A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment
An efficient inundation model is necessary for emergency flood responses during storm events. Cellular automata (CA)-based flood models have been proven to produce rapid results while maintaining a certain degree of accuracy. However, the need for computational resources dramatically increases when...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/9/1311 |
| _version_ | 1797534959012937728 |
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| author | Obaja Triputera Wijaya Tsun-Hua Yang |
| author_facet | Obaja Triputera Wijaya Tsun-Hua Yang |
| author_sort | Obaja Triputera Wijaya |
| collection | DOAJ |
| description | An efficient inundation model is necessary for emergency flood responses during storm events. Cellular automata (CA)-based flood models have been proven to produce rapid results while maintaining a certain degree of accuracy. However, the need for computational resources dramatically increases when the number of grid cells increases. Digital elevation model (DEM)-based models generate results even faster, but the simplified governing equations within the models fail to reflect temporal flood evolution. To achieve rapid flood modeling while maintaining model simplicity, a novel two-dimensional hybrid inundation model (HIM) was developed by combining the CA- and DEM-based concepts. Given the temporal flood evolution generated by the CA concept, final finer-scale predictions were obtained by applying the DEM-based concept. The performance of this model was compared to those of widely used, physically based hydraulic models using three UK Environment Agency (EA) benchmark test cases. The HIM yielded consistent prediction results but was faster than the CA-based model. Finally, a comparison was made against flood observations, and the overall root mean squared error (RMSE) for flood depth was 0.388–0.400 m. Considering the uncertainty in the observed flood depths, the HIM shows promising potential to serve as an intermediate tool for emergency response in practical cases. |
| first_indexed | 2024-03-10T11:37:53Z |
| format | Article |
| id | doaj.art-c84fea4da07f4bf58b095b3c329f5104 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T11:37:53Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-c84fea4da07f4bf58b095b3c329f51042023-11-21T18:44:21ZengMDPI AGWater2073-44412021-05-01139131110.3390/w13091311A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood AssessmentObaja Triputera Wijaya0Tsun-Hua Yang1Department of Civil Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, TaiwanDepartment of Civil Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, TaiwanAn efficient inundation model is necessary for emergency flood responses during storm events. Cellular automata (CA)-based flood models have been proven to produce rapid results while maintaining a certain degree of accuracy. However, the need for computational resources dramatically increases when the number of grid cells increases. Digital elevation model (DEM)-based models generate results even faster, but the simplified governing equations within the models fail to reflect temporal flood evolution. To achieve rapid flood modeling while maintaining model simplicity, a novel two-dimensional hybrid inundation model (HIM) was developed by combining the CA- and DEM-based concepts. Given the temporal flood evolution generated by the CA concept, final finer-scale predictions were obtained by applying the DEM-based concept. The performance of this model was compared to those of widely used, physically based hydraulic models using three UK Environment Agency (EA) benchmark test cases. The HIM yielded consistent prediction results but was faster than the CA-based model. Finally, a comparison was made against flood observations, and the overall root mean squared error (RMSE) for flood depth was 0.388–0.400 m. Considering the uncertainty in the observed flood depths, the HIM shows promising potential to serve as an intermediate tool for emergency response in practical cases.https://www.mdpi.com/2073-4441/13/9/1311hybrid inundation modelurban floodcellular automataDEM-based |
| spellingShingle | Obaja Triputera Wijaya Tsun-Hua Yang A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment Water hybrid inundation model urban flood cellular automata DEM-based |
| title | A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment |
| title_full | A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment |
| title_fullStr | A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment |
| title_full_unstemmed | A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment |
| title_short | A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment |
| title_sort | novel hybrid approach based on cellular automata and a digital elevation model for rapid flood assessment |
| topic | hybrid inundation model urban flood cellular automata DEM-based |
| url | https://www.mdpi.com/2073-4441/13/9/1311 |
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