Runoff-Rainfall Prediction formula for West Dar Fur State using Statistical Methods and GIS
Keywords:
West Dar Fur, multiple regression, prediction, GIS, XLSATA toolsAbstract
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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