메뉴 건너뛰기




Volumn 343, Issue , 2011, Pages 265-276

Hydraulic head interpolation in an aquifer unit using ANFIS and ordinary kriging

Author keywords

[No Author keywords available]

Indexed keywords


EID: 79954473198     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-20206-3_18     Document Type: Article
Times cited : (11)

References (48)
  • 2
    • 39849098717 scopus 로고    scopus 로고
    • Cluster-based ordinary kriging of piezometric head in west texas/new mexico -testing of hypothesis
    • Abedini, M., Nasseri, M., Ansari, A.: Cluster-based ordinary kriging of piezometric head in west texas/new mexico -testing of hypothesis. J. of Hydrology 351(3-4), 360-367 (2008)
    • (2008) J. of Hydrology , vol.351 , Issue.3-4 , pp. 360-367
    • Abedini, M.1    Nasseri, M.2    Ansari, A.3
  • 3
    • 0742288479 scopus 로고    scopus 로고
    • A Simple Approach to Account for Radial Flow and Boundary Conditions when Kriging Hydraulic Head Fields for Confined Aquifers
    • DOI 10.1023/A:1023231404211
    • Brochu, Y., Marcotte, D.: A simple approach to account for radial flow and boundary conditions when kriging hydraulic head fields for confined aquifers. Mathematical Geology 35(2), 111-139 (2003) (Pubitemid 38149269)
    • (2003) Mathematical Geology , vol.35 , Issue.2 , pp. 111-139
    • Brochu, Y.1    Marcotte, D.2
  • 4
    • 58149235315 scopus 로고    scopus 로고
    • Mapping water table depth using geophysical and environmental variables
    • Buchanan, S., Triantafilis, J.: Mapping water table depth using geophysical and environmental variables. Ground Water 47(1), 80-96 (2009)
    • (2009) Ground Water , vol.47 , Issue.1 , pp. 80-96
    • Buchanan, S.1    Triantafilis, J.2
  • 5
    • 0037005714 scopus 로고    scopus 로고
    • On the kriging of water table elevations using collateral information from a digital elevation model
    • DOI 10.1016/S0022-1694(01)00504-2, PII S0022169401005042
    • Desbarats, A.J., Logan, C.E., Hinton, M.J., Sharpe, D.R.: On the kriging of water table elevations using collateral information from a digital elevation model. Journal of Hydrology 255(1-4), 25-38 (2002) (Pubitemid 34009827)
    • (2002) Journal of Hydrology , vol.255 , Issue.1-4 , pp. 25-38
    • Desbarats, A.J.1    Logan, C.E.2    Hinton, M.J.3    Sharpe, D.R.4
  • 6
    • 33846785226 scopus 로고    scopus 로고
    • Assessment of nitrate pollution in the Grand Morin aquifers (France): Combined use of geostatistics and physically based modeling
    • DOI 10.1016/j.envpol.2006.03.056, PII S0269749106003824
    • Flipo, N., Jeanńee, N., Poulin, M., Even, S., Ledoux, E.: Assessment of nitrate pollution in the Grand Morin aquifers (France): combined use of geostatistics and physically-based modeling. Environ. Pollut. 146(1), 241-256 (2007) (Pubitemid 46201666)
    • (2007) Environmental Pollution , vol.146 , Issue.1 , pp. 241-256
    • Flipo, N.1    Jeannee, N.2    Poulin, M.3    Even, S.4    Ledoux, E.5
  • 8
    • 33344464555 scopus 로고    scopus 로고
    • Geostatistical investigation into the temporal evolution of spatial structure in a shallow water table
    • Lyon, S., Seibert, J., Lembo, A., Walter, M., Steenhuis, T.: Geostatistical investigation into the temporal evolution of spatial structure in a shallow water table. Hydrol. Earth Syst. Sci. 10(1), 113-125 (2006) (Pubitemid 43286045)
    • (2006) Hydrology and Earth System Sciences , vol.10 , Issue.1 , pp. 113-125
    • Lyon, S.W.1    Seibert, J.2    Lembo, A.J.3    Walter, M.T.4    Steenhuis, T.S.5
  • 10
    • 58149094253 scopus 로고    scopus 로고
    • Estimating transmissivity fields and their influence on flow and transport: The case of champagne mounts
    • Renard, F., Jeannee, N.: Estimating transmissivity fields and their influence on flow and transport: The case of champagne mounts. Water Resources Research 44, 1-12 (2008)
    • (2008) Water Resources Research , vol.44 , pp. 1-12
    • Renard, F.1    Jeannee, N.2
  • 11
    • 67349233010 scopus 로고    scopus 로고
    • Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the minqin oasis of northwest china
    • Sun, Y., Kang, S., Li, F., Zhang, L.: Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the minqin oasis of northwest china. Environmental Modelling & Software 24(10), 1163-1170 (2009)
    • (2009) Environmental Modelling & Software , vol.24 , Issue.10 , pp. 1163-1170
    • Sun, Y.1    Kang, S.2    Li, F.3    Zhang, L.4
  • 12
    • 33646128962 scopus 로고    scopus 로고
    • Evaluation and optimisation of groundwater observation networks using the kriging methodology
    • Theodossiou, N., Latinopoulos, P.: Evaluation and optimisation of groundwater observation networks using the kriging methodology. Environmental Modelling & Software 21(7), 991-1000 (2006)
    • (2006) Environmental Modelling & Software , vol.21 , Issue.7 , pp. 991-1000
    • Theodossiou, N.1    Latinopoulos, P.2
  • 13
    • 34548118351 scopus 로고    scopus 로고
    • Aquifer parameter and zone structure estimation using kernel-based fuzzy c-means clustering and genetic algorithm
    • DOI 10.1016/j.jhydrol.2007.06.018, PII S0022169407003708
    • Ayvaz, M.T., Karahan, H., Aral, M.M.: Aquifer parameter and zone structure estimation using kernel-based fuzzy c-means clustering and genetic algorithm. J. of Hydrology 343, 240-253 (2007) (Pubitemid 47301928)
    • (2007) Journal of Hydrology , vol.343 , Issue.3-4 , pp. 240-253
    • Ayvaz, M.T.1    Karahan, H.2    Aral, M.M.3
  • 14
    • 17844370548 scopus 로고    scopus 로고
    • Intelligent control for modeling of real-time reservoir operation, part II: Artificial neural network with operating rule curves
    • DOI 10.1002/hyp.5582
    • Chang, Y., Chang, L.C., Chang, F.J.: Intelligent control for modeling of real-time reservoir operation, part II: artificial neural network with operating rule curves. Hydrological Processes 19, 1431-1444 (2005) (Pubitemid 40587230)
    • (2005) Hydrological Processes , vol.19 , Issue.7 , pp. 1431-1444
    • Chang, Y.-T.1    Chang, L.-C.2    Chang, F.-J.3
  • 15
    • 28444489651 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for prediction of water level in reservoir
    • Chang, F.J., Chang, Y.T.: Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Advances in Wat. Res. 29, 1-10 (2006)
    • (2006) Advances in Wat. Res. , vol.29 , pp. 1-10
    • Chang, F.J.1    Chang, Y.T.2
  • 16
    • 65949120718 scopus 로고    scopus 로고
    • Developing a hybrid multi-model for peak flood forecasting
    • Chidthong, Y., Tanaka, H., Supharatid, S.: Developing a hybrid multi-model for peak flood forecasting. Hydrological Processes 23, 1725-1738 (2009)
    • (2009) Hydrological Processes , vol.23 , pp. 1725-1738
    • Chidthong, Y.1    Tanaka, H.2    Supharatid, S.3
  • 17
    • 33947693294 scopus 로고    scopus 로고
    • A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam
    • DOI 10.1007/s11269-006-9027-1
    • El-Shafie, A., Taha, M.R., Noureldin, A.: A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam. Water Resour. Manage. 21, 533-556 (2007) (Pubitemid 46486947)
    • (2007) Water Resources Management , vol.21 , Issue.3 , pp. 533-556
    • El-Shafie, A.1    Taha, M.R.2    Noureldin, A.3
  • 18
    • 34249943593 scopus 로고    scopus 로고
    • River flow estimation using adaptive neuro fuzzy inference system
    • DOI 10.1016/j.matcom.2006.09.003, PII S0378475406002394
    • Firat, M., Gungor, M.: River row estimation using adaptive neuro fuzzy inference system. Mathematics and Computers in Simulation 75, 87-96 (2007) (Pubitemid 46880072)
    • (2007) Mathematics and Computers in Simulation , vol.75 , Issue.3-4 , pp. 87-96
    • Firat, M.1    Gungor, M.2
  • 19
    • 46449123911 scopus 로고    scopus 로고
    • Hydrological time-series modelling using an adaptive neuro-fuzzy inference system
    • DOI 10.1002/hyp.6812
    • Firat, M., Gungor, M.: Hydrological time-series modelling using an adaptive neuro-fuzzy inference system. Hydrological Processes 22, 2122-2132 (2008) (Pubitemid 351927456)
    • (2008) Hydrological Processes , vol.22 , Issue.13 , pp. 2122-2132
    • Firat, M.1    Gungor, M.2
  • 20
    • 38849167375 scopus 로고    scopus 로고
    • Comparison of artificial intelligence techniques for river flow forecasting
    • Firat, M.: Comparison of artificial intelligence techniques for river flow forecasting. Hydrol. Earth Syst. Sci. 12, 123-138 (2008)
    • (2008) Hydrol. Earth Syst. Sci. , vol.12 , pp. 123-138
    • Firat, M.1
  • 21
    • 57349188393 scopus 로고    scopus 로고
    • Hydrological modeling using a dynamic neuro-fuzzy system with on-line and local learning algorithm
    • Hong, Y.S.T.,White, P.A.: Hydrological modeling using a dynamic neuro-fuzzy system with on-line and local learning algorithm. Advances in Wat. Res. 32, 110-119 (2009)
    • (2009) Advances in Wat. Res. , vol.32 , pp. 110-119
    • Hong, Y.S.T.1    White, P.A.2
  • 22
    • 1942490118 scopus 로고    scopus 로고
    • A neuro-fuzzy computing technique for modeling hydrological time series
    • DOI 10.1016/j.jhydrol.2003.12.010, PII S0022169403005134
    • Nayak, P., Sudheer, K., Ragan, D., Ramasastri, K.: A neuro-fuzzy computing technique for modeling hydrological time series. J. of Hydrology 291, 52-66 (2004) (Pubitemid 38492436)
    • (2004) Journal of Hydrology , vol.291 , Issue.1-2 , pp. 52-66
    • Nayak, P.C.1    Sudheer, K.P.2    Rangan, D.M.3    Ramasastri, K.S.4
  • 23
    • 68349105875 scopus 로고    scopus 로고
    • A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
    • Wang, W.C., Chau, K.W., Cheng, C.T., Qiu, L.: A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. J. of Hydrology 374, 294-306 (2009)
    • (2009) J. of Hydrology , vol.374 , pp. 294-306
    • Wang, W.C.1    Chau, K.W.2    Cheng, C.T.3    Qiu, L.4
  • 24
    • 73649113119 scopus 로고    scopus 로고
    • Modeling daily discharge responses of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy
    • Kurtulus, B., Razack, M.: Modeling daily discharge responses of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy. J. of Hydrology 381, 101-111 (2010)
    • (2010) J. of Hydrology , vol.381 , pp. 101-111
    • Kurtulus, B.1    Razack, M.2
  • 25
    • 60849119255 scopus 로고    scopus 로고
    • Application of optimal control and fuzzy theory for dynamic groundwater remediation design
    • Chu, H.J., Chang, L.C.: Application of optimal control and fuzzy theory for dynamic groundwater remediation design. Water Resour. Manage. 23, 647-660 (2009)
    • (2009) Water Resour. Manage. , vol.23 , pp. 647-660
    • Chu, H.J.1    Chang, L.C.2
  • 26
    • 68349089334 scopus 로고    scopus 로고
    • Comparative analysis of fuzzy inference systems for water consumption time series prediction
    • Firat, M., Turan, M.E., Yurdusev, M.A.: Comparative analysis of fuzzy inference systems for water consumption time series prediction. J. of Hydrology 374, 235-241 (2009)
    • (2009) J. of Hydrology , vol.374 , pp. 235-241
    • Firat, M.1    Turan, M.E.2    Yurdusev, M.A.3
  • 27
    • 58849164849 scopus 로고    scopus 로고
    • Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to izmir, turkey
    • Yurdusev, M.A., Firat, M.: Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to izmir, turkey. J. of Hydrology 365, 225-234 (2009)
    • (2009) J. of Hydrology , vol.365 , pp. 225-234
    • Yurdusev, M.A.1    Firat, M.2
  • 28
    • 34247223461 scopus 로고    scopus 로고
    • Automatic fuzzy-rule assessment and its application to the modelling of nitrogen leaching for large regions
    • DOI 10.1007/s00500-002-0226-2
    • B́ardossy, A., Haberlandt, U., Krysanova, V.: Automatic fuzzy-rule assessment and its application to the modelling of nitrogen leaching for large regions. Soft Computing 7, 370-385 (2003) (Pubitemid 36639289)
    • (2003) Soft Computing , vol.7 , Issue.6 , pp. 370-385
    • Bardossy, A.1    Haberlandt, U.2    Krysanova, V.3
  • 29
    • 23044512802 scopus 로고    scopus 로고
    • A neuro fuzzy modeling tool to estimate fluvial nutrient loads in watersheds under time-varying human impact
    • Marće, R., Comerma, M., Garća, J., Armengo, J.: A neuro-fuzzy modeling tool to estimate fluvial nutrient loads in watersheds under time-varying human impact. Limnol. Oceanogr.: Methods 2, 342-355 (2004) (Pubitemid 43723692)
    • (2004) Limnology and Oceanography: Methods , vol.2 , Issue.NOV. , pp. 342-355
    • Marce, R.1    Comerma, M.2    Garcia, J.C.3    Armengol, J.4
  • 30
    • 0029750928 scopus 로고    scopus 로고
    • The use of fuzzy rules for the description of elements of the hydrological cycle
    • B́ardossy, A.: The use of fuzzy rules for the description of elements of the hydrological cycle. Ecol. Model. 85, 59-65 (1996)
    • (1996) Ecol. Model. , vol.85 , pp. 59-65
    • B́ardossy, A.1
  • 31
    • 78049264460 scopus 로고    scopus 로고
    • Comparison of groundwater level estimation using neuro-fuzzy and ordinary kriging
    • Kholghi,M., Hosseini, S.M.: Comparison of groundwater level estimation using neuro-fuzzy and ordinary kriging. Environ. Model Assess. 14(6), 729-737 (2009)
    • (2009) Environ. Model Assess. , vol.14 , Issue.6 , pp. 729-737
    • Kholghi, M.1    Hosseini, S.M.2
  • 32
    • 1842433866 scopus 로고    scopus 로고
    • A spatial interpolation method based on radial basis function networks incorporating a semivariogram model
    • Lin, G.F., Chen, L.H.: A spatial interpolation method based on radial basis function networks incorporating a semivariogram model. Journal of Hydrology 288(3-4), 288-298 (2004)
    • (2004) Journal of Hydrology , vol.288 , Issue.3-4 , pp. 288-298
    • Lin, G.F.1    Chen, L.H.2
  • 33
    • 60949114528 scopus 로고    scopus 로고
    • A neural network experiment on the simulation of daily nitrate-nitrogen and suspended sediment fluxes from a small agricultural catchment
    • Anctil, F., Filion,M., Tournebize, J.: A neural network experiment on the simulation of daily nitrate-nitrogen and suspended sediment fluxes from a small agricultural catchment. Ecol. Model. 220, 879-887 (2009)
    • (2009) Ecol. Model. , vol.220 , pp. 879-887
    • Anctil, F.1    Filion, M.2    Tournebize, J.3
  • 34
    • 33947143378 scopus 로고    scopus 로고
    • Modeling nitrate fluxes at the catchment scale using the integrated tool CAWAQS
    • DOI 10.1016/j.scitotenv.2006.12.016, PII S0048969706009429
    • Flipo, N., Even, S., Poulin, M., Th́ery, S., Ledoux, E.: Modelling nitrate fluxes at the catchment scale using the integrated tool CAWAQS. Sci. Total Environ. 375, 69-79 (2007) (Pubitemid 46437237)
    • (2007) Science of the Total Environment , vol.375 , Issue.1-3 , pp. 69-79
    • Flipo, N.1    Even, S.2    Poulin, M.3    Thery, S.4    Ledoux, E.5
  • 38
    • 0038084694 scopus 로고    scopus 로고
    • Geovariances 5 edn., Geovariances and Ecole Nationale Suṕerieure des Mines De Paris
    • Geovariances: Isatis Software Manual, 5 edn., Geovariances and Ecole Nationale Suṕerieure des Mines De Paris, p. 710 (2004)
    • (2004) Isatis Software Manual , pp. 710
  • 40
    • 0027601884 scopus 로고
    • ANFIS adaptive-network-based fuzzy inference systems
    • Jang, J.: ANFIS adaptive-network-based fuzzy inference systems. IEEE Trans. Systems, Man Cybern. 23(3), 665-685 (1993)
    • (1993) IEEE Trans. Systems Man Cybern. , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.1
  • 41
    • 0029273384 scopus 로고
    • Neuro-fuzzy modeling and control
    • Jang, J.: Neuro-fuzzy modeling and control. Proceedings of the IEEE 833, 378-406 (1995)
    • (1995) Proceedings of the IEEE , vol.833 , pp. 378-406
    • Jang, J.1
  • 43
    • 51949092391 scopus 로고    scopus 로고
    • Alpha Science International Ltd
    • Pratihar, D.: Soft Computing. Alpha Science International Ltd (2008)
    • (2008) Soft Computing
    • Pratihar, D.1
  • 44
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Systems Man and Cybernetics 15(1), 116-132 (1985)
    • (1985) IEEE Trans. Systems Man and Cybernetics , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 47
    • 32044449423 scopus 로고    scopus 로고
    • Regionalisation of the parameters of a hydrological model: Comparison of linear regression models with artificial neural nets
    • DOI 10.1016/j.jhydrol.2005.07.030, PII S0022169405003641
    • Heuvelmans, G., Muys, B., Feyen, J.: Regionalisation of the parameters of a hydrological model: Comparison of linear regression models with artificial neural nets. Journal of Hydrology 319(1-4), 245-265 (2006) (Pubitemid 43199901)
    • (2006) Journal of Hydrology , vol.319 , Issue.1-4 , pp. 245-265
    • Heuvelmans, G.1    Muys, B.2    Feyen, J.3
  • 48
    • 53749090456 scopus 로고    scopus 로고
    • Hydraulic head field estimation using kriging with an external drift: A way to consider conceptual model information
    • Rivest, M., Marcotte, D., Pasquier, P.: Hydraulic head field estimation using kriging with an external drift: A way to consider conceptual model information. Journal of Hydrology 361(3-4), 349-361 (2008)
    • (2008) Journal of Hydrology , vol.361 , Issue.3-4 , pp. 349-361
    • Rivest, M.1    Marcotte, D.2    Pasquier, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.