Runoff-Rainfall Prediction formula for West Dar Fur State using Statistical Methods and GIS

Authors

  • Tyseer Y. Mustafa   Sudan University of Science and Technology, collage of Environment and water resource Engineering, Department of water resource Engineering, Sudan
  • Abbas A. Ibrahim  Sudan University of Science and Technology, collage of Environment and water resource Engineering, Department of water resource Engineering, Sudan
  • Insaf S. Babiker  University of Khartoum, Faculty of science, Department of Geology, Sudan
  • Arman M. Abdalla  Sudan University of Science and Technology, collage of Engineering and Technology Industries, Department of Plastic Engineering, Sudan

Keywords:

West Dar Fur, multiple regression, prediction, GIS, XLSATA tools

Abstract

The Runoff-Rainfall prediction formula of annual stream flow was developed for Wadis system in West Dar Fur State using discharge gauged stations, GIS program, and rainfall data analysis together with multiple regression equation were evaluated by XLSATA tool in Excel. The relationship produced R3 (correlation coefficient) value equal to 0.995. Some stations were chosen to verify the accuracy of the relationship. Finally, the total annual flow was calculated for the State based on two major Wadis are Azum and kaja. The collective flow volume calculated in West Dar Fur State was (2348 Million m3 )for the two wadies. These results were discussed and compared with previous studies in West Dar Fur State. The integrated approach using GIS and statistical methods proved to be successful and accurate procedure.

References

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  2. Babiker I. Barsi, "Water Resources of Wadi Systems in Darfur," International Seminar on "Challenges in Applications of Integrated Water Resources Management, vol. Water and Environment Center, Sana'a University, Sana’a, 2010.
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Published

2017-02-28

Issue

Section

Research Articles

How to Cite

[1]
Tyseer Y. Mustafa ,Abbas A. Ibrahim, Insaf S. Babiker, Arman M. Abdalla, " Runoff-Rainfall Prediction formula for West Dar Fur State using Statistical Methods and GIS , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp.193-211, January-February-2017.