Hydrological Modeling Using Chicken Swarm Optimization Algorithm – Oued El Melah Case Study (NE of Algeria)
| Autor: | Sekkoum Mohamed, Oulad Naoui Noureddine, Cherif El Amine |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Ecological Engineering & Environmental Technology, Vol 25, Iss 8, Pp 109-119 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2719-7050 27197050 |
| DOI: | 10.12912/27197050/189306 |
| Popis: | The aim of this article is Hydrological modeling using Chicken Swarm Optimization Algorithm. Interactions between meteorological and hydrometric data been identified as a major conducting factor stationarity in rainfall-runoff relationships. The methodology used in this work is rainfall-runoff modeling is Chicken Swarm Optimization Algorithm. This approach based on randomly selection and chicken society behaivoir. For the efficiency evaluation of Chicken Swarm Optimization Algorithm, a variety of statistical parameters have been used with acceptable values of Nash–Sutclife Efciency (NSE) with 0.38% and Index of Agreement (IA) with 0.91% . The important and new results are the hydrological models (empirical models) adaptation to Algerian conditions especially in ungagged basins. Therefore, the proposal of the present modelling is a technique using the CSO method to model the rainfall-runoff relationship and discharge forecasting in the OUED EL MELAH basin located in GUELMA city. CSO proves to be a valuable model for studies of the rainfall and flood runoff response to protection of agglomerations against flooding risks projections. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|