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2018 Vol.51, Issue 4 Preview Page

Original research article

Evaluation of Evapotranspiration in Different Paddy Soils Using Weighable Lysimeter Before Flooding Stage
Dong-Jin Kim1
,
Kyung-hwa Han1
,
Yong-seon Zhang1
,
Hee-rae Cho1
,
Seon-ah Hwang1
,
Jung-hun Ok1*
,
Kum-Sik Choi1
,
Jung-soon Choi1
,
,
,
,
,
,
,
1Division of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, Jeonbuk 55365, Korea
*Corresponding Author
30 November 2018. pp. 510-521
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Abstract

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 ETLY, the reference evapotranspiration estimated by FAO Penman-Monteith equation was ETPM, and the reference evapotranspiration estimated by Hargreaves equation was ETHS. ETLY 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 (R2) than mean temperature in the correlation between the meteorological data and ETLY. The relationship between ETLY and ETHS showed a relatively low coefficient of determination, whereas the coefficient of determination in the relationship between ETLY and ETPM 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.

The coefficient of determination (R2) and linear equation between the ETLY and ETPM/ETHS estimated by the regression equation.

Soil ETLY-ETPM ETLY-ETHS
Linear equation R2 Linear equation R2
Silty clay loam y=0.853x+0.263 0.631 y=0.535x+0.448 0.407
Loam y=1.179x+0.107 0.860 y=0.793x+0.248 0.638
Sandy loam y=1.237x-0.018 0.884 y=0.841x+0.112 0.669

†ETLY, evapotranspiration estimated by weighable lysimeter; ETPM, reference evapotranspiration estimated by FAO Penman-Monteith equation (Allen et al., 1998); ETHS, reference evapotranspiration estimated by Hargreaves equation (Hargreaves and Samani, 1985).

Keywords
Evapotranspiration
FAO Penman-Monteith equation
Hargreaves equation
Lysimeter
Paddy soil
Water scarcity

References
1
Allen, R.G., L.S. Pereira, D. Raes, and M. Smith. 1998. FAO irrigation and drainage paper, No. 56, Crop evapotranspiration: guidelines for computing crop water requirements. Food and Agriculture Organization of the United Nations, Rome, Italy.
2
Anapalli, S.S., L.R. Ahuja, P.H. Gowda, L. Ma, G. Marek, S.R. Evett, and T.A. Howell. 2016. Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters. Agric. Water Manag. 177:274-283.
10.1016/j.agwat.2016.08.009
3
Blake, G.R. and K.H. Hartge. 1986. Bulk density in methods of soil analysis. In: A. Klute (ed.). Method of soil analysis. Part 1. (2nd edition). American Society of Agronomy, Madison, Wisconsin, USA.
4
Chae, J.C. and S.W. Kim. 2001. Effect of soil texture on rice growth and paddy soil percolation under lysimeter condition. Korean J. Crop Sci. 46:236-240.
5
Chartzoulakis, K. and M. Bertaki. 2015. Sustainable water management in agriculture under climate change. Agric. Agric. Sci. Procedia 4:88-98.
10.1016/j.aaspro.2015.03.011
6
Eom, K.C., P.K. Jung, M.H. Koh, S.H. Kim, S.Y. Yoo, S.H. Park, S.O. Hur, and S.K. Ha. 2010. Water saving irrigation manual of spring chinese cabbage. Korean J. Soil Sci. Fert. 43(6):812-822.
7
Gee, G.W. and J.W. Bauder. 1986. Particle size analysis. In: A. Klute (ed.). Method of soil analysis. Part 1. (2nd edition). American Society of Agronomy, Madison, Wisconsin, USA.
8
Hanjra, M.A. and M.E. Qureshi. 2010. Global water crisis and future food security in an era of climate change. Food Policy 35:365-377.
10.1016/j.foodpol.2010.05.006
9
Hargreaves, G.H. and Z.A. Samani. 1985. Reference crop evapotranspiration from temperature. Am. Soc. Agric. Eng. 1(2):96-99.
10.13031/2013.26773
10
Jensen, M.E., R.D. Burman, and R.G. Allen. 1990. Evapotranspiration and irrigation water requirements. American Society of Civil Engineers Manuals and Reports on Engineering. Practice No. 70. American Society of Civil Engineers, New York, USA.
11
Jeon, S.H., S.O. Hur, S.K. Ha, H.J. Jun, K.H. Han, H.R. Cho, and S.D. Hung. 2010. Water saving irrigation point in cucumber cultivation under greenhouse. Korean J. Soil Sci. Fert. 43(5):418-423.
12
Kim, B.K., H.Y. Gong, J.S. Shim, and S.D. Hong. 2010. Water use efficiency of barley, wheat, and millet affected by groundwater table under lysimeter. Korean J. Soil Sci. Fert. 43(3):253-259.
13
Klammler, G. and J. Fank. 2014. Determining water and nitrogen balances for beneficial management practices using lysimeters at Wagna test site (Austria). Sci. Total Environ. 499:448-462.
10.1016/j.scitotenv.2014.06.00924982000
14
Lee, B.Y., S.K. Yang, K.H. Kwon, and J.B. Kim. 2012. The effect of evapotranspiration by altitude and observation of lysimeter. J. Environ. Sci. 21(6):749-755.
15
Lee, K.H. and H.Y. Cho. 2011. Estimation of the reference evapotranspiration using daily sunshine hour. J. Environ. Impact Assess. 20(5):627-640.
16
Lee, K.H. and J.H. Park. 2008. Calibration of the Hargreaves equation for the reference evapotranspiration estimation on a nation-wide scale. Korean Soc. Civil Eng. 28(6B):675-681.
17
Lee, K.H., H.Y. Cho, and N.S. Oh. 2008. Calibration and validation of the Hargreaves equation for the reference evapotranspiration estimation in Gyeonggi bay watershed. J. Korea Water Resour. Assoc. 41(4):413-422.
10.3741/JKWRA.2008.41.4.413
18
Lee, Y.J., K.H. Han, S.B. Lee, J.K. Sung, Y.S. Song, and D.B. Lee. 2017. Nutrient leaching and crop uptake in weighing lysimeter planted with soybean as affected by water management. Korean J. Environ. Agric. 36(3):147-153.
10.5338/KJEA.2017.36.3.30
19
Meißner, R., M.N.V. Prasad, G. Du Laing, and J. Rinklebe. 2010. Lysimeter application for measuring the water and solute fluxes with high precision. Curr. Sci. India 99(5):601-607.
20
MOLIT (Ministry of Land, Infrastructure and Transport). 2011. Water resource long-term plan (2011-2020). Ministry of Land, Infrastructure and Transport. Gwacheon, Korea.
21
Moon, J.W., C.G. Jung, and D.R. Lee. 2013. Parameter regionalization of Hargreaves equation based on climatological characteristics in Korea. J. Korea Water Resour. Assoc. 46(9):933-946.
10.3741/JKWRA.2013.46.9.933
22
Pereira, L.S., T. Oweis, and A. Zairi. 2002. Irrigation management under water scarcity. Agric. Water Manag. 57:175-206.
10.1016/S0378-3774(02)00075-6
23
Rim, C.S. 2008a. Trends of annual and monthly FAO Penman-Monteith reference evapotranspiration. Korean Soc. Civil Eng. 28(1B):65-77.
24
Rim, C.S. 2008b. Comparison of evapotranspiration estimation approaches considering grass reference crop. J. Korea Water Resour. Assoc. 41(2):212-228.
10.3741/JKWRA.2008.41.2.212
25
Saccon, P. 2018. Water for agriculture, irrigation management. Appl. Soil Ecol. 123:793-796.
10.1016/j.apsoil.2017.10.037
26
Seo, M.J., K.H. Han, H.R. Cho, J.H. Ok, Y.S. Zhang, Y.H. Seo, K.H. Jung, H.S. Lee, and G.S. Kim. 2017. Interpreting in situ soil water characteristics curve under different paddy soil types using undisturbed lysimeter with soil sensor. Korean J. Soil Sci. Fert. 50(5):336-344.
27
Seo, M.J., K.H. Han, K.H. Jung, H.R. Cho, Y.S. Zhang, and S.Y. Choi. 2016. Effect of temperature and plow pan on water movement in monolithic weighable lysimeter with paddy sandy loam soil during winter season. Korean J. Soil Sci. Fert. 49(4):300-309.
10.7745/KJSSF.2016.49.4.300
28
UNESCO (United Nations Educational, Scientific and Cultural Organization). 2001. Securing the food supply. UNESCO, Paris.
29
Vargas-Amelin, E. and P. Pindado. 2014. The challenge of climate change in Spain: Water resources, agriculture and land. J. Hydrol. 518:243-249.
10.1016/j.jhydrol.2013.11.035
30
Yoo, S.H., J.Y. Choi, and M.W. Jang. 2007. Estimating paddy rice evapotranspiration of 10-year return period drought using frequency analysis. J. Korean Soc. Agric. Eng. 49(3):11-20.
31
Yoon, P.R. and J.Y. Choi. 2018. Assessment of reference evapotranspiration equations for missing and estimated water data. J. Korean Soc. Agric. Eng. 60(3):15-25.
Information
  • Publisher :Korean Society of Soil Science and Fertilizer
  • Publisher(Ko) :한국토양비료학회
  • Journal Title :Korean Journal of Soil Science and Fertilizer
  • Journal Title(Ko) :한국토양비료학회 학회지
  • Volume : 51
  • No :4
  • Pages :510-521
  • Received Date : 2018-09-30
  • Revised Date : 2018-11-28
  • Accepted Date : 2018-11-29
  • DOI :https://doi.org/10.7745/KJSSF.2018.51.4.510
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