Suburban areas are subject to strong anthropogenic modifications, which can influence hydrological processes. Sewer systems, ditches, sewer overflow devices and retention basins are introduced and large surface areas are sealed off. The knowledge of accurate flow paths and watershed boundaries in these suburban areas is important for storm water management, hydrological modelling and hydrologic...

Selecting an optimum number of calibration sites for hydrological modeling is challenging. Modelers often spend a lot of time and effort on trial and error because there is no guide. We propose a novel entropy method to automate the selection of the optimum combination of calibration sites. To illustrate, the proposed entropy method is applied using discharge data from one river basin in Korea....

Current regionalization techniques for conceptual rain-fall runoff models employ linear/nonlinear regression functions. The model parameters are described as functions (assumed a priori) of catchment descriptors. As the hydrological system is highly non-linear and complex, no single parametric function can be a holistic or near-reality representation of the core underlying processes. In this pa...

The embedding dimension and the number of nearest neighbors are very important parameters in the prediction of a chaotic time series. In order to reduce the uncertainties in the determination of the forgoing two parameters, a new adaptive local linear prediction method is proposed in this study. In the new method, the embedding dimension and the number of nearest neighbors are combined as a par...

Abstract Models with coefficients which change with time can be developed by using Kalman filter techniques and these have been applied to model river flow, rainfall and other hydrological time series. However, application of Kalman filter techniques requires assumptions about the statistics of processes and state variables which may depend on unknown factors, and these assumptions may not be v...

Copula functions have been extensively used to describe the joint behaviors of extreme hydrological events and to analyze hydrological risk. Advanced marginal distribution inference, for example, the maximum entropy theory, is particularly beneficial for improving the performance of the copulas. The goal of this paper, therefore, is twofold; first, to develop a coupled maximum entropy-copula me...

Multivariate statistics are commonly used to identify the factors that control the dynamics of runoff or sediment yields during hydrological processes. However, one issue with the use of conventional statistical methods to address relationships between variables and runoff or sediment yield is multicollinearity. The main objectives of this study were to apply a method for effectively identifyin...

This paper uses the results of river suspended sediment flux (SSF) analysis to propose a new hydrological method for quantitatively estimating the river bed and drainage basin (sheet erosion, rill and gully erosion) components of total erosion intensity in river basins. The suggested method is based on the establishment of the functional power connection between mean monthly water discharges (W...

In this paper, the modeling is based on division of the catchment into a grid mesh. Each cell has a unique response function independent of the functioning of other cells Summation of the flow responses from the cells, result the flow hydrograph from this area basin.A method is presented to simulation the flow hydrograph within a river basin using the hydrological model WetSpa. WetSpa is a GIS-b...