How angstrom ngstrom-Prescott Coefficients Alter the Estimation of Agricultural Water Demand in South Koreaopen access
- Authors
- Jeong, Hanseok; Bhattarai, Rabin; Hwang, Syewoon; Son, Jae-Gwon; Jang, Taeil
- Issue Date
- Dec-2018
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Keywords
- design water requirement; irrigation water requirement; paddy irrigation; Penman-Monteith equation; reference crop evapotranspiration
- Citation
- Water (Switzerland), v.10, no.12
- Indexed
- SCIE
SCOPUS
- Journal Title
- Water (Switzerland)
- Volume
- 10
- Number
- 12
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/10979
- DOI
- 10.3390/w10121851
- ISSN
- 2073-4441
- Abstract
- The Food and Agriculture Organization (FAO) Penman-Monteith equation, recognized as the standard method for the estimation of reference crop evapotranspiration (), requires many meteorological inputs. The angstrom ngstrom-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 estimation. This study explored the effects of A-P coefficients not only on the estimation of , 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 , 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 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 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 , IWR, and DWR in South Korea, which underscores the importance of their proper consideration in agricultural water management.
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Collections - 농업생명과학대학 > Department of Agricultural Engineering, GNU > Journal Articles

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