Estimation of Crop Evapotranspiration Under Standard Conditions for Winter Wheat in the Huang-Huai-Hai Plain

Wu Xia; Wang Peijuan; Chen Pengshi; Wu Dingrong; Huo Zhiguo

doi:10.11898/1001-7313.20170605

Vol.28, NO.6, 2017

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Article Navigation > Journal of Applied Meteorological Science > 2017 > 28(6): 690-699

Wu Xia, Wang Peijuan, Chen Pengshi, et al. Estimation of crop evapotranspiration under standard conditions for winter wheat in the Huang-Huai-Hai plain. J Appl Meteor Sci, 2017, 28(6): 690-699. DOI: 10.11898/1001-7313.20170605.

Citation:

Wu Xia, Wang Peijuan, Chen Pengshi, et al. Estimation of crop evapotranspiration under standard conditions for winter wheat in the Huang-Huai-Hai plain. J Appl Meteor Sci, 2017, 28(6): 690-699. DOI: 10.11898/1001-7313.20170605.

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Estimation of Crop Evapotranspiration Under Standard Conditions for Winter Wheat in the Huang-Huai-Hai Plain

DOI: 10.11898/1001-7313.20170605

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Liaoning Institute of Meteorological Science, Shenyang 110166

Received Date: 2017-07-14
Rev Recd Date: 2017-09-20
Publish Date: 2017-11-30

Abstract

Abstract

Crop evapotranspiration under standard conditions (E_c) is defined as the evapotranspiration from disease-free, well-fertilized crops grown in large fields, under optimum soil water conditions, and achieving full production under the given climatic conditions. The calculation of E_c considers crop and local surface conditions. E_c is the theoretical upper limit of actual evapotranspiration for actual local surface coverage, ensuring objective analysis on crop water requirements and agricultural drought. To summarize the spatial and temporal distribution characteristics and their causes of E_c, daily E_c is calculated based on Penman-Monteith method using meteorological data and satellite remote sensing data from 2000 to 2015. The meteorological data are provided by 27 meteorological stations in the winter wheat growing area of the Huang-Huai-Hai Plain. The satellite remote sensing data are extracted from NASA MODIS products (LAI (MOD15A2) and Albedo (MCD43C3)) at the corresponding location of 27 meteorological stations. E_k is calculated based on single crop coefficient approach recommended by FAO. Results show that daily dynamic changes of E_c and E_k are consistent in the regional tie scale. However, compared with E_k, E_c has a spatial distribution corresponding to the objective reality. The growth period of winter wheat is divided into five stages:Before wintering stage, wintering stage, returning green-jointing stage, heading stage and milky maturity-maturity stage. With the spatial distribution characteristic of higher in the south and lower in the north, the average daily E_c in the whole winter wheat season, wintering stage and returning green-jointing stage is 1.95 mm, 0.46 mm and 2.74 mm, respectively. The average value of E_c is 1.23 mm before wintering stage, and the whole fluctuation of E_c in the Huang-Huai-Hai Plan is small. There is no significant fluctuation in E_c in heading stage and milky maturity-maturity stage except for the middle part of the Huang-Huai-Hai Plain. The average value of E_c is 4.71 mm and 3.72 mm in these two growth stages, respectively. In terms of spatial distribution, extremely significant positive correlation is shown between LAI and E_c in all growth periods. In wintering stage, returning green-jointing stage and milky maturity-maturity stage, E_c also shows a higher significant negative correlation with albedo. During the whole growth period of winter wheat, E_c has a higher partial correlation coefficient with LAI and water vapor pressure. These results can provide basic data for drought monitoring and wet or dry climate zoning in China, and also provide a new idea for the actual evapotranspiration estimation.
- winter wheat;
- crop evapotranspiration under standard conditions;
- Penman-Monteith formula;
- LAI;
- albedo

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References(36)

Figures and Tables

Fig. 1 The distribution of meteorological and agro-meteorological stations in the Huang-Huai-Hai Plain

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Fig. 2 Every 8-day dynamic changes of leaf area index in the Huang-Huai-Hai Plain(a) and different latitude intervals(b)

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Fig. 3 Daily dynamic changes of albedo in the Huang-Huai-Hai Plain(a) and different latitude intervals(b)

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图 4 最大可能蒸散逐日变化

(a)黄淮海平原E_c和E_k, (b)不同纬度间隔E_c

Fig. 4 Daily dynamic changes of crop evapotranspiration

(a)E_c and E_k in the Huang-Huai-Hai Plain, (b)E_c in different latitude intervals

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Fig. 5 Scatter map of E_c and E_k

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Fig. 6 The spatial distribution of E_c in the growth period of winter wheat

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Fig. 7 The spatial distribution of daily E_c in different growth periods of winter wheat

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Table 1 The day of year (DOY) in different growth periods of winter wheat

范围	气象站数	播种期	越冬期	返青期	抽穗期	乳熟期	成熟期
[31.34°N, 34.00°N]	9	294	次年3	次年49	次年105	次年136	次年148
(34.00°N, 36.00°N]	6	287	359	次年49	次年111	次年142	次年153
(36.00°N, 38.00°N]	7	284	345	次年60	次年118	次年146	次年158
(38.00°N, 40.48°N]	5	277	340	次年67	次年125	次年150	次年161

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Table 2 The partial correlation and its significant test between annual average E_c and remote sensing data, meteorological factors in different growth periods of winter wheat

要素	生育期
要素	越冬前	越冬期	返青-拔节期	抽穗期	乳熟-成熟期	全生育期
叶面积指数	0.841^**	0.981^**	0.931^**	0.872^**	0.947^**	0.905^**
地表反照率	0.172	-0.482^*	-0.506^*	-0.226	-0.410^*	-0.326
最高气温	0.636^**	0.327	0.255	-0.058	0.674^**	0.305
水汽压	0.186	-0.240	0.436^*	-0.407^*	-0.565^**	-0.571^**
最低气温	0.529^*	0.693^**	0.444^*	0.433^*	0.378^*	0.362
日照时数	-0.380^*	0.150	0.126	0.015	0.714^**	0.140
风速	0.205	-0.639^**	-0.356	0.018	-0.452^*	0.071
注：*表示达到0.01的显著性水平，表示达到0.1的显著性水平。

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