• A Method to Filter Out the Effect of River Stage Fluctuations using Time Series Model for Forecasting Groundwater Level and its Application to Groundwater Recharge Estimation
  • Yoon, Heesung;Park, Eungyu;Kim, Gyoo-Bum;Ha, Kyoochul;Yoon, Pilsun;Lee, Seung-Hyun;
  • Korea Institute of Geoscience and Mineral Resources;Kyungpook National University;K-water Institute, Geowater+Research Center;Korea Institute of Geoscience and Mineral Resources;Korea Institute of Geoscience and Mineral Resources;K-water Institute, Geowater+Research Center;
  • 지하수위 시계열 예측 모델 기반 하천수위 영향 필터링 기법 개발 및 지하수 함양률 산정 연구
  • 윤희성;박은규;김규범;하규철;윤필선;이승현;
  • 한국지질자원연구원 지구환경연구본부;경북대학교;K-water 연구원 수변지하수연구단;한국지질자원연구원 지구환경연구본부;한국지질자원연구원 지구환경연구본부;K-water 연구원 수변지하수연구단;
References
  • 1. An, J.H., Hamm, S.Y., Lee, J.H., Kim, N.H., Yang, D.B., and Hwang, J.G., 2008, Estimation of groundwater recharge in Junggwae-Boeun area in Ulsan City using the water balance and hydrogeological analyses, Econ. Environ. Geol., 41(4), 427-442.
  •  
  • 2. Andreo, B., Vias, J., Duran, J.J., Jimenez, P., Lopez-Geta, J.A., and Carrasco, F., 2008, Methodology for groundwater recharge assessment in carbonate aquifers: application to pilot sites in southern Spain, Hydrogeol. J., 16, 911-925.
  •  
  • 3. Arnold, J.G. and Allen, P.M., 1999, Automated methods for estimating baseflow and groundwater recharge from streamflow records, J. Am. Water Resour. Assoc., 35, 411-424.
  •  
  • 4. Bae, S.K. and Kim, Y.H., 2006, Estimation of groundwater recharge rate using the NRCS-CN and the baseflow separation methods, J. Environ. Sci., 15(3), 253-260.
  •  
  • 5. Box, G.E.P. and Jenkins, G.M., 1976, Time Series Analysis-Forecasting and Control, Holden-Day, San Francisco, California, USA, 575 p.
  •  
  • 6. Charbeneau, R.J., 2000, Ground Water Hydraulics and Pollutant Transport, Prentice-Hall, Old Tappan, N.J., 593 p.
  •  
  • 7. Chio, I.H., Woo, N.C., Kim, S.J., Moon, S.K., and Kim, J., 2007, Estimation of the groundwater recharge rate during a rainy season at a headwater catchment in Gwangneung, Korea, Kor. J. Agr. For. Mateorol., 9, 75-87.
  •  
  • 8. Constantz, J., Tyler, S.W., and Kwicklis, E.M., 2003, Temperature-profile methods for estimating percolation rates in arid environments, Vadose Zone J., 2, 12-24.
  •  
  • 9. Coppola, E., Rana, A.J., Poulton, M.M., Szidarovszky, F., and Uhl, V.V., 2005, A neural network model for predicting aquifer water level elevations, Ground Water, 43(2), 231-241.
  •  
  • 10. Crosbie, R.S., Binning, P., and Kalma, J.D., 2005, A time series approach to inferring groundwater recharge using the water table fluctuation, Water Resour. Res., 41, 1-9.
  •  
  • 11. Dages, C., Voltz, M., and Bsaibes, A., 2009, Estimating the role of a ditch network in groundwater recharge in a Mediterranean catchment using a water balance approach, J. Hydrol., 375, 495-512.
  •  
  • 12. Healy, R.W. and Cook, P.G., 2002, Using groundwater levels to estimate recharge, Hydrogeol. J., 10, 91-109.
  •  
  • 13. Herrera, L.J., Pomares, H., Rojas, I., Guillen, A., Prieto, A., and Valenzuela, O., 2007, Recursive prediction for long term time series forecasting using advanced models, Neurocomputing, 70(16-18), 2870-2880.
  •  
  • 14. Huang, T. and Pang, Z., 2011, Estimating groundwater recharge following land-use change using chloride mass balance of soil profiles: a case study at Guyuan and Xifeng in the Loess Plateau of China, Hydrogeol. J., 19, 177-186.
  •  
  • 15. Ji, Y., Hao, J., Reyhani, N., and Lendasse, A., 2005, Direct and recursive prediction of time series using mutual information selection, Lect. Notes Comput. Sc., 3512, 1010-1017.
  •  
  • 16. Jung, Y., Lim, K.J., and Kim, H., 2014, Estimation of baseflow considering recession characteristic of hydrograph, J. Wetl., Res., 16(2), 161-171.
  •  
  • 17. Kim, G.B., Yi, M.J., Kim, J.W., Lee, J.Y., and Lee, K.K., 2004, Evaluation of estimating groundwater recharge using water level data obtained from the national groundwater monitoring stations, J. Eng. Geol., 14(3), 313-323.
  •  
  • 18. Koo, M.H. and Lee, D.H., 2002, A numerical analysis of the water level fluctuation method for quantifying groundwater recharge, J. Geol. Soc. Korea, 38(3), 407-420.
  •  
  • 19. Koo, M.H., Kim, T.K., Kim, S.S., Chung, S.R., Kang, I.O., Lee, C.J., and Kim, Y., 2013, Estimating groundwater recharge using the water-table fluctuation method: Effect of stream-aquifer interactions, J. Soil Groundw. Environ., 18(5), 65-76.
  •  
  • 20. K-water, 2013, Research on flooding vulnerability assessment using groundwater level, MOLIT, Water Resources Management Project Report, Korea, 334 p.
  •  
  • 21. Lee, M.J. and Lee, J.H., 2011, Coupled model development between groundwater recharge quantity and climate change using GIS, J. Korean Assoc. Geogr. Info. Stud., 14(3), 36-51.
  •  
  • 22. Lim, K.J., Engel, B.A., Tang, Z., Choi, J., Kim, K.S., Muthukrishnan, S. and Tripathy, D., 2005, Automated WEB GIS based hydrograph analysis tool, WHAT, J. Amer. Water Resour. Assoc., 41, 1407-1416.
  •  
  • 23. Maier, H.R., Jain A., Dandy, G.C., and Sudheer, K.P., 2010, Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions, Environ. Modell. Softw., 25, 891-909.
  •  
  • 24. Nayak, P.C., Satyaji Rao, Y.R., and Sudheer, K.P., 2006, Groundwater level forecasting in a shallow aquifer using artificial neural network approach, Water Resour. Manag., 20, 77-90.
  •  
  • 25. Park, E., 2012, Delineation of recharge rate from a hybrid water table fluctuation method, Water Reour. Res., 48, W07503, doi:10.1029/2011WR011696.
  •  
  • 26. Park, J.S., Kim, K.H., Jeon, M.W., and Kim, J.S., 1999, Estimation methods of groundwater recharge rate in small basin, J. Korean Soc. Groundw. Environ., 6(2), 76-86.
  •  
  • 27. Rawat, K.S., Mishra, A.K., Paul, G., and Kumar, R., 2012, Estimation of ground water recharge in Shankergarh block of Allahabad(India) using remote sensing and statistical approach, Global J. Sci. Eng. Techn., 1, 34-48.
  •  
  • 28. Rumelhart, D.E., McClelland, J.L., and The PDP Research Group, 1986, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, MIT Press, Cambridge, Massachusetts, USA, 516 p.
  •  
  • 29. Sanford, W.E., 2002, Recharge and groundwater models: an overview, Hydrogeol. J., 10, 110-120.
  •  
  • 30. Scanlon, B.R., Reedy, R.C., and Tachovsky, J.A., 2007, Semiarid unsaturated zone chloride profiles: archives of past land use changes impacts on water reources in the southern High Plains, United States, Water Resour. Res., 43, W06423, doi:10.1029/2006WR005769.
  •  
  • 31. Stoertz, M.W. and Bradbury, K.R., 1989, Mapping recharge areas using a groundwater-flow model: a case study, Ground Water, 27, 220-228.
  •  
  • 32. Tankersley, C.D., Graham, W.D., and Hatfield, K., 1993, Comparison of univariate and transfer function models of groundwater fluctuations, Water Resour. Res., 29, 3517-3533.
  •  
  • 33. van Genuchten, M.Th., 1980, A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892-898.
  •  
  • 34. Yi, M.J. and Lee, K.K., 2004, Transfer function-noise modeling of irregularly observed groundwater heads using precipitation data, J. Hydrol., 288, 272-287.
  •  
  • 35. Yoon, H., Jun, S.C., Hyun, Y., Bae, G.O., and Lee, K.K., 2011, A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer, J. Hydrol., 396, 128-138.
  •  
  • 36. Yoon, H., Kim, Y., Ha, K., and Kim, G.B., 2013, Application of groundwater-level prediction model using data-based learning algorithms to National Groundwater Monitoring Network data, J. Eng. Geol., 23(2), 137-147.
  •  
  • 37. Yun, S.W., Jo, Y.J., and Lee, J.Y., 2009, Comparison of groundwater recharges estimated by waterlevel fluctuation and hydrograph separation in Haean basin of Yanggu, J. Geol. Soc. Korea, 45, 391-404.
  •  

This Article

  • 2015; 20(3): 74-82

    Published on Jun 30, 2015

  • 10.7857/JSGE.2015.20.3.074
  • Received on May 11, 2015
  • Revised on Jun 1, 2015
  • Accepted on Jun 9, 2015

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