4.6 Article

Modelling Snowmelt Runoff from Tropical Andean Glaciers under Climate Change Scenarios in the Santa River Sub-Basin (Peru)

Journal

WATER
Volume 13, Issue 24, Pages -

Publisher

MDPI
DOI: 10.3390/w13243535

Keywords

Cordillera Blanca (CB); glaciers; climate change; water; Google Earth Engine (GEE); snowmelt runoff model (SRM)

Funding

  1. Universidad Nacional Agraria La Molina (UNALM)
  2. Universidad Nacional del Altiplano de Puno (UNAP)
  3. Instituto Nacional de Innovacion Agraria (INIA)

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The effects of climate change, such as decreased precipitation and increased temperature, have led to sharp declines in glaciers and increased surface runoff due to snowmelt in various regions. The study applied the snowmelt runoff model (SRM) along with other climatic data to model snowmelt runoff in the Santa River sub-basin and projected future runoff under different climate change scenarios. The results showed consistent patterns of runoff changes, with decreases in summer months and increases throughout the rest of the year, with substantial increases projected in early months and lower records in summer.
Effects of climate change have led to a reduction in precipitation and an increase in temperature across several areas of the world. This has resulted in a sharp decline of glaciers and an increase in surface runoff in watersheds due to snowmelt. This situation requires a better understanding to improve the management of water resources in settled areas downstream of glaciers. In this study, the snowmelt runoff model (SRM) was applied in combination with snow-covered area information (SCA), precipitation, and temperature climatic data to model snowmelt runoff in the Santa River sub-basin (Peru). The procedure consisted of calibrating and validating the SRM model for 2005-2009 using the SRTM digital elevation model (DEM), observed temperature, precipitation and SAC data. Then, the SRM was applied to project future runoff in the sub-basin under the climate change scenarios RCP 4.5 and RCP 8.5. SRM patterns show consistent results; runoff decreases in the summer months and increases the rest of the year. The runoff projection under climate change scenarios shows a substantial increase from January to May, reporting the highest increases in March and April, and the lowest records from June to August. The SRM demonstrated consistent projections for the simulation of historical flows in tropical Andean glaciers.

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