Long term effect of climate change on rainfall in northwest Iraq

Middle East, like North Africa, is considered as arid to semi-arid region. Water shortages in this region, represents an extremely important factor in stability of the region and an integral element in its economic development and prosperity. Iraq was an exception due to presence of Tigris and Euphrates Rivers. After the 1970s the situation began to deteriorate due to continuous decrease in discharges of these rivers, are expected to dry by 2040 with the current climate change. In the present paper, long rainfall trends up to the year 2099 were studied in Sinjar area, northwest of Iraq, to give an idea about its future prospects. Two emission scenarios, used by the Intergovernmental Panel on Climate Change (A2 and B2), were employed to study the long term rainfall trends in northwestern Iraq. All seasons consistently project a drop in daily rainfall for all future periods with the summer season is expected to have more reduction compared to other seasons. Generally the average rainfall trend shows a continuous decrease. The overall average annual rainfall is slightly above 210 mm. In view of these results, prudent water management strategies have to be adopted to overcome or mitigate consequences of future severe water crisis.

[1]  P. Coulibaly,et al.  Downscaling Precipitation and Temperature with Temporal Neural Networks , 2005 .

[2]  B. Hewitson,et al.  Climate downscaling: techniques and application , 1996 .

[3]  Okan Fistikoglu,et al.  Statistical Downscaling of Monthly Precipitation Using NCEP/NCAR Reanalysis Data for Tahtali River Basin in Turkey , 2011 .

[4]  L. Kumar,et al.  Climate Change Impacts on the Future Distribution of Date Palms: A Modeling Exercise Using CLIMEX , 2012, PloS one.

[5]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[6]  H. Wheater Progress in and prospects for fluvial flood modelling , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[7]  P. G. J. Lisboa Neural Networks: Current Applications , 1992 .

[8]  B. Hewitson,et al.  Performance of NCEPNCAR reanalysis variables in statistical downscaling of daily precipitation , 2005 .

[9]  Jamie Hannaford,et al.  An assessment of trends in UK runoff and low flows using a network of undisturbed catchments , 2006 .

[10]  Nadhir Al-Ansari,et al.  Toward Prudent management of Water Resources in Iraq , 2011 .

[11]  A. V. Vecchia,et al.  Global pattern of trends in streamflow and water availability in a changing climate , 2005, Nature.

[12]  Jacqueline de Chazal,et al.  Climate change 2007 : impacts, adaptation and vulnerability : Working Group II contribution to the Fourth Assessment Report of the IPCC Intergovernmental Panel on Climate Change , 2014 .

[13]  Nadhir Al-Ansari,et al.  Management of Water Resources in Iraq: Perspectives and Prognoses , 2013 .

[14]  Matthew Rodell,et al.  Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region , 2013, Water resources research.

[15]  D. Legates,et al.  Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation , 1999 .

[16]  Marcel G. Schaap,et al.  Database-related accuracy and uncertainty of pedotransfer functions , 1998 .

[17]  Akira Mano,et al.  Downscaling Global Weather Forecast Outputs Using ANN for Flood Prediction , 2011, J. Appl. Math..

[18]  Soroosh Sorooshian,et al.  Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration , 1999 .

[19]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[20]  B. Föger The FIELD study , 2006, The Lancet.

[21]  Ödön Starosolszky Applied Surface Hydrology , 1987 .

[22]  Eric P. Smith,et al.  An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.

[23]  Clive D. Lipchin,et al.  Conflict and Water Use in the Middle East , 2005 .

[24]  C. Ojha,et al.  Downscaling of Precipitation for Lake Catchment in Arid Region in India using Linear Multiple Regression and Neural Networks , 2010 .

[25]  N. Al‐Ansari,et al.  Rainfall trends in the Badia Region of Jordan , 2005 .

[26]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[27]  Young-Oh Kim,et al.  Rainfall‐runoff models using artificial neural networks for ensemble streamflow prediction , 2005 .

[28]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[29]  Deepika Yadav,et al.  Stream flow forecasting using Levenberg-Marquardt algorithm approach , 2011 .