丁加丽, 彭世彰, 徐俊增, 魏 征. 基于Penman-Monteith方程的节水灌溉稻田蒸散量模型[J]. 农业工程学报, 2010, 26(4): 31-35.
    引用本文: 丁加丽, 彭世彰, 徐俊增, 魏 征. 基于Penman-Monteith方程的节水灌溉稻田蒸散量模型[J]. 农业工程学报, 2010, 26(4): 31-35.
    Estimation of rice evapotranspiration under controlled irrigation by using Penman-Monteith method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 31-35.
    Citation: Estimation of rice evapotranspiration under controlled irrigation by using Penman-Monteith method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 31-35.

    基于Penman-Monteith方程的节水灌溉稻田蒸散量模型

    Estimation of rice evapotranspiration under controlled irrigation by using Penman-Monteith method

    • 摘要: 为利用Penman-Monteith方程直接计算非充分灌溉条件下的稻田蒸散量,该文根据国家“863”节水农业重大专项试验资料,在K-P表层阻抗模型修正研究基础上,提出改进的稻田蒸散量模拟模型。结果表明:根据土壤相对含水率修正后的K-P模型较好地模拟了水稻表层阻抗,且反映出不同土壤水分状况下表层阻抗的变化规律;采用改进的Penman-Monteith方程模拟水分胁迫条件下的稻田蒸散量后,误差从改进前的18.57%降低至10.84%,且对冠层未完全覆盖条件下的稻田蒸散量也具有较好的模拟效果;土壤含水率、空气温度和空气湿度是改进的Penman-Monteith方程最为敏感的因子,它们的准确观测对于提高模型的估算精度至关重要;模型回归系数(c1、c0)的变化对模型估算结果的影响较小。表明当某一特定作物的回归系数值确定后,改进的Penman-Monteith方程可应用于不同地区、不同灌溉模式下作物蒸发蒸腾量的估算。

       

      Abstract: Based on the experimental data from the “863” National Key Project on water-saving agriculture, evapotranspiration of paddy rice under controlled irrigation condition was estimated by using a mended Penman-Monteith method presented in this paper with a variable canopy resistance. Results showed that canopy resistance could be estimated better by adopting Penman-Monteith model which modified by soil moisture content. Variation of canopy resistance under different water conditions was revealed at the same time. Relative error between measured crop evapotranspiration and evaluated one was reduced from 18.57% to 10.84% by using the mended Penman-Monteith model and the performance even was improved at growth stages when ground was not covered completely. The sensitivity of Penman-Monteith estimates of evapotranspiration with different input data and parameters was very dependent on the values of the soil moisture, air temperature and humidity. Regress parameters (c1, c0) showed less effect on crop evapotranspiration, which indicated the mended Penman-Monteith model would be available to estimate crop evapotranspiration under different irrigation conditions and at different areas when regress parameters were decided for one crop.

       

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