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| DOI：10.13522/j.cnki.ggps.20190013 |
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| Multi-factor Analysis of the Effective Precipitation for Crops in Semi-arid Region |
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ZHAO Han, WU Di, LIU Yuchun, XU Rui
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1.Urban and Rural Construction College, Hebei Agricultural University, Baoding 071001, China;2. China Irrigation and Drainage Development Center, Beijing 100054, China;3. Beijing Automic Technology Co., Ltd., Beijing 100193, China
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| Abstract: |
| 【Objective】 The purpose of this paper is to present a method to estimate the effective precipitation for crops in arid region. 【Method】 The model considered precipitation, soil and crop, and it was based on four modules: canopy interception, soil water tolerance, surface runoff, precipitation and deep percolation. The results calculated by the model were compared to those calculated from water balance using the data measured from the field. We applied the model to calculate spatiotemporal distribution of the effective precipitation for crops in five counties in Hebei plain. 【Result】 ①The coefficient of determination (R2) and Nash-Sutcliffe efficiency (NSE) in all results were above 0.85, proving the reliability of the model. ②The effective precipitation for growing season of the wheat-maize in the five counties was 400mm, and the infiltration coefficient of precipitation was 0.84. In wet, normal and dry year, the effective precipitation for crops was 419, 454 and 355 mm respectively, and infiltration coefficient of precipitation was 0.76, 0.86 and 0.83 respectively. The effective precipitation for crops in Luancheng and Yuanshi was higher than that for other counties. 【Conclusion】 The proposed model was reliable for estimating effective precipitation for crops at large scale in semi-arid region. |
| Key words: regional scale; dry crop effective precipitation; influence factors; estimation model; spatiotemporal distribution |
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