Research on the Optimization of Model Parameters Based on Particle Filter
- https://doi.org/10.2991/cmsa-18.2018.35How to use a DOI?
- computer simulation; parameter optimization; particle filter
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.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Weinan Cui AU - Chong Chen AU - Xiangli Cui AU - Qian He AU - Mingda Zhu PY - 2018/04 DA - 2018/04 TI - Research on the Optimization of Model Parameters Based on Particle Filter BT - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018) PB - Atlantis Press SP - 150 EP - 155 SN - 1951-6851 UR - https://doi.org/10.2991/cmsa-18.2018.35 DO - https://doi.org/10.2991/cmsa-18.2018.35 ID - Cui2018/04 ER -