| 引用本文: | 张小英,吕廷波,刘一凡,等.干旱绿洲区参考作物腾发量模型适用性分析[J].灌溉排水学报,2025,44(9):10-18. |
| ZHANG Xiaoying,LYU Tingbo,LIU Yifan,et al.干旱绿洲区参考作物腾发量模型适用性分析[J].灌溉排水学报,2025,44(9):10-18. |
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| 摘要: |
| 【目的】探索适宜干旱绿洲区的参考作物腾发量（ET0）简化计算模型。【方法】利用石河子气象站1955—2020年逐日气象资料，以FAO-56 Penman-Monteith（PM）模型为标准，基于决定系数（R2）、纳什效率系数（NSE）、均方根误差（RMSE）、相对均方根误差（nRMSE）、平均绝对误差（MAE）和整体评价指标（GPI）共6种评价指标，分别从日、月、年尺度评价8种ET0计算模型在干旱绿洲区的适用性。【结果】从日尺度分析来看，辐射法中的Priestley-Taylor（PT）模型与PM法的计算值最为接近，其次是温度法中的Berti-Hargreaves（BH）模型；从月尺度分析来看，辐射法中的PT模型在各月份计算误差均较小，表现出良好的适用性，其次是温度法中的BH模型，基于质量转换的Roher（Roh）模型计算精度最差；从年尺度分析来看，辐射法中的PT模型MAE仅为35.78 mm/a，nRMSE为4.93%，计算精度最高，基于质量转换的Roh模型MAE为340.18 mm/a，nRMSE为37.82%，计算精度最差。【结论】辐射法中的PT模型在日、月、年尺度的计算精度均优于其他方法，在干旱绿洲区的适用性最好，在气象数据缺失的情况下，推荐使用PT模型估算干旱绿洲区ET0。 |
| 关键词: 参考作物腾发量；干旱绿洲区；适用性分析；石河子 |
| DOI：10.13522/j.cnki.ggps.2024372 |
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| Suitable reference crop evapotranspiration models for arid oasis regions |
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ZHANG Xiaoying, LYU Tingbo, LIU Yifan, SHI Pengcheng, WANG Maoyuan
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1. College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832003, China;
2. Key Laboratory of Modern Water-saving Irrigation of Xinjiang Production & Construction Group, Shihezi 832003, China
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| Abstract: |
| 【Objective】Reference crop evapotranspiration (ET0) is a critical parameter for agricultural water management and irrigation scheduling, especially in arid oasis regions where water resources are scarce. While the FAO-56 Penman-Monteith (PM) model is a standard formula for estimating ET0, some of meteorological data required by the model are often unavailable in these areas. This paper proposes a simplified yet accurate model for estimating ET0 in such regions. 【Method】Daily meteorological data from 1955 to 2020 at the Shihezi Meteorological Station were used, with the FAO-56 PM model serving as the reference standard. We compared eight simplified models for calculating daily, monthly and annual ET0. The accuracy of each model was analyzed using statistical metrics, including coefficient of determination (R2), Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), normalized RMSE (nRMSE), mean absolute error (MAE), and a comprehensive general performance index (GPI).【Result】At daily scale, the radiation-based Priestley-Taylor (PT) model showed the closest agreement with the PM model, followed by the temperature-based Berti-Hargreaves (BH) model. At monthly scale, the PT model was most accurate, followed by the BH model. At annual scale, the PT model worked best, with an MAE of 35.78 mm/a and an nRMSE of 4.93%, whereas the mass transfer-based Roh model was least accurate, with an MAE of 340.18 mm/a and an nRMSE of 37.82%.【Conclusion】Among the eight models we compared, the Priestley-Taylor model is the most accurate simplified method for estimating ET0 in arid oasis regions where meteorological data for the FAO-56 PM model are incomplete or limited. |
| Key words: reference crop evapotranspiration; arid oasis region; applicability evaluation; Shihezi |
