Body Height Estimation In Irrigation Dams With Deep Learning Model

Abstract

Dams are one of the most important constructions for our country. The body height of the dams isone of the important factors in the efficiency of the dams. Today, the body height of dams is calculated byengineers. The aim of our study is to calculate the dam height with the deep learning model of artificialintelligence. Modeling was coded with python software. Numpy pandas libraries were used for the analysisof dam data. Matplotlib and seaborn were employed to visualize the data. Sklearn, tensorflow and keraslibraries were used for deep learning modeling. Dam data are limited to irrigation dams in Turkey. For dataanalysis, the altitude, height, volume, area, temperature and precipitation characteristics were taken intoconsideration. As a result of our study, the dam body height estimation was done by teaching the dam datato the machine through multi-layer artificial neural networks of the deep learning model. The deviation inthe body height estimations was found to be higher due to the insufficient data.