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All issues Volume 54 (2018) Ann. Limnol. - Int. J. Lim., 54 (2018) 5 References
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Issue
Ann. Limnol. - Int. J. Lim.
Volume 54, 2018
Article Number 5
Number of page(s) 10
DOI https://doi.org/10.1051/limn/2017033
Published online 13 February 2018
  • Abbaspour M, Javid AH, Mirbagheri SA, Givi FA, Moghimi P. 2012. Investigation of lake drying attributed to climate change. Int J Environ Sci Technol 9: 257–266. [Google Scholar]
  • ABHS. 2007. Situation hydrologique du Bassin de Sebou, année hydrologique 2006/2007. Bulletin de l'Agence Hydraulique du Bassin du Sebou (ABHS), n 20, 19 p. [Google Scholar]
  • ABHS. 2009. Situation hydrologique du Bassin de Sebou, année hydrologique 2008/2009. Bulletin de l'Agence Hydraulique du Bassin du Sebou (ABHS), n 21, 24 p. [Google Scholar]
  • Allen R, Pereira L, Raes D, Smith M. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements. In FAO Irrigation and drainage, paper 56. Rome: FAO, 301 p. [Google Scholar]
  • Altunkaynak A, Şen Z. 2007. Fuzzy logic model of lake water level fluctuations in Lake Van, Turkey. Theor Appl Climatol 90: 227–233. [CrossRef] [Google Scholar]
  • Arboleya ML, Teixell A, Charroud M, Julivert M. 2004. A structural transect through the High and Middle Atlas of Morocco. J Afr Earth Sci 39: 319–327. DOI:10.1016/j.jafrearsci.2004.07.036. [CrossRef] [Google Scholar]
  • Bartolai AM, He L, Hurst AE, Mortsch L, Paehlke R, Scavia D. 2015. Climate change as a driver of change in the Great Lakes St. Lawrence river basin. J Gt Lakes Res 41: 45–58. https://doi.org/10.1016/j.jglr.2014.11.012. [CrossRef] [Google Scholar]
  • Blumberg AF, Mellor GL. 1978. A coastal ocean numerical model, mathematical modeling of estuarine physics. In Sundermann J, Holz KP, eds. Proceedings of an International Symposium, Hamburg, August 24-26, Berlin: Springer-Verlag, pp 203–219. [Google Scholar]
  • Blumberg AF, Mellor GL. 1987. A description of a three-dimensional coastal ocean circulation model. In: Heaps N, ed. Three dimensional coastal ocean models, American Geophysics. [Google Scholar]
  • Born K, Fink AH, Knippertz P. 2010. Meteorological processes influencing the weather and climate of Morocco. In Speth P, Christoph M, Diekkrüger B, eds. Impacts of global change on the hydrological cycle in West and Northwest Africa, Berlin; Heidelberg: Springer, pp 150–163. [Google Scholar]
  • Brooks WR, Newbold SC. 2014. An updated biodiversity nonuse value function for use in climate change integrated assessment models. Ecol Econ 105: 342–349. https://doi.org/10.1016/j.ecolecon.2014.06.015. [CrossRef] [Google Scholar]
  • Burchard H. 2002. Applied turbulence modeling in marine waters. Lecture notes in earth sciences. Berlin-Heidelberg-New York-Barcelona-Hong Kong-London-Milan Paris-Tokyo: Springer, 215 p. [Google Scholar]
  • Chen C, Liu H, Beardsley RC. 2003. An unstructured grid, finitevolume, three-dimensional, primitive equations ocean model: application to coastal ocean and estuaries. J Atmos Ocean Technol 20: 159–186. [Google Scholar]
  • Chen CS, Beardsley RC, Cowles G. 2006a. An unstructured grid, finite-volume coastal ocean model–FVCOM user manual. In Technical Report SMAST/UMASSD-06-0602 Second Edition. New Bedford: School for Marine Science and Technology, University of Massachusetts Dartmouth, 318 pp. [Google Scholar]
  • Chen CS, Beardsley RC, Cowles G. 2006b. An unstructured grid, finite-volume coastal ocean model (FVCOM) system. Oceanography 19: 78–89. [CrossRef] [Google Scholar]
  • Chen C, Huang H, Beardsly RC, Liu H, Xu Q, Cowles G. 2007. A finite volume numerical approach for coastal ocean circulation studies: comparisons with finite difference models. J Geophys Res 112: C03018. [Google Scholar]
  • Conversa G, Bonasia A, Di Gioia F, Elia A. 2015. A decision support system (GesCoN) for managing fertigation in vegetable crops. Part II-model calibration and validation under different environmental growing conditions on field grown tomato. Front Plant Sci 6. [Google Scholar]
  • Coops H, Beklioglu M, Crisman TL. 2003. The role of water-level fluctuations in shallow lake ecosystems-workshop conclusions. Hydrobiologia 506: 23–27. https://doi.org/10.102/B:HYDR0000008595.14393.77. [CrossRef] [Google Scholar]
  • De Waele J, Melis MT. 2009. Geomorphology and geomorphological heritage of the Ifrane–Azrou region (Middle Atlas, Morocco). Environ Geol 58: 587–599. DOI:10.1007/s00254-008-1533-4. [CrossRef] [Google Scholar]
  • El-Nasr AA, Arnold JG, Feyen J, Berlamont J. 2005. Modelling the hydrology of a catchment using a distributed and a semi-distributed model. Hydrol Process 19: 573–587. [CrossRef] [Google Scholar]
  • Fernandes LFS, dos Santos CMM, Pereira AP, Moura JP. 2011. Model of management and decision support systems in the distribution of water for consumption: case study in north Portugal. Eur J Environ Civ Eng 15: 411–426. https://doi.org/10.1080/19648189.2011.9693334. [CrossRef] [Google Scholar]
  • Finlayson CM, Davis JA, Gell PA, Kingsford RT, Parton KA. 2013. The status of wetlands and the predicted effects of global climate change: the situation in Australia. Aquat Sci 75: 73–93. https://doi.org/10.1007/s00027-011-0232-5. [Google Scholar]
  • Guo H, Jiang T, Wang G, Su B, Wang Y. 2006. Observed trends and jumps of climate change over Lake Poyang Basin, China: 1961–2003. J Lake Sci 18: 443–451. https://doi.org/10.18307/2006.0501. [CrossRef] [Google Scholar]
  • Gupta HV, Sorooshian S, Yapo PO. 1999. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrol Eng 4: 135–143. [CrossRef] [Google Scholar]
  • Haddeland I, Heinke J, Biemans H, Eisner S, Flörke M, Hanasaki N, Stacke T, et al. 2014. Global water resources affected by human interventions and climate change. Proc Natl Acad Sci 111: 3251–3256. https://doi.org/10.1073/pnas.1222475110. [CrossRef] [Google Scholar]
  • Haddout S, Igouzal M, Maslouhi A. 2016. Analytical and numerical study of the salinity intrusion in the Sebou river estuary (Morocco)–effect of the Super Blood Moon (total lunar eclipse) of 2015. Hydrol Earth Syst Sci 20: 3923–3945. [CrossRef] [Google Scholar]
  • Haddout S, Priya KL, Boko M, Azidane H. 2017a. Comparison of one-dimensional (1-D) column lake models prediction for surface water temperature in eight selected Moroccan lakes. ISH J Hydraul Eng 1–13. [Google Scholar]
  • Haddout S, Maslouhi A, Igouzal M. 2017b. Predicting of salt water intrusion in the Sebou river estuary (Morocco). J Appl Water Eng Res 5: 40–50. [CrossRef] [Google Scholar]
  • Haghighi AT, Marttila H, Klove B. 2014. Development of a new index to assess river regime impacts after dam construction. Glob Planet Change 122: 186–196. https://doi.org/10.1016/j.gloplacha.2014.08.019. [CrossRef] [Google Scholar]
  • Haghighi AT, Klove B. 2015. A sensitivity analysis of lake water level response to changes in climate and river regimes. Limnol Ecol Manag Inland Waters 51: 118–130. https://doi.org/10.1016/j.limno.2015.02.001. [CrossRef] [Google Scholar]
  • Haghighi AT, Menberu MW, Aminnezhad M, Marttila H, Klove B. 2016. Can lake sensitivity to desiccation be predicted from lake geometry? J Hydrol 539: 599–610. https://doi.org/10.1016/j.jhydrol.2016.05.064. [CrossRef] [Google Scholar]
  • Hassan AA, Jin S. 2014. Lake level change and total water discharge in east africa rift valley from satellite-based observations. Glob Planet Change 117: 79–90. https://doi.org/10.1016/j.gloplacha.2014.03.005. [CrossRef] [Google Scholar]
  • Huang HS, Chen CS, Cowles GW, Winant CD, Beardsley RC, Hedstrom KS, Haidvogel DB. 2008. FVCOM validation experiments: comparisons with ROMS for three idealized barotropic test problems. J Phys Oceanogr 113: C07042. DOI:10.1029/2007JC004557. [Google Scholar]
  • Huang S, Dahal D, Young C, Chander G, Liu S. 2011. Integration of palmer drought severity index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood lake area, North Dakota. Remote Sens Environ 115: 3377–3389. https://doi.org/10.1016/j.rse.2011.08.002. [CrossRef] [Google Scholar]
  • Hubbard ME. 1999. Multidimensional slope limiters for MUSCLtype finite volume schemes on unstructured grids. J Computat Phys 155: 54–74. [CrossRef] [MathSciNet] [Google Scholar]
  • International Joint Commission. 2012. Lake superior regulation: addressing uncertainty in Upper Great Lakes water levels. Final Report, 28. [Google Scholar]
  • Jin S, Feng G. 2013. Large-scale variations of global groundwater from satellite gravimetry and hydrological models, 2002-2012. Glob Planet Change 106: 20–30. https://doi.org/10.1016/j.gloplacha.2013.02.008. [CrossRef] [Google Scholar]
  • Kobayashi MH, Pereira JMC, Pereira JCF. 1999. A conservative finite-volume second order accurate projection method on hybrid unstructured grids. J Computat Phys 150: 40–75. [CrossRef] [Google Scholar]
  • Knippertz P, Christoph M, Speth P. 2003. Long-term precipitation variability in Morocco and the link to the large-scale circulation in recent and future climates. Meteorol Atmos Phys 83: 67–88. DOI: 10.1007/s00703-002-0561-y. [CrossRef] [Google Scholar]
  • Lai ZG, Chen CS, Cowles G, Beardsley RC. 2010a. A non-hydrostatic version of FVCOM, Part I: validation experiment. J Geophys Res 115. DOI:10.1029/2009JC005525. [Google Scholar]
  • Lai ZG, Chen CS, Cowles G, Beardsley RC. 2010b. A non-hydrostatic version of FVCOM, Part II: mechanistic study of tidally generated nonlinear internal waves in Massachusetts Bay. J Geophys Res. DOI: 10.1029/2010JC006331. [Google Scholar]
  • Lamb H, Roberts N, Leng M, Barker P, Benkaddour A, van der Kaars S. 1999. Lake evolution in a semi-arid montane environment: response to catchment change and hydroclimatic variation. J Paleolimnol 21: 325–343. DOI: 10.1023/A:1008099602205. [CrossRef] [Google Scholar]
  • Mekonnen MM, Hoekstra AY, Becht R. 2012. Mitigating the water footprint of export cut flowers from the lake Naivasha Basin, Kenya. Water Res Manag 26: 3725–3742. https://doi.org/10.1007/s11269-012-0099-9. [CrossRef] [Google Scholar]
  • Mellor GL. 2003. The three-dimensional current and surface wave equations. J Phys Oceanogr 33: 1978–1989. [CrossRef] [Google Scholar]
  • Mellor GL. 2005. Some consequences of the three- dimensional currents and surface wave equations. J Phys Oceanogr 35: 2291–2298. [Google Scholar]
  • Mellor GL. 2008. The depth-dependent current and wave interaction equations: a revision. J Phys Oceanogr 38: 2587–2596. [Google Scholar]
  • Mellor GL, Yamada T. 1982. Development of a turbulence closure model for geophysical fluid problem. Rev Geophys Space Phys 20: 851–875. [Google Scholar]
  • Mendoza ME, Bocco G, Bravo M, Granados EL, Osterkamp WR. 2006. Predicting water-surface fluctuation of continental lakes: a RS and GIS based approach in central Mexico. Water Res Manag 20: 291–311. https://doi.org/10.1007/s11269-006-8199-z. [CrossRef] [Google Scholar]
  • Menjour F, Amraoui F, Remmal T. 2016. Assessment of the spatio-temporal evolution of Aguelmam Sidi Ali Lake using multitemporal landsat imagery (Middle Atlas-Morocco). In 6th International Conference on Cartography and Gis p. 588. [Google Scholar]
  • Mistry VV, Conway D. 2003. Remote forcing of east African rainfall and relationships with fluctuations in levels of lake Victoria. Int J Clim 23: 67–89. https://doi.org/10.1002/joc.861. [CrossRef] [Google Scholar]
  • Moftakhari HR, Jay DA, Talke SA, Kukulka T, Bromirski PD. 2013. A novel approach to flow estimation in tidal rivers. Water Resour Res 49: 4817–4832. https://doi.org/10.1002/wrcr.20363. [Google Scholar]
  • Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans Asabe 50: 885–900. [Google Scholar]
  • Motiee H, McBean E. 2009. An assessment of long-term trends in hydrologic components and implications for water levels in lake superior. Hydrol Res 40: 564–579. https://doi.org/10.2166/nh.2009.061. [CrossRef] [Google Scholar]
  • Muvundja FA, Wüest A, Isumbisho M, Kaningini MB, Pasche N, Rinta P, Schmid M. 2014. Modelling lake kivu water level variations over last seven decades. Limnol Ecol Manag Inland Water 47: 21–33. https://doi.org/10.1016/j.limno.2014.02.003. [CrossRef] [Google Scholar]
  • Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models part I-A discussion of principles. J Hydrol 10: 282–290. DOI:10.1016/0022-1694(70)90255-6. [CrossRef] [Google Scholar]
  • Njaya F, Snyder KA, Jamu D, Wilson J, Howard-Williams C, Allison EH, Andrew NL. 2011. The natural history and fisheries ecology of lake Chilwa, Southern Malawi. J Gt Lakes Res 37: 15–25. https://doi.org/10.1016/j.jglr.2010.09.008. [CrossRef] [Google Scholar]
  • Pengra B. 2012. The drying of Iran's Lake Urmia and its environmental consequences. UNEP-GRID, Sioux Falls, UNEP Global Environmental Alert Service (GEAS). [Google Scholar]
  • Rhanem M. 2009. L'alfa (Stipa tenacissima L.) dans la plaine de Midelt (haut bassin versant de la Moulouya, Maroc)-Éléments de climatologie. Physio-Géo 3: 1–20. [Google Scholar]
  • Ryner M, Gasse F, Rumes B, Verschuren D. 2007. Climatic and hydrological instability in semi-arid equatorial east Africa during the late glacial to holocene transition: a multi-proxy reconstruction of aquatic ecosystem response in northern tanzania. Palaeogeogr Palaeoclimatol Palaeoecol 248: 440–458. https://doi.org/10.1016/j.palaeo.2006.12.014. [CrossRef] [Google Scholar]
  • Santos RMB, Fernandes LS, Moura JP, Pereira MG, Pacheco FAL. 2014. The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components. J Hydrol 519: 1297–1314. https://doi.org/10.1016/j.jhydrol.2014.09.001. [CrossRef] [Google Scholar]
  • Sayad A, Chakiri S, Martin C, Bejjaji Z, Echarfaoui H. 2011. Effet des conditions climatiques sur le niveau du lac Sidi Ali (Moyen Atlas, Maroc). Physio-Géo Géogr Phys Environ 5: 251–268. [Google Scholar]
  • Stehr A, Debels P, Romero F, Alcayaga H. 2008. Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study. Hydrol Sci J 53: 588–601. [CrossRef] [Google Scholar]
  • Vaziri M. 1997. Predicting caspian sea surface water level by ANN and ARIMA models. J Waterway Port Coas Ocean Eng 123: 158–162. [CrossRef] [Google Scholar]
  • Woodbury LH, Padmanabhan G. 1989. Estimating terminal lake level frequencies, ASCE. J Water Resour Plan Manag 115: 321–337. [CrossRef] [Google Scholar]
  • Yuan Y, Zeng G, Liang J, Huang L, Hua S, Li F, He Y, et al. 2015. Variation of water level in Dongting lake over a 50-year period: implications for impacts of anthropogenic and climatic factors. J Hydrol 525: 450–456. https://doi.org/10.1016/j.jhydrol.2015.04.010. [CrossRef] [Google Scholar]
  • Zawiska I, Słowiński M, Correa-Metrio A, Obremska M, Luoto T, Nevalainen L, Milecka K, et al. 2015. The response of a shallow lake and its catchment to late glacial climate changes-a case study from eastern Poland. Catena 126: 1–10. https://doi.org/10.1016/j.catena.2014.10.007. [CrossRef] [Google Scholar]
  • Zeinoddini M, Tofighi MA, Vafaee F. 2009. Evaluation of dike-type causeway impacts on the flow and salinity regimes in Urmia Lake. Iran J Gt Lake Res 35: 13–22. [CrossRef] [Google Scholar]
  • Zhaoqing Y, Tarang Kh. 2008. Modeling of salt intrusion, intertidal mixing, and circulation in a Braided estuary. J Coas Res 52: 171–180. [Google Scholar]
  • Zielhofer C, Fletcher WJ, Mischke S, De Batist M, Campbell JF, Joannin S, Bussmann J. 2017. Atlantic forcing of Western Mediterranean winter rain minima during the last 12,000 years. Quat Sci Rev 157: 29–51. [CrossRef] [Google Scholar]
  • Zilefac EA. 2010. Analysis of climate variability and anthropogenic impacts on the water balance of lake chad drainage basin. [Google Scholar]

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