H51I-1503
Integrated Modelling of Climate Change Impacts in an Irrigated, Semi-arid Catchment
Friday, 18 December 2015
Poster Hall (Moscone South)
Diane von Gunten1, Claus P Haslauer1, Thomas Wöhling2, David L Rudolph3 and Olaf A Cirpka4, (1)University of Tübingen, Tübingen, Germany, (2)Dresden University of Technology, Dresden, Germany, (3)University of Waterloo, Earth and Environmental Sciences, Waterloo, ON, Canada, (4)University of Tübingen, Center for Applied Geosciences, Tübingen, Germany
Abstract:
Predicting the impacts of climate change on hydrological processes is a central challenge for water management. Commonly, studies on climate-change effects focus on surface flow and feed-backs between surface and subsurface flows are neglected frequently. Furthermore, changes in hydrological processes are generally not distributed realistically. Integrated catchment models, based on partial-differential-equations, have the potential of overcoming these difficulties. However, these models are complicated to use in realistic settings, notably because of their long simulation time. In this presentation, we demonstrate a successful application of an integrated catchment model (HydroGeoSphere) in a semi-arid catchment in north-east Spain. The study area recently underwent a transition to irrigated agriculture, which is reflected in our model evaluations conducted under varying irrigation conditions. To accelerate model calibration, we developed a novel calibration method based on a hierarchy of computational grids. The climate scenarios for the region are based on four regional climate models, which are downscaled using a weather generator. These scenarios are used to estimate climate change impacts on hydrologic parameters in different irrigation settings. The effects of climate change strongly depend on the presence of irrigation. Water table depth and low flows are more sensitive to climate change when irrigation is present, while peak flows exhibit a more pronounced response to climate in scenarios without irrigation. In addition to the climatic means, we examined the impacts of changes in drought conditions. We compare the outcomes of droughts predicted by our hydrological model with simpler approaches based on drought indices. We show that drought indices oversimplify future hydrological impacts of droughts and can result in biased estimation of drought impacts, especially if drought indices do not take temperature changes into account.
