%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Rau, P.
%A Bourrel, Luc
%A Labat, D.
%A Ruelland, D.
%A Frappart, F.
%A Lavado, W.
%A Dewitte, Boris
%A Felipe, O.
%T Assessing multidecadal runoff (1970-2010) using regional hydrological modelling under data and water scarcity conditions in Peruvian Pacific catchments
%D 2019
%L fdi:010074822
%G ENG
%J Hydrological Processes
%@ 0885-6087
%K data and water scarcity ; GR1A ; GR2M ; hydrological modelling ; Peru ; regional runoff
%K PEROU ; PACIFIQUE
%M ISI:000453677200002
%N 1
%P 20-35
%R 10.1002/hyp.13318
%U https://www.documentation.ird.fr/hor/fdi:010074822
%> https://www.documentation.ird.fr/intranet/publi/2019/01/010074822.pdf
%V 33
%W Horizon (IRD)
%X 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 m(3)/s to the Pacific Ocean is estimated with a significant increasing trend of about 43 m(3)/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.
%$ 062 ; 020