Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems
A new methodology was developed for the real-time determination gate control operations of a river-reservoir system to minimize flooding conditions. The methodology is based upon an optimization-simulation model approach interfacing the genetic algorithm within MATLAB with simulation software for sh...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/9/1207 |
| _version_ | 1797536165643943936 |
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| author | Hasan Albo-Salih Larry Mays |
| author_facet | Hasan Albo-Salih Larry Mays |
| author_sort | Hasan Albo-Salih |
| collection | DOAJ |
| description | A new methodology was developed for the real-time determination gate control operations of a river-reservoir system to minimize flooding conditions. The methodology is based upon an optimization-simulation model approach interfacing the genetic algorithm within MATLAB with simulation software for short-term rainfall forecasting, rainfall–runoff modeling (HEC-HMS), and a one-dimensional (1D), two-dimensional (2D), and combined 1D and 2D combined unsteady flow models (HEC-RAS). Both real-time rainfall data from next-generation radar (NEXRAD) and gaging stations, and forecasted rainfall are needed to make gate control decisions (reservoir releases) in real-time so that at time t, rainfall is known and rainfall over the future time-period (Δt) to time t + Δt can be forecasted. This new model can be used to manage reservoir release schedules (optimal gate operations) before, during, and after a rainfall event. Through real-time observations and optimal gate controls, downstream water surface elevations are controlled to avoid exceedance of threshold flood levels at target locations throughout a river-reservoir system to minimize the damage. In an example application, an actual river reach with a hypothetical upstream flood control reservoir is modeled in real-time to test the optimization-simulation portion of the overall model. |
| first_indexed | 2024-03-10T11:55:46Z |
| format | Article |
| id | doaj.art-334f3e77eb2a4ba588c4977819e2646c |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T11:55:46Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-334f3e77eb2a4ba588c4977819e2646c2023-11-21T17:19:38ZengMDPI AGWater2073-44412021-04-01139120710.3390/w13091207Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir SystemsHasan Albo-Salih0Larry Mays1School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85281, USASchool of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85281, USAA new methodology was developed for the real-time determination gate control operations of a river-reservoir system to minimize flooding conditions. The methodology is based upon an optimization-simulation model approach interfacing the genetic algorithm within MATLAB with simulation software for short-term rainfall forecasting, rainfall–runoff modeling (HEC-HMS), and a one-dimensional (1D), two-dimensional (2D), and combined 1D and 2D combined unsteady flow models (HEC-RAS). Both real-time rainfall data from next-generation radar (NEXRAD) and gaging stations, and forecasted rainfall are needed to make gate control decisions (reservoir releases) in real-time so that at time t, rainfall is known and rainfall over the future time-period (Δt) to time t + Δt can be forecasted. This new model can be used to manage reservoir release schedules (optimal gate operations) before, during, and after a rainfall event. Through real-time observations and optimal gate controls, downstream water surface elevations are controlled to avoid exceedance of threshold flood levels at target locations throughout a river-reservoir system to minimize the damage. In an example application, an actual river reach with a hypothetical upstream flood control reservoir is modeled in real-time to test the optimization-simulation portion of the overall model.https://www.mdpi.com/2073-4441/13/9/1207optimizationsimulationriver/reservoir systemsgenetic algorithmrainfall forecastingrainfall runoff models |
| spellingShingle | Hasan Albo-Salih Larry Mays Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems Water optimization simulation river/reservoir systems genetic algorithm rainfall forecasting rainfall runoff models |
| title | Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems |
| title_full | Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems |
| title_fullStr | Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems |
| title_full_unstemmed | Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems |
| title_short | Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems |
| title_sort | testing of an optimization simulation model for real time flood operation of river reservoir systems |
| topic | optimization simulation river/reservoir systems genetic algorithm rainfall forecasting rainfall runoff models |
| url | https://www.mdpi.com/2073-4441/13/9/1207 |
| work_keys_str_mv | AT hasanalbosalih testingofanoptimizationsimulationmodelforrealtimefloodoperationofriverreservoirsystems AT larrymays testingofanoptimizationsimulationmodelforrealtimefloodoperationofriverreservoirsystems |