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A thematic mapping method to assess and analyze potential urban hazards and risks caused by flooding

机译:一种评估和分析潜在城市灾害和洪水风险的主题测绘方法

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About 30% of the total global economic loss inflicted by natural hazards is caused by flooding. Among them, the most serious situation is urban flooding. Urban impervious surface enhances storm runoff and overwhelms the drainage capacity of the storm sewer system, while the urban socioeconomic characteristics most often exacerbate them even more vulnerable to urban flooding impacts. Currently, there is still a significant knowledge gap of comparable assessment and understanding of minority's and non-minority's vulnerability. Therefore, this study designs a quantitative thematic mapping method-location quotient (LQ), using Birmingham, Alabama, USA as the study area. Urban residents' vulnerability to flooding is then analyzed demographically using LQ with census data. Comparing with the widely used social vulnerability index (SW), LQ is more robust, which not only provides more detailed measurements of both the minority's and the White's vulnerability, but also shows a direct comparison for all populations with finer information about their potential spatial risk assessment. Although SVI showed the Shades Creek is the most vulnerable area with a SVI value above 0.75, only 228 Hispanic people and 2290 African-American live there that is not a significant aggregation of minorities in Birmingham; however, a total White population 12,872 is identified by LQ with a significant aggregation in the Shades Creek. Overall, LQ suggests that the White populations are highly and significantly concentrated in the flood areas, while SW never considered the White as vulnerable. LQ further indicates that the concentration of minorities (i.e., 88,895) and vulnerable houses (i.e., 26,235) are much higher compared to the numbers of the minorities and houses indicated by SVI, which are only 11,772 and 8323, respectively. The LQ based thematic mapping, as a promising method for vulnerability assessment of urban hazards and risks, can make a significant contribution to hazard management efforts to reduce urban vulnerability and hence enhance urban resilience to hazards in the future.
机译:大约30%的全球经济损失造成的自然灾害造成的洪水洪水造成。其中,最严重的情况是城市洪水。城市不透水表面增强了风暴径流,压倒了暴雨下水道系统的排水能力,而城市社会经济特征最常见于其易受城市洪水影响更容易受到影响。目前,对少数群体和非少数群体脆弱性的可比评估和理解仍有重要知识差距。因此,本研究设计了使用伯明翰,阿拉巴马州,美国作为研究区域的定量专题映射方法 - 定位方法 - 定位的商​​(LQ)。然后在使用人口普查数据的情况下在人口统计学地分析城市居民的漏水脆弱性。与广泛使用的社交漏洞指数(SW)相比,LQ更加强大,这不仅提供了更详细的少数群体和白人漏洞的测量,而且还显示了对所有有关其潜在空间风险的更精细信息的所有群体的直接比较评估。虽然SVI表明阴影溪是最脆弱的地区,但SVI值高于0.75,只有228名西班牙裔人和2290名非洲裔美国人住在那里,这不是伯明翰少数群体的重要汇总;然而,通过LQ鉴定了总白人12,872,在阴暗溪中具有显着的聚集。总体而言,LQ建议白人群体在洪水领域高度且显着集中,而SW从未将白人视为脆弱的群体。 LQ进一步表明,与SVI所示的少数群体和房屋的数量相比,少数群体(即,88,895)和弱势房屋(即26,235)的浓度分别远远高得多。基于LQ的主题映射,作为城市灾害和风险的脆弱性评估的有希望的方法,可以对降低城市脆弱性的危险管理努力做出重大贡献,从而增强未来的危害城市恢复力。

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