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Can climate knowledge enable Warragamba Dam, Sydney, Australia to be used to manage flood risk?
Indexado
WoS WOS:001106903200001
Scopus SCOPUS_ID:85179177069
DOI 10.1088/1748-9326/AD0AFB
Año 2023
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Dams that serve a dual purpose of water supply and flood mitigation operate to maintain a defined full supply level of water that balances the two conflicting requirements. To optimize the use of available storage space, the full supply level may be adjusted to reflect changing risks of future water shortages and future flood inflows based on known seasonal variations and current observations. The Warragamba Dam in eastern Australia is located upstream of the populated Hawkesbury-Nepean valley which has one of the largest flood exposures in the country. However, the operating protocol of the reservoir does not include provisions to reduce the full supply level of the dam for flood mitigation. Large scale climate indicators that are known to influence the hydroclimate of this region may potentially contain useful information to inform the dual use of this reservoir, but their utility for this purpose has not been studied. Here we explore whether current observations of large-scale climate along with antecedent catchment conditions can be used to estimate the probability of large inflows into the reservoir in the next 3- and 6 months, to aid flood management. We find that the predictors have a substantial influence on the probability of large inflows. The probability differences during opposite predictor phases vary by season and range from 30% to 70%. Our results indicate that considering current climate information to inform dual use of the Warragamba dam has merit.

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Disciplinas de Investigación



WOS
Environmental Sciences
Meteorology & Atmospheric Sciences
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Devanand, Anjana - UNSW - Australia
CSIRO Environm - Australia
UNSW Sydney - Australia
2 Pitman, Andy J. Hombre UNSW - Australia
UNSW Sydney - Australia
3 Carvajal, Guido Hombre Universidad Nacional Andrés Bello - Chile
4 Khan, Stuart J. Hombre UNSW - Australia
UNSW Sydney - Australia

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Financiamiento



Fuente
Australian Government
National Computational Infrastructure
ARC Centre of Excellence for Climate Extremes
Climate Extremes

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Agradecimientos



Agradecimiento
We acknowledge funding from the ARC Centre of Excellence for Climate Extremes (CE170100023). This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.
We acknowledge funding from the ARC Centre of Excellence for Climate Extremes (CE170100023). This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.

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