Parameter Identification To Estimate Discharges Of Multiple Water Level Stations Using Colleo Optimization Software
12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE(2016)
Abstract
A parameter estimation is presented of a distributed hydrological model in a basin which has multiple water level stations. A problem is placed that the fittings are not always satisfactory in the cases where the discharge of one water level station is calculated based on the parameter values which are optimized to another water level station. A solution is demonstrated to calculate the discharges based on the parameter values selected from the results of multiobjective optimization where the errors at the water level stations are minimized simultaneously. Good performance is illustrated in two implementations of NSGA2 in Colleo optimization software. (C) 2016 The Authors. Published by Elsevier Ltd.
MoreTranslated text
Key words
multi-objective optimization, IFAS, PWRI distributed hydrological model, parameter estimation, parameter identification
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined