Research on the Optimization of Model Parameters Based on Particle Filter
Weinan Cui, Chong Chen, Xiangli Cui, Qian He, Mingda Zhu · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2018
With the significant advancements in Information and Communications Technology (ICT), computer simulations have been widely used in natural sciences and engineering analysis.Algorithms for parameters optimization in computer models have been necessity in computer modeling due to the accuracy requirements.As a principal branch of computer models, hydrological models have been a fundamental method for researching hydrological processes.In this paper, a computer model of the groundwater system in the middle reaches of the Heihe River Basin was established.Geological features of different regions were characterized by sub-zones of parameters in the model which were optimized by Particle Filter.The effectiveness for Particle Filter of optimizing the parameters of numerical models was verified.The results indicated significant improvements of parameters after 100 time-steps which converged to optimal value.Meanwhile, the difference between simulated and observed groundwater level was reduced along with the parameters convergence.