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| DOI：10.13522/j.cnki.ggps.2017.0699 |
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| Calculating the Spatiotemporal Changes in Requirement of Winter Wheat for Irrigation in the People’s Victory Canal Irrigation District |
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CHANG Di, HUANG Zhongdong, HAN Yang, LIANG Zhijie, QI Xuebin
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1.Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453002, China; 2.Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3.Key Laboratory of High-efficient and Safe Utilization of Agriculture Water Resources of CAAS, Xinxiang 453002, China
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| Abstract: |
| 【Objective】 The purpose of this paper was to calculate the spatiotemporal changes in the requirement of winter wheat for irrigation in the people's Victory Canal Irrigation District of Henan Province, as well as its consequent impact on cultivation areas of the wheat and sensitivity to precipitation and evapotranspiration. 【Method】 We first used the object-oriented change detection method to extract the cultivation area of the wheat in the irrigation district, and then, based on a soil moisture dynamic stochastic model, calculated the requirement of the wheat for irrigation. In the meantime, the main factors that affected the irrigation water requirement were also analyzed. 【Result】 The requirement of the wheat for irrigation in the district changed with time, with the average annual requirement for irrigation varying from 175 to 238 mm. In contrast, the spatial distribution of the demand for irrigation was stable, with the requirement in central region lower than that in the west and the east regions. The requirement of the wheat for irrigation was most sensitive to potential evapotranspiration, followed by daily precipitation frequency, cultivation areas and average daily precipitation. 【Conclusion】The spatial and temporal variation of irrigation water requirement of winter wheat is relatively large, which is mainly affected by crop water requirement. |
| Key words: People’s Victory Canal Irrigation; winter wheat; irrigation requirement; object-oriented classification; spatiotemporal distribution |
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