Application of models with different types of modelling methodologies for river flow forecasting

IAHS-AISH Publication

Volumn , Issue 282, 2003, Pages 218-226

  Hapuarachchi, H A Prasantha ^a   Zhijia, Li ^a   Flügel, Albert Wolfgang ^b  

^a HOHAI UNIVERSITY   (China)

^b INTERNATIONAL WATER MANAGEMENT INSTITUTE   (Sri Lanka)

Author keywords

Artificial neural networks; Conceptual watershed models; Distributed watershed models; Multi layer perception network; Radial basis function; Xinanjiang model

Indexed keywords

CALIBRATION; CATCHMENTS; DATA REDUCTION; NEURAL NETWORKS; RIVERS;

RIVER FLOW FORECASTING;

WATERSHEDS;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; HYDROLOGICAL MODELING; RIVER FLOW; WATERSHED;

SRI LANKA;

EID: 0042769358     PISSN: 01447815     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Arnold, J. G., Srinivasan, R., Muttiah, R. S. & Williams, J. R. (1998) Large area hydrologic modelling and assessment part I: model development. J. Am. Water Res. Assoc. 34(1), 73-89.
2. Dibike, Y. B., Solomatine, D. P. & Abbott, M. B. (1999) On the encapsulation of numerical-hydraulic models in artificial neural network. J. Hydraul. Res. 37(2), 147-161
3. Duan, Q. Y., Gupta, V. K. & Sorooshian, S. (1993) Shuffle complex evolution approach for effective and efficient global minimization. J Opti Theory Appl 76(3), 501 521.
4. Duan, Q., Sorooshian, S. & Gupta, V. K. (1992) Effective and efficient global optimization for conceptual rainfall runoff models. Water Resour Res. 28(4), 1015 1031.
5. Duan, Q., Sorooshian, S. & Gupta, V. K. (1994) Optimal use of SCE-UA global optimization method for calibrating watershed models. J Hydro 158, 265 284.
6. Gan, T. Y. & Biftu, G. F. (1996) Automatic calibration of conceptual rainfall-runoff models: optimization algorithms, catchment conditions and model structure. Water Resour Res 32, 3513-3524.
7. Hapuarachchi, H. A. P., Li, Z. J. Ranjit, M. & Wang, Q. J. (2001) Application of global optimization technique for calibrating the Xinanjiang watershed model. Lowland Tech Int. 3, 43 57.
8. Karunanayake, M. M. & Katupotha, J. (1990) An environmental profile of the Ratnapura district. Tech. report, Central Environmental Authority & NORAD, Sri Lanka.
9. Mason, J. C., Price, R. K. & Tem'me, A. (1996) A neural network model of rainfall runoff using radial basis functions. J. Hydraul. Res. 34, 537 548
10. Neitsch, S. L. Arnold, J. G., Kiniry, J. R., Srinivasan, R. & Williams, J. R. (2000) SWAT User Manual 2000. Grassland, Soil and Water Research Laboratory, Agricultural Research Service, USA.
11. Zhao, R. J., Zhuang, Y. L., Fang, L. R., Liu, X. R. & Zhang, Q. S. (1980) The Xinanjiang model. In: Hydrological Forecasting. (Proc. Oxford Symp., April. 1980), 351 356. IAHS Publ. no. 129.
12. Zhao, R. J. & Liu, X. R. (1995) Computer Models of Watershed Hydrology: The Xinanjiang Model (ed. by V. P. Singh), 215 232. Water Resources Publications, Highlands Ranch, Colorado, USA.