...
首页> 外文期刊>Natural hazards and earth system sciences >Coupling scenarios of urban growth and flood hazards along the Emilia-Romagna coast (Italy)
【24h】

Coupling scenarios of urban growth and flood hazards along the Emilia-Romagna coast (Italy)

机译:艾米利亚-罗马涅海岸(意大利)沿线城市发展与洪水灾害的耦合情景

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The extent of coastline urbanization reduces their resilience to flooding, especially in low-lying areas. The study site is the coastline of the Emilia-Romagna region (Italy), historically affected by marine storms and floods. The main aim of this study is to investigate the vulnerability of this coastal area to marine flooding by considering the dynamics of the forcing component (total water level) and the dynamics of the receptor (urban areas). This was done by comparing the output of the three flooding scenarios (10, 100 and >100 year return periods) to the output of different scenarios of future urban growth up to 2050. Scenario-based marine flooding extents were derived by applying the Cost-Distance tool of ArcGIS (R) to a high-resolution digital terrain model. Three scenarios of urban growth (similar-to-historic, compact and sprawled) up to 2050 were estimated by applying the cellular automata-based SLEUTH model. The results show that if the urban growth progresses compactly, flood-prone areas will largely increase with respect to similar-to-historic and sprawled growth scenarios. Combining the two methodologies can be useful for identification of flood-prone areas that have a high potential for future urbanization, and is therefore crucial for coastal managers and planners.
机译:海岸线城市化的程度降低了其抗洪能力,特别是在低洼地区。研究地点是艾米利亚-罗马涅地区(意大利)的海岸线,历来受到海洋风暴和洪水的影响。这项研究的主要目的是通过考虑强迫分量的动态(总水位)和受体的动态(城市地区)来研究该沿海地区对海洋洪水的脆弱性。通过将三种洪水情景(10年,100年和> 100年的回报期)的输出与到2050年未来城市增长的不同情景的输出进行比较,可以得出这一结论。 ArcGIS(R)到高分辨率数字地形模型的距离工具。通过应用基于元胞自动机的SLEUTH模型,估计了到2050年城市发展的三种情景(类似于历史,紧凑和蔓延)。结果表明,如果城市增长步伐紧凑,那么相对于历史悠久且蔓延的增长情景,易发生洪水的地区将大大增加。将这两种方法结合起来,对于识别未来城市化潜力很大的易发洪水地区非常有用,因此对于沿海管理者和规划者而言至关重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号