Soft Computing techniques for Rainfall Runoff modeling: A Review
Rainfall Runoff models are dependent on the physiographic, climatic and biotic characteristics of the basin. These factors induce either a linear, non linear or highly complex behaviour among the rainfall and runoff parameters. Rainfall Runoff relations are unstructured nature which diverted the attention of researchers towards Soft Computing tools for reasoning, consciousness, intuition and wisdom possessed by human beings. These are multi disciplinary field uses a diversely of statistical, optimization and probabilistic tools which complement each other to produce its three main branches viz. Fuzzy Logic, Artificial Neural Networks and Genetic Algorithms. Soft computing techniques either complementing each other or working on their own. They are able to model complex or unknown relationships which are either nonlinear or noisy. These review paper explains an introduction to these techniques and discusses their applications in modeling Rainfall Runoff relations replaces time consuming conventional mathematical techniques with intelligent and time saving computing tools. Keywords Artificial neural networks, fuzzy logic, genetic algorithms, hybrid soft computing, Rainfall runoff modeling, soft computing.