Physically based regional scale hydrologic modeling is gaining importance for planning and management of water resources. Calibration and validation of such regional scale model is necessary before applying it for scenario assessment. However, in most regional scale hydrologic modeling, flow validation is performed at the river basin outlet without accounting for spatial variations in hydrologi...

We present a new methodology, spatially constrained inversion SCI , that produces quasi-3D conductivity modeling of electromagnetic EM data using a 1D forward solution. Spatial constraints are set between the model parameters of nearest neighboring soundings. Data sets, models, and spatial constraints are inverted as one system. The constraints are built using Delaunay triangulation, which ensu...

In this paper, the spatial correlations of ionospheric day-to-day variability are investigated by statistical analysis on GPS and Incoherent Scatter Radar observations. The meridional correlations show significant (>0.8) correlations in the latitudinal blocks of about 6 degrees size on average. Relative larger correlations of TEC’s day-to-day variabilities can be found between magnetic conjugat...

transformation of land use-land cover change occurs due to the numbers and activities of people. urban growth modeling has attracted authentic attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made. this study applied logistic regression to model urban growth in the ahvaz metropolitan area of khuzestan province in idrisi selva software a...

consideration of the current-voltage (i-v) characteristics variations of solar modules with temperature and irradiations variations is basic for maximum power point tracking (mppt). having a simple and accurate mathematical model for the optimize utilization of the solar modules is essential. in this paper, a novel modeling of photovoltaic systems with novel coefficients is proposed for mathema...