DOI: 10.1007/s11069-020-04099-1
论文题名: Environmental damage associated with severe hydrologic events: a LiDAR-based geospatial modeling approach
作者: Kiaghadi A. ; Govindarajan A. ; Sobel R.S. ; Rifai H.S.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 103, 期: 3 起始页码: 2711
结束页码: 2729
语种: 英语
中文关键词: Chemical spill
; Floodplains
; GIS
; Hurricanes
; Resilience
; Risk
; Satellite imagery
; Superfund sites
; Vulnerability
英文关键词: environmental impact
; extreme event
; flood damage
; floodplain
; GIS
; infrastructure
; lidar
; rainfall
; spatial analysis
英文摘要: Increasingly, extreme hydrologic events are causing flooding and infrastructure damages in excess of one billion dollars per event. Hurricane storm surge is most frequently implicated; however, rainfall dominated events may have more damaging and costly impacts. Additionally, the environmental impacts and consequences of such events are not often considered in estimates of flood damage or in mitigation efforts. This paper integrates geographic information systems, floodplain analysis, observed flood level data, and public sources of pollutant releases to describe the environmental impacts of severe hydrologic events and identify infrastructure vulnerabilities with an emphasis on environmental facilities. Observed high water marks from recent significant flooding events, coupled with LiDAR data, were used to create high-resolution inundation maps. The degree of inundation of facilities with the potential to cause environmental impacts, such as wastewater treatment facilities, landfills, and Superfund sites, was modeled. The results indicated that rainfall-based flooding events could cause substantially more inundation of environmental facilities compared to surge-based flooding. Additionally, 100 and 500-year floodplain mapping was not sufficient to identify facilities at risk of inundation or spillage. The results from the study enable the determination of locations and facilities that are highly susceptible to environmental pollution due to flooding that would be candidates for increased resilience planning. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168563
Appears in Collections: 气候变化与战略
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作者单位: Civil and Environmental Engineering, University of Houston, 4726 Calhoun, Houston, TX 77204-4003, United States; CDM Smith, 11490 Westheimer, Suite 700, Houston, TX 77077, United States
Recommended Citation:
Kiaghadi A.,Govindarajan A.,Sobel R.S.,et al. Environmental damage associated with severe hydrologic events: a LiDAR-based geospatial modeling approach[J]. Natural Hazards,2020-01-01,103(3)