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Identifying the Risk Areas and Urban Growth by ArcGIS-Tools

机译:通过ArcGIS-Tools识别风险区域和城市增长

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Abouelreesh is one of the most at risk areas in Aswan, Egypt, which suffers from storms, poor drainage, and flash flooding. These phenomena affect the urban areas and cause a lot of damage to buildings and infrastructure. Moreover, the potential for the further realization of dangerous situations increased when the urban areas of Abouelreesh extended towards the risk areas. In an effort to ameliorate the danger, two key issues for urban growth management were studied, namely: (i) estimations regarding the pace of urban sprawl, and (ii) the identification of urban areas located in regions that would be affected by flash floods. Analyzing these phenomena require a lot of data in order to obtain good results, but in our case, the official data or field data was limited so we tried to obtain it by accessing two kinds of free sources of satellite data. First, we used Arc GIS tools to analyze (digital elevation model (DEM)) files in order to study the watershed and better identify the risk area. Second, we studied historical imagery in Google Earth to determine the age of each urban block. The urban growth rate in the risk areas had risen to 63.31% in 2001. Urban growth in the case study area had been influenced by house sizes, because most people were looking to live in bigger houses. The aforementioned problem can be observed by considering the increasing average house sizes from 2001 until 2013, where, especially in risky areas, the average of house sizes had grown from 223 m 2 in 2001 to 318 m 2 in 2013. The findings from this study would be useful to urban planners and government officials in helping them to make informed decisions on urban development to benefit the community, especially those living in areas at risk from flash flooding from heavy rain events.
机译:阿布埃雷什(Abouelreesh)是埃及阿斯旺(Aswan)风险最高的地区之一,该地区遭受风暴,排水不畅和山洪暴发。这些现象影响城市地区,并严重破坏建筑物和基础设施。此外,当Abouelreesh市区向危险地区延伸时,进一步实现危险情况的可能性增加。为了缓解这种危险,研究了有关城市增长管理的两个关键问题,即:(i)关于城市扩张速度的估计,以及(ii)确定将受到山洪暴发影响的地区的城市地区。分析这些现象需要大量数据才能获得良好的结果,但是在我们的案例中,官方数据或现场数据是有限的,因此我们尝试通过访问两种免费的卫星数据源来获取这些数据。首先,我们使用Arc GIS工具分析(数字高程模型(DEM))文件,以便研究分水岭并更好地识别风险区域。其次,我们研究了Google Earth中的历史图像,以确定每个城市街区的年龄。风险地区的城市增长率在2001年上升到63.31%。案例研究区域的城市增长受到房屋面积的影响,因为大多数人都希望住在更大的房屋中。可以通过考虑2001年至2013年间平均房屋面积的增加来观察上述问题,特别是在危险地区,那里的平均房屋面积从2001年的223 m 2增加到2013年的318 m 2。对于城市规划者和政府官员来说,将有助于他们做出有关城市发展的明智决定,以使社区受益,尤其是那些生活在遭受暴雨事件山洪暴发威胁的地区的人们。

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