Performance Evaluation of AWBM, Sacramento and SimHyd models in Runoff Simulation of the Amameh Watershed using Automatic Calibration Optimization Method of Genetic Algorithm

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MOHAMMADI VAND MOHAMMAD REZA; ARAGHINEJAD SHAHAB; EBRAHIMI KUMARS; MODARESI FERESHTEH

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Journal: Iranian Journal of Soil and Water Research Year:2019 | Volume:50 | Issue:7 Page(s): 1759-1769

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Title

Performance Evaluation of AWBM, Sacramento and SimHyd models in Runoff Simulation of the Amameh Watershed using Automatic Calibration Optimization Method of Genetic Algorithm

Author(s)

MOHAMMADI VAND MOHAMMAD REZA | ARAGHINEJAD SHAHAB | EBRAHIMI KUMARS | MODARESI FERESHTEH | Issue Writer Certificate

Keywords

AWBMQ1

SacramentoQ1

SimHydQ1

Genetic algorithmQ2

Hydrological modelsQ1

Abstract

One of the valid methods for simulation of the complex and non-linear process of rainfall-runoff is to use Hydrological models. The purpose of this paper is to investigate the performance of three conceptual and lumped rainfall-runoff models; AWBM, Sacramento and SimHyd for simulating daily runoff at the outlet of the Amameh watershed using automatic calibration optimization Genetic algorithm. Similar to other Hydrological models, the range of parameters' variations is high in all three models and due to the difficulty of calibrating with trial and error-based methods, in this paper, the use of automatic calibration optimization methods for the Hydrological models investigated. Preparation of required maps carried out by the GIS software version 10. 4. 1. Daily rainfall, potential evapotranspiration and observation runoff data of 2001-2005 used for calibration and 2006-2007 data for simulations verificasion. The evaluation criteria including Nash-Sutcliff coefficient (NSE), coefficient of determination (R 2 ) and root mean square error (RMSE) used to evaluate the proposed models. The statistical and graphical results of calibration and verification steps showed that SimHyd model performed better than the other two models with Nash-Sutcliff coefficient of 0. 575 and 0. 731, determination coefficient of 0. 61 and 0. 80 and the root mean square error of 1. 033 and 0. 829 respectively in the calibration and verification periods, using the automatic calibration optimization of the Genetic algorithm and good graphical matching with the observational values. Also, AWBM and Sacramento models have satisfactory and desirable graphical and statistical results in the selected watershed and emphasize the good performance of automatic calibration optimization of the Genetic algorithm.

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APA: Copy

MOHAMMADI VAND, MOHAMMAD REZA, ARAGHINEJAD, SHAHAB, EBRAHIMI, KUMARS, & MODARESI, FERESHTEH. (2019). Performance Evaluation of AWBM, Sacramento and SimHyd models in Runoff Simulation of the Amameh Watershed using Automatic Calibration Optimization Method of Genetic Algorithm. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 50(7 ), 1759-1769. SID. https://sid.ir/paper/225675/en

Vancouver: Copy

MOHAMMADI VAND MOHAMMAD REZA, ARAGHINEJAD SHAHAB, EBRAHIMI KUMARS, MODARESI FERESHTEH. Performance Evaluation of AWBM, Sacramento and SimHyd models in Runoff Simulation of the Amameh Watershed using Automatic Calibration Optimization Method of Genetic Algorithm. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2019;50(7 ):1759-1769. Available from: https://sid.ir/paper/225675/en

IEEE: Copy

MOHAMMAD REZA MOHAMMADI VAND, SHAHAB ARAGHINEJAD, KUMARS EBRAHIMI, and FERESHTEH MODARESI, “Performance Evaluation of AWBM, Sacramento and SimHyd models in Runoff Simulation of the Amameh Watershed using Automatic Calibration Optimization Method of Genetic Algorithm,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 50, no. 7 , pp. 1759–1769, 2019, [Online]. Available: https://sid.ir/paper/225675/en

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