Title
Assessing multidecadal runoff (1970–2010) using regional hydrological modelling under data and water scarcity conditions in Peruvian Pacific catchments
Date Issued
01 January 2019
Access level
open access
Resource Type
journal article
Publisher(s)
John Wiley and Sons Ltd
Abstract
In a context of water scarcity in Peruvian Pacific catchments as a crucial issue for Peru, added to the paucity of data availability, we propose a methodology that provides new perspectives for freshwater availability estimation as a base reference for unimpaired conditions. Under those considerations, a regional discharge of 709 m3/s to the Pacific Ocean is estimated with a significant increasing trend of about 43 m3/s per decade over the 1970–2010 period. To represent the multidecadal behaviour of freshwater runoff along the region, a regional runoff analysis is proposed based on hydrological modelling at annual and monthly time step for unimpaired conditions over the whole 1970–2010 period. Differential Split-Sample Tests are used to assess the hydrological modelling robustness of the GR1A and GR2M conceptual lumped models, showing a satisfactory transposability from dry to wet years inside the thresholds defined for Nash–Sutcliffe and bias criteria. This allowed relating physical catchment characteristics with calibrated and validated model parameters, thus offering a regional perspective for dryland conditions in the study area (e.g., the anticlockwise hysteresis relationship found for seasonal precipitation–runoff relationship) as well as the impacts of climate variability and catchment characteristics.
Start page
20
End page
35
Volume
33
Issue
1
Language
English
OCDE Knowledge area
Oceanografía, Hidrología, Recursos hídricos
Scopus EID
2-s2.0-85057600483
Source
Hydrological Processes
ISSN of the container
08856087
Sponsor(s)
This work was supported by the Peruvian Ministry of Education (MINEDU-PRONABEC, scholarship). The authors would like to thank the National Meteorological and Hydrological Service of Peru (SENAMHI) for providing them complete hydrometeorological raw datasets. Boris Dewitte acknowledges support from Fondecyt (project 1171861). This work was supported by the Peruvian Ministry of Education (MINEDU‐PRONABEC, scholarship). The authors would like to thank the National Meteorological and Hydrological Service of Peru (SENAMHI) for providing them complete hydrometeorological raw datasets. Boris Dewitte acknowledges support from Fondecyt (project 1171861).
Sources of information: Directorio de Producción Científica Scopus Servicio Nacional de Meteorología e Hidrología del Perú