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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/42916
Title: Climate change impacts on hydrometeorological and river hydrological extremes in Quito, Ecuador
Authors: Nuñez Mejia, Santiago Xavier
Keywords: Statistical downscaling
Temporal downscaling
Sub-daily precipitation extremes
Climate change
Conceptual hydrological models
IDF curves
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 1. Ciencias Naturales y Exactas
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 1.5.8 Ciencias del Medioambiente
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 1.5 Ciencias de la Tierra y el Ambiente
metadata.dc.ucuenca.areaconocimientounescoamplio: 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas
metadata.dc.ucuenca.areaconocimientounescodetallado: 0521 - Ciencias Ambientales
metadata.dc.ucuenca.areaconocimientounescoespecifico: 052 - Medio Ambiente
Issue Date: 2023
metadata.dc.ucuenca.volumen: Volúmen 49, número 0
metadata.dc.source: Journal of Hydrology: Regional Studies
metadata.dc.identifier.doi: 10.1016/j.ejrh.2023.101522
metadata.dc.type: ARTÍCULO
Abstract: 
Study region: Quito, Ecuador Study focus: The study region faces two water-related challenges, which, to date, have only been studied to a minimal extent: extreme precipitation events and water shortage in the dry season. This study investigates the current conditions and future changes in short-duration events, low river discharges and associated uncertainties. Daily precipitation and temperature projections from 19 state-of-the-art global climate models (CMIP6) and four future scenarios (SSP1–2.6, SSP2–4.5, SSP3–7.0 and SSP5–8.5) are downscaled with delta change and more advanced quantile perturbation methodologies. Temporal disaggregation is applied to obtain sub-daily precipitation with five extreme value distributions (EVDs). Three conceptual hydrological models are implemented to quantify the impacts on river flows. Variance decomposition is applied to estimate the uncertainty share of climate models, hydrological models, and EVDs in the results. New hydrological insights: The results indicate an intensification of extreme precipitation events, with short-duration events expected to be more intense by up to 30% in the near future (2021–2050) and up to 60% in the far future (2070–2099). The river peak discharges are projected to increase by 5–20% and 10–50% in the near and far future, respectively. On the contrary, the low river flows are projected to decrease by 0–13% and 0–30% for the respective time horizons. Overall, climate models are the dominant source of uncertainty. © 2023 The Authors
URI: http://dspace.ucuenca.edu.ec/handle/123456789/42916
https://www.scopus.com/record/display.uri?eid=2-s2.0-85170423408&doi=10.1016%2fj.ejrh.2023.101522&origin=inward&txGid=fdbd60104786b6b04124b0adf187ed5c
metadata.dc.ucuenca.urifuente: https://www.sciencedirect.com/journal/journal-of-hydrology-regional-studies
ISSN: 2214-5818
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