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http://dx.doi.org/10.9720/kseg.2013.4.467

Groundwater-use Estimation Method Based on Field Monitoring Data in South Korea  

Kim, Ji-Wook (Groundwater & Geotechnics Team, Korea Water Resources Corporation)
Jun, Hyung-Pil (Dept. of Water Resources Policy, Ministry of Land, Infrastructure and Transport)
Lee, Chan-Jin (Groundwater & Geotechnics Team, Korea Water Resources Corporation)
Kim, Nam-Ju (Geo Engineering Co. Ltd.)
Kim, Gyoo-Bum (K-water Institute, Korea Water Resources Corporation)
Publication Information
The Journal of Engineering Geology / v.23, no.4, 2013 , pp. 467-476 More about this Journal
Abstract
With increasing interest in environmental issues and the quality of surface water becoming inadequate for water supply, the Korean government has launched a groundwater development policy to satisfy the demand for clean water. To drive this policy effectively, it is essential to guarantee the accuracy of sustainable groundwater yield and groundwater use amount. In this study, groundwater use was monitored over several years at various locations in Korea (32 cities/counties in 5 provinces) to obtain accurate groundwater use data. Statistical analysis of the results was performed as a method for estimating rational groundwater use. For the case of groundwater use for living purposes, we classified the cities/counties into three regional types (urban, rural, and urban-rural complex) and divided the groundwater facilities into five types (domestic use, apartment housing, small-scale water supply, schools, and businesses) according to use. For the case of agricultural use, we defined three regional types based on rainfall intensity (average rainfall, below-average rainfall, and above-average rainfall) and the facilities into six types (rice farming, dry-field farming, floriculture, livestock-cows, livestock-pigs, and livestock-chickens). Finally, we developed groundwater-use estimation equations for each region and use type, using cluster analysis and regression model analysis of the monitoring data. The results will enhance the reliability of national groundwater statistics.
Keywords
Groundwater use; Monitoring; Cluster analysis; Regression analysis;
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  • Reference
1 Korea Environmental Institute (KEI), 2007, Policies for the Rational Utilization and Management of Groundwater Resources, Seoul, 90p (in Korean).
2 Ministry of Construction and Transportation (MOCT), 2006, Guideline for Groundwater Administrative Service, Seoul, 4-9 (in Korean).
3 Ministry of Land, Transport and Maritime (MLTM), 2011, National Water Resources Plan, Seoul, 18p (in Korean).
4 Ministry of Land, Transport and Maritime (MLTM) and Korea Water Resources Corporation (K-water), 2011, Analysis of Groundwater Use Survey, 34p (in Korean).
5 OECD, 2008, OECD Environmental Data: Compendium 2006-2008, 8-9.
6 Park, J. S. and Yoon, Y. S., 2002, Science of Statistics, Dasan Press, 201p (in Korean).
7 Park, W. B., Koh, G. W., Kim, B. S., Moon, D. C., and Yang, S. K., 2004, Estimation of agricultural groundwater withdrawal and characteristics of groundwater use in Jeju island, Proceedings of KoSSGE 2004 Spring Conference, 110-113 (in Korean).
8 Woo, N. C., Joe, M. J., and Kim, N. J., 1994, Development of a predictive model for groundwater use, The Journal of Engineering Geology, 4(3), 297-309 (in Korean).   과학기술학회마을
9 Zecster, I. S. and Everett, L. G., 2006, Ground Water Resources of the World and Their Use, NGWA Press, OH, USA, 13p.
10 Kim, J. W., 2012, Characteristics of water level change from National Groundwater Monitoring Network, Korea: Geostatistical interpretation and the implications for groundwater management, Ph. D. Thesis, Korea University, 3p (in Korean).
11 Ministry of Land, Transport and Maritime (MLTM), 2012, Master Plan for Groundwater, 4p (in Korean).
12 Ministry of Land, Transport and Maritime (MLTM) and Korea Water Resources Corporation (K-water), 2012, Groundwater Annual Report, 9p (in Korean).