Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique. (English) Zbl 1423.76335
Summary: Side weirs are widely used for flow diversion in irrigation, land drainage, urban sewage systems and also in intake structures. It is essential to correctly predict the discharge coefficient for hydraulic engineers involved in the technical and economical design of side weirs. In this study, the discharge capacity of triangular labyrinth side weirs is estimated by using adaptive neuro-fuzzy inference system (ANFIS). Two thousand five hundred laboratory test results are used for determining discharge coefficient of triangular labyrinth side weirs. The performance of the ANFIS model is compared with multi nonlinear regression models. Root mean square errors (RMSE), mean absolute errors (MAE) and correlation coefficient (R) statistics are used as comparing criteria for the evaluation of the models’ performances. Based on the comparisons, it was found that the ANFIS technique could be employed successfully in modeling discharge coefficient from the available experimental data. There are good agreements between the measured values and the values obtained using the ANFIS model. It is found that the ANFIS model with RMSE of 0.0699 in validation stage is superior in estimation of discharge coefficient than the multiple nonlinear and linear regression models with RMSE of 0.1019 and 0.1507, respectively.
MSC:
| 76M25 | Other numerical methods (fluid mechanics) (MSC2010) |
| 62P30 | Applications of statistics in engineering and industry; control charts |
Software:
ANFISReferences:
| [1] | Ackers, P.: A theoretical consideration of side weirs as storm water overflows, Proc ice, London 6, 250-269 (1957) |
| [2] | Agaccioglu, H.; Yüksel, Y.: Side weir flow in curved channels, J irrigat drain eng 124, No. 3, 163-175 (1998) |
| [3] | Aghayari, F.; Honar, T.; Keshavarzi, A.: A study of spatial variation of discharge coefficient in broad-crested inclined side weirs, Irrigat drain 58, 246-254 (2009) |
| [4] | Bae, D. -H.; Jeong, D. M.; Kim, G.: Monthly dam inflow forecasts using weather forecasting information and neuro-fuzzy technique, Hydrol sci J 52, No. 1, 99-113 (2007) |
| [5] | Borghei, M.; Jalili, M. R.; Ghodsian, M.: Discaharge coefficient for sharp-crested side weir in subcritical flow, J hydraul eng 125, No. 10, 1051-1056 (1999) |
| [6] | Chang, F. J.; Chang, Y. T.: Adaptive neuro-fuzzy inference system for prediction of water level in reservoir, Adv water res 29, 1-10 (2006) |
| [7] | Collings VK. Discharge capacity of side weirs. In: Proceedings of the Institute Civil Engineerings, vol. 6, London, England: 1957, p. 288 – 304. |
| [8] | Cosar, A.; Agaccioglu, H.: Discharge coefficient of a triangular side weir located on a curved channel, J irrigat drain eng 130, No. 5, 321-333 (2004) |
| [9] | De Marchi, G.: Saggio di teoria de funzionamente degli stramazzi letarali, Energ elettr, 849-860 (1934) |
| [10] | Drake JT. Communications phase synchronization using the adaptive network fuzzy inference system. PhD Thesis, Las Cruces, New Mexico, USA: New Mexico State University; 2000. |
| [11] | El-Khashab, A. M. M.; Smith, Kvh.: Experimental investigation of flow over side weirs, J hydraul div, proc 102, No. Hy9, 1255-1268 (1976) |
| [12] | Emiroglu ME, Kaya N, Agaccioglu H. Discharge capacity of labyrinth side-weir located on a straight channel. J Irrigat Drain Eng ASCE 2010, in press. |
| [13] | Frazer W. The behavior of side weirs in prismatic rectangular channels. In: Proceeding Institute of Civil Engineerings, vol. 6, London, England: 1957, p. 305 – 27. |
| [14] | Rao, K. H. V. Durga; Pillai, C. R. S.: Study of flow over side weir under supercritical conditions, Water resour manage 11, 131-143 (2008) |
| [15] | Helweg, O. J.: Microcomputer applications in water resources, (1991) |
| [16] | Jang, J. -S.R.: ANFIS: adaptive-network-based fuzzy inference system, IEEE trans syst manage cybern 23, No. 3, 665-685 (1993) |
| [17] | Jang, J. -S.R.; Sun, C. -T.; Mizutani, E.: Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence, (1997) |
| [18] | Karunanithi, N.; Grenney, W. J.; Whitley, D.; Bovee, K.: Neural networks for river flow prediction, J comput civ eng ASCE 8, No. 2, 201-220 (1994) |
| [19] | Kisi, O.: Suspended sediment estimation using neuro-fuzzy and neural network approaches, Hydrol sci J 50, No. 4, 683-696 (2005) |
| [20] | Kisi, O.: Daily pan evaporation modelling using a neuro-fuzzy computing technique, J hydrol 329, 636-646 (2006) |
| [21] | Kisi, O.; Ozturk, O.: Adaptive neuro-fuzzy computing technique for evapotranspiration estimation, ASCE J irrigat drain eng 133, No. 4, 368-379 (2007) |
| [22] | Kisi, O.; Yuksel, I.; Dogan, E.: Modelling daily suspended sediment of rivers in Turkey using several data driven techniques, Hydrol sci J 53, No. 6, 1270-1285 (2008) |
| [23] | Kocabas, U.; Ulker, S.: Estimation of critical submergence for an intake in a stratified fluid media by neuro-fuzzy approach, Environ fluid mech 6, 489-500 (2006) |
| [24] | Kumar, C. P.; Pathak, S. K.: Triangular side weirs, J irrigat drain eng 113, No. 1, 98-105 (1987) |
| [25] | Lawrence, S.; Back, A. D.; Tsoi, A. C.; Giles, C. L.: On the distribution of performance from multiple neural network trials, IEEE trans neural network 8, No. 6, 1507-1517 (1997) |
| [26] | Nayak, P. C.; Sudheer, K. P.; Rangan, D. M.; Ramasastri, K. S.: A neuro-fuzzy computing technique for modeling hydrological time series, J hydrol 291, No. 1 – 2, 52-66 (2004) |
| [27] | Nayak, P. C.; Sudheer, K. P.; Rangan, D. M.; Ramasastri, K. S.: Short-term flood forecasting with a neurofuzzy model, Water resour res 41, No. 4 (2005) |
| [28] | Riahi-Madvar, H.; Ayyoubzadeh, S. A.; Khadangi, E.; Ebadzadeh, M. H.: An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS, Expert syst appl 36, 8589-8596 (2009) |
| [29] | Subramanya, K.; Awasthy, S. C.: Spatially varied flow over side weirs, J hydraul div proc, ASCE 98, No. HY1, 1-10 (1972) |
| [30] | Uyumaz, A.; Muslu, Y.: Flow over side weir in circular channels, J hydraul eng 111, No. 1, 144-160 (1985) |
| [31] | Uyumaz, A.; Smith, R. H.: Design procedure for flow over side weirs, J irrigat drain eng proc ASCE 119, No. 7, 79-90 (1991) |
| [32] | Yang, H. -C.; Chang, F. -J.: Modelling combined open channel flow by artificial neural networks, Hydrol process 19, 3747-3762 (2005) |
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