Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017WR022318 |
DEM Resolution Effects on Coastal Flood Vulnerability Assessment: Deterministic and Probabilistic Approach | |
Fereshtehpour, M.1,2; Karamouz, M.2 | |
2018-07-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:7页码:4965-4982 |
文章类型 | Article |
语种 | 英语 |
国家 | Iran; USA |
英文摘要 | Flood modeling is highly influenced by topography data set. Lower resolution digital elevation models (DEMs) are usually used because of their availability and less computational burden when they are used in modeling applications. However, low accuracy of these DEMs yields to even lower accuracy in flood risk analysis through spatial modeling. This study aims to explore the DEM resolution effects on coastal flood risk assessments. For this purpose, deterministic and probabilistic approaches are employed for flood inundation modeling utilizing hydrologically connected bathtub method. High-resolution light detection and ranging (LiDAR) DEM is considered as the most accurate data from which different resolution maps are obtained using resampling techniques. This is incorporated into an error analysis framework along with U.S. Geological Survey (USGS) National Elevation Dataset (NED) DEMs. The probabilistic framework is developed by simulating the spatial variability of elevation errors compared to LiDAR DEM through a Monte Carlo-based method called sequential Gaussian simulation. The proposed methodology is applied to the lower Manhattan in New York City. By integrating the flood model into the developed framework, flood inundation probability at each grid cells is obtained. Furthermore, using the concept of accuracy-efficiency tradeoffs, a framework for selecting a suitable spatial resolution for probabilistic flood risk assessment has been suggested. The results show that by exercising a range of options presented in this paper, a broader insight into mapping resolution can be provided, improving flood assessment, evacuation zones, and mitigation plans depending upon the data availability in a region. |
英文关键词 | DEM resolution bathtub model inundation map kriging map accuracy sequential Gaussian simulation |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000442502100044 |
WOS关键词 | DIGITAL ELEVATION MODEL ; SEA-LEVEL RISE ; ERROR PROPAGATION ; SPATIAL DATABASES ; UNCERTAINTY ; ACCURACY ; IMPACT ; TERRAIN ; LIDAR ; DELINEATION |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21936 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Tehran, Sch Civil Engn, Tehran, Iran; 2.Univ Utah, Dept Civil & Environm Engn, Salt Lake City, UT 84112 USA |
推荐引用方式 GB/T 7714 | Fereshtehpour, M.,Karamouz, M.. DEM Resolution Effects on Coastal Flood Vulnerability Assessment: Deterministic and Probabilistic Approach[J]. WATER RESOURCES RESEARCH,2018,54(7):4965-4982. |
APA | Fereshtehpour, M.,&Karamouz, M..(2018).DEM Resolution Effects on Coastal Flood Vulnerability Assessment: Deterministic and Probabilistic Approach.WATER RESOURCES RESEARCH,54(7),4965-4982. |
MLA | Fereshtehpour, M.,et al."DEM Resolution Effects on Coastal Flood Vulnerability Assessment: Deterministic and Probabilistic Approach".WATER RESOURCES RESEARCH 54.7(2018):4965-4982. |
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