Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall
The goal of this investigation is to compare the hydrologic simulations caused by the areal-averaging of dynamic moving rainfall. Two types of synthetic rainfall are developed: spatially varied rainfall (SVR) is the typical input to a distributed model while temporally varied rainfall (TVR) emulates...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Hydrology |
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| Online Access: | https://www.mdpi.com/2306-5338/6/1/12 |
| _version_ | 1818991262708006912 |
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| author | Zheng N. Fang Michael J. Shultz Kevin J. Wienhold Jiaqi Zhang Shang Gao |
| author_facet | Zheng N. Fang Michael J. Shultz Kevin J. Wienhold Jiaqi Zhang Shang Gao |
| author_sort | Zheng N. Fang |
| collection | DOAJ |
| description | The goal of this investigation is to compare the hydrologic simulations caused by the areal-averaging of dynamic moving rainfall. Two types of synthetic rainfall are developed: spatially varied rainfall (SVR) is the typical input to a distributed model while temporally varied rainfall (TVR) emulates SVR but is spread uniformly over the entire watershed as in the case of a lumped model. This study demonstrates a direct comparison of peak discharge and peak timing generated by synthetic moving storms over idealized rectangular basins and a real watershed. It is found that the difference between the hydrologic responses from SVR and TVR reflects the impact from the areal-averaging of rainfall; the areal-averaging of rainfall for the movement from upstream to downstream over a lumped model can result in underestimated and delayed peak values in comparison to those from a distributed model; the flood peaks from SVR and TVR are found similar when the storm moves from downstream to upstream. The findings of the study suggest that extra cautions are needed for practitioners when evaluating simulated results from distributed and lumped modeling approaches even using the same rainfall information. |
| first_indexed | 2024-12-20T20:07:28Z |
| format | Article |
| id | doaj.art-35bc0fdf01d54cc780075775ba2c30c5 |
| institution | Directory Open Access Journal |
| issn | 2306-5338 |
| language | English |
| last_indexed | 2024-12-20T20:07:28Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Hydrology |
| spelling | doaj.art-35bc0fdf01d54cc780075775ba2c30c52022-12-21T19:27:54ZengMDPI AGHydrology2306-53382019-01-01611210.3390/hydrology6010012hydrology6010012Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving RainfallZheng N. Fang0Michael J. Shultz1Kevin J. Wienhold2Jiaqi Zhang3Shang Gao4Department of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USADepartment of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USADepartment of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USADepartment of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USADepartment of Civil Engineering, the University of Texas at Arlington, Arlington, TX 76019, USAThe goal of this investigation is to compare the hydrologic simulations caused by the areal-averaging of dynamic moving rainfall. Two types of synthetic rainfall are developed: spatially varied rainfall (SVR) is the typical input to a distributed model while temporally varied rainfall (TVR) emulates SVR but is spread uniformly over the entire watershed as in the case of a lumped model. This study demonstrates a direct comparison of peak discharge and peak timing generated by synthetic moving storms over idealized rectangular basins and a real watershed. It is found that the difference between the hydrologic responses from SVR and TVR reflects the impact from the areal-averaging of rainfall; the areal-averaging of rainfall for the movement from upstream to downstream over a lumped model can result in underestimated and delayed peak values in comparison to those from a distributed model; the flood peaks from SVR and TVR are found similar when the storm moves from downstream to upstream. The findings of the study suggest that extra cautions are needed for practitioners when evaluating simulated results from distributed and lumped modeling approaches even using the same rainfall information.https://www.mdpi.com/2306-5338/6/1/12storm movementsmoving stormshydrologic simulationsareal-averaging rainfall |
| spellingShingle | Zheng N. Fang Michael J. Shultz Kevin J. Wienhold Jiaqi Zhang Shang Gao Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall Hydrology storm movements moving storms hydrologic simulations areal-averaging rainfall |
| title | Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall |
| title_full | Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall |
| title_fullStr | Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall |
| title_full_unstemmed | Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall |
| title_short | Case Study: Comparative Analysis of Hydrologic Simulations with Areal-Averaging of Moving Rainfall |
| title_sort | case study comparative analysis of hydrologic simulations with areal averaging of moving rainfall |
| topic | storm movements moving storms hydrologic simulations areal-averaging rainfall |
| url | https://www.mdpi.com/2306-5338/6/1/12 |
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