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Parameter estimation of soil water retention curve with Rao-1 algorithm

Authors

Zhongju Wang
School of Computer and Communication Engineering, University of Science and Technology Beijing, China.
Chao Huang
School of Computer and Communication Engineering, University of Science and Technology Beijing, China.
Long Wang
lwang@ustb.edu.cn
School of Computer and Communication Engineering, University of Science and Technology Beijing; Shunde Graduate School, University of Science and Technology Beijing, Foshan, China.

The soil water retention curve (SWRC) has a significant role in determining the unsaturated properties of soil. A stochastic optimisation algorithm named Rao-1 algorithm is employed to estimate the parameters of the SWRC model in this paper. The Rao-1 algorithm is a simple heuristic search algorithm containing only addition and multiplication operations. This paper introduces the method and its application in determining soil water retention this model parameters in detail. In this study, the van Genuchten model is used to depict the SWRC for its good fitting capacity, and the van Genuchten model parameters are determined using Rao-1 algorithm. The feasibility and efficiency of the proposed method are validated via the experimental results of 24 soil samples of 12 soil textural classes. Besides, the performance of Rao-1 algorithm is compared with that of salp swarm algorithm, the particle swarm optimization algorithm, differential evolution algorithm, and RETC program. Through comparative analysis, Rao-1 algorithm outperforms other methods in determining SWRC parameters.

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How to Cite

Wang, Z., Huang, C. and Wang, L. (2022) “Parameter estimation of soil water retention curve with Rao-1 algorithm”, Journal of Agricultural Engineering, 53(2). doi: 10.4081/jae.2022.1283.
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