153 shared publications
98 shared publications
The University of Geneva; Institute for Environmental Sciences; Geneva Switzerland
96 shared publications
Environmental Physics Laboratory (EphysLab), Facultad de Ciencias, Universidade de Vigo, 32004 Ourense, Spain
73 shared publications
Estación Experimental de Aula Dei; Consejo Superior de Investigaciones Científicas (EEAD-CSIC); Zaragoza Spain
56 shared publications
Bren School of Environmental Science & Management, University of Santa Barbara, Santa Barbara, CA 93117, USA
(2003 - 2018)
The water management of Boadella-Darnius reservoir (NE Spain) has been analysed for the period 1971-2013 to understand the different strategies applied in the past. Streamflow has been projected under climate conditions included in the Third Report on Climate Change in Catalonia (TCCC) and under land-use change scenarios. We have simulated Darnius-Boadella reservoir inflow (2021-2050) using the Regional Hydro-Ecologic Simulation System (RHESsys) with two objectives: (i) to analyse the impact of climate and land-use changes on the water resources of the basin and (ii) to analyse the different plausible strategies of water management at mid-term period (2021-2050). Results reveal a clear negative trend in dam inflow (-34.7%) since it was built in 1971. The simulations obtained with RHESsys show a similar trend at mid-term (2021-2050) with -31.1% under climate and land-use change conditions. Considering the ecological minimum flow outlined by Catalan Water Agency (ACA) and the possible dam inflow decrease, different water management strategies are needed to mitigate the effects of the expected climate change.
We develop for the first time maps of annual and seasonal extreme precipitation risk in the Andean region of Peru. For this purpose, we used the complete daily precipitation records existing in Peru and after a careful quality control and homogeneity checking we selected 178 stations distributed across the mountainous chain. In each meteorological station, we obtained series of events of de-clustered daily intensity, total precipitation duration, total magnitude and dry-spell length. Using a peak-over-threshold approach we fitted the annual and seasonal series of these variables to a Generalized-Pareto distribution, obtained the distribution parameters and validated the performance of different thresholds to obtain reliable estimations of the precipitation probability. We found that a 90th percentile is in general the most suitable to develop the estimations for the different variables. The parameters obtained in the different meteorological stations were mapped using a universal krigging approach using the elevation and the distance to the ocean as co-variables. Maps of parameters were validated using a jack-knife approach and maximum expected precipitation intensity, magnitude, duration and dry-spell length estimated for a period of 25 and 50 years. The reliability of the spatial methodology was validated comparing observed precipitation and estimated by the spatial modelling in the different stations.