Development of a Fuzzy Flood Forecasting Model for Downstream of Hirakud Reservoir of Mahanadi Basin, India
| Autor: | A. K. Lohani, Anil Kumar Kar, N. K. Goel, G. P. Roy |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Soft computing
Hydrology geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Flood myth Flood forecasting 0207 environmental engineering Drainage basin 02 engineering and technology Structural basin 01 natural sciences Fuzzy logic Downstream (manufacturing) 020701 environmental engineering Membership function Geology 0105 earth and related environmental sciences |
| Zdroj: | River System Analysis and Management ISBN: 9789811014710 |
| DOI: | 10.1007/978-981-10-1472-7_11 |
| Popis: | Floods occurring at delta of Mahanadi are mostly due to contribution of downstream catchment of Hirakud reservoir of Mahanadi basin. Controlling flood through other structural measures is inadequate and difficult. The downstream part is devoid of a sound flood forecasting method. In order to protect the life and property, a nonstructural measure like a workable flood forecasting model is needed to mitigate the destruction at delta by enhancing appropriate and timely relief measures. Establishment of a physical base model requires a lot of meteorological and physical information of the catchment. When such detailed information or data are not available, an alternative method based on soft computing technique may play an important role. Therefore, in this paper, a soft computing-based flood forecasting model using fuzzy inference system is attempted at Mundali station in Mahanadi river and the results compared with observed values. The input and output peaks are grouped into low, medium, high, medium high, and very high categories and operated by nine fuzzy rules. |
| Databáze: | OpenAIRE |
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