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논문 기본 정보

자료유형
학술저널
저자정보
Dong-Jin Kim (Rural Development Administration) Kyung-hwa Han (Rural Development Administration) Yong-seon Zhang (Rural Development Administration) Hee-rae Cho (Rural Development Administration) Seon-ah Hwang (Rural Development Administration) Jung-hun Ok (Rural Development Administration) Kum-Sik Choi (Rural Development Administration) Jung-soon Choi (Rural Development Administration)
저널정보
한국토양비료학회 한국토양비료학회지 한국토양비료학회지 제51권 제4호
발행연도
2018.11
수록면
510 - 521 (12page)

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Water is closely linked to agricultural productivity and is an essential resource for agriculture. Climate change and drought are causing water scarcity, and that has an enormous impact on agricultural productivity. Efficient water management methods are needed to prepare for water shortages. The lysimeter is well known as a facility for precisely measuring water and nutrient movement in the soil. Therefore, this study was conducted to investigate the evapotranspiration of different paddy soils using weighable lysimeter and to evaluate the relationship between the evapotranspiration estimated by weighable lysimeter and the reference evapotranspiration estimated by FAO Penman-Monteith equation and Hargreaves equation. This study was performed in lysimeter facility located at the National Institute of Agricultural Sciences, Rural Development Administration, and used lysimeter weight values and meteorological data measured from 1st January to 30th April in 2018. The daily evapotranspiration estimated by the lysimeter was ET<SUB>LY</SUB>, the reference evapotranspiration estimated by FAO Penman-Monteith equation was ET<SUB>PM</SUB>, and the reference evapotranspiration estimated by Hargreaves equation was ETHS. ET<SUB>LY</SUB> showed that loam (L) was higher than that of sandy loam(SL) and silty clay loam (SiCL). The accumulated evapotranspiration from 1st January to 30th April in 2018 was in the order of L (235 mm) > SL (231 mm) > SiCL (192 mm). Solar radiation showed a higher coefficient of determination (R<SUP>2</SUP>) than mean temperature in the correlation between the meteorological data and ETLY. The relationship between ET<SUB>LY</SUB> and ET<SUB>HS</SUB> showed a relatively low coefficient of determination, whereas the coefficient of determination in the relationship between ET<SUB>LY</SUB> and ET<SUB>PM</SUB><SUB></SUB> showed relatively high fitness for SiCL (0.631), L (0.860) and SL (0.884). Precise measurement and management of soil moisture using lysimeter are expected to be possible.

목차

ABSTRACT
Introduction
Materials and Methods
Results and Discussion
Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2019-523-000170033