___

• Agarwal, A., Mishra, S.K., Ram, S., ve Singh,
• J.K. “Simulation of runoff and sediment yield
• using artificial neural networks” Biosystems
• Engi., 94 (4), 597–613, 2006.
• Altunkaynak, A., Özger, M., ve Çakmakcı, M.
• “Water Consumption Prediction of Istanbul City
• by Using Fuzzy Logic Approach”, Water
• Resources Manage., 19, 641–654, 2005
• ASCE Task Committee. “Artificial neural
• networks in hydrology-II: Hydrologic
• applications”, Journal of Hydrologic
• Engineering, ASCE 5 (2), 124–137, 2000.
• Babel, M.S., Gupta, A.D., ve Pradhan, P. “A
• multivariate econometric approach for domestic
• water demand modeling: An application to
• Kathmandu, Nepal”, Water Resour Manage.,
• , 573–589, 2007.
• Bougadis, J., Adamowski, K., ve Diduch, R.
• “Short-term municipal water demand
• forecasting”, Hydrol. Processes, 19, 137–148,
• -
• Chen, S.H., Lin, Y.H., ve Chang, L.C. „Chang
• F.J. The strategy of building a flood forecast
• model by neuro fuzzy network”, Hydrol.
• Processes., 20, 1525–1540, 2005.
• Chang F.J. Chang Y.T. 2006. Adaptive neurofuzzy
• inference system for prediction of water
• level in reservoir. Advances in Water Resources.
• : 1-10
• Firat M, ve Güngör M. “River Flow Estimation
• using Adaptive Neuro-Fuzzy inference System”,
• Mathematics and Computers in Simulation,
• (3-4), 87-96, 2007.
• Firat, M. “Sinirsel Bulanık Mantık Yaklaşımı
• ile Havza Modellemesi”, Doktora Tezi,
• Pamukkale Üniversitesi, Fen Bilimleri Enst.
• Denizli, 2007.
• Froukh, M.L. “Decision-Support System for
• Domestic Water Demand Forecasting and
• Management”, Water Resources Management,
• , 363–382, 2001.
• Jain, A., Varshney, A.K., ve Joshi, U.C. “Shortterm
• water demand forecast modeling at IIT
• Kanpur using artificial neural networks”, Water
• Resources Manage., 15, 299–321, 2001.
• Jain, A., ve Kumar, A.M. “Hybrid neural
• network models for hydrologic time series
• forecasting”, Applied Soft Computing, 7, 585-
• , 2007.
• Jang, J.S.R., Sun, C.T., ve Mizutani, E. Neuro-
• Fuzzy and Soft Computing, PrenticeHall,
• ISBN 0-13-261066-3, 607p, 1997.
• Jeong, D., ve Kim, Y.O. “Rainfall-runoff models
• using artificial neural networks for ensemble
• stream flow prediction”, Hydrolo. Processes,
• , 3819–3835, 2005.
• Komornik, J., Komornikova, M., Mesiar, R.,
• Szökeova, D., ve Szolgay, J. “Comparison of
• forecasting performance of nonlinear models of
• hydrological time series”, Physics and
• Chemistry of the Earth, 31, 1127–1145, 2006.
• Kumar, A.R.S., Sudheer, K.P., Jain, S.K., ve
• Agarwal, P.K. “Rainfall-runoff modelling using
• artificial neural networks:comparison of network
• types”, Hydro.Processes, 19, 1277–1291, 2005.
• Lahlou M, ve Colyer, D. “Water conservation in
• Casablanca, Morocco”, J Am Water Resour
• Assoc., 36(5), 1003–1012, 2000.
• Liu, J., Savenije, H.H.G., ve Xu, J. “Forecast of
• water demand in Weinan City in China using
• WDF-ANN model”, Physics and Chemistry of
• the Earth, 28, 219–224, 2003.
• Liong, S.Y., Lim, W. H., Kojiri, T., ve Hori T.
• “Advance Flood forecasting for Flood stricken
• Bangladesh with a fuzzy reasoning method”,
• Hydrological Processes, 14, 431- 448, 2000.
• Mahabir, C., Hicks, F.E., ve Fayek, A.R.,
• “Application of fuzzy logic to the seasonal
• runoff”, Hydrological Processes, 17, 3749–
• , 2003.
• Nagy, H.M., Watanabe, K., ve Hirano, M.
• “Prediction of Sediment Load concentration in
• Rivers using Artificial Neural Network Model”,
• Journal of Hydr. Eng., 128, 588-595,2002.
• Nayak, P.C., Sudheer, K.P., ve Ramasastri, K.S.
• “Fuzzy computing based rainfall-runoff model
• for real time flood forecasting”, Hydrological
• Processes, 17, 3749–3762, 2004a.
• Nayak, P.C., Sudheer, K.P., Rangan, D.M., ve
• Ramasastri, K.S. “A Neuro Fuzzy computing
• technique for modeling hydrological time
• series”, Journal of Hydr., 29, 52–66, 2004b.
• Rajurkar, M.P, Kothyari, U.C., ve Chaube, U.C.
• “Modeling of the daily rainfall-runoff
• relationship with artificial neural network”,
• Journal of Hydrology, 285, 96–113, 2004.
• Şen, Z. Mühendislikte Bulanık (Fuzzy)
• Mantık ile Modelleme Prensipleri, ISBN:
• , 193 p, Su Vakfı Yayınları, 2004.
• Şen, Z., ve Altunkaynak, A. “A comparative
• fuzzy logic approach to runoff coefficient and
• runoff estimation”, Hydrolo. Processes, 20,
• –2009, 2006.
• Wong, L.T., ve Mui, K.W. “Modeling water
• consumption and flow rates for flushing water
• systems in high-rise residential buildings in
• Hong Kong”, Building and Environment, 42,
• –2034, 2007.
• Zhou, S.L., McMahon, T.A., Walton, A., ve
• Lewis, J. Forecasting daily urban water demand:
• a case study of Melbourne”, Journal of Hydro.
• (3), 153–164, 2000.