• Title/Summary/Keyword: Hydromad

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Estimation of delay time between precipitation and groundwater level in the middle mountain area of Pyoseon watershed in Jeju Island using moving average method and cross correlation coefficient (이동평균법과 교차상관계수를 이용한 제주도 표선유역 중산간지역의 강수량과 지하수위 간의 지체시간 추정)

  • Shin, Mun-Ju;Moon, Soo-Hyoung;Koh, Gi-Won;Moon, Duk-Chul
    • Journal of Korea Water Resources Association
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    • v.53 no.7
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    • pp.533-543
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    • 2020
  • In order to provide information for proper management of groundwater resources, it is necessary to estimate the rise time of groundwater level by calculating the delay time between the time series of precipitation and groundwater level and to understand the characteristics of groundwater level variation. In this study, total delay time (TDT) and cross correlation coefficient between the moving averaged precipitation generated by using the moving average method to take into account the preceding precipitation and the groundwater level were calculated and analyzed for the nine groundwater level monitoring wells in the Pyoseon watershed in the southeast of Jeju Island. As a result, when the moving averaged precipitation was used, the correlation with the groundwater level was higher in all monitoring wells than in the case of using the raw precipitation, so that it was possible to more clearly estimate the delay time between precipitation and groundwater level. When using the moving averaged precipitation, it had cross correlation coefficients of up to 0.57 ~ 0.58 with the time series data of the groundwater level, and had a relatively high correlation when considering the preceding precipitation of about 24 days on average. The TDT was about 32 days on average, and it was confirmed that the consideration of preceding precipitation plays an important role in estimating the TDT because the days of moving averaged precipitation greatly influences the calculation of the TDT. In addition, through the use of moving averaged precipitation, we found an error in estimating the TDT due to the use of raw precipitation. Through the method of estimating the TDT used in this study and the use of the R code for estimating the TDT presented in the appendix of this paper, it will be possible to estimate the TDT for other regions in the future relatively easily.