Risk assessment of urban network using traffic indicators determines vulnerable links with high danger of traffic incidents. Thus Determination of an appropriate methodology remains a big challenge to achieve this objective. This paper proposed a methodology based on data fusion concept using Fuzzy-AHP and TOPSIS to achieve this aim. The proposed methodology tries to overcome two main problems,...

Regarding the increase in needs of human societies to agricultural products, increasing water use efficiency can lead to persistent use of limited water resources. Therefore, in this study using Data Envelopment Analysis (DEA), technical, allocative, managerial and economic efficiency and also Optimal level of inputs is surveyed in order to achieve maximum Efficiency in Marvdasht city in 20...

summery output of global climatic scenarios resulted from large-scale predictions (usually 125 to 500 km network) of gsm models are not appropriate for important applications. because small-scale spatial variability due to factors such as land cover, topography, etc., has a significant impact on climatic variables of desired area and some processes such as runoff are sensitive to this variabili...

Continuous simulations from the middle of 20th century to end 21st were performed using a 20-km atmospheric general circulation model (AGCM), and 60-km AGCM with dynamical downscaling via regional climate (RCM), explore transitional changes in extreme events. The representative scenario by AGCMs followed protocol High Resolution Model Intercomparison Project experiments. In addition, ensemble f...

High-resolution snow distributions are essential for studying cold regions. However, the temporal and spatial resolutions of current remote sensing snow maps remain limited. Remotely sensed snow cover fraction (SCF) data only provide quantitative descriptions of snow area proportions and do not provide information on subgrid-scale snow locations. We present a downscaling method based on simulat...

BACKGROUND Integrative analysis between dynamical modeling of metabolic networks and data obtained from high throughput technology represents a worthy effort toward a holistic understanding of the link among phenotype and dynamical response. Even though the theoretical foundation for modeling metabolic network has been extensively treated elsewhere, the lack of kinetic information has limited t...

Data disaggregation (or downscaling) is becoming a recognized modeling framework to improve the spatial resolution of available surface soil moisture satellite products. However, depending on the quality of the scale change modeling and on the uncertainty in its input data, disaggregation may improve or degrade soil moisture information at high resolution. Hence, defining a relevant metric for ...