نتایج جستجو برای: extraction of drainage networks
تعداد نتایج: 21239837 فیلتر نتایج به سال:
Digital elevation models (DEMs) are a useful data source for the automatic delineation of flow paths, sub watersheds and flow networks for hydrologic modeling. Digital representation of the flow network is central to distributed hydrologic models because it encodes the model element linkages through which flow is routed to the outlet. The scale (drainage density) of the flow network, used contr...
Fractured carbonate reservoirs account for 25% of world’s total oil resources and for 90% of Iranian oil reserves. Since calcite and dolomite minerals are oil wet, gas oil gravity drainage (GOGD) is known as the most influencing production mechanism. The most important issue within gas injection into fractured media is the channeling problem which makes the efficiency of gas injection process e...
Morphotectonic investigations were carried out by the use of morphometric indices which serve as a tool of identification in regions with active tectonic warp. Landforms in active deformation area are produced from relations of tectonic and surficial processes. One of the most significant landforms underground is rivers that are extremely responsive to tectonic movements mainly uplift and tilti...
the present dissertation aims to investigate four-word lexical bundles in applied linguistics research articles by iranian and internationally-published writers. the aims of this study are two-fold: first of all, attempts have been made to create a comprehensive list of the most commonly used four-word lexical bundles categorized by their type and token frequency, their structural characteristi...
A novel algorithm with heuristic information for extracting drainage networks from raster DEMs W. Yang, K. Hou, F. Yu, Z. Liu, and T. Sun College of Computer Science, Northeast Normal University, Changchun, 130017, China College of Computer Science and Technology, Changchun Normal University, Changchun, 130032, China College of Computer Science and Technology, Jilin University, Changchun, 13001...
a study of changes in groundwater resources of najafabad plain is an important issue asregards water resources management, especially after dry becoming of zayandehroodriver. in the present study trend analysis was conducted on groundwater level of 33piezometeric stations, located in najafabad plain during 1374-1391 while using mann-kendall non-parametric test. the slope of trend line was estim...
The availability of both global and regional elevation datasets acquired by modern remote sensing technologies provides an opportunity to significantly improve the accuracy of stream mapping, especially in remote, hard to reach regions. Stream extraction from digital elevation models (DEMs) is based on computation of flow accumulation, a summary parameter that poses performance and accuracy cha...
The purpose of this study is to accurately measure the watershed potential for constructing rainwater harvesting structures. To carry out this research, the DEM digital-elevation model layer was used to prepare slope, hydrological soil groups and land use maps in the Arc GIS 10.3 software. The drainage density map was prepared by combining the DEM layer, topographic map, drainage density and hy...
Computer aided automatic Extraction of drainage networks from DEMs can promote the efficiency of regional water resource prospecting and assessment in GIS. Extracting drainage networks from raster DEMs is a necessary requirement in many applications of GIS, and determining surface water flow direction is a fundamental problem. In a raster environment, surface water flow direction of each cell c...
Hydrodynamic models are used to analyse water networks (water distribution, drainage, surface water, district heating, etc.). The non-linear nature of flows necessitates the use iterative solution methods in hydraulic modelling. This requires a relatively large computational effort. To reduce this effort, networks, network forcing and/or flow often simplified and analysed using Graph Theory. si...
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