| 引用本文: | 赵 晗,吴 迪,刘玉春,等.基于多因素影响的区域旱作物有效降水量估算[J].灌溉排水学报,2019,38(7):101-109. |
| ,et al.基于多因素影响的区域旱作物有效降水量估算[J].灌溉排水学报,2019,38(7):101-109. |
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| 摘要: |
| 【目的】确定区域尺度旱作物有效降水量估算方法。【方法】通过分析降水、土壤和作物因素对作物有效降水量的综合影响，提出了包括冠层截留量、土壤可容水量、地表径流量、降水量和深层渗漏量等4个计算模块的作物有效降水量估算模型，采用田间尺度水量平衡方程计算值对估算模型模拟值进行验证，并分析了河北平原5个县域作物有效降水量的时空分布特性。【结果】①作物有效降水量估算模型模拟结果与农田尺度水量平衡法计算值的决定系数R2和纳什系数NSE均大于0.85，模拟精度较高；②研究区域冬小麦-夏玉米连作条件下作物有效降水量为400.00 mm，降水入渗系数为0.84；丰水年、平水年、枯水年作物有效降水量分别为419.00、454.00和355.00 mm，降水入渗系数分别为0.76、0.86和0.83，栾城和元氏的作物有效降水量较赵县偏高。【结论】提出的估算模型可以用来估算区域尺度作物有效降水量。 |
| 关键词: 区域尺度； 旱作物有效降水量； 影响因素； 估算模型； 时空分布 |
| 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 |
