NG22A-06
Encoding and simulation of daily rainfall records via adaptations of the fractal multifractal method
Tuesday, 15 December 2015: 11:45
300 (Moscone South)
Mahesh Maskey1, Carlos E Puente1, Bellie Sivakumar2 and Andrea Cortis3, (1)University of California Davis, Davis, CA, United States, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia, (3)AYASDI Inc., Houston, TX, United States
Abstract:
A deterministic geometric approach, the fractal-multifractal (FM) method, is adapted to encode and simulate daily rainfall records exhibiting noticeable intermittency. Using data sets gathered at Laikakota in Bolivia and Tinkham in Washington State, USA, it is demonstrated that the adapted FM approach can, within the limits of accuracy of measured sets and using only a few geometric parameters, encode and simulate the erratic rainfall records reasonably well. The FM procedure does not only preserve the statistical attributes of the records such as histogram, entropy function and distribution of zeroes, but also captures the overall texture inherent in the rather complex intermittent sets. As such, the FM deterministic representations may be used to supplement stochastic frameworks for data coding and simulation.
