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Integration of satellite data and spatial decision models for zoning new urban communities in El-Fayoum Desert
Arabian Journal of Geosciences ( IF 1.827 ) Pub Date : 2020-10-15 , DOI: 10.1007/s12517-020-06031-0
Hala A. Effat , Ahmed M. El-Zeiny

The current study adopts a spatial multidisciplinary approach for applying allocation models in zoning new urban sustainable communities in El-Fayoum Desert. Landsat 8 OLI imageries acquired in 2016, Shuttle Radar Topography Mission data, and thematic maps were utilized. Three spatial multicriteria sub-models were designed to create three criteria themes, namely, land resources, infrastructure, and environmental protection. The analytical hierarchy process and fuzzy sets were used for infrastructure and resources themes. The infrastructure theme was combined using weighted linear combination (WLC). The ordered weighted averaging (OWA) low-risk “AND” was used to combine the resources theme. The environmental protection theme was combined using the Boolean overlay model. The three themes (sub-models) were finally combined using equal weights to produce suitability index maps. OWA model was run on the combined (index) to test the different level of risk and trade-off between the factors. Results reveal that OWA model with minimum risk (AND) resulted in most optimum zones with total area equivalent to 58.33 km2. The WLC model (OWA medium risk) resulted in optimum zones of total area equivalent to 102.77 km2. The OWA maximum risk (OR) resulted in optimum zones with total area equivalent to 329.84 km2. The resultant maps were compared with the zones for new urban communities proposed by the General Organization for Physical Planning in its strategy for sustainable urban development of El-Fayoum. The comparison pointed out a reasonable agreement; in addition, results revealed more suitable locations that are recommended for future urban development.



中文翻译:

卫星数据和空间决策模型的集成,用于对法尤姆沙漠中的新城市社区进行分区

当前的研究采用空间多学科方法,将分配模型应用于法莫姆沙漠地区新的城市可持续社区的分区。于2016年获得Landsat 8 OLI图像,航天飞机雷达地形任务数据和专题图。设计了三个空间多标准子模型来创建三个标准主题,即土地资源,基础设施和环境保护。分析层次结构过程和模糊集用于基础结构和资源主题。使用加权线性组合(WLC)组合了基础架构主题。有序加权平均(OWA)低风险“ AND”用于组合资源主题。使用布尔覆盖模型将环境保护主题组合在一起。最后,使用相等的权重将这三个主题(子模型)组合在一起,以生成适用性指数图。在组合(索引)上运行OWA模型,以测试风险的不同级别以及因素之间的权衡。结果表明,具有最小风险(AND)的OWA模型导致了最佳区域,总面积等于58.33 km2。WLC模型(OWA中度危险)导致总面积的最佳区域等于102.77 km 2。OWA最大风险(OR)导致了总面积等于329.84 km 2的最佳区域。将得到的地图与总规划组织在其法尤姆可持续城市发展战略中建议的新城市社区区域进行了比较。比较指出了合理的协议。此外,结果还显示了建议用于未来城市发展的更合适的位置。

更新日期:2020-10-15
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