Bibliographic citations
Neciosup, D., Simon, D. (2024). Modelamiento hidrológico para medir el impacto del cambio climático de la cuenca del río Pachitea - Huánuco [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/675247
Neciosup, D., Simon, D. Modelamiento hidrológico para medir el impacto del cambio climático de la cuenca del río Pachitea - Huánuco [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/675247
@misc{renati/502551,
title = "Modelamiento hidrológico para medir el impacto del cambio climático de la cuenca del río Pachitea - Huánuco",
author = "Simon Casimiro, Diana Nicoletty",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
The hydrological cycle has taken on greater relevance within hydrological research and water resources due to its constant change. Climate change has modified the properties and characteristics of the water balance, causing the hydrological cycle to vary. For this project, hydrological modeling is carried out with the SWAT tool in order to verify the behavior of the flow with respect to the proposed climate change scenario (CMIP 6 – SSP 585), in which the future climate change of the year 2035-2065 is being considered in order to determine the impact that the proposed scenario could generate in the study area. The flow results obtained by SWAT, having calibrated, and validated in SWAT-CUP, the result of 5.8 with 500 iterations is obtained by PBIAS, qualifying it as “Very good” for the years 2001 to 2016. Finally, already applying the proposed climate change scenario with the validated values, it was observed that, with respect to precipitation, in the months of June, August and September there will be a greater delta variation (parameter that indicates the monthly percentage of variation climate). Likewise, from the analysis carried out for precipitation and temperature, the climate change scenarios were applied to the values already calibrated and validated, resulting in precipitation increasing by 119.44% compared to the current scenario, varying by 753.7 mm.
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