| 引用本文: | 夏兴生,朱秀芳,潘耀忠,等.中国大陆地区Angstrom公式参数校正与优选:年内尺度[J].灌溉排水学报,0,():-. |
| Xia Xingsheng,zhu xiufang,Pan Yaozhong,et al.中国大陆地区Angstrom公式参数校正与优选:年内尺度[J].灌溉排水学报,0,():-. |
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| 摘要: |
| 联合国粮农组织（FAO）推荐Angstrom公式作为参考作物需水量计算过程中太阳总辐射（Rs）参数的建议算法，因此，该公式的as、bs参数取值对准确计算Rs至关重要。【目的】为了探讨Angstrom公式中两个经验系数as和bs在中国陆地范围内的空间分布特征，并给出各农业区的校正值，【方法】本研究基于中国辐射月值数据集和中国地面气候资料月值数据集中共有的121个站点1957-2016年的逐月日平均太阳辐射和日照百分比有效观测记录，基于各站点1957-2010年的多年平均数据，利用最小二乘回归计算并统计得到中国38个农业区的年内统一as、bs系数，并以2011-2016年的Rs观测值为真值，比较了分别以as、bs系数回归值和FAO 的建议值计算的Rs相对精度，筛选出了各农业区年内as、bs系数的优化取值。【结果】大部分站点的n/N与Rs/Ra的相关系数在0.8以上；以线性回归分析求得的Angstrom公式系数as在绝大部分区域维持在0.1~0.2之间，且空间分布稳定，而系数bs则波动性变幅较大，大部分区域在0.4~0.8之间；以回归系数计算的Rs整体上要优于FAO推荐值计算的Rs，但在具体应用中则存在FAO推荐值计算的Rs优于回归系数计算的Rs的情况。【结论】在中国，基于n/N与Rs/Ra的相关关系，可以直接回归分析求取Angstrom公式的as、bs系数；各农业区回归求取的as、bs系数与FAO 56的建议值存在显著差别，且有各自的表现特征，但二者的相对大小也呈此消彼长的规律；现有数据和方法条件下，as、bs系数的回归值和建议值相结合推广使用是最佳方案。本研究丰富了Angstrom公式参数校正研究的案例，且结果能够提高中国区域Rs计算的准确性，对全国不同农业区更精细化的辐射参数研究具有一定的参考价值。 |
| 关键词: 太阳总辐射；Angstrom公式；参数校正；参考作物需水量；中国 |
| DOI： |
| 分类号:P426.21 |
| 基金项目:国家高分辨率对地观测系统（民用部分）重大专项；“十三五”国家重点研发专项（2018YFC1504603）；中国人民财产保险股份有限公司灾害研究基金（2017D24-03） |
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| Parameter Calibration and Optimization of Angstrom Equation in China Mai-land for a year scale |
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Xia Xingsheng, zhu xiufang, Pan Yaozhong, Zhang Jinshui
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Beijing Normal University
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| Abstract: |
| The Food and Agriculture Organization (FAO) of the United Nations recommended Angstrom Equation as the pro-posed algorithm for the total solar radiation (Rs) parameters in the calculation process of reference crop evapotran-spiration. Therefore, the value of as and bs coefficients of this equation is crucial for the accurate calculation of Rs.【Objective】In order to discuss the spatial characteristics of the two empirical coefficients in Angstrom Equation within the land area of China, and to give the correction values of each agricultural area, 【Method】this study, using the least-squares regression, acquired as and bs coefficients of 38 agricultural areas in China within a year based on daily mean effective observation records of solar radiation (Rs) and sunshine percentage from 121 stations monthly data in Dataset of Monthly Values of Radiation Data and Climate Data from Chinese Surface Stations in 1957 to 2010, and with the Rs observation data in 2011 to 2016 as the true value, compared the relative precision of Rs calculated by as, bs coefficient from regression value and FAO recommended value respectively. Lastly, the optimal values of as and bs coefficients for agricultural areas were selected month by month.【Result】The correlation coefficients between n/N and Rs/Ra of the most stations is above 0.8; The Angstrom formula coefficient as obtained by linear regression analysis maintains in the range of 0.1-0.2 in most regions, and its value is stable in space, while the coefficient bs fluctuates and changes greatly in the range of 0.4~0.8 in most regions; The Rs calculated by the regression coefficient is better than the FAO recommended value on the whole, but in the specific application, some Rs calculated by the FAO recom-mended value are better than that by the regression coefficient.【Conclusion】In China, based on the correlation between n/N and Rs/Ra, the as and bs coefficients of Angstrom formula can be obtained by regression analysis directly; The coefficients as and bs obtained by regression in each agricultural area were significantly different from the sug-gested values of FAO 56; And the relative size of the two shows the rule of one is smaller, and the other is larger; Under the condition of existing data and methods, combined using the regression value and recommended value of as and bs coefficients is the best scheme. This study enriches the case study of parameter calibration of Angstrom Equation, and the results can improve the accuracy of Rs calculation in China, which has certain reference value for more refined radiation parameter research in different agricultural areas of China. |
| Key words: Solar Radiation；Angstrom Equation；Calibration；Reference Crop Evapotranspiration；China |
