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Volumn 54, Issue 4-5, 2015, Pages 1270-1280

Groundwater levels estimation and forecasting by integrating precipitation-based period-dividing algorithm and response surface methodology

Author keywords

Forecasting; Groundwater dam; Groundwater level; Optimal water pumping strategy; Response surface methodology

Indexed keywords


EID: 84926420625     PISSN: 19443994     EISSN: 19443986     Source Type: Journal    
DOI: 10.1080/19443994.2014.917989     Document Type: Article
Times cited : (3)

References (21)
  • 1
    • 22244490375 scopus 로고    scopus 로고
    • Multimodel ranking and inference in ground water modeling
    • E. Poeter, D. Anderson, Multimodel ranking and inference in ground water modeling, Ground Water 43 (2005) 597–605.10.1111/gwat.2005.43.issue-4
    • (2005) Ground Water , vol.43 , pp. 597-605
    • Poeter, E.1    Anderson, D.2
  • 3
    • 79955602371 scopus 로고    scopus 로고
    • A review of regional groundwater flow modeling
    • Y. Zhou, W. Li, A review of regional groundwater flow modeling. Geoscience Frontiers 2 (2011) 205–214.10.1016/j.gsf.2011.03.003
    • (2011) Geoscience Frontiers , vol.2 , pp. 205-214
    • Zhou, Y.1    Li, W.2
  • 4
    • 74249116670 scopus 로고    scopus 로고
    • An unconfined groundwater model of the death valley regional flow system and a comparison to its confined predecessor
    • R.W.H. Carroll, G.M. Pohll, R.L. Hershey, An unconfined groundwater model of the death valley regional flow system and a comparison to its confined predecessor, J. Hydrol. 373 (2009) 316–328.10.1016/j.jhydrol.2009.05.006
    • (2009) J. Hydrol. , vol.373 , pp. 316-328
    • Carroll, R.W.H.1    Pohll, G.M.2    Hershey, R.L.3
  • 5
    • 84860347501 scopus 로고    scopus 로고
    • Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool – A case of predicting potential zones of sustainable groundwater resources
    • K.A.N. Adiat, M.N.M. Nawawi, K. Abdullah, Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool – A case of predicting potential zones of sustainable groundwater resources, J. Hydrol. 440–441 (2012) 75–89.10.1016/j.jhydrol.2012.03.028
    • (2012) J. Hydrol. , vol.440-441 , pp. 75-89
    • Adiat, K.A.N.1    Nawawi, M.N.M.2    Abdullah, K.3
  • 6
    • 84856406533 scopus 로고    scopus 로고
    • Toward calibration of regional groundwater models using GRACE data
    • A.Y. Sun, R. Green, S. Swenson, M. Rodell, Toward calibration of regional groundwater models using GRACE data, J. Hydrol. 422–423 (2012) 1–9.10.1016/j.jhydrol.2011.10.025
    • (2012) J. Hydrol. , vol.422-423 , pp. 1-9
    • Sun, A.Y.1    Green, R.2    Swenson, S.3    Rodell, M.4
  • 8
    • 84862788549 scopus 로고
    • Groundwater modeling of a coastal dune using remote sensing and GIS
    • T.W. Homba, R.C. Bottelier, L.L.F. Janssen, Groundwater modeling of a coastal dune using remote sensing and GIS. EARSeL Adv. Remote Sens. 4 (1995) 115–127.
    • (1995) EARSeL Adv. Remote Sens. , vol.4 , pp. 115-127
    • Homba, T.W.1    Bottelier, R.C.2    Janssen, L.L.F.3
  • 10
    • 0031260124 scopus 로고    scopus 로고
    • Estimating fluctuation quantities from time series of water-table depths using models with a stochastic component
    • M. Knotters, P.E.V. Van Walsum, Estimating fluctuation quantities from time series of water-table depths using models with a stochastic component, J. Hydrol. 197 (1997) 25–46.10.1016/S0022-1694(96)03278-7
    • (1997) J. Hydrol. , vol.197 , pp. 25-46
    • Knotters, M.1    Van Walsum, P.E.V.2
  • 11
    • 0030615817 scopus 로고    scopus 로고
    • An extension of Box-Jenkins transfer/noise models for spatial interpolation of groundwater head series
    • F.C. van Geera, A.F. Zuur, An extension of Box-Jenkins transfer/noise models for spatial interpolation of groundwater head series, J. Hydrol. 192 (1997) 65–80.10.1016/S0022-1694(96)03113-7
    • (1997) J. Hydrol. , vol.192 , pp. 65-80
    • van Geera, F.C.1    Zuur, A.F.2
  • 12
    • 0031715454 scopus 로고    scopus 로고
    • Modeling water table fluctuations by means of a stochastic differential equation
    • M.F.P. Bierkens, Modeling water table fluctuations by means of a stochastic differential equation, Water Resour. Res. 34 (1998) 2485–2499.10.1029/98WR02298
    • (1998) Water Resour. Res. , vol.34 , pp. 2485-2499
    • Bierkens, M.F.P.1
  • 13
    • 0033986571 scopus 로고    scopus 로고
    • Physical basis of time series models for water table depths
    • M. Knotters, M.F.P. Bierkens, Physical basis of time series models for water table depths, Water Resour. Res. 36 (2000) 181–188.10.1029/1999WR900288
    • (2000) Water Resour. Res. , vol.36 , pp. 181-188
    • Knotters, M.1    Bierkens, M.F.P.2
  • 14
    • 32044458602 scopus 로고    scopus 로고
    • Groundwater level forecasting in a shallow aquifer using artificial neural network approach
    • M.F.P. Bierkens, Groundwater level forecasting in a shallow aquifer using artificial neural network approach, Water Resour. Manag. 20 (2006) 77–90.
    • (2006) Water Resour. Manag. , vol.20 , pp. 77-90
    • Bierkens, M.F.P.1
  • 15
    • 26944443610 scopus 로고    scopus 로고
    • Seasonal forecasts of extreme groundwater levels
    • S.V. Yakimova, Seasonal forecasts of extreme groundwater levels, Water Resour. 32 (2005) 490–495.10.1007/s11268-005-0062-8
    • (2005) Water Resour. , vol.32 , pp. 490-495
    • Yakimova, S.V.1
  • 18
    • 0024656793 scopus 로고
    • Response surface methodology: 1966–1988
    • R.H. Myers, A.I. Khuri, W.H.J. Carter, Response surface methodology: 1966–1988, Technometrics 31 (1989) 137–157.
    • (1989) Technometrics , vol.31 , pp. 137-157
    • Myers, R.H.1    Khuri, A.I.2    Carter, W.H.J.3
  • 19
    • 0032794467 scopus 로고    scopus 로고
    • Response surface methodology: Current status and future directions
    • R.H. Myers, Response surface methodology: Current status and future directions, J. Qual. Technol. 31 (1999) 54–57.
    • (1999) J. Qual. Technol. , vol.31 , pp. 54-57
    • Myers, R.H.1
  • 20
    • 10844251018 scopus 로고    scopus 로고
    • Bias-specified robust design optimization and analytical solutions
    • S. Shin, B.R. Cho, Bias-specified robust design optimization and analytical solutions, Comput. Ind. Eng. 48 (2005) 129–148.
    • (2005) Comput. Ind. Eng. , vol.48 , pp. 129-148
    • Shin, S.1    Cho, B.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.