Parameter determination of <i>Sesuvium portulacastrum</i> based on simulated annealing

Liu Haozhen; Jiao Haifeng; Shi Xizhi; Wang Yinong; You Zhongjie

doi:10.3969/j.issn.0253-4193.2019.04.010

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Liu Haozhen, Jiao Haifeng, Shi Xizhi, Wang Yinong, You Zhongjie. Parameter determination of Sesuvium portulacastrum based on simulated annealing[J]. Haiyang Xuebao, 2019, 41(4): 109-118. doi: 10.3969/j.issn.0253-4193.2019.04.010

Citation:

Liu Haozhen, Jiao Haifeng, Shi Xizhi, Wang Yinong, You Zhongjie. Parameter determination of Sesuvium portulacastrum based on simulated annealing[J]. Haiyang Xuebao, 2019, 41(4): 109-118. doi: 10.3969/j.issn.0253-4193.2019.04.010

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Parameter determination of Sesuvium portulacastrum based on simulated annealing

doi: 10.3969/j.issn.0253-4193.2019.04.010

1.
School of Marine Science, Ningbo University, Ningbo 315823, China
2.
Ningbo Academy of Oceanology and Fisheries, Ningbo 315103, China
3.
School of Marine Science, Ningbo University, Ningbo 315823, China;Ningbo Academy of Oceanology and Fisheries, Ningbo 315103, China

Received Date: 2018-01-03
Rev Recd Date: 2018-02-26

Abstract

Abstract

In order to determine the parameters related to the growth of Sesuvium portulacastrum, hydroponic experiments are performed on the S. portulacastrum to continuously monitor the growth of S. portulacastrum and the status of ecological factors. Considering nutrient cycling, the model of S. portulacastrum is constructed based on first order attenuation pattern. The global qualitative sensitivity analysis using Morris method based on the simplex experimental design shows that the parameters sensitive to all state variables are ammonia nitrogen nitrification rate and mineralization constant of organic nitrogen, indicating that the model is mainly dominated by the nitrogen circulation system. The optimum illumination is the most sensitive parameter for the growth of S. portulacastrum, and light is the most important ecological factor that affects the growth of the S. portulacastrum. Based on the minimum mean squared error, the simulated annealing algorithm is used to optimize and determine the parameters of the model, and multiple indicators are selected to evaluate the model. The results show that the simulated values can be well fitted with the measured values, and the maximum mean absolute percentage error is 5.023%. It is found that the absorption of the S. portulacastrum to NO₃-N has a certain bias to the parameter analysis, and it has high tolerance to phosphorus. The growth rate of S. portulacastrum is fast, and it has a certain development prospect.
- Sesuvium portulacastrum,
- growth model,
- Morris sensitivity analysis,
- simulated annealing algorithm,
- parameter determination

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References(38)

References

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