Deterministic and stochastic generation of evaporation data for long-term mine pit lake water balance modelling

HIGHLIGHTS

  • who: Kristian Mandaran and colleagues from the Sustainable Minerals Institute, The University of Queensland, Brisbane, QLD, Australia have published the research work: Deterministic and Stochastic Generation of Evaporation Data for Long-Term Mine Pit Lake Water Balance Modelling, in the Journal: Water 2022, 4123 of 11/Nov/2017
  • what: The stationary nature of the model presented limitations in capturing interannual anomalies with continuous periods of up to 6 years where the modelled annual rainfall was consistently lower and modelled annual evaporation consistently higher than the historical values. The aims of this paper are: Assess deterministic . . .

     

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