基于辐射和温度的ET<sub>0</sub>模型在吐鲁番地区的比较与修正

范留飞; 皮原月; 于洋; 于瑞德

范留飞,皮原月,于洋,于瑞德.基于辐射和温度的ET₀模型在吐鲁番地区的比较与修正[J].干旱地区农业研究,2020,38(2):267~275

基于辐射和温度的ET₀模型在吐鲁番地区的比较与修正

Comparison and modification of ET₀ models based on radiation and temperature in Turpan region

DOI：10.7606/j.issn.1000-7601.2020.02.37

中文关键词: ET₀估算模型精度评价修正温度辐射吐鲁番地区

英文关键词:ET₀ estimation model accuracy evaluation modification temperature radiation Turpan region

基金项目:中国科学院“西部青年学者”B类(2018-XBQNXZ-B-017)；中国科学院百人计划C类（Y931201）

作者	单位
范留飞	中国科学院新疆生态与地理研究所，荒漠与绿洲生态国家重点实验室，新疆乌鲁木齐 830011；中国科学院大学资源与环境学院，北京 100049
皮原月	中国科学院新疆生态与地理研究所，荒漠与绿洲生态国家重点实验室，新疆乌鲁木齐 830011；中国科学院大学资源与环境学院，北京 100049
于洋	中国科学院新疆生态与地理研究所，荒漠与绿洲生态国家重点实验室，新疆乌鲁木齐 830011；中国科学院大学资源与环境学院，北京 100049
于瑞德	中国科学院新疆生态与地理研究所，荒漠与绿洲生态国家重点实验室，新疆乌鲁木齐 830011；中国科学院大学资源与环境学院，北京 100049

摘要点击次数: 1085

全文下载次数: 765

中文摘要:

利用吐鲁番地区3个气象站2000—2015年逐日气象资料，以FAO-56 Penman-Monteith(FAO-56 PM)模型为标准，对6种ET₀模型（M-A模型、P-T模型、M-H模型、H-S模型、Traj模型和B-H模型）进行评价并修正，采用均方根误差（RMSE）、绝对平均误差（MAE）、平均相对误差（MRE）评价指标和Wilcoxon非参数检验法比较年、月尺度上各模型修正前后的估算精度，以筛选适用吐鲁番地区ET₀简化估算模型。结果表明：吐鲁番地区ET₀的主要影响因子是R_s（太阳辐射），其次是e_s（饱和水汽压）和R_n（作物表面净辐射）；修正前，年尺度上，M-H模型的估算精度最高；月尺度上，各模型误差较大且与FAO-56 PM模型存在显著差异，适用性较差；修正后，各模型在年、月尺度上的精度均有明显提高，无显著差异，其中修正后的P-T、M-H和B-H模型估算精度最高，可作为吐鲁番地区ET₀简化估算模型。

英文摘要:

By using the daily climatic data of three meteorological stations from 2000 to 2015 in Turpan region, and taking FAO-56 Penman-Monteith (FAO-56 PM) model as the standard model, six ET₀ models (M-A model, P-T model, M-H model, H-S model, Traj model, and B-H model) were evaluated and modified. The estimation accuracy were analyzed with root mean square error(RMSE), mean absolute error (MAE), mean relative error (MRE), and non\|parametric Wilcoxon test at yearly and monthly scales, respectively.The purpose was to find a simple and accurate ET₀ model in Turpan region.The results indicated that the main meteorological factor affecting ET₀ was R_s (solar ridiation) in Turpan region,followed by e_s (saturated water pressure) and R_n (crop surface net radiation). Before the modification, the M-H model had the highest estimation accuracy on the yearly scale.On the monthly scale, the errors of all models were large and there were significant differences with the calculation results of the FAO-56 PM model, and the applicability was poor in Turpan region. After the modification, the accuracy of each model on the yearly and monthly scales was significantly improved, and there was no significant difference with the FAO-56 PM model. The modified P-T, M-H, and B-H models had the highest estimation accuracy and can be used as simple and accurate ET₀ models in Turpan region.

查看全文查看/发表评论下载PDF阅读器