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http://dx.doi.org/10.5532/KJAFM.2019.21.4.297

Relationship between Measured and Predicted Soil Water Content using Soil Moisture Monitoring Network  

Ok, Jung-hun (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Dong-Jin (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)
Han, Kyung-hwa (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)
Jung, Kang-Ho (Divison of Planning and Coordination, National Institute of Agricultural Sciences, Rural Development Administration)
Lee, Kyung-Do (Divison of Climate Change and Agroecology, National Institute of Agricultural Sciences, Rural Development Administration)
Zhang, Yong-seon (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)
Cho, Hee-rae (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)
Hwang, Seon-ah (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.21, no.4, 2019 , pp. 297-306 More about this Journal
Abstract
Soil moisture monitoring is an important task to cope with climate change, and soil water prediction can provide large-scale soil moisture information. Therefore, this study was conducted to evaluate the relationship between the measured and predicted soil water content, and to estimate the correlation between the soil characteristics and soil water content. The selected sites in soil moisture monitoring network were 76, and the soil with high sand content (sand, loamy sand, and sandy loam in soil texture) accounted for 77% of the total. Organic matter and bulk density were 0.03 to 3.50% and 1.01 to 1.69 Mg m-3, respectively. Predicting values of field capacity and wilting point were lower than the measured soil water content, and the correlation coefficient between the measured and predicted values were low as 0.548 to 0.748. However, a significantly high positive correlation (p<0.01) found between the measured and predicted soil water content. Soil water (field water capacity and wilting point) content was highly positively correlated with silt, clay, and organic matter (p<0.01) and highly negatively correlated with sand (p<0.01).
Keywords
Field capacity; Wilting point; Soil water; Predicting equation; Soil characteristics;
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Times Cited By KSCI : 2  (Citation Analysis)
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