High-accuracy coastal flood mapping for Norway using lidar data
| Autor: | Matthew J. R. Simpson, Oda Ravndal, Kristian Breili, Erlend Klokkervold |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:GE1-350
010504 meteorology & atmospheric sciences Flooding (psychology) lcsh:QE1-996.5 Elevation lcsh:Geography. Anthropology. Recreation Storm surge Terrain Post-glacial rebound 010501 environmental sciences 01 natural sciences lcsh:TD1-1066 lcsh:Geology Lidar lcsh:G General Earth and Planetary Sciences Environmental science Physical geography lcsh:Environmental technology. Sanitary engineering Coastal management Coastal flood lcsh:Environmental sciences 0105 earth and related environmental sciences |
| Zdroj: | Natural Hazards and Earth System Sciences, Vol 20, Pp 673-694 (2020) |
| ISSN: | 1684-9981 |
| Popis: | Using new high-accuracy light detection and ranging (lidar) elevation data we generate coastal flooding maps for Norway. Thus far, we have mapped ∼80 % of the coast, for which we currently have data of sufficient accuracy to perform our analysis. Although Norway is generally at low risk from sea level rise largely owing to its steep topography and land uplift due to glacial isostatic adjustment, the maps presented here show that, on local scales, many parts of the coast are potentially vulnerable to flooding. There is a considerable amount of infrastructure at risk along the relatively long and complicated coastline. Nationwide we identify a total area of 400 km2, 105 000 buildings, and 510 km of roads that are at risk of flooding from a 200-year storm surge event at present. These numbers will increase to 610 km2, 137 000, and 1340 km with projected sea level rise to 2090 (95th percentile of RCP8.5 as recommended in planning). We find that some of our results are likely biased high owing to erroneous mapping (at least for lower water levels close to the tidal datum which delineates the coastline). A comparison of control points from different terrain types indicates that the elevation model has a root-mean-square error of 0.26 m and is the largest source of uncertainty in our mapping method. The coastal flooding maps and associated statistics are freely available, and alongside the development of coastal climate services, will help communicate the risks of sea level rise and storm surge to stakeholders. This will in turn aid coastal management and climate adaptation work in Norway. |
| Databáze: | OpenAIRE |
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