南海北部海洋生态模型的参数分析及遗传算法优化

doi:10.11978/2019054

Abstract

Abstract:

Marine ecosystem dynamics model is an important means to study marine ecological environment. As the model complexity increases, the number and uncertainty of biological parameters increase, which has a great impact on model results; therefore, optimization of model parameters is particularly important. In this paper, a one-dimensional physical-biological model is applied to the northern South China Sea, and the key biological parameters obtained through sensitivity analysis are optimized by using genetic algorithm. The results show that the sensitive parameters in the model are related to phytoplankton growth, zooplankton growth, feeding and death, and detritus sinking. Based on the genetic algorithm optimization of the above-mentioned parameters, we find that the surface and vertical simulation errors of the model are reduced by 27.80% and 21.40%, respectively, by using only surface satellite data; the surface and vertical simulation errors are reduced by 14.90% and 32.70%, respectively, by adding observed profile data. The success of applying genetic algorithm in the one-dimensional model provides the basis for its further application in three-dimensional marine ecosystem models.

Key words: northern South China Sea, marine ecosystem model, genetic algorithm, parameter optimization

CLC Number:

P731

Chan SHU, Bingxu GENG, Weiwei FANG, Peng XIU. Parameter analysis and optimization using genetic algorithm in a marine ecosystem model of the northern South China Sea[J].Journal of Tropical Oceanography, 2020, 39(2): 98-106.

Figures/Tables 8

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References 38

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参数	描述/(单位)	取值	敏感度
akz2	Z2捕食半饱和常数/(mmol_N·m^-3)	0.25	-16.55
reg2	Z2铵盐排出速率/d^-1	0.05	-2.00
Chl2cs2_m	S2叶绿素同碳比值最大值/(mg_Chl·mg_C^-1)	6.50×10^-2	-1.59
beta2	Z2最大捕食速率/d^-1	0.53	1.11
bgamma2	Z2捕食效率	0.75	1.11
bgamma1	Z1捕食效率	0.75	1.04
beta1	Z1最大捕食速率/d^-1	0.80	1.01
Chl2cs1_m	S1叶绿素同碳比值最大值/(mg_Chl mg_C^-1)	6.50×10^-2	0.99
wsd	碎屑下沉速率/(m·d^-1)	10.00	-0.84
aknh4s1	S1吸收铵盐半饱和常数/(mmol_N·m^-3)	0.05	0.71
akz1	Z1捕食半饱和常数/(mmol_N·m^-3)	0.50	0.64
reg1	Z1铵盐排出速率/d^-1	0.10	0.49
bgamma5	碎屑衰减速率/d^-1	0.05	0.45
gmaxs1	S1最大特征生长速率/d^-1	2.00	0.37
gmaxs2	S2最大特征生长速率/d^-1	3.00	0.27
amaxs1	S1 P-I曲线初始斜率/(m²·W^-1·d^-1)	2.50×10^-2	-0.26
akox	氧化作用半饱和常数/(mmol_O·m^-3)	30.00	0.23
ak2	浮游植物特征光衰减速率/(m²·mmol^-1)	0.03	0.22
akno3s1	S1吸收硝酸盐半饱和常数/(mmol_N·m^-3)	1.00	-0.22
akno3s2	S2吸收硝酸盐半饱和常数/(mmol_N·m^-3)	2.00	0.21
pis2	S2铵盐抑制系数	3.00	0.14
bgamma4	S2死亡率/d^-1	0.01	0.18
wsp	S2下沉速率/(m·d^-1)	1.00	0.13
bgamma0	Z2特征死亡率/d^-1	0.08	-0.13
aksio4s2	S2吸收硅酸盐半饱和常数/(mmol·m^-3)	4.00	0.13
parsats1/s2	S1/S2光合有效辐射饱和初始参数/(W·m^-2)	40.00	0.13
akpo4s1/s2	S1/S2吸收硝酸盐半饱和常数/(mmol·m^-3)	0.08	0.13
akco2s1/s2	S1/S2吸收二氧化碳半饱和常数/(mmol·m^-3)	500.00	0.13
wsdsi	碎屑硅下沉速率/(m·d^-1)	60.00	0.13
bgamma7	硝化作用速率/d^-1	0.08	0.10
pis1	S1铵盐抑制系数	1.50	0.08
bgamma6	浮游植物凝聚速率/d^-1	0.05	0.05
bgamma3	S1死亡率/d^-1	0.01	0.02

参数	bgamma2	akz2	beta2	bgamma1	Chl2cs1_m	wsd	reg2	amaxs1	gmaxs1
r²	0.11	0.09	0.06	0.04	0.03	0.02	0.02	0.01	0.01
下限	0.37	0.12	0.25	0.37	0.03	5.00	0.02	0.01	1.00
上限	1.00	0.50	1.00	1.00	0.08	20.00	0.10	0.05	4.00

参数	bgamma2	akz2	beta2	bgamma1	Chl2cs1_m	wsd	reg2	amaxs1	gmaxs1
控制模型取值	0.75	0.25	0.53	0.75	6.50×10^-2	10.00	0.05	2.50×10^-2	2.00
实验一值	0.85	0.30	0.59	0.74	0.05	10.95	0.06	2.20×10^-2	3.28
变化率	1.14	1.22	1.12	0.99	0.75	1.09	1.20	0.88	1.64
实验二值	0.86	0.28	0.49	0.78	0.05	12.07	0.06	2.40×10^-2	3.44
变化率	1.15	1.14	0.93	1.04	0.84	1.21	1.20	0.96	1.72

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Parameter analysis and optimization using genetic algorithm in a marine ecosystem model of the northern South China Sea

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