根系水分胁迫响应函数对土壤水及作物生长动态和产量模拟影响的研究

doi:10.12118/j.issn.1000-6060.2021.292

Abstract

Abstract:

To investigate the effect of the root moisture stress response function (RMSRF) on soil moisture dynamic and yield simulation, the soil moisture dynamic, and wheat yield were simulated based on the Richards equation and PS123 crop growth model. The three RMSRF of VG (S-curve), MP (convex curve), and LS (S-curve) were compared. The soil characteristic and RMSRF parameters in the model were inverted to determine the optimal parameter values using the measured data from Huoquan Station (three years) and Xiaohe Station (two years) in Shanxi Province, China to obtain the simulation results of soil moisture content, evapotranspiration, and grain yield. The analysis is as follows. (1) The soil moisture and yield simulations under VG, MP, and LS functions are good. The RMSE value is between 0.021 and 0.036; the r test between the simulated and measured values has reached an extremely significant level. For the Huoquan Station, under the three RMSRF of VG, MP, and LS conditions, the average relative errors of the simulated and measured values for soil moisture content are 6.37%, 8.26%, and 7.18%, respectively. The minimum certainty coefficient value is 0.7814. The average relative error values of the simulated wheat yield are 8.73%, 8.40%, and 8.42%, respectively. For the Xiaohe Station, the average relative error of the simulated and measured values for soil moisture content is greater than that of the Huoquan Station, with a maximum of 12.47%. (2) The simulation of soil moisture dynamic shows that RMSRF by the S-shaped curve shows better results than RMSRF by the concave-convex curve. The average relative error using the VG function is smaller, and the simulated evapotranspiration is closer to the actual measurement. (3) In terms of yield simulation results, there is no significant difference among the three RMSRF. In summary, the VG function is a high-precision RMSRF, and the model is simple and convenient. The suggested LS function can improve the simulation accuracy, but the stability of the model needs further research.

Key words: moisture stress, root moisture uptake model, farmland moisture simulation, yield simulation, parameter inversion

WANG Tieying,WANG Yangren,CHAI Junfang,GUO Wenjun. Effect of root water stress response function on soil water, crop growth dynamics and yield simulation[J].Arid Land Geography, 2022, 45(2): 566-577.

Figures/Tables 8

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Fig. 1

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Fig. 2

References 48

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站名	年份	处理	灌水定额 /mm	灌水时间(月-日)				底肥 /kg·hm^-2	追肥 /kg·hm^-2
站名	年份	处理	灌水定额 /mm	1次	2次	3次	4次	底肥 /kg·hm^-2	追肥 /kg·hm^-2
霍泉站	2017	高水	75	11-22	03-22	05-08	05-22	600	450
		中水	75	11-22	03-22	05-22	-	600	300
		零水	-	-	-	-	-	600	-
	2018	高水	75	03-15	04-18	05-12	05-31	900	563
		中水	75	03-15	04-18	05-12	-	600	375
		零水	-	-	-	-	-	-	-
	2019	高水	75	03-26	04-22	05-22	-	1050	510
		中水	75	03-26	05-08	-	-	750	345
		零水	-	-	-	-	-	-	-
潇河站	2004	高水	75	12-11	04-19	05-07	05-29	750	225
		中水	45	04-19	-	-	-	750	225
		零水	-	-	-	-	-	750	-
	2005	高水	75	12-01	04-02	05-11	05-31	1125	338
		中水	45	04-20	-	-	-	750	225
		零水	-	-	-	-	-	750	-

站名	模型	θ_s/cm³·cm^-3	θ_r/cm³·cm^-3	α/cm^-1	n	K_s/cm·d^-1
霍泉站	VG	0.4468	0.0066	0.0076	1.3769	9.3486
	MP	0.4460	0.0033	0.0245	1.6078	5.5227
	LS	0.4833	0.0095	0.0073	1.8180	2.7249
潇河站	VG	0.4900	0.0036	0.0128	1.4325	7.5811
	MP	0.4502	0.0054	0.0279	1.4296	5.9857
	LS	0.4618	0.0040	0.0303	1.5368	5.1511

站名	VG		MP			LS
站名	P	h₅₀/cm	θ_j/cm³·cm^-3	θ_wp/cm³·cm^-3	A	θ_j/cm³·cm^-3	θ_wp/cm³·cm^-3	B	C
霍泉站	1.98	1438.21	0.3586	0.1495	0.5931	0.3709	0.1680	0.5457	2.9801
潇河站	1.71	1059.34	0.2574	0.1781	0.5954	0.3781	0.1513	0.5427	2.6097

站名	模型	RMSE	RE范围/%	平均RE/%	r	样本数
霍泉站	VG	0.0217	0.05~23.82	6.37	0.8557	191
	MP	0.0273	0.01~22.02	8.26	0.8150	191
	LS	0.0223	0.04~27.27	7.18	0.7814	191
潇河站	VG	0.0363	0.13~38.46	12.47	0.8280	122
	MP	0.0279	0.08~30.98	8.59	0.7820	122
	LS	0.0314	0.09~40.62	10.33	0.7196	122

站名	年份	模型	高水		中水		零水
站名	年份	模型	Ta	ETa	Ta	ETa	Ta	ETa
霍泉站	2017	VG	264.4	401.8	224.2	350.3	160.6	263.5
		MP	201.6	312.9	170.2	275.5	111.6	186.7
		LS	244.4	356.7	194.3	297.7	112.2	193.4
		实测	-	502.0	-	400.2	-	261.3
	2018	VG	248.2	383.3	241.7	359.7	150.1	246.7
		MP	186.2	283.3	184.0	266.8	101.0	163.0
		LS	226.1	331.9	221.5	310.6	104.8	176.6
		实测	-	446.4	-	378.7	-	232.7
	2019	VG	245.9	371.7	216.7	323.5	129.9	224.1
		MP	182.6	271.5	157.4	233.5	85.7	150.7
		LS	220.5	315.1	182.0	262.9	82.8	156.0
		实测	-	404.9	-	374.8	-	235.1
潇河站	2004	VG	303.1	451.5	187.5	283.0	130.9	204.0
		MP	270.2	391.8	146.4	224.2	92.0	157.2
		LS	247.8	372.6	128.2	208.9	78.8	149.0
		实测	-	529.6	-	297.3	-	235.6
	2005	VG	337.1	461.1	187.3	234.7	162.1	206.0
		MP	299.3	397.1	141.3	187.8	114.6	157.9
		LS	276.0	380.1	126.1	180.6	96.0	145.9
		实测	-	515.0	-	237.9	-	213.3

Effect of root water stress response function on soil water, crop growth dynamics and yield simulation

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模型	k₁	k₂	λ₁	CVF	k₃	λ₂	r	平均RE/%	样本数
VG	0.6860	0.1143	0.6456	0.5140	0.5185	0.9803	0.9186	8.73	75
MP	0.8190	0.0725	0.9028	0.6625	0.2374	0.1551	0.9223	8.40	75
LS	0.8880	0.0409	0.7874	0.6005	0.1140	0.6999	0.9268	8.42	75