Article citationsMore >>

Chen, M.; Li, Z.; Vergara, H.J.; Gourley, J.J.; Xue, M.; Hong, Y.; Hu, X.-M.; Mayol Novoa, H.; Martin, E.R.; McPherson, R.A.; et al. Conus-Wide Model Calibration and Validation for CRESTv3.0 – An Improved Coupled Routing and Excess STorage Distributed Hydrological Model. Journal of Hydrology 2023, 626, 130333.

has been cited by the following article:

Article

Arequipa’s Water in the Short Future: a Hydrologic Outlook in an Arid Peruvian Andes Region Utilizing Hyperresolution RCM and CREST-VEC Model Simulations Under SSP5-8.5

1School of Civil Engineering and Environmental Engineering, University of Oklahoma, Norman, Oklahoma, USA

2Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, Oklahoma, USA

3School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA

4Universidad Nacional de San Agustín de Arequipa, Arequipa, Peru

5Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI), Arequipa, Peru


American Journal of Water Resources. 2025, Vol. 13 No. 2, 51-62
DOI: 10.12691/ajwr-13-2-3
Copyright © 2025 Science and Education Publishing

Cite this paper:
Mengye Chen, Yongjie Huang, Xiao-Ming Hu, Ming Xue, Yang Hong, Hector Mayol Novoa, Elinor R. Martin, Renee A. McPherson, Siyu Zhu, Andres Vitaliano Peraz, José Luis Ticona Jara, Isaac Yanqui Morales. Arequipa’s Water in the Short Future: a Hydrologic Outlook in an Arid Peruvian Andes Region Utilizing Hyperresolution RCM and CREST-VEC Model Simulations Under SSP5-8.5. American Journal of Water Resources. 2025; 13(2):51-62. doi: 10.12691/ajwr-13-2-3.

Correspondence to: Mengye  Chen, School of Civil Engineering and Environmental Engineering, University of Oklahoma, Norman, Oklahoma, USA. Email: mchen15@ou.edu

Abstract

Climate change is anticipated to drastically impact South America differently in different regions. As a climate-vulnerable area, the Peruvian Andes region is projected to have hydrological changes that can potentially devastate the region. Leveraging the output of an existing hyperresolution Regional Climate Model (RCM) and a state-of-art hydrological model (Coupled Routing of Excessive STorage, CREST), this study examines changes in hydrological conditions in 2075-2079 compared to its semi-current state in 2015-2019 in Arequipa region under the Shared Socioeconomic Pathways 5-8.5 (SSP5-8.5) scenarios. The region would face a 19.8% runoff reduction, 83%-86% averaged streamflow reduction, and 37.8 days of wet season duration reduction. The Rio Chili would experience complete “no water” events in 2078 and 2079, and all the 1st order stream reaches would be dry more than 50% of the time between 2075 and 2079 compared to less than 40% of the time in 2015-2019. However, the flood risk would not decrease in the future, with the City of Arequipa expected to face at least one flood event that is more severe than its 2017 and 2019 floods, and Rio Colca would have many more flood events in the future.

Keywords