TY - JOUR TT - Medium-Range Low Flow Forecasts in The Lobith, River Rhine AU - Bouwma, Pieter AU - Demirel, Mehmet Cüneyd PY - 2017 DA - August Y2 - 2017 DO - 10.17482/uumfd.338785 JF - Uludağ Üniversitesi Mühendislik Fakültesi Dergisi JO - UUJFE PB - Bursa Uludağ Üniversitesi WT - DergiPark SN - 2148-4155 SP - 139 EP - 148 VL - 22 IS - 2 KW - Düşük debi KW - River Rhine KW - yapay sinir ağları KW - tahmin modeli N2 - The aim of this studyis to predict low flows 14 days in advance using a data-driven model. First, weapply correlation analysis to select appropriate temporal scales ofpre-selected inputs that are precipitation, potential evapotranspiration,discharge, groundwater, snow height and lake levels. The forecasted rainfall hasalso been used as model input to forecast low flows in the River Rhine atLobith. The correlation analysis analysis between low flows and basinindicators show stronger correlations for the Alpine sub-basins than therainfed sub-basins. The Middle and Lower Rhine are downstream channel areas andthey do not contribute to the discharge. Therefore, they are excluded from theentire analysis. The low flow predictions for the Alpine sub-basins and theMosel are reasonable during the validation period, whereas the ANN for Lobithshows low performance for a different test period. The results for the trainingand the validation period are more encouraging than the test period for Lobith,i.e. Nash-Sutcliffe (NS) efficiency of 0.75 and 0.73 respectively. CR - Benítez, J.M., Castro, J.L., Requena, I., 1997. Are artificial neural networks black boxes? IEEE Trans. Neural Networks 8, 1156–1164. doi:10.1109/72.623216 CR - Bouwma, P., 2011. Low flow forecasts for the Rhine at Lobith 14 days ahead A correlation analysis and an artificial neural network study. University of Twente, Enschede (MSc thesis: http://essay.utwente.nl/61075/). CR - Danandeh Mehr, A., Demirel, M.C., 2016. On the Calibration of Multigene Genetic Programming to Simulate Low Flows in the Moselle River. Uludag University Journal of The Faculty of Engineering 21, 365–365. doi:10.17482/uumfd.278107 CR - Danandeh Mehr, A., Kahya, E., 2017. A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction. J. Hydrol. 549, 603–615. doi:10.1016/j.jhydrol.2017.04.045 CR - Dawson, C.W., Wilby, R.L., 2001. Hydrological modelling using artificial neural networks. Prog. Phys. Geogr. 25, 80–108. doi:10.1177/030913330102500104 CR - De Bruijn, K.M., Passchier, R., De Bruin, K., Passchier, R., 2006. Predicting low-flows in the Rhine River. WL | Delft Hydraulics, Delft, The Netherlands. CR - Demirel, M.C., Booij, M.J., Hoekstra, A.Y., 2013. Identification of appropriate lags and temporal resolutions for low flow indicators in the River Rhine to forecast low flows with different lead times. Hydrol. Process. 27, 2742–2758. doi:10.1002/hyp.9402 CR - Evans, J., Schreider, S., 2002. Hydrological impacts of climate change on inflows to Perth, Australia. Clim. Change 55, 361–393. doi:10.1023/A:1020588416541 CR - Grabs, W., Daamen, K., de Montmollin, F., 1997. Impact of Climate Change on Hydrological Regimes and Water Resources Management in the Rhine Basin (CHR-report I-16). CHR/KHR, Lelystad. CR - Heezik, A. V., 2008. Strijd om de rivieren: 200 jaar rivierenbeleid in Nederland of de opkomst en ondergang van het streven naar de normale rivier. CR - Huisman, P., De Jong, J., Wieriks, K., 2000. Transboundary cooperation in shared river basins: experiences from the Rhine, Meuse and North Sea. Water Policy 2, 83–97. doi:10.1016/S1366-7017(99)00023-9 CR - Moyle, P.B., Leidy, R.A., 1992. Loss of biodiversity in aquatic ecosystems: evidence from fish faunas, Conservation Biology. doi:10.1007/978-1-4684-6426-9_6 CR - Rutten, M.M., van de Giesen, N., Baptist, M., Icke, J., Uijttewaal, W., 2008. Seasonal forecast of cooling water problems in the River Rhine. Hydrol. Process. 22, 1037–1045. doi:10.1002/hyp.6988 CR - Southall, H.L., Simmers, J.A., O’Donnell, T.H., 1995. Direction finding in phased arrays with a neural network beamformer. IEEE Trans. Antennas Propag. 43, 1369–1374. doi:10.1109/8.475924 CR - Tielrooij, F., 2000. Waterbeleid voor de 21e eeuw: geef water de ruimte en de aandacht die het verdient. UR - https://doi.org/10.17482/uumfd.338785 L1 - http://dergipark.org.tr/tr/download/article-file/346177 ER -