Open AccessThe Ant Colony Optimization Model to Determine the Parameters of Hydrograph Unit Snyder
Author(s) -
Burhan Barid,
Suripin,
Robert J. Kodoatie
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8319.019320
Subject(s) - hydrograph , calibration , watershed , ant colony optimization algorithms , computer science , statistics , flow (mathematics) , reliability (semiconductor) , mathematics , algorithm , geography , machine learning , physics , power (physics) , geometry , quantum mechanics , archaeology , flood myth
The relationship of rain flow is needed to get an accurate peak discharge and volume value. This value is require so that the analysis of hydrological problems produces an approach that is closer to reality in the watershed. Calibration and validation have been carried out in the form of statistical steps. The reliability of calibration with statistics in certain sections provides less accurate results. HSS snyder calculation uses the parameters Cp and Ct. These two parameters cannot be determined with certainty. Therefore, the parameters Cp and Ct need to be optimized to get a more reliable value. Calculation of the relationship of rain flow using the Snyder synthetic hydrograph method was chosen because it was able to be used if the watershed characteristics data were limited. Hydrograph calibration is commonly used with standard deviation statistics between the two data. Ant colony optimization was performed so that the calculation results are even better so that it gives a true picture of the hydrological phenomenon in an area. Field data calibration with the optimization of the Snyder hydrograph provides better R and SD values than the HSS Snyder without optimization. The optimization result of the Snyder hydrograph is Q p = 0.44 . A / t p .