Abstract
Curves of the Rainfall Intensity-Duration-Frequency are one of the most important engineering hydrology topics useful in water resources designs. It's created in desert climate of Najaf catchment harnessing a new programming method of the rapid artificial neural network, which differ from the old network and do not require an important criterion in the conducting of the normalization adjustment executing in the old style in the same field. The ANN outputs, from its intensity in millimeter / hour (mm / hr) unit for various periods in minutes (min), is obtained for a different frequency of the unit of the year. Its results were verified and the differences between them and the actual results were highly acceptable. The relationship between intensity (mm / hr) and duration (min) was found because of its importance employing the inverse logarithm of the fifth scale standard by performing Matlab version 2018a. The relationship between the frequency (year) and the duration (min) was also extracted recruiting the logarithm of the level v criterion. It has been discovered that the available data corresponds to the Lognormal Type III distribution and from this it is possible to calculate the periods of return.
Ayad Hussein, Hayder Hatif Kareem, Hayder Sami Mohammed. (2020) DRAW CURVES OF THE RAINFALL INTENSITY-DURATION-FREQUENCY BY USING ARTIFICIAL NEURAL NETWORK FOR AL-NAJAF AL-ASHRAF, Pakistan Journal of Engineering and Applied Sciences, Volume 26, Issue 1.
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