- author = "C. Sivapragasam and R. Maheswaran and Veena Venkatesh",
- title = "Genetic programming approach for flood routing in natural channels",
- journal = "Hydrological Processes",
- year = "2007",
- volume = "22",
- number = "5",
- pages = "623--628",
- keywords = "genetic algorithms, genetic programming, Muskingum method, flood routing",
-
DOI = "
doi:10.1002/hyp.6628",
- size = "6 pages",
- abstract = "In recognition of the non-linear relationship between storage and discharge existing in most river systems, non-linear forms of the Muskingum model have been proposed, together with methods to calibrate the model parameters. However, most studies have focused only on routing a typical hypothetical flood hydrograph characterised by a single peak. In this study, we demonstrate that the storage-discharge relationship adopted for the non-linear Muskingum model is not adequate for routing flood hydrographs in natural channels, which are often characterized by multiple peaks. As an alternative, an evolutionary algorithm-based modelling approach, i.e. genetic programming (GP), is proposed, which is found to route complex flood hydrographs accurately. The proposed method is applied for constructing a routing model for a channel reach along the Walla Walla River, USA. The GP model performs extremely well with a root-mean-square error (RMSE) of 0.73 m3/s as against an RMSE of 3.26 m3/s for routing the multi-peaked hydrograph. The advantage of GP lies in the fact that, unlike other models, it establishes the routing relationship in an easy and simple mathematical form.",
-
notes = "See also \cite{Alavi:2010:HP}.
Department of Civil Engineering, Mepco Schlenk Engineering College, Sivakasi 626 005, Tamilnadu State, India; Department of Civil Engineering, Kalasalingam University, Anand nagar, Krishnan Koil, Srivilliputtur (Taluk), Virudunagar (District), Tamilnadu - 626 190",
