this study aims at identifying the suitable areas for ecotourism using geographic information system (gis) and analytical hierarchy process (ahp) in experimental and educational kheyroud forest, nowshar, mazandaran province. the evaluation process was conducted based on three groups including ecological, infrastructural, and socio-economic criteria. then, the indicators of each main groups were...

Forest modeling applications that cover large geographic areas can benefit from the use of widely-held knowledge about relationships between forest attributes and topographic variables. A noteworthy example involves the coupling of field survey data from the Forest Inventory Analysis (FIA) program of USDA Forest Service with digital elevation model (DEM) data in attempts to explain how topograp...

The traditional slope stability analysis used the Factor of Safety (FS) from the Limit Equilibrium Theory as the determinant. If the FS was greater than 1, it was considered as “safe” and variables or parameters of uncertainty in the analysis model were not considered. The objective of research was to analyze the stability of natural slope, in consideration of characteristics of rock layers and...

Model patchy particles have been shown to be able form a wide variety of structures, including symmetric clusters, complex crystals, and even two-dimensional quasicrystals. Here, we investigate whether can design that three-dimensional quasicrystals, in particular targeting quasicrystal with dodecagonal symmetry is made up stacks quasicrystalline layers. We obtain two designs are such annealing...

This study describes objective analysis of the atmospheric conditions that precede or accompany severe thunderstorms and tornadoes. The data used are standard rawinsonde observations and hourly surface reports as they are transmitted over teletypewriter. In analyzing upper air data, spherical coordinates are used with grid points 2%" of lat. and long. apart. Hourly observations are analyzed on ...

Semantic Segmentation using deep convolutional neural network pose more complex challenge for any GPU intensive work, as it has to compute million of parameters resulting to huge consumption of memory. Moreover, extracting finer features and conducting supervised training tends to increase the complexity furthermore. With the introduction of Fully Convolutional Neural Network, which uses finer ...

Soil salinity is one of the problems threatening agricultural lands. Parts of this phenomenon are related to geologic formations and saltpans, while some major factors are resulted from irrelevant agricultural activities, issue of irrigation, and improper cultivation systems which lead to increase in soil salinity. To avoid such consequences that would end up with ecosystem degradation, suitabl...

First-order, second-moment (FOSM) approximations of limit equilibrium slope stability equations can be combined with digital elevation models to perform spatially distributed probabilistic landslide hazard analyses. This is most easily accomplished using the infinite slope idealization, which is the basis of many published reconnaissance-level slope stability assessments. Comparisons of FOSM an...

Modelling the presence and effect of a thin weak layer soil or rock in slope stability analysis performed through finite element method (FEM) presents several problems purely numerical nature. This paper deals with parametric three different 2D case studies (both ideal real) unstable potentially slopes containing soft band (or layer). The FEM software used is RS2 (Rocscience®). aim investigatin...