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http://dx.doi.org/10.7780/kjrs.2021.37.6.2.4

A Study of a Correlation Between Groundwater Level and Precipitation Using Statistical Time Series Analysis by Land Cover Types in Urban Areas  

Heo, Junyong (Division of Earth Environmental System Sciences (Major of Earth Environmental Sciences), Pukyong National University)
Kim, Taeyong (Division of Earth Environmental System Sciences (Major of Earth Environmental Sciences), Pukyong National University)
Park, Hyemin (Division of Earth Environmental System Sciences (Major of Earth Environmental Sciences), Pukyong National University)
Ha, Taejung (Division of Earth Environmental System Sciences (Major of Earth Environmental Sciences), Pukyong National University)
Kang, Hyungbin (Division of Earth Environmental System Sciences (Major of Earth Environmental Sciences), Pukyong National University)
Yang, Minjune (Department of Earth and Environmental Sciences, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.37, no.6_2, 2021 , pp. 1819-1827 More about this Journal
Abstract
Land-use/cover change caused by rapid urbanization in South Korea is one of the concerns in flood risk management because groundwater recharge by precipitation hardly occurs due to an increase in impermeable surfaces in urban areas. This study investigated the hydrologic effects of land-use/cover on groundwater recharge in the Yeonje-gu district of Busan, South Korea. A statistical time series analysis was conducted with temporal variations of precipitation and groundwater level to estimate lag-time based on correlation coefficients calculated from auto-correlation function (ACF), cross-correlation function (CCF), and moving average (MA) at five sites. Landform and land-use/cover within 250 m radius of the monitoring wells(GW01, GW02, GW03, GW04, and GW05) at five sites were identified by land cover and digital map using Arc-GIS software. Long lag-times (CCF: 42-71 days and MA: 148-161 days) were calculated at the sites covered by mainly impermeable surfaces(GW01, GW03, and GW05) while short lag-times(CCF: 4 days and MA: 67 days) were calculated at GW04 consisting of mainly permeable surfaces. The results suggest that lag-time would be one of the good indicators to evaluate the effects of land-use/cover on estimating groundwater recharge. The results of this study also provide guidance on the application of statistical time series analysis to environmentally important issues on creating an urban green space for natural groundwater recharge from precipitation in the city and developing a management plan for hydrological disaster prevention.
Keywords
groundwater level; precipitation; land-use/cover; lag-time; statistical series analysis;
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