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Estimation of design water requirement using FAO Penman-Monteith and optimal probability distribution function in South Korea

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  • Yoo, Seung-Hwan
  • Choi, Jin-Yong
  • Jang, Min-Won

Abstract

Estimation of the design water requirement (DWR) is a key part of design and operation of agricultural water resource systems. DWR is determined from frequency analysis of crop water requirement, and the reference return period has been 10 years in South Korea. This study aimed to propose a guideline for determining DWR using Food and Agriculture Organization (FAO) Penman-Monteith method and optimal probability distribution function (PDF). To find an optimal PDF, nine types of PDF were tested using the Kolmogorov-Smirnov (K-S) and Probability Plot Correlation Coefficient (PPCC) goodness-of-fit methods. From the test, the Generalized Logistic (GLO) was selected and DWRs were estimated using the chosen optimal PDF. To demonstrate the DWR differences among the PDFs, DWR and drought reference design year were compared for the three selected PDFs, GLO, Generalized Extreme Values (GEV) and Weibull (WBU). The results would effect on the design and operation of the agricultural water resources structures in terms of capacity and capability in South Korea.

Suggested Citation

  • Yoo, Seung-Hwan & Choi, Jin-Yong & Jang, Min-Won, 2008. "Estimation of design water requirement using FAO Penman-Monteith and optimal probability distribution function in South Korea," Agricultural Water Management, Elsevier, vol. 95(7), pages 845-853, July.
    • Handle: RePEc:eee:agiwat:v:95:y:2008:i:7:p:845-853
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    References listed on IDEAS

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    1. Jang, Min-Won & Choi, Jin-Yong & Lee, Jeong-Jae, 2007. "A spatial reasoning approach to estimating paddy rice water demand in Hwanghaenam-do, North Korea," Agricultural Water Management, Elsevier, vol. 89(3), pages 185-198, May.
    2. Kuo, Sheng-Feng & Ho, Shin-Shen & Liu, Chen-Wuing, 2006. "Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan," Agricultural Water Management, Elsevier, vol. 82(3), pages 433-451, April.
    3. Abdelhadi, A. W. & Hata, Takeshi & Tanakamaru, Haruya & Tada, Akio & Tariq, M. A., 2000. "Estimation of crop water requirements in arid region using Penman-Monteith equation with derived crop coefficients: a case study on Acala cotton in Sudan Gezira irrigated scheme," Agricultural Water Management, Elsevier, vol. 45(2), pages 203-214, July.
    4. de Azevedo, Pedro V. & da Silva, Bernardo B. & da Silva, Vicente P. R., 2003. "Water requirements of irrigated mango orchards in northeast Brazil," Agricultural Water Management, Elsevier, vol. 58(3), pages 241-254, February.
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    Cited by:

    1. Seung-Hwan, Yoo & Jin-Yong, Choi & Sang-Hyun, Lee & Yun-Gyeong, Oh & Dong Koun, Yun, 2013. "Climate change impacts on water storage requirements of an agricultural reservoir considering changes in land use and rice growing season in Korea," Agricultural Water Management, Elsevier, vol. 117(C), pages 43-54.
    2. Jung, Jae-Woon & Yoon, Kwang-Sik & Choi, Dong-Ho & Lim, Sang-Sun & Choi, Woo-Jung & Choi, Soo-Myung & Lim, Byung-Jin, 2012. "Water management practices and SCS curve numbers of paddy fields equipped with surface drainage pipes," Agricultural Water Management, Elsevier, vol. 110(C), pages 78-83.
    3. Jeong, Hanseok & Kim, Hakkwan & Jang, Taeil & Park, Seungwoo, 2016. "Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model," Agricultural Water Management, Elsevier, vol. 163(C), pages 393-402.
    4. Sánchez-Molina, J.A. & Rodríguez, F. & Guzmán, J.L. & Ramírez-Arias, J.A., 2015. "Water content virtual sensor for tomatoes in coconut coir substrate for irrigation control design," Agricultural Water Management, Elsevier, vol. 151(C), pages 114-125.

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