Abstract
The Food and Agriculture Organization (FAO) Penman–Monteith equation, recognized as the standard method for the estimation of reference crop evapotranspiration (ET0), requires many meteorological inputs. The Ångström–Prescott (A-P) formula containing parameters (i.e., a and b) is recommended to determine global solar radiation, one of the essential meteorological inputs, but may result in a considerable difference in ET0 estimation. This study explored the effects of A-P coefficients not only on the estimation of ET0, but also on the irrigation water requirement (IWR) and design water requirement (DWR) for paddy rice cultivation, which is the largest consumer of agricultural water in South Korea. We compared and analyzed the estimates of ET0, IWR, and DWR using the recommended (a = 0.25 and b = 0.5) and locally calibrated A-P coefficients in 16 locations of South Korea. The estimation of ET0 using the recommended A-P coefficients produced significant overestimation. The overestimation ranged from 3.8% to 14.0% across the 16 locations as compared to the estimates using the locally calibrated A-P coefficients, and the average overestimation was 10.0%. The overestimation of ET0 corresponded to a variation of 1.7% to 7.2% in the overestimation of the mean annual IWR, and the average overestimation of the IWR was 5.1%. On average, the overestimation was slightly reduced to 4.8% in DWR estimation, since the effect of A-P coefficients on the IWR estimation decreased as the IWR increased. This study demonstrates how the use of A-P coefficients can alter the estimation of ET0, IWR, and DWR in South Korea, which underscores the importance of their proper consideration in agricultural water management.
Highlights
The estimation of agricultural water demand is very important in long-term water resources planning, because agricultural water use accounts for the largest portion of total freshwater use.Globally, about 70% of freshwater is consumed by agricultural production [1], and agriculture will use more water in the future [2]
The overestimation was slightly reduced to 4.8% in design water requirement (DWR) estimation, since the effect of A-P coefficients on the irrigation water requirement (IWR) estimation decreased as the IWR increased
Coefficients can alter the estimation of ET0, IWR, and DWR in South Korea, which underscores the importance of their proper consideration in agricultural water management
Summary
The estimation of agricultural water demand is very important in long-term water resources planning, because agricultural water use accounts for the largest portion of total freshwater use. About 70% of freshwater is consumed by agricultural production [1], and agriculture will use more water in the future [2]. In order to estimate agricultural water demand, the reference crop evapotranspiration (ET0 ) needs to be calculated. The equation, can be restricted in use, since it requires a number of meteorological inputs which may not be available everywhere [4,5]. Global solar radiation is one of the essential inputs of the P-M equation. The Ångström–Prescott (A-P) formula is recommended for the estimation of the global solar radiation if it is not measured [3]
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