Climate change is likely to have an impact on runoff and fluvial sediments in watersheds. These factors are among those used to characterize water bodies in relation to the European Water Framework Directive (WFD). Hence, it is important to investigate the extent to which climate change may hinder the achievement of the objectives of the WFD. We explored the potential impact of climate change on runoff and sediment yield for the Aixola watershed using the Soil and Water Assessment Tool (SWAT). The model calibration (2007-2010) and validation (2005-2006) results were rated as satisfactory. Subsequently, simulations were run for four climate change model-scenario combinations based on two general circulation models (CGCM2 and ECHAM4) under two emissions scenarios (A2 and B2) from 2011 to 2100. All combinations predicted that runoff and sediment yield would decrease compared with baseline (1961-1990). Three combinations suggested that runoff and sediments would decrease by 0.13 to 0.45 m s and 0.11 to 0.43 t every year from 2011 to 2100. However, the CGCM2-B2 scenario resulted in an "extremely likely" increase in runoff and sediments of 0.94 m s and 0.57 t every year. These variations in annual sediment yield are closely related to changes in precipitation. The high degree of uncertainty in the results must be considered when assessing potential impacts and making decisions about adaptation measures. Nevertheless, this first attempt to estimate future sediment yields in our region could be a useful starting point to explore future hydrological impacts in the area.

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Modeling is a useful way to understand human and climate change impacts on the water resources of agricultural watersheds. Calibration and validation methodologies are crucial in forecasting assessments. This study explores the best calibration methodology depending on the level of hydrological alteration due to human-derived stressors. The Soil and Water Assessment Tool (SWAT) model is used to evaluate hydrology in South-West Europe in a context of intensive agriculture and water scarcity. The Index of Hydrological Alteration (IHA) is calculated using discharge observation data. A comparison of two SWAT calibration methodologies are done; a conventional calibration (CC) based on recorded in-stream water quality and quantity and an additional calibration (AC) adding crop managements practices. Even if the water quality and quantity trends are similar between CC and AC, water balance, irrigation and crop yields are different. In the context of rainfall decrease, water yield decreases in both CC and AC, while crop productions present opposite trends (+33% in CC and −31% in AC). Hydrological performance between CC and AC is correlated to IHA: When the level of IHA is under 80%, AC methodology is necessary. The combination of both calibrations appears essential to better constrain the model and to forecast the impact of climate change or anthropogenic influences on water resources.

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