R-K蒸散模型用于华北平原冬小麦农田的参数校正与评价
为了解华北平原冬小麦田蒸散特征,并对蒸散估算模型在冬小麦田的适用性和稳定性进行分析,该文利用涡度相关系统对2013-2015年冬小麦田的蒸散量进行观测,以气象数据为基础对估算模型Rana和Katerji模型(简称R-K模型)进行修正;利用修正后模型对日蒸散量进行预测;并与FAO-PM模型的预测值及涡度相关系统的测量值进行对比,来说明R-K模型在冬小麦田的适用性。结果表明冬小麦田蒸散量有明显的季节变化,日蒸散量在1月底最小,返青期开始逐渐增大,于4、5月份达到最大值;2个冬小麦生长季总蒸散量分别为436.3和334.8 mm。统计参数的对比说明修正后R-K模型对冬小麦田日蒸散量的预测效果优于FA...
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Published in | 农业工程学报 Vol. 32; no. 9; pp. 99 - 105 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
西北农林科技大学理学院,杨凌 712100
2016
青岛农业大学理学与信息科学学院,青岛 266109%青岛农业大学农学与植物保护学院,青岛,266109%青岛农业大学现代农业科技示范园管理处,青岛,266109%青岛农业大学理学与信息科学学院,青岛,266109%西北农林科技大学理学院,杨凌,712100 |
Subjects | |
Online Access | Get full text |
ISSN | 1002-6819 |
DOI | 10.11975/j.issn.1002-6819.2016.09.014 |
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Summary: | 为了解华北平原冬小麦田蒸散特征,并对蒸散估算模型在冬小麦田的适用性和稳定性进行分析,该文利用涡度相关系统对2013-2015年冬小麦田的蒸散量进行观测,以气象数据为基础对估算模型Rana和Katerji模型(简称R-K模型)进行修正;利用修正后模型对日蒸散量进行预测;并与FAO-PM模型的预测值及涡度相关系统的测量值进行对比,来说明R-K模型在冬小麦田的适用性。结果表明冬小麦田蒸散量有明显的季节变化,日蒸散量在1月底最小,返青期开始逐渐增大,于4、5月份达到最大值;2个冬小麦生长季总蒸散量分别为436.3和334.8 mm。统计参数的对比说明修正后R-K模型对冬小麦田日蒸散量的预测效果优于FAO-PM模型。敏感性分析说明R-K模型对气象因素不敏感,稳定性良好。R-K模型对冬小麦不同生长阶段的蒸散量预测效果在后期表现最佳,其次为发育期、中期和初期,越冬期表现最差。该研究可为利用模型估算蒸散量及指导农田精确灌溉提供参考。 |
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Bibliography: | Wang Juan,Wang Jianlin,Liu Jiabin,Jiang Yongchao,Wang Guodong (1. College of Science, Northwest A &F University, Yangling 712100, China; 2. College of Sciences and Information Science, Qingdao Agricultural University, Qingdao 266109, China; 3. College of Agronomy and Plant Protection, Qingdao Agricultural University, Qingdao 266109, China; 4. Department of Modern Agricultural Demonstration Farm, Qingdao Agricultural University, Qingdao 266109, China) 11-2047/S evapotranspiration; crops; models; eddy covariance method; meteorological parameters Understanding of evapotranspiration(ET) of crops is very important for the research on the balance of water, such as hydrology, agronomy and environmental science. The Penman-Monteith equation(PM equation) has been widely used for predicting the actual ET, but the direct application of the PM equation is very difficult because of the determination of canopy resistance. Two operational models are developed to determine the actual ET based on the PM equation: FAO-PM model(FA |
ISSN: | 1002-6819 |
DOI: | 10.11975/j.issn.1002-6819.2016.09.014 |