半干旱区FAO56 Penman-Monteith参考蒸散发模式Valiantzas简化形式的研究

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES MAUSAM Pub Date : 2023-07-01 DOI:10.54302/mausam.v74i3.931
R. J, R. Lalitha, SVallal Kannan, K. Sivasubramanian
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引用次数: 0

摘要

利用来自印度泰米尔纳德邦半干旱地区蒂鲁奇拉帕利区Lalgudi Taluk Kumulur农业工程学院和研究所的气象数据,研究了16个Valiantzas参考蒸散模型的性能。Valiantzas的参考蒸散量与全球使用的FAO56 Penman-Monteith方法进行了比较。用于比较的指标是决定系数(R2)、标准误差估计(SEE)和长期平均比率(RT)。需要完整数据集的Valiantzas模型在该站表现出色。不需要风速数据的模型在该站也表现得同样好,并与FAO56-PM方法表现出相当好的相关性。考虑当地平均风况的其他公式、仅包含温度和相对湿度数据的简化集公式以及仅包含温度数据和辐射数据的简化集合公式在该站也表现良好。调查显示,Valiantzas的模型相当准确,因此研究人员可以在缺乏完整数据集的情况下使用这些模型。
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Investigation of Valiantzas’ Simplified forms of FAO56 Penman-Monteith Reference Evapotranspiration Models in a semi-arid region
The performance of sixteen Valiantzas’ reference evapotranspiration models was investigated using the meteorological data obtained from Agricultural Engineering College and Research Institute, Kumulur, Lalgudi Taluk of Tiruchirapalli district, which is a semi-arid region located in Tamil Nadu, India. The Valiantzas’ reference evapotranspiration was compared with the globally used FAO56 Penman-Monteith method. The indexes used for comparison are coefficient of determination (R2), Standard Error Estimate (SEE) and long-term average ratio (RT). The Valiantzas’ models requiring complete dataset performed excellently in this station. The models not requiring wind speed data also performed equally well in this station and exhibited a fairly good correlation with FAO56-PM method. The other formulae accounting for local average wind conditions, reduced set formulae with temperature and relative humidity data alone and reduced set formulae with temperature and radiation data alone also performed well in this station. The investigation showed  fair accuracy of Valiantzas’ Models and hence researchers can use these models in the absence of availability of the complete dataset.
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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