Cite this article: | 范火生,申升腾,李德清,等.潜在蒸散量计算方法在沅水流域的适用性研究[J].灌溉排水学报,0,():-. |
| Fan Huo-sheng,SHEN Sheng-teng,LI De-Qing,et al.潜在蒸散量计算方法在沅水流域的适用性研究[J].灌溉排水学报,0,():-. |
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DOI: |
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Study on applicability of potential evapotranspiration calculation method in yuan river basin |
Fan Huo-sheng, SHEN Sheng-teng, LI De-Qing, He Wei, Zhao Yong
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Hunan Wuling Electric Power Technology Co.,LTD.
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Abstract: |
【Objective】To fully explore the applicability and the best calculation accuracy of different methods for calculating evapotranspiration.【Methods】Based on the measured evaporation data and daily routine meteorological data from 1971 to 2020 in the Yuan River basin, this paper studied the potential evapotranspiration calculated by Penman formula and Penman modified formula, and two RBF neural network prediction models based on the calculated net radiation, sunshine, temperature and measured evapotranspiration data. Based on the measured evaporation data, the applicability of Penman formula and Penman modified formula in the Yuan River basin is evaluated from the monthly, quarterly and annual scales as well as the upper, middle and lower reaches of the basin, and the application effects of two RBF neural network prediction models are compared. 【Results】 The results of evapotranspiration calculated by the two methods were significantly different. The reliability of the results calculated by the Penman modified formula was higher than that of the Penman formula in the Yuan River basin. The relative errors in the month, quarter and year decreased by 9%, 12% and 15% respectively. The root mean square error decreased by 15 mm/month, 14 mm/quarter and 182 mm/year. The consistency index increased by 9%/month, 20%/quarter and 16%/year. The prediction accuracy of the modified formula RBF neural network model is higher than that of the Penman formula. The root mean square error decreases by 0.16 (mm/month) to 2.85 (mm/year), and the determination coefficient increases by 1% (month) to 2.5% (year). The prediction effect of RBF neural network model is better than the actual evapotranspiration calculated by the two methods, and the modified formula RBF model is more suitable for the estimation and prediction of potential evapotranspiration in the Yuanshui River basin.【Conclusion】The calculation method and estimation model can provide a new choice for other study areas to estimate evapotranspiration more accurately. |
Key words: actual evapotranspiration; Penman"s formula; Penman modified formula; RBF neural network; Apply effect |
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