Citas bibligráficas
León, R., (2017). Modelación de la disponibilidad hídrica del río Piura, considerando la incidencia del cambio climático [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/2877
León, R., Modelación de la disponibilidad hídrica del río Piura, considerando la incidencia del cambio climático [Tesis]. : Universidad Nacional Agraria La Molina; 2017. https://hdl.handle.net/20.500.12996/2877
@misc{renati/244717,
title = "Modelación de la disponibilidad hídrica del río Piura, considerando la incidencia del cambio climático",
author = "León Ochoa, Ricardo Fernando",
publisher = "Universidad Nacional Agraria La Molina",
year = "2017"
}
Thefifth assessment reportof climate change (AR5) bythe Intergovernmental Panel on Climate Change(IPCC), reiterates the future risks of climate change in our hydrological systems and the threat of a severe reduction in water availability in the near future.Due to global variation of the weather that has been expressed in the form of changes in temperature and precipitation in the last decade. Indeed, one of the research methods to assess the risks of water resources due to climatic variations, it is combining the hydrological modeling with greenhouse emission scenarios to simulate the water behavior in watersheds. In this study, the Soil Water Assessment Tool (SWAT) model has been applied to investigate future hydrological behavior in the middle and upper Piura river basin for the middle of the XXI century. The SWAT model was calibrated and validated for a period of 23 years (1986 to 2008); getting Nash-Sutcliffe (NSE) values and coefficients of determination (R2) above 75 percent in both, depicting reasonably good model performance. The main climatic variables were projected with two radiative forcing scenarios RCP4.5 and RCP8.5 of two global climate models (MCG) HADGEM2-ES and CSIRO-Mk3-6-0, from Coupled Model Intercomparison Project Phase 5 (CMIP5), using the weather generator MarkSim, defining four future scenarios in total. Humid periods (October to April) and dry periods (May to September) were analyzed, as was the annual period. The result shows that the average trend of total projections indicates an increase in runoff of + 71.8% for the wet period, representing an approximate 55.9 m3/s; and the highest increases would occurred in October, November and December. Whereas, the dry period decreases by -66.1%, which represents an approximate decrease of 12 m3/s,and the largest decreases would occurred in July, August and September.
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