辐射模型不同率定方法总辐射数据缺失插补比较

发布时间：2018-02-16 01:23

  本文关键词： 姒ngstr錸m-Presscott模型 参数率定 总辐射量 参考作物蒸发蒸腾量 插补　出处：《农业机械学报》2016年10期 　论文类型：期刊论文

【摘要】：在长期连续观测中,总辐射(Rs)的观测数据通常有不同程度的缺失。基于日照时数的姒ngstr錸m-Presscott(AP)模型是一种广泛应用且精度较高的总辐射估算经验模型。选取A-P模型3种不同参数率定方法 (M1:每年率定,M2:分月率定,M3:多年率定),基于6个辐射站的辐射资料,对年平均Rs、年平均ET0、参数取值和插补精度进行了比较。t检验结果表明,3种方法下A-P模型在昌都站数据插补无明显差异,Rs年际变化大是造成该站Rs模拟不准的主要原因。在宜昌和南宁站,M1方法进行数据插补精度高于其他方法,M1方法 Rs缺失天数分别为40 d和70 d时,两站计算的参考作物蒸发蒸腾量(ET0)与实测Rs计算的ET0相比,t检验无明显差异。M2与M3相比精度稍高,但在昆明、赣州、杭州和南宁站冬季精度更高且6—8月份精度更低。与1990年以前相比,各站点A-P模型参数a在1990年以后有明显上升,工业污染导致气溶胶增加是原因之一。A-P模型在极端年份率定精度不高,在极端炎热气候年份,应用该模型用于灌溉预报时会低估作物耗水量,可能会给决策带来风险。该研究结果可用于A-P模型的风险评估和提高总辐射时间序列数据缺失情况下的插补精度。
[Abstract]:In the long-term continuous observation, the total radiation (Rs) data usually have different degree of loss. The Si ngstr re m-Presscott sunshine hours (AP) model is based on the empirical model to estimate the total radiation of a high precision and wide application. Select the A-P model with 3 different parameter calibration method (M1: annual rate M2:, the monthly rate, M3: rate of 6 years), the radiation radiation station based on the data of annual average Rs, average ET0, parameter values and interpolation accuracy were compared with the results of.T test showed that the A-P model of 3 methods in Changdu station data interpolation have no obvious difference, is Rs the interannual variation of the main reason to cause the Rs simulation are not allowed. In Yichang and Nanning Railway Station, M1 method of data interpolation accuracy is higher than other methods, M1 method and Rs deletion days were 40 d and 70 D, reference crop evapotranspiration calculation of two stations (ET0) compared with the calculated and measured Rs ET0, t. Test of.M2 showed no significant difference compared with M3 precision is slightly higher, but in Kunming, Ganzhou, Hangzhou and Nanning Railway Station in winter, higher precision and lower accuracy. From 6 to August and 1990 compared to the previous site of the parameters of A-P model a in 1990 after a significant increase in industrial pollution has caused the increase in aerosols is one of the reasons why.A-P model calibration accuracy in extreme years, in extreme hot climate years, the application of the model for the forecast of irrigation will underestimate the crop water consumption, may pose a risk to the decision. The results can be used in the risk assessment model of A-P interpolation accuracy and improve the total radiation time series in case of missing data.

【作者单位】： 南昌工程学院鄱阳湖流域水工程安全与资源高效利用国家地方联合工程实验室;西北农林科技大学旱区农业水土工程教育部重点实验室;
【基金】：国家高技术研究发展计划(863计划)项目(2011AA100504) 教育部高等学校创新引智计划(111计划)项目(B12007)
【分类号】：S161.1
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本文编号：1514336