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http://dx.doi.org/10.3741/JKWRA.2006.39.2.121

The Correlation between Groundwater Level and GOI with Snowmelt Effect in Ssangchun Watershed  

Yang, Jeong-Seok (Dept. of Civil Engineering, Inje University,)
Lim, Chang-Hwa (Dept. of Civil Engineering, Inje University,)
Park, Jae-Hyeon (Dept. of Civil Engineering, Inje University,)
Park, Chang-Kun (School of SOC Engineering, Kwandong University)
Publication Information
Journal of Korea Water Resources Association / v.39, no.2, 2006 , pp. 121-126 More about this Journal
Abstract
Snowmelt effect is identified from the analysis of the relationship between precipitation and groundwater level(GWL) data and Severe drawdown of GWL is observed in drought. Groundwater dam Operation Index (GOI), which is developed for the optimal operation of groundwater dam, is calculated by taking common logarithm of the moving average(MA) of precipitation data for a certain period. The period can vary from watershed to watershed because the period is decided by picking the maximum correlation coefficient between GWL and GOI of several MAs of precipitation. For Ssangchun watershed, the correlation was the strongest when we apply 70 day MA for GOI calculation. Snowmelt effect is considered by applying the temperature change by elevation($0.5^{\circ}C$ decrease per 100m) and examining the areal distribution of the watershed by elevation. Snow event is assumed when the daily average temperature is below $0^{\circ}C$ and snowmelt is assumed when the temperature is above zero degree Celsius. Total snowmelt is assumed for the day. When the snow event is occurred the precipitation data is separated into two components, snow and rainfall. The areal distribution by elevation is used for the calculation in the separation. The correlation between GWL and GOI is higher when we consider snowmelt effect than we neglected it.
Keywords
Groundwater dam; Moving Average of precipitation; GOI; smowmelt effect;
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Times Cited By KSCI : 1  (Citation Analysis)
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