Impacts of climate change on runoffs in East Azerbaijan, Iran

Global and Planetary Change

Volumn 78, Issue 3-4, 2011, Pages 137-146

  Zarghami, Mahdi ^a   Abdi, Amin ^a   Babaeian, Iman ^b   Hassanzadeh, Yousef ^a   Kanani, Reza ^c  

^a UNIVERSITY OF TABRIZ   (Iran)

^b Climatological Research Institute   (Iran)

^c East Azerbaijan Regional Water Company   (Iran)

Author keywords

ANN; Climate change; De Martonne index; Downscaling; Iran; Water resources

Indexed keywords

ANN; ANNUAL PRECIPITATION; ARIDITY INDEX; ARTIFICIAL NEURAL NETWORK; AZERBAIJAN; DE MARTONNE INDEX; DOWNSCALING; EMISSION SCENARIO; GENERAL CIRCULATION MODEL; IRAN; PRECIPITATION PATTERNS; QUALITY OF WATER; RESEARCH OUTCOME; SEMI ARID; STOCHASTIC WEATHER GENERATOR; SYNOPTIC STATION; TEMPERATURE RISE;

ARID REGIONS; CLIMATE MODELS; NEURAL NETWORKS; RUNOFF; STOCHASTIC MODELS; WATER QUALITY; WATER RESOURCES; WATER SUPPLY;

CLIMATE CHANGE;

ARIDITY; ARTIFICIAL NEURAL NETWORK; CLIMATE CHANGE; CLIMATIC REGION; DOWNSCALING; DROUGHT; EMISSION; GENERAL CIRCULATION MODEL; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); RESEARCH WORK; RUNOFF; STOCHASTICITY; TEMPERATURE GRADIENT; WATER DEMAND; WATER QUALITY; WATER RESOURCE; WATER SUPPLY; WATERSHED;

EAST AZERBAIJAN; IRAN;

EID: 80052146315     PISSN: 09218181     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gloplacha.2011.06.003     Document Type: Article

References (27)

1. Abbaspour K.C., Faramarzi M., Ghasemi S.S., Yang H. Assessing the impact of climate change on water resources in Iran. Water Resources Research 2009, 45:W10434.
2. Alcamo J., Henrichs T., Rosch T. World water in 2025, global modeling and scenario analysis for the World Commission on Water for 21st century. Report A0002, Center for Environmental System Research, University of Kassel, Germany 2000.
3. Alizadeh A. Principles of Applied Hydrology 2001, Astan Ghodss Publishing, Mashad, Iran, (in Farsi). 13th ed.
4. Aus der Beek, T., Voß, F., Flörke, M., 2011. Modelling the impact of global change on the hydrological system of the Aral Sea basin. Physics and Chemistry of the Earth, (in press), doi:10.1016/j.pce.2011.03.004.
5. Babaeian I., Kwon W.T. Climate change assessment over Korea using stochastic daily data. Proceeding of the First Iran-Korea Joint Workshop on Climate Modelling, Nov. 2005 2005, Climate Research Institute, Mashad, Iran.
6. De Martonne E. Aérisme et indice d'aridité. Comptes rendus de l'Académie des Sciences 1926, 182:1395-1398.
7. Fausett L. Fundamentals of Neural Networks 1994, Prentice Hall, Englewood Cliffs, N.J.
8. Golder Associates Assessment of climate change effects on water yield from the North Saskatchewan River Basin. Report Submitted to North Saskatchewan Watershed Alliance 2008.
9. Göncü S., Albek E. Modeling climate change effects on streams and reservoirs with HSPF. Water Resources Management 2010, 24:707-726.
10. Gosain A.K., Rao S., Basuray D. Climate change impact assessment on hydrology of Indian River basins. Current Science 2006, 90(3):346-353.
11. Haykin S. Neural Networks: a Comprehensive Foundation 1994, MacMillan, New York.
12. Hessami M., Gachon P., Ouarda T.B.M.J., St-Hilaire A. Automated regression-based statistical downscaling tool. Environmental Modelling and Software 2008, 23(6):813-834.
13. Kim T.W., Valdes J.B. Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks. Journal of Hydrologic Engineering 2003, 8(6):319-328.
14. Kottegoda N.T., Rosso R. Applied Statistics for Civil and Environmental Engineers 2008, Wiley-Blackwell, Oxford, UK.
15. Lawless C., Semenov M.A. Assessing lead-time for predicting wheat growth using a crop simulation model. Agricultural and Forest Meteorology 2005, 135:302-313.
16. Lioubimtseva E., Henebry G.M. Climate and environmental change in arid Central Asia: impacts, vulnerability, and adaptations. Journal of Arid Environments 2009, 73(11):963-977.
17. Neira Mendez, F.H., 2005. Assessment of climate indices in drylands of Colombia, Msc thesis in the Universiteit Gent, Belgium.
18. Oliver J.E. Encyclopedia of World Climatology 2008, Springer, Dordrecht, Netherlands.
19. Pouliotte J., Smit B., Westerhoff L. Adaptation and development: livelihoods and climate change in Subarnabad, Bangladesh. Climate and Development 2009, 1(1):31-46.
20. Qian B.D., Gameda S., Hayhoe H., De Jong R., Bootsma A. Comparison of LARS-WG and AAFC-WG stochastic weather generators for diverse Canadian climates. Climate Research 2004, 26:175-191.
21. Racsko P., Szeidl L., Semenov M. A serial approach to local stochastic weather models. Ecological Modeling 1991, 57:27-41.
22. Rahnama M.B., Noury M. Developing of Halil river rainfall-runoff model, using conjuction of wavelet transform and artificial neural network. Research Journal of Environmental Science 2008, 2(5):385-392.
23. Ranjan S.P., Kazama S., Sawamoto M. Effects of climate and land use changes on groundwater resources in coastal aquifers. Journal of Environmental Management 2006, 80:25-35.
24. Sajjad Khan M., Coulibaly P., Dibike Y. Uncertainty analysis of statistical downscaling methods. Journal of Hydrology 2006, 319:357-382.
25. Semenov M.A., Barrow E.M. Use of a stochastic weather generator in the development of climate change scenarios. Climate Change 1997, 35:397-414.
26. Semenov M.A., Brooks R.J. Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain. Climate Research 1999, 11:137-148.
27. Semenov M.A., Brooks R.J., Barrow E.M., Richardson C.W. Comparison of the WGEN and LARS-WG stochastic weather generators in diverse climates. Climate Research 1998, 10:95-107.