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Comparative Analysis of Flood Estimation using Log-Pearson Type III and Gumbel Max Models in the Cauvery River, India

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May 9, 2024
Published Date

Research Abstract & Technology Focus

Flooding is one of the most destructive global disasters in scale, geographical extent, property and life loss, and population displacement. The Cauvery River is one of the flood vulnerable rivers in the Peninsular region of India. At-site flood frequency analysis is performed using flow data obtained at the Kodumudi gauged site in the Cauvery River. Log Pearson Type III and Gumbel Max distribution models are used in the present study to estimate peak floods for different return periods. The Central Water Commission provides the annual maximum discharge for the Kodumudi gauged site over 39 years (1980-2018). The goodness of fit test employing the Kolmogorov-Smirnov and Anderson- Darling tests, reveals that Log-Pearson Type III best estimates peak floods in the study area. The peak floods predicted by Log-Pearson Type III for return periods 2, 5, 10, 25, 50, 100, 200, and 500 years are approximately 929, 1886, 2998, 5303, 8002, 11929, 17633, and 29228 cumecs. Hydraulic structures can be designed in the region based on 100-year flood. The present research could help with flooding management approaches, vulnerability analyses, and hydraulic structure design in the study region.
comparative analysis flood estimation log-pearson gumbel
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This literature focuses on: Flooding is one of the most destructive global disasters in scale, geographical extent, property and life loss, and population displacement. The Cauvery River is one of the flood vulnerable rivers in the Peninsular region of India. At-site flood f...

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Yes, highly correlated activity was mapped. An entry titled 'Comparative Analysis of Flood Estimation using Log-Pearson Type III and Gumbel Max Models in the Cauvery River, India' discusses this: Flooding is one of the most destructive global disasters in scale, geographical extent, property and life loss, and population displacement. The Ca...

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Yes, highly correlated activity was mapped. An entry titled 'Assessing the spatiotemporal shifting of the Arpa river using remote sensing, GIS, and ARIMA for river morphology prediction' discusses this: River channel migration is a dynamic geomorphological process influenced by hydrological, geographic, and anthropogenic factors. Understanding rive...

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