IAHS2022-270, updated on 23 Sep 2022
IAHS-AISH Scientific Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Time Asymmetry and Stochastic Modelling of Streamflow

Stelios Vavoulogiannis, Theano Iliopoulou, Panayiotis Dimitriadis, and Demetris Koutsoyiannis
Stelios Vavoulogiannis et al.
  • National Technical University of Athens, Civil Engineering, Athens, Greece

Time asymmetry, i.e., temporal irreversibility, has a very important role in many scientific fields and has been studied thoroughly. Its detection in time series indicates the need to preserve it in stochastic simulations. This also seems to be the case for the streamflow process in hydrological simulation. Relevant large-scale studies have shown that time asymmetry of the streamflow is absolutely evident at small scales (hours) and vanishes only at larger scales (several days). The latter highlights the need to reproduce it in flood simulations of fine-scale resolution. To this aim, an enhancement of a recently proposed simulation algorithm for irreversible processes was developed, based on an asymmetric moving average (AMA) scheme that allows for the explicit preservation of time asymmetry at two or more timescales simultaneously. The method is tested through some case studies from around the world to further explore the method’s strengths and limitations and to examine the stochastic characteristics of the simulated results.

How to cite: Vavoulogiannis, S., Iliopoulou, T., Dimitriadis, P., and Koutsoyiannis, D.: Time Asymmetry and Stochastic Modelling of Streamflow, IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-270, https://doi.org/10.5194/iahs2022-270, 2022.