rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. in this study statistical method armax model, neural network, neuro-fuzzy (anfis subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate rainfall-runoff and prediction of streamflow. in each method optimum structure was deter...

Design flood estimation is often required in hydrologic practice such as design of hydraulic structures and flood plain management. In flood estimation, use of rainfall runoff models is frequently adopted which convert selected rainfall events into the corresponding streamflow events. In Australia, runoff routing model is frequently adopted as the preferred method of rainfall runoff modeling. T...

Kuo-Lin Hsu Center for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering, University of California Irvine, Irvine CA 92697-2175, USA Tel.: +1 949 824 8826 Fax: +1 949 824 8831 E-mail: [email protected] Sequential Monte Carlo (SMC) methods are known to be very effective for the state and parameter estimation of nonlinear and non-Gaussian systems. In this study,...

Quantifying the long term impacts of climate and land cover change on streamflow is of great important for sustainable water resources management in inland river basins. The Soil and Water Assessment Tool (SWAT) model was employed to simulate the streamflow in the upper reaches of Heihe River Basin, northwestern China, over the last half century. The Sequential Uncertainty Fitting algorithm (SU...

Accurate streamflow predictions are crucial for mitigating flood damage and addressing operational flood scenarios. In recent years, sequential data assimilation methods have drawn attention due to their potential to handle explicitly the various sources of uncertainty in hydrologic models. In this study, we implement two ensemble-based sequential data assimilation methods for streamflow foreca...

The ultimate goal of routing in wireless mesh networks (WMNs) is to find the “good” paths between the source and destination. Considering of the characteristics of this new networking paradigm, such as low mobility and less restriction from the energy effect, the focus is on the design and optimization of the technology to establish the path that can reflect this network feature. In this paper,...

Agricultural pollutant runoff is a major source of water contamination in California’s Sacramento River watershed where 8500 km of agricultural land influences water quality. The Soil and Water Assessment Tool (SWAT) hydrology, sediment, nitrate and pesticide transport components were assessed for the Sacramento River watershed. To represent flood conveyance in the area, the model was improved ...

This paper assesses the detectability of changes in global streamflow. First, a statistical detection method is applied to observed (no missing data which represent 42 % of global discharge) and reconstructed (gaps are filled in order to cover a larger area and about 60 % of global discharge) streamflow. Observations show no change over the 1958–1992 period. Further, an extension to 2004 over t...

Deadlock is a critical problem of any wormhole network. Algorithms have been developed to avoid or recover from deadlocks. In existing approaches for deadlockfree routing any possibility of deadlock occurrence is eliminated, which can result in putting extra restrictions on the routing or put no restrictions on routing, which leads to other approach namely deadlock recovery. In this paper we ar...

Calibration of model is critical for hydrologic modeling of large watersheds in a mountain watershed. In this study Soil and Water Assessment Tool (SWAT) used to comparison a single-site calibration procedure that employed streamflow measurement at outlet of watershed to a multi-site calibration method that used streamflow measurements at three stations (Galinak, Joestan and Dehdar). Results sh...