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http://dx.doi.org/10.7745/KJSSF.2014.47.5.313

Evaluation of Practical Application of the Remote Monitoring System for Water Salinity in Estuary Lake During Farming Season  

Lee, Kyung-Do (Climate Change and Agroecology Division, National Academy of Agricultural Science, RDA)
Hong, Suk-Young (Climate Change and Agroecology Division, National Academy of Agricultural Science, RDA)
Kim, Yi-Hyun (Climate Change and Agroecology Division, National Academy of Agricultural Science, RDA)
Na, Sang-Il (Climate Change and Agroecology Division, National Academy of Agricultural Science, RDA)
Oh, Young-Jin (Department of rice and winter cereal crop, National Institute of Crop Science, RDA)
Publication Information
Korean Journal of Soil Science and Fertilizer / v.47, no.5, 2014 , pp. 313-318 More about this Journal
Abstract
The remote monitoring system of water salinity was assessed in Wando reclaimed land lake during a farming season in 2009. Increasing of water salinity in this lake used to bring about salt damage on rice plant occasionally. At the early stage of the rice growing period, rice growth was not damaged due to enough rainfall with more than 120 mm from the mid-May to the first ten days of June. Data collection using on-site water salinity measuring sensors every 2 hours and real-time transmission in system were carried out for the experiment. We compared the transmitted values from the sensor system with water sample values collected and analyzed by a local technical office. Salt concentrations measured by sensor in real-time monitoring system were available data. The regression equation between rainfall and water salinity was presented as (water salinity after rainfall) = $0.621{\times}$(water salinity before rainfall)${\times}exp(-0.0139{\times}rainfall)$, ($r^2=0.579$, p<0.01). It is suggested that the system is useful for stable farming in the area where farmer use water in reclaimed lakes as an irrigation source.
Keywords
Water salinity; Remote monitoring; Reclaimed land lake;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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