Refined Risk Zoning of High Temperature and Heat Damage to Greenhouse Tomato in Southern China

Zheng Yanjiao; Yang Zaiqiang; Wang Lin; Yang Shiqiong

doi:10.11898/1001-7313.20210405

Vol.32, NO.4, 2021

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Article Navigation > Journal of Applied Meteorological Science > 2021 > 32(4): 432-442

Zheng Yanjiao, Yang Zaiqiang, Wang Lin, et al. Refined risk zoning of high temperature and heat damage to greenhouse tomato in southern China. J Appl Meteor Sci, 2021, 32(4): 432-442. DOI: 10.11898/1001-7313.20210405.

Citation:

Zheng Yanjiao, Yang Zaiqiang, Wang Lin, et al. Refined risk zoning of high temperature and heat damage to greenhouse tomato in southern China. J Appl Meteor Sci, 2021, 32(4): 432-442. DOI: 10.11898/1001-7313.20210405.

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Refined Risk Zoning of High Temperature and Heat Damage to Greenhouse Tomato in Southern China

DOI: 10.11898/1001-7313.20210405

1.
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044
2.
Binjiang College, Nanjing University of Information Science & Technology, Wuxi 214000

Received Date: 2021-03-25
Rev Recd Date: 2021-06-10
Publish Date: 2021-07-31

Abstract

Abstract

With the intensification of global warming, high temperature and heat damage of spring-summer occurs frequently in recent years, which seriously affects the growth of greenhouse tomato and reduces agricultural economic efficiency. The high temperature and heat damage risk zoning of tomato is especially important, but the research is not sufficient. Based on meteorological data of 359 stations from 1990 to 2019 and greenhouse microclimate measured data, the highest daily temperature in the southern greenhouse is simulated by the BP neural network. Combining high temperature control test data using correlation analysis and principal component analysis methods, the main indicators are screened out, and a high temperature stress index model is constructed. The mean-standard deviation method is used to divide three levels of high temperature stress, and then the temperature with duration corresponding to the critical value of different levels of high temperature stress index are determined respectively, and the risk index system is established. Using geographic information system (GIS) software and other mathematical statistical methods, the characteristics of the year-over-year changes in the frequency of high temperature and thermal damage of tomatoes in the research area are analyzed, and a comprehensive risk index is established to assess the trend of risk development of high temperature and heat damage to greenhouse tomato in the past 30 years. The results show that the frequency of mild and severe high temperature and heat damage is increasing from 1990 to 2019, while the frequency of moderate high temperature and heat damage shows a different pattern (insignificant decrease trend). Among them, the frequency of mild high temperature and heat damage is the highest, followed by moderate high temperature and heat damage. The frequency of heat damage of various grades varies greatly from year to year. There are obvious differences in the distribution of the risk of high temperature and heat damage in space. High-risk areas of heat damage in southern greenhouse tomato are mainly distributed in the western and eastern parts of Guangdong, the eastern and western parts of Guangxi, and the northern, central, and southern parts of Yunnan. The second high-risk areas are mainly distributed in southern Hunan, most areas of Guangxi, central and northern Guangdong, southern Jiangxi, and most areas of Fujian. Areas with moderate heat damage are mainly distributed in north-central Hunan, northwestern Jiangxi, Zhejiang, Anhui, Hubei, and Chongqing. And the risk in western region is low.
- greenhouse tomato;
- high temperature and heat damage;
- BP neural network;
- high temperature stress index

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References(39)

Figures and Tables

Fig. 1 Distribution of target area and meteorological stations

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Fig. 2 Training and measured daily maximum temperature

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Fig. 3 Correlation coefficients of various indicators of greenhouse tomato after high temperature treatments

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Fig. 4 Frequency of different grades of high temperature and heat damage for greenhouse tomato

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Fig. 5 The risk index of high temperature and heat damage for greenhouse tomato

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Table 1 Sources of microclimate data

地点	采集时段	样本量
江苏省宿迁市	2008-03-19—09-23	191
上海市	2009-03-21—09-30，2010-03-01—09-30，2011-03-01—04-02	474
浙江省慈溪市	2007-03-21—05-09，2008-03-01—06-24，07-01—30，2009-04-26—05-25	224
浙江省温州市	2010-03-01—06-10	103
福建省福清市	2017-05-01—09-30，2018-03-01—09-30	368
福建省连城县	2017-06-08—29，2017-07-06—09-30，2018-03-01—09-22，2019-03-01—03-31，2019-04-23—09-03	449

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Table 2 The first 5 eigenvectors of principal component analysis of each index after high temperature treatments

参数	特征向量
参数	第1主成分	第2主成分	第3主成分	第4主成分	第5主成分
P_n	0.066	0.092	0.006	-0.159	-0.033
S_lp	0.065	0.065	-0.037	-0.133	-0.112
C_lp	-0.065	0.038	-0.011	0.029	0.152
P_max	0.066	0.069	0.035	-0.178	0.111
E_aq	0.054	0.090	-0.091	-0.237	0.153
G_s	0.056	0.083	-0.186	-0.173	0.116
C_i	-0.056	0.101	0.101	-0.253	0.118
L_s	0.056	-0.101	-0.101	0.252	-0.119
T_r	0.044	0.135	-0.256	0.074	-0.166
E_wu	0.010	-0.126	0.384	-0.117	0.184
φ	0.050	-0.145	0.018	0.097	-0.010
P_it	0.067	-0.001	0.145	-0.003	-0.115
F_f	0.067	-0.074	0.032	-0.096	0.015
P_ia	0.062	-0.095	0.086	0.139	0.207
A_c	0.023	0.157	0.175	-0.140	-0.447
T_c	0.056	0.084	0.005	-0.027	0.502
D_c	-0.043	0.166	-0.042	0.265	0.105
E_c	0.058	0.083	-0.057	0.085	0.343
C_ha	0.061	-0.112	0.025	-0.145	-0.023
C_hb	0.055	-0.045	-0.054	0.391	0.183
S_od	0.045	0.126	0.203	0.247	-0.161
P_od	-0.030	0.153	0.235	0.073	0.289
C_at	0.042	0.135	0.164	0.358	-0.161
M_da	-0.069	0.002	-0.065	0.112	0.120

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Table 3 I_HS under different treatments

处理日数/d	高温胁迫
处理日数/d	T_38℃	T_41℃	T_44℃
3	0.157	0.17	0.199
6	0.201	0.251	0.317
9	0.285	0.351	0.468
12	0.316	0.431	0.621

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Table 4 Classification of high temperature and heat damage of greenhouse tomato

热害等级	日最高气温(T)/℃	持续时间(D)/d
轻度	36 < T≤38	3 < D≤6
轻度	T>38	2≤D≤3
中度	36 < T≤38	6 < D≤12
	38 < T≤41	3 < D≤9
	T>41	3 < D≤6
重度	36 < T≤38	D>12
	38 < T≤41	D>9
	T>41	D>6

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