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Regional planning is currently one of the pillars of the state and a measure of its development, because planning works to show the current or the future problems, and puts the appropriate solutions. So there is no doubt that the population is the main goal of any planning process by ensuring the various requirements of life for the increasing number of them year after year. Finding adequate housing is therefore one of the first steps in the planning process. The problem of population growth is one of the most prominent problems facing countries at present time. This is evident in city centers, which results in many problems such as informal housing. In this study, we had a spatial study to determine the best location for establishing a new city in order to accommodate the increasing number of population within the Lattakia Governorate (Syrian Arab Republic), and we also achieved a population study in order to determine the future population growth. Geographic information systems (GIS) have proven its efficiency in spatial and descriptive data management and analysis, so they have been relied upon to determine the appropriate places for urban expansion based on a set of criteria collected from a range of research that affect the selection process of these areas, through spatial analysis tools within the GIS software to reach the appropriate areas of expansion to accommodate the expected population growth.
This research aimed for using Geographic Information System (GIS) in producing Digital Elevation Model (DEM) for Dimas District, By applying various methods: Spatial Analyst, Geo Statistical Analyst, Triangulated Irregular Network (TIN), and interp olating DEM from contour lines. The study showed that the best methods for interpolating DEM is Kriging method, Which interpolated an evaluated surface for scattered points which had (Z values) whether they were closed or scattered from each other. And (TIN) method which required less area on hard disc to be stored comparing with other methods, and it's perfect for representing surfaces in wide areas, Also generating DEM from contour lines produced DEM which had very accurate representing for surfaces.
Free and Open Source software (FOSS) is one of computer software, which source code can be accessed, freely used, modify, and distribute by anyone. It is produced by many of people or organizations, and distributed under licenses that comply with the open source definition. This software has recently begun to play an important role in the academic and scientific research field, as in the professional field. In the past few decades, Geographic Information Systems (GIS) has seen very high growth rate, and this development included each of commercial and open source GIS software. This research aims to show the great potential of Free and Open Source Geographic Information Systems (FOSS_GIS), and motivating to adopt it in developing countries, as a means to reduce licensing costs, promote local technological development through access to the source code and developing these systems. A case study is taken, in which we have tried to highlight the most important advantages of this software (i.e. FOSS_GIS), such as ease of implementation and good use, the ability to analyze and display of spatial data, professional maps production, and functionality emulator to commercial GIS software. The case study included the methodology of spatial suitability analysis, which is one of the main tasks of GIS; this methodology has been applied to choose the optimal site of urban project in Sheikh Badr area (Tartous Governorate) by proposing a set of general conditions. Using optimal site selection analysis of urban project helps to avoid the indiscriminate expansion and the irregular land-use. The free and open source software QGIS was used in this research, as well as the algorithms and tools of GRASS and SAGA softwares. Key Words: FOSS_GIS, spatial analysis, QGIS, optimal site selection, Sheikh Bader area
Solid waste management is a complex problem facing decision makers in Tartous, especially in the process of selecting appropriate of solid waste land fill sites, because of the nature of the province that rich in natural resources and high populati on density. There is a large number of large landfills that aren’t in convenient locations, and affect to neighboring regions environment, adversely affect to the social life in the surrounding communities. In this research we identified the criteria that will be on the basis of evaluation of the locations of these landfills to achieve environmental, social and economic conditions. GIS was used to produce maps for each classification criterion separately to evaluate the landfills according to each criterion, in order to extract information from weighted map to get the appropriate locations. The study concluded that landfills sites unrealized for the majority of the standards, and to get a map showing the optimum locations of 18 sites with combined areas doesn’t exceed 0,012% of the total study area.
This essay displays one of probabilities at Geographical Information System (GIS) as a decision support system to select the best way to carry project's remainders (excavations and garbage of works), in addition to observing topographic character istics of the study area and the nature of roads which are existed formerly and imposed bonds at the movement of machines as free as possible, As a result, we will obtain the saving economical way to carry, which is a tied goal equation with groups of related bonds about the actual of different ways, and that is accomplished by Geographical Information System. Therefore, it is possible to consider this system as a help tool to improve the effective of approval decision to shorting time at engineering projects.
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