this paper describes a simple, physically-based conceptual model utilizing watershed drainage characteristics for rainfall-runoff simulation. this conceptual physiographic model is essentially based on the work of najafi (2003), which has led to a model compris-ing the main tributary subwatersheds and a single main channel subwatershed. the ki-nematic wave (kw) theory is used to describe flow o...

In this paper, we analyze dynamics of runoff data from actual hydrologic station on the basis of the chaos theory. Through analyzing Characteristics of power spectrum, geometric structure of attractors and calculating Lyapunov index, it confirmed that actual runoff has chaos dynamics behavior. Local prediction model based on chaotic runoff data is inferior for heavy computation load and poor ac...

Jharkhand state is characterized by plateau terrain and facing sever water scarcity largely on account of high runoff generated by adequate annual rainfall of about 1400mm per year. The run-off is one of the important hydrologic variables used for assessment of potential water yield of a watershed and appropriate measures for ground water recharging. The quantity and rate of runoff is influence...

A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modeling. evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers. Expert Systems with Applications 39, 1354-1361.

One way of computing the probability of a specific voting situation under the Impartial Anonymous Culture assumption is via counting integral points in polyhedra. Here, Ehrhart theory can help, but unfortunately the dimension and complexity of the involved polyhedra grows rapidly with the number of candidates. However, if we exploit available polyhedral symmetries, some computations become poss...