| 基于公共天气预报的三江平原ET0预报模型比较及敏感性分析 |
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| 引用本文： | 钱坤,陈梦婷,沈莹莹,胡旭铧,金丽,刘少辉,崔远来,罗玉峰.基于公共天气预报的三江平原ET0预报模型比较及敏感性分析[J].节水灌溉,2021(4):62-67. |
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| 作者姓名： | 钱坤 陈梦婷 沈莹莹 胡旭铧 金丽 刘少辉 崔远来 罗玉峰 |
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| 作者单位： | 武汉大学水资源与水电工程科学国家重点实验室,武汉430072;中国灌溉排水发展中心,北京100054;黑龙江省富锦市锦西灌区建设管理站,黑龙江富锦156100 |
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| 基金项目： | 湖北省对外科技合作类项目;国家重点研发计划项目;广西重点研发计划项目 |
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| 摘 要： | 为了提出适合我国三江平原的高精度ET0预报方法,基于该区6个气象站点的天气预报数据和实测气象数据,以FAO56-Penman-Monteith(FAO56-PM)公式计算值为基准,比较Hargreaves-Samani(HS)、Thornthwaite(TH)和Blaney-Criddle(BC)3个ET0预报模型的效果,对最优模型进行敏感性分析。结果表明:3个模型1~7 d预见期平均绝对误差均值分别为0.66、0.65、0.65 mm/d,均方根误差分别为0.93、0.96、0.95 mm/d,相关系数分别为0.857、0.828、0.840。1~5 d预见期最优预报模型为HS模型,6~7 d为TH模型。总体上预报精度由高到低为HS、TH、BC模型,建议采用HS模型在三江平原开展ET0预报,HS模型预报对最高温预报的敏感性大于最低温。其预报值在夏季受温度预报误差影响最大,冬季最小,4季整体误差较小。研究可为灌溉预报提供较准确的数据基础。
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| 关 键 词： | 参考作物腾发量 天气预报 敏感性分析 精度评价 Hargreaves-Samani ET0预报模型 三江平原 灌水预报 需水量预报 |
Comparison and Sensitivity Analysis of Reference Crop Evapotranspiration Prediction Models in the Sanjiang Plain Based on Public Weather Forecasting |
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| QIAN Kun,CHEN Meng-ting,SHEN Ying-ying,HU Xu-hua,JIN Li,LIU Shao-hui,CUI Yuan-lai,LUO Yu-feng.Comparison and Sensitivity Analysis of Reference Crop Evapotranspiration Prediction Models in the Sanjiang Plain Based on Public Weather Forecasting[J].Water Saving Irrigation,2021(4):62-67. |
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| Authors: | QIAN Kun CHEN Meng-ting SHEN Ying-ying HU Xu-hua JIN Li LIU Shao-hui CUI Yuan-lai LUO Yu-feng |
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| Institution: | (State Key Laboratory of Water Resources and Hydropower Science,Wuhan University,Wuhan 430072,China;China Irrigation and Drainage Development Center,Beijing 100054,China;Jinxi Irrigation District Construction Administration Station of Fujin City,Fujin 156100,Heilongjiang Province,China) |
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| Abstract: | In order to propose a high-precision ET0 forecasting method suitable for the Sanjiang Plain,this study collected the daily weather forecast data and the daily measured meteorological data,using the FAO56-Penman-Monteith(FAO56-PM)calculations as a benchmark to compare the three ET0 forecasting models Hargreaves-Samani(HS),Thornthwaite(TH),and Blaney-Criddle(BC),then sensitivity analysis are performed on the optimal model.The results show that:the mean absolute error of the above three models in the 1~7 d forecasting period are 0.66,0.65,0.65 mm/d,the root mean square error are 0.93,0.96,0.95 mm/d,the correlation coefficient are 0.857,0.828,0.840.For each foresight period,the best forecasting model is the HS model for the 1~5 d foresight period and the TH model for the 6~7 d foresight period.The overall forecasting accuracy from high to low is HS,TH and BC model.It is recommended to use HS model to carry out ET0 forecasting in the Sanjiang Plain,by which the error in the ET0 forecast is more sensitive to maximum temperature than minimum temperature.And the sensitivity of ET0 forecast value is the most affected by temperature forecast in summer and the least in winter.The overall error fluctuation of all four seasons is within the acceptable range.In a word,the HS model can provide a more accurate data base for irrigation forecasting,which is important for the development of water-saving irrigation. |
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| Keywords: | reference crop evapotranspiration weather forecasting sensitivity analysis accuracy assessment Hargreaves-Samani ET0 prediction models Sanjiang Plain irrigation prediction water demand prediction |
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