Next Article in Journal
Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data
Next Article in Special Issue
Study of the Effect of Temporal Sampling Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part II): Cloud Coverage
Previous Article in Journal
Assessment of the Impact of Reservoirs in the Upper Mekong River Using Satellite Radar Altimetry and Remote Sensing Imageries
Previous Article in Special Issue
Study of the Effect of Temporal Sampling Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part I): Earth’s Radiation Budget
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(5), 366; doi:10.3390/rs8050366

Uncertainties in Tidally Adjusted Estimates of Sea Level Rise Flooding (Bathtub Model) for the Greater London

1
Graduate School of Frontier Sciences, The University of Tokyo, Kashiwanoha 277-8563, Japan
2
Institute for the Advanced Study of Sustainability (UNU-IAS), United Nations University, Tokyo 150-8925, Japan
3
Faculty of Liberal Arts and Sciences, Tokyo City University, Tokyo 158-8557, Japan
4
Department of Earth Sciences, University of Gothenburg, Göteborg SE-405 30, Sweden
5
Department of Meteorology, University of Reading, Reading RG6 6BB, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Yudong Tian, Ken Harrison, Magaly Koch and Prasad S. Thenkabail
Received: 7 December 2015 / Revised: 9 April 2016 / Accepted: 20 April 2016 / Published: 28 April 2016
(This article belongs to the Special Issue Uncertainties in Remote Sensing)
View Full-Text   |   Download PDF [8459 KB, uploaded 28 April 2016]   |  

Abstract

Sea-level rise (SLR) from global warming may have severe consequences for coastal cities, particularly when combined with predicted increases in the strength of tidal surges. Predicting the regional impact of SLR flooding is strongly dependent on the modelling approach and accuracy of topographic data. Here, the areas under risk of sea water flooding for London boroughs were quantified based on the projected SLR scenarios reported in Intergovernmental Panel on Climate Change (IPCC) fifth assessment report (AR5) and UK climatic projections 2009 (UKCP09) using a tidally-adjusted bathtub modelling approach. Medium- to very high-resolution digital elevation models (DEMs) are used to evaluate inundation extents as well as uncertainties. Depending on the SLR scenario and DEMs used, it is estimated that 3%–8% of the area of Greater London could be inundated by 2100. The boroughs with the largest areas at risk of flooding are Newham, Southwark, and Greenwich. The differences in inundation areas estimated from a digital terrain model and a digital surface model are much greater than the root mean square error differences observed between the two data types, which may be attributed to processing levels. Flood models from SRTM data underestimate the inundation extent, so their results may not be reliable for constructing flood risk maps. This analysis provides a broad-scale estimate of the potential consequences of SLR and uncertainties in the DEM-based bathtub type flood inundation modelling for London boroughs. View Full-Text
Keywords: sea-level rise; flooding; digital elevation model; risk; uncertainties sea-level rise; flooding; digital elevation model; risk; uncertainties
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Yunus, A.P.; Avtar, R.; Kraines, S.; Yamamuro, M.; Lindberg, F.; Grimmond, C.S.B. Uncertainties in Tidally Adjusted Estimates of Sea Level Rise Flooding (Bathtub Model) for the Greater London. Remote Sens. 2016, 8, 366.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top