| Title: | Using SWAT and fuzzy TOPSIS to assess the impact of climate change in the headwaters of the Segura River Basin (SE Spain) |
| Authors: | Senent-Aparicio, J., J. Pérez-Sánchez, J. Carrillo-García and J. Soto |
| Year: | 2017 |
| Journal: | Water |
| Volume (Issue): | 9(2) |
| Pages: | |
| Article ID: | 149 |
| DOI: | 10.3390/w9020149 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | climate change assessment |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 235 km^2 Segura River headwaters, located in the southeastern region of Spain. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | The Segura River Basin is one of the most water-stressed basins in Mediterranean Europe. If we add to the actual situation that most climate change projections forecast important decreases in water resource availability in the Mediterranean region, the situation will become totally unsustainable. This study assessed the impact of climate change in the headwaters of the Segura River Basin using the Soil and Water Assessment Tool (SWAT) with bias-corrected precipitation and temperature data from two Regional Climate Models (RCMs) for the medium term (2041–2070) and the long term (2071–2100) under two emission scenarios (RCP4.5 and RCP8.5). Bias correction was performed using the distribution mapping approach. The fuzzy TOPSIS technique was applied to rank a set of nine GCM–RCM combinations, choosing the climate models with a higher relative closeness. The study results show that the SWAT performed satisfactorily for both calibration (NSE = 0.80) and validation (NSE = 0.77) periods. Comparing the long-term and baseline (1971–2000) periods, precipitation showed a negative trend between 6% and 32%, whereas projected annual mean temperatures demonstrated an estimated increase of 1.5–3.3 °C. Water resources were estimated to experience a decrease of 2%–54%. These findings provide local water management authorities with very useful information in the face of climate change. |
| Language: | English |
| Keywords: | water resources; SWAT model; climate change; Segura Basin; fuzzy TOPSIS |