| 高晓瑜,张莎,屈忠义,汤鹏程,霍再林.内蒙古不同气候区域参考作物腾发量估算模型适用性分析[J].干旱地区农业研究,2022,40(2):222~231 |
| 内蒙古不同气候区域参考作物腾发量估算模型适用性分析 |
| Applicability of reference evapotranspiration estimation model in different climatic regions of Inner Mongolia |
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| DOI：10.7606/j.issn.1000-7601.2022.02.27 |
| 中文关键词: 参考作物腾发量（ET0） 估算模型 GPI 气候区域 内蒙古自治区 |
| 英文关键词:reference crop evapotranspiration (ET0) estimation model global performance indicator (GPI) climatic region Inner Mongolia Autonomous Region |
| 基金项目:国家自然科学基金青年项目（51809142）；内蒙古自治区引进人才科研启动项目（DC1900008439）；内蒙古自治区自然科学基金面上项目（2020MS05011） |
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| 中文摘要: |
| 本研究基于内蒙古自治区50个站点1951—2013年的气象资料，对文献中已有的33个参考作物腾发量（ET0）模型进行详细的统计分析，采用10个统计指标对ET0估算模型的性能进行评价，并引入全球绩效指标(GPI)来对模型进行排名。结果表明，在特干旱和干旱地区，基于质量转换(Mass transfer\|based, MTB)、基于温度(Temperature\|based, TB)和简化彭曼(Simplified FAO-56 PM, SPM)模型的GPI接近于1，体现了较好的模拟效果，而基于辐射(Radiation\|based,RB)的模型模拟效果最差。在干旱-半湿润和湿润-半湿润地区，SPM和RB模型GPI值较高，模拟效果较好，比如湿润-半湿润地区M1（RB）模型GPI达到1.0。考虑到模型的便捷性，基于温度（Temperature\|based,TB)的模型在相对干旱地区最为适用，而基于辐射的模型在相对湿润地区更为准确。 |
| 英文摘要: |
| Based on the meteorological data from 1951 to 2013 corresponding to 50 sites throughout the Inner Mongolia Autonomous Region, this study made a detailed statistical analysis of the 33 ET0 models available in the literature. Ten statistical indicators were used to assess the performance of the models. And a global performance indicator (GPI) was introduced to rank the models. The results showed that in hyper\|arid and arid areas, the GPI was shown in mass transfer\|based (MTB), temperature\|based (TB), and simplified FAO-56 PM (SPM) models being close to 1, which reflects the good simulation effect, while radiation\|based (RB) model were amongst the worst performers. In the dry sub\|humid and moist sub\|humid areas, a better GPI was shown in SPM and RB models were higher and the simulation effect were better. For example, the GPI of M1 (RB) being 1.0 in the moist sub\|humid area. Considering the convenience of models, Temperature\|based (TB) models are the most suitable models in the relatively arid areas, while RB models are more accurate in relatively humid areas. |
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