We used remotely sensed weekly snow water equivalent (SWE) and snow cover extent (SCE) data to investigate streamflow response to seasonal snowcover change over the Yukon watershed. We quantified the seasonal cycles and variations of snowcover (both SWE and SCE) and river streamflow, and identified a clear correspondence of river discharge to seasonal snowcover change. We also examined and comp...

A better understanding of the effects of climate change and land use/cover change (LUCC) on streamflow promotes the long-term water planning and management in the arid regions of northwestern China. In this paper, the Soil and Water Assessment Tool (SWAT) and a separation approach were used to evaluate and separate the effects of climate change and LUCC on streamflow in the Xiying River basin. ...

The present paper deals with the study of the design of a recycling chain for a certain type of WEEE, the mobile phones. The goal is to analyse the optimal design of the logistics network required to guarantee that the amount of wasted mobile phones obtained at the generation points is collected, managed and transported in an appropriate way to the destination points constituted by recycling co...

The linehaul-feeder vehicle routing problem with virtual depots and time windows (LFVRPTW) is a new version of city logistics. Four important issues are explored and fifteen sample examples used for demonstration. First, the LFVRPTW always yields better results than the vehicle routing problem with time windows (VRPTW). Second, LFVRPTW is advantageous compared with VRPTW. Third, more virtual de...

Multicast routing is one of the most important services in Multi Radio Multi Channel (MRMC) Wireless Mesh Networks (WMN). Multicast routing performance in WMNs could be improved by choosing the best routes and the routes that have minimum interference to reach multicast receivers. In this paper we want to address the multicast routing problem for a given channel assignment in WMNs. The channels...

Rain gauges are widely used to obtain temporally continuous point rainfall records, which are then interpolated into spatially continuous data to force hydrological models. However, rainfall measurements and interpolation procedure are subject to various uncertainties, which can be reduced by applying quality control and selecting appropriate spatial interpolation approaches. Consequently, the ...

We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load sharing factors are updated using learning algorithms. The learning algorithms we employ are either based on learning automata or on online learning algorithms that were originally devised for solving the adversarial ...

Streamflow forecasting is an important factor in water resources planning and management. In this study Feed Forward Artificial Neural Network (FFANN) was used for monthly streamflow forecasting. Three scenarios were considered for modeling. Principal Component Analysis (PCA) is used for reducing the model architecture complexity and input data reduction. Twelve statistical criteria were used t...

The occurrence of flood and drought frequency is highly correlated with the temporal fluctuations of streamflow series; understanding of these fluctuations is essential for the improved modeling and statistical prediction of extreme changes in river basins. In this study, the complexity of daily streamflow fluctuations was investigated by using multifractal detrended fluctuation analysis (MF-DF...

Documenting the recovery of hydrologic functions following perturbations is important to addressing issues associated with land use change and ecosystem restoration. Floodplains on the Santee Experimental Forest were used historically for rice cultivation in the early 1700s; those areas now support bottomland hardwood forests typical of the region. Recently acquired LIDAR data for the Santee Ex...