This project proposes an image analysis of chrome in irrigation channels of variable slope and his numerical modeling. The experiment is based on a scale model of irrigation channels in the region of Irapuato, Gto. Mexico for the production of sorghum and corn. The concentrations reported in extraction wells for irrigation, ranged from 3 to 10 gm/L. The purpose of this study is to quantify the dilution of contaminant in different sections of primary irrigation channels using advection-diffusion-reaction equations.
Results show the behavior of chrome dilution in a water column and in the x-y plane. Firstly, through the use of image analysis, the concentration of chrome is estimated by color analysis in digital frames extracted from a set of videos using computational vision techniques. Subsequently, this analysis is compared with the numerical modeling using the FLOW-3d software. An error of 2.87% is observed in the quantification of the concentration, as well as an error of 1.40% in the estimation of the dispersion and dilution of chrome in the physical model.