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http://dx.doi.org/10.5389/KSAE.2021.63.6.131

Prediction of the Salinization in Reclaimed Land by Soil and Groundwater Characteristics  

Jeon, Jihun (Department of Rural Systems Engineering, Seoul National University)
Kim, Donggeun (Research Institute for Agriculture and Life Sciences, Seoul National University)
Kim, Taejin (Department of Rural Systems Engineering, Seoul National University)
Kim, Keesung (Research Institute of Advanced Materials, Seoul National University)
Jung, Hosup (Center for Food and Bioconvergence, Seoul National University)
Son, Younghwan (Department of Rural Systems Engineering and Research Institute for Agriculture and Life Sciences, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.63, no.6, 2021 , pp. 131-140 More about this Journal
Abstract
It is becoming more important to utilize reclaimed lands in South Korea, due to the increasing competition for its usage among different sectors. However, the high groundwater level and poor permeability are exposing them to deterioration by salinization. Salinization is difficult to predict because the pattern changes according to various characteristics of soil and groundwater. In this study, the capillary rising time was studied by the water content profile in the soil. The prediction equation of soil salinity was developed based on simulation result of the CHEMFLO model. to enable prediction considering various soil water content and groundwater level. The two terms constituting the equation showed the coefficients of determination of 0.9816 and 0.9824, respectively. Using the prediction equation of the study, the surface salinity can be easily predicted from the initial surface salinity and the salinity of the groundwater. In the future, more precise predictions will be possible with the results of studies on the hydraulic characteristics of various reclaimed soils, changes in water content profile by seasonal and climate events.
Keywords
Reclaimed land; salinization; CHEMFLO; salinity prediction;
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