Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Can climate knowledge enable Warragamba Dam, Sydney, Australia to be used to manage flood risk

Dados Bibliográficos

ID15549561
AutoresAnjana Devanand (0000-0001-9422-3894, UNSW Sydney, autor correspondente), A J Pitman (0000-0003-0604-3274, UNSW Sydney), Guido Carvajal (0000-0002-5870-3177, Universidad Andres Bello), Stuart J Khan (0000-0001-5147-145X, UNSW Sydney)
Ano2023
Volume18
Fascículo12
Páginas124044-124044
Data de publicação2023-11-08
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad0afb
OpenAlexW4388483575
IdiomaEN
Referências citadas50

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

Climate change · Current (fluid · Environmental resource management · Flood myth · Flood risk management · Geography · Hydrology (agriculture · Scale (ratio · Water resource management · Water supply · Engineering · Environmental Science · Flood Risk Assessment and Management · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Environmental Engineering · Geology

  • Generalized Collinearity Diagnostics

    John Fox, Georges Monette•Journal of the American…•1992

  • A dipole mode in the tropical Indian Ocean

    Open Access•N H Saji, B N Goswami et al.•Nature•1999

  • Collinearity diagnostics of binary logistic regression model

    Habshah Midi, S K Sarkar et al.•Journal of Interdisciplinary…•2010

  • The Millennium Drought in southeast Australia (2001–2009)

    Open Access•Albert I J M van Dijk, Hylke E Beck et al.•Water Resources Research•2013

  • Interactive influence of Enso and IOD on contiguous heatwaves in Australia

    Open Access•P Jyoteeshkumar Reddy, Sarah Perkins‐Kirkpatrick et al.•Environmental Research Letters•2021

Velocidade de citaçãohistorical
Altamente citadoNão
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae