메뉴 건너뛰기




Volumn 34, Issue 1, 2010, Pages 81-92

Multi model data fusion for hydrological forecasting using K-nearest neighbour method

Author keywords

Data fusion, nearest neighbour method, streamflow forecasting, zayande rud river; Red river

Indexed keywords

NEAREST NEIGHBOUR; RED RIVER; STREAMFLOW FORECASTING;

EID: 77950181624     PISSN: 10286284     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (32)

References (16)
  • 2
    • 0030830419 scopus 로고    scopus 로고
    • Sensor fusion potential exploitation-innovative architechtures and illustrative applications
    • Dasarathy, B. V. (1997). Sensor fusion potential exploitation-Innovative architechtures and illustrative applications. Proceedings of the IEEE, Vol. 85, pp. 24-38.
    • (1997) Proceedings of the IEEE , vol.85 , pp. 24-38
    • Dasarathy, B.V.1
  • 3
    • 0035480406 scopus 로고    scopus 로고
    • Multi-model data fusion for Hydrological forecasting
    • See, L. & Abrahart, R. J. (2001). Multi-model data fusion for hydrological forecasting, Comput. Geosci., 27, pp. 987-994.
    • (2001) Comput. Geosci. , vol.27 , pp. 987-994
    • See, L.1    Abrahart, R.J.2
  • 4
    • 0036698601 scopus 로고    scopus 로고
    • Multi-model data fusion for river flow forecasting: An valuation of six alternative methods based on two contrasting catchments
    • Abrahart R. & L. See. (2002). Multi-model data fusion for river flow forecasting: an valuation of six alternative methods based on two contrasting catchments, Hydrology and Earth System Sciences, Vol. 6, No. 4, pp. 655-670.
    • (2002) Hydrology and Earth System Sciences , vol.6 , Issue.4 , pp. 655-670
    • Abrahart, R.1    See, L.2
  • 5
    • 6344243351 scopus 로고    scopus 로고
    • Artificial neural network ensembles and their application in pooled flood frequency analysis
    • Shu, C. & Burn, D. H. (2004). Artificial neural network ensembles and their application in pooled flood frequency analysis. Water Resour. Res., Vol. 40 W09301.
    • (2004) Water Resour. Res. , vol.40
    • Shu, C.1    Burn, D.H.2
  • 7
    • 0023524387 scopus 로고
    • Nearest-neighbor methods for nonparametric rainfall-runoff forecasting
    • Karlsson, M. & Yakowitz, S. (1987). Nearest-neighbor methods for nonparametric rainfall-runoff forecasting, Water Resour. Res., Vol. 23, No. 7, pp. 1300-1308.
    • (1987) Water Resour. Res. , vol.23 , Issue.7 , pp. 1300-1308
    • Karlsson, M.1    Yakowitz, S.2
  • 8
    • 17144438118 scopus 로고    scopus 로고
    • A technique for generating regional climate scenarios using a nearest neighbor algorithm
    • &, doi:10.1029/2002WR001769
    • Yates, D., Gangopadhyay, S., Rajagopalan, B. & Strzepek, K. (2003), A technique for generating regional climate scenarios using a nearest neighbor algorithm, Water Resour. Res., Vol. 39, No. 7, 1199, doi:10.1029/2002WR001769.
    • (2003) Water Resour. Res. , vol.39 , Issue.7 , pp. 1199
    • Yates, D.1    Gangopadhyay, S.2    Rajagopalan, B.3    Strzepek, K.4
  • 9
    • 0029663871 scopus 로고    scopus 로고
    • A nearest neighbor bootstrap for resampling Hydrologic time series
    • Lall, U. & Sharma, A. (1996). A nearest neighbor bootstrap for resampling hydrologic time series, Water Resour. Res., Vol. 32, No. 3, pp. 679-694.
    • (1996) Water Resour. Res. , vol.32 , Issue.3 , pp. 679-694
    • Lall, U.1    Sharma, A.2
  • 10
    • 0035876630 scopus 로고    scopus 로고
    • Improving extreme Hydrologic events forecasting using a new criterion for artificial neural network selection
    • Coulibaly, P., Bob'ee, B. & Antcil, F. (2001). Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selection. Hydrol. Process. Vol. 15, pp. 1533-1536.
    • (2001) Hydrol. Process , vol.15 , pp. 1533-1536
    • Coulibaly, P.1    Bob'ee, B.2    Antcil, F.3
  • 13
    • 33646533579 scopus 로고    scopus 로고
    • Long-lead streamflow forecasting using oceanatmospheric and Hydrological predictors
    • &, doi:10.1029/2004WR003853
    • Araghinejad. S., Burn, D. H. & Karamouz, M. (2006). Long-lead Streamflow Forecasting using Oceanatmospheric and Hydrological Predictors. Water Resour. Res., Vol. 42, doi:10.1029/2004WR003853.
    • (2006) Water Resour. Res. , vol.42
    • Araghinejad, S.1    Burn, D.H.2    Karamouz, M.3
  • 14
    • 0031433962 scopus 로고    scopus 로고
    • Extension to the north atlantic oscillation using early instrumental pressure observation from gibraltar and south-west iceland
    • Jones, P. D., Jonsson, T. & Wheeler, D. (1997). Extension to the North Atlantic Oscillation using early instrumental pressure observation from Gibraltar and south-west Iceland. Int. J. Climatol., Vol. 17, pp. 1433-1450.
    • (1997) Int. J. Climatol. , vol.17 , pp. 1433-1450
    • Jones, P.D.1    Jonsson, T.2    Wheeler, D.3
  • 15
    • 0032695051 scopus 로고    scopus 로고
    • Perceptions of flood risk: A case study of the red river flood of 1997
    • Burn, D. H. (1999) Perceptions of flood risk: a case study of the Red River flood of 1997. Water Resour. Res., Vol. 35, No. 11, pp. 3451-3458.
    • (1999) Water Resour. Res. , vol.35 , Issue.11 , pp. 3451-3458
    • Burn, D.H.1
  • 16
    • 0005317866 scopus 로고    scopus 로고
    • Red river at winnipeg hydrometeorological parameter generated floods for design purposes
    • In:, V-l-V-32, Canadian, Water Resources Association, Cambridge, Ontario, Canada
    • Warkentin, A. A. (1999). Red River at Winnipeg hydrometeorological parameter generated floods for design purposes. In: Red River Flooding Decreasing our Risks (Proc. Conf., Winnipeg, Manitoba, Canada), V-l-V-32, Canadian, Water Resources Association, Cambridge, Ontario, Canada.
    • (1999) Red River Flooding Decreasing Our Risks (Proc. Conf., Winnipeg, Manitoba, Canada)
    • Warkentin, A.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.