EN] Groundwater chemistry in La Aldea aquifer (Gran Canaria, Canary Islands) shows high contents of chloride and nitrate ions. The salinization process has been modelled using the geochemical data, taking into account the results of a previous flow model. The results allow to identify the salinity of the recharge from the rainfall under aridity conditions and the irrigation returns like the main causes of the groundwater salinization.

A PDE model for computing the optical flow

[EN] In this paper we present a new model for optical flow calculation using a variational formulation which preserves discontinuities of the flow much better than classical methods. We study the Euler-Lagrange equations asociated to the variational problem. In the case of quadratic energy, we show the existence and uniqueness of the corresponding evolution problem. Since our method avoid linearization in the optical flow constraint, it can recover large displacement in the scene. We avoid convergence to irrelevant local minima by embedding our method into a linear scale-space framework and using a focusing strategy from coarse to fine scales.