2015
DOI: 10.5194/hess-19-1069-2015
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Drought severity–duration–frequency curves: a foundation for risk assessment and planning tool for ecosystem establishment in post-mining landscapes

Abstract: Abstract. Eastern Australia has considerable mineral and energy resources, with areas of high biodiversity value co-occurring over a broad range of agro-climatic environments. Lack of water is the primary abiotic stressor for (agro)ecosystems in many parts of eastern Australia. In the context of mined land rehabilitation quantifying the severityduration-frequency (SDF) of droughts is crucial for successful ecosystem rehabilitation to overcome challenges of early vegetation establishment and long-term ecosystem… Show more

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Cited by 68 publications
(40 citation statements)
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References 88 publications
(106 reference statements)
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“…The modelling of return period of drought events is vital for water resources management and drought adaptation. Previous studies by Shiau and Modarres (), Shiau (), Serinaldi et al (), and Halwatura et al () provide useful information on estimation of bivariate return periods for drought frequency analysis. In Equation , the expression for conditional return period T S ∣ D ( d ) is presented.…”
Section: Resultssupporting
confidence: 60%
“…The modelling of return period of drought events is vital for water resources management and drought adaptation. Previous studies by Shiau and Modarres (), Shiau (), Serinaldi et al (), and Halwatura et al () provide useful information on estimation of bivariate return periods for drought frequency analysis. In Equation , the expression for conditional return period T S ∣ D ( d ) is presented.…”
Section: Resultssupporting
confidence: 60%
“…As reported in Halwatura et al [12], drought periods can be characterized from a few hours (short-term) to millennia (long-term). The time lag between the beginning of a period of water scarcity and its impact on socio-economic and/or environmental assets is referred to as the timescale of a drought [13].…”
Section: Introductionmentioning
confidence: 86%
“…e derived drought variables [54,55] based on the Run eory follow the de nitions ( Figure 2). Drought duration is de ned as the number of months from the rst month in which the indicator goes lower than −1 to the last month with a negative value before the indicator returns to positive values.…”
Section: Drought Variablesmentioning
confidence: 99%