Effects of Hydro-Meteorological Factors on Streamflow Withdrawal for Irrigation in Yeongsan River Basin

Jang Hyun Sung, Donghae Baek, Young Ryu, Seung Beom Seo and Kee-Won Seong
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Jang Hyun Sung: Han River Flood Control Office, Ministry of Environment, Seoul 06501, Korea
Donghae Baek: Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea
Young Ryu: National Institute of Meteorological Research, Seogwipo-si 63568, Korea
Seung Beom Seo: International School of Urban Sciences, University of Seoul, Seoul 02504, Korea
Kee-Won Seong: Civil and Environmental Engineering, Konkuk University, Seoul 05029, Korea

Sustainability, 2021, vol. 13, issue 9, 1-15

Abstract: The relationships between a variety of hydro-meteorological variables and irrigation water use rates (WUR) were investigated in this study. Standardized Precipitation Index (SPI), Potential Evapotranspiration (PET), and Normalized Difference Vegetation Index (NDVI) were explored to identify the relationship with the WUR. The Yeongsan river basin, the agricultural land of which is mostly occupied by well-irrigated paddy, was used for the pilot study. Four different temporal scales of SPI-3, 6, 9, and 12 were tested, and PET was calculated using the Thornthwaite method. To calculate NDVI, the surface spectral reflectance data, which was acquired by Moderate Resolution Imaging Spectroradiometer (MODIS) equipped on the Terra satellite, were used. As a result, there was a statistically significant relationship between SPI9 and the WUR during drought periods in which negative values of SPI9 were obtained. The WUR was strongly correlated with both PET and NDVI. Compared with SPI, the variability of WUR in this study area was more sensitively affected by PET and NDVI, which can cause a potential lack of agricultural water supply. The finding of this study implies that SPI9, PET, and NDVI are the critical factors for predicting water withdrawal during drought conditions so that they can be used for irrigational water use management. Although a part of the findings of this study has been discussed by a few previous studies, this study is novel in that it quantifies the relationship between these factors using actual field observations of streamflow withdrawal for irrigation.

Keywords: irrigation water use; streamflow withdrawal; drought; SPI; PET; NDVI (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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