A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Role of Morphometric Analysis in Accurate Flood Prediction
Flood prediction is crucial for effective disaster management as it allows authorities to take preventive measures and mitigate potential damages. The study highlights the significance of incorporating morphometric analysis, which involves examining parameters such as stream frequency, basin shape, and drainage density derived from Digital Elevation Models (DEMs) using Geographic Information Systems’ (GISs) software, into flood prediction models. It emphasizes that morphometric analysis is crucial for accurate flood prediction and effective disaster management. Drainage density serves as a key parameter in identifying flood-prone areas. Regions with high drainage density are more susceptible to floods compared to those with low drainage density. Stream frequency is also important, particularly for flash flooding, as areas with high stream frequency are more likely to experience sudden floods. Basin shape is a critical factor influencing flood prediction, with circular or elongated basins being less susceptible to flooding due to better water flow and sediment accumulation. The study underscores that incorporating morphometric parameters into flood prediction models enhances accuracy and reliability. By utilizing morphometric analysis, authorities can gain a comprehensive understanding of a river basin’s hydrological characteristics, enabling proactive measures to minimize flood risk and damage. It highlights how leveraging this analysis can provide valuable insights into a river basins characteristics, leading to improved flood prediction models and enabling the implementation of preventive measures to mitigate flood-related risks and damages.
Role of Morphometric Analysis in Accurate Flood Prediction
Flood prediction is crucial for effective disaster management as it allows authorities to take preventive measures and mitigate potential damages. The study highlights the significance of incorporating morphometric analysis, which involves examining parameters such as stream frequency, basin shape, and drainage density derived from Digital Elevation Models (DEMs) using Geographic Information Systems’ (GISs) software, into flood prediction models. It emphasizes that morphometric analysis is crucial for accurate flood prediction and effective disaster management. Drainage density serves as a key parameter in identifying flood-prone areas. Regions with high drainage density are more susceptible to floods compared to those with low drainage density. Stream frequency is also important, particularly for flash flooding, as areas with high stream frequency are more likely to experience sudden floods. Basin shape is a critical factor influencing flood prediction, with circular or elongated basins being less susceptible to flooding due to better water flow and sediment accumulation. The study underscores that incorporating morphometric parameters into flood prediction models enhances accuracy and reliability. By utilizing morphometric analysis, authorities can gain a comprehensive understanding of a river basin’s hydrological characteristics, enabling proactive measures to minimize flood risk and damage. It highlights how leveraging this analysis can provide valuable insights into a river basins characteristics, leading to improved flood prediction models and enabling the implementation of preventive measures to mitigate flood-related risks and damages.
Role of Morphometric Analysis in Accurate Flood Prediction
Lecture Notes in Civil Engineering
Agnihotri, Arvind Kumar (editor) / Reddy, Krishna R. (editor) / Bansal, Ajay (editor) / Raheja, Gourav (author) / Singh, Davinder (author) / Kumar, Sanjeev (author)
International Conference on Environmental Geotechnology, Recycled Waste Materials and Sustainable Engineering ; 2023 ; Jalandhar, India
2024-06-25
11 pages
Article/Chapter (Book)
Electronic Resource
English
Effects of morphometric characteristics on flood in Degirmendere sub-watersheds, Northeastern Turkey
| Taylor & Francis Verlag | 2023