基于Hargreaves-Samani回归修正的作物参考蒸散发计算适用性研究

doi:10.12118/j.issn.1000-6060.2022.133

Abstract

Abstract:

The Hargreaves-Samani (H-S) model for calculating reference crop evapotranspiration (ET₀) was regressed and corrected using daily meteorological data from 128 meteorological stations in the Northwest Yellow River Basin and the middle and lower reaches of the Yangtze River from 1961, 1981, to 2010. The calculation accuracy of the H-S upgraded model H-S_CORR model was evaluated using site data from 2011 to 2020 and the Penman-Monteith model was used as the reference. The ACCESS-CM2 model and the future test scenario SSP2-4.5 are also used to assess the H-S_CORR model’s future adaptability as part of the Sixth International Coupling Model Comparison Program (CMIP6) climate simulation experiment. The results show that the mean absolute error (MAE) of the four subdomains in the middle and lower reaches of the Yangtze River decreases from 2.58-24.28 mm to 1.53-7.99 mm per month after correction, and the root mean square error (RMSE) per month decreases from 3.22-24.56 mm to 1.96-9.27 mm during the validation period. Monthly, both MAE and RMSE decrease by 6.21 mm and 6.38 mm, respectively. The MAE of the four subregions of the Northwest Yellow River Basin decreases from 2.51-34.1 mm per month to 1.11-8.94 mm per month, and the RMSE decreases from 3.02-34.58 mm to 1.43-10.46 mm per month. MAE and RMSE monthly averages decrease by 9.26 mm and 9.23 mm, respectively. Most months in the two study areas have a coefficient of determination (R²) greater than 0.9, whereas a few months have an R² greater than 0.8, and the corrected R² value is at least 1% higher than before the correction. The R² values in the CMIP6 climate model’s future climate scenarios are greater than 0.98, showing strong adaptability. Therefore, the H-S_CORR model’s performance in the Northwest Yellow River Basin, as well as the middle and lower reaches of the Yangtze River, is improved; it can now better simulate the seasonal cycle and long-term trend of ET₀, as well as improve the accuracy of reference crop evapotranspiration calculations.

Key words: reference crop evapotranspiration, Hargreaves-Samani model, Penman-Monteith model, model validation, applicability

FU Yinghao, SHEN Xiaojing, LI Wangcheng, WU Xu, ZHANG Qingqing. Applicability of reference crop evapotranspiration calculation based on Hargreaves-Samani regression correction[J].Arid Land Geography, 2022, 45(6): 1752-1760.

Figures/Tables 8

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分区	统计指标	修正前后	最小值	最大值	平均值	分区	统计指标	修正前后	最小值	最大值	平均值
A区	MAE	原始	4.08	24.22	12.47	E区	MAE	原始	2.94	34	17.24
	MAE	修正后	1.76	7.99	3.42		MAE	修正后	1.45	8.48	4.94
	RMSE	原始	4.31	24.56	13.24		RMSE	原始	3.37	34.58	17.73
	RMSE	修正后	2.23	9.27	4.19		RMSE	修正后	1.5	9.59	5.5
	R²	原始	0.71	0.93	0.82		R²	原始	0.51	0.9	0.78
	R²	修正后	0.9	0.97	0.93		R²	修正后	0.8	0.96	0.88
B区	MAE	原始	3.18	23.25	11.57	F区	MAE	原始	3.43	18.43	10.45
	MAE	修正后	1.53	8.07	3.1		MAE	修正后	2.62	8.94	4.55
	RMSE	原始	3.78	23.45	12.51		RMSE	原始	4.01	19.74	11.5
	RMSE	修正后	1.96	8.91	3.87		RMSE	修正后	3.4	10.46	5.47
	R²	原始	0.71	0.94	0.86		R²	原始	0.6	0.87	0.79
	R²	修正后	0.83	0.96	0.92		R²	修正后	0.81	0.93	0.88
C区	MAE	原始	2.5	20.6	8.15	G区	MAE	原始	2.51	15.6	7.91
	MAE	修正后	1.69	8.48	4.26		MAE	修正后	1.11	3.53	1.94
	RMSE	原始	3.22	21.16	9.15		RMSE	原始	3.02	15.87	8.51
	RMSE	修正后	2.08	0.92	5.11		RMSE	修正后	1.43	3.93	2.37
	R²	原始	0.66	0.92	0.85		R²	原始	0.61	0.92	0.82
	R²	修正后	0.82	0.94	0.92		R²	修正后	0.86	0.98	0.9
D区	MAE	原始	2.74	17.78	7.58	H区	MAE	原始	9.59	26.94	15.54
	MAE	修正后	2.14	8.78	4.16		MAE	修正后	1.38	4	2.66
	RMSE	原始	3.56	22.35	8.9		RMSE	原始	10.48	27.17	15.9
	RMSE	修正后	3	9.34	5.09		RMSE	修正后	1.84	0.79	3.37
	R²	原始	0.65	0.97	0.83		R²	原始	0.61	0.79	0.68
	R²	修正后	0.81	0.98	0.92		R²	修正后	0.81	0.96	0.87

Applicability of reference crop evapotranspiration calculation based on Hargreaves-Samani regression correction

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