Deterministic simulation of highly intermittent hydrologic time series

作者：Maskey Mahesh L; Puente Carlos E^*; Sivakumar Bellie

来源：Stochastic Environmental Research and Risk Assessment, 2017, 31(10): 2719-2732.

DOI：10.1007/s00477-016-1343-2

• Rainfall
• Simulation
• Intermittency
• Fractals
• Fractal-multifractal approach
• Inverse problem
• Particle swarm optimization

Application of a deterministic geometric approach for the simulation of highly intermittent hydrologic data is presented. Specifically, adaptations of the fractal-multifractal (FM) method and a Cantorian extension are advanced in order to simulate rainfall records measured at the daily scale and encompassing a water year. It is shown, using as case studies 2 years of rainfall sets gathered in Laikakota, Bolivia and Tinkham, Washington, USA, that the FM approach, relying on only at most 8 parameters, is capable of closely preserving either the whole record's histogram (therefore including moments), the whole data's R,nyi entropy function and/or the maximum number of consecutive zero values present in the sets, resulting in suitable rainfall simulations, whose overall features and textures are similar to those of the observed sets. The study hence establishes the possibility of simulating highly intermittent sets in time in a deterministic and holistic way as a novel parsimonious methodology to supplement available stochastic frameworks.

• 出版日期2017-12