Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/29866
Title: | The application of a Dempster–Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods | Contributor(s): | Tehrany, Mahyat Shafapour (author); Kumar, Lalit (author) | Publication Date: | 2018-07 | Early Online Version: | 2018-07-02 | DOI: | 10.1007/s12665-018-7667-0 | Handle Link: | https://hdl.handle.net/1959.11/29866 | Abstract: | Flood is one of the most common natural disasters worldwide. The aim of this study was to evaluate the application of the Dempster–Shafer-based evidential belief function (EBF) for spatial prediction of flood-susceptible areas in Brisbane, Australia. This algorithm has been tested in landslide and groundwater mapping; however, it has not been examined in flood susceptibility modelling. EBF has an advantage over other statistical methods through its capability of evaluating the impacts of all classes of every flood-conditioning factor on flooding and assessing the correlation between each factor and flooding. EBF outcomes were compared with the results of well-known statistical methods, including logistic regression (LR) and frequency ratio (FR). Flood-conditioning factor data set consisted of elevation, aspect, plan curvature, slope, topographic wetness index (TWI), geology, stream power index (SPI), soil, land use/cover, rainfall, distance from roads and distance from rivers. EBF produced the highest prediction rate (82.60%) among all the methods. The research findings may provide a useful methodology for natural hazard and land use management. | Publication Type: | Journal Article | Source of Publication: | Environmental Earth Sciences, 77(13), p. 1-24 | Publisher: | Springer | Place of Publication: | Germany | ISSN: | 1866-6299 1866-6280 |
Fields of Research (FoR) 2008: | 050204 Environmental Impact Assessment 050102 Ecosystem Function |
Fields of Research (FoR) 2020: | 410402 Environmental assessment and monitoring 410203 Ecosystem function |
Socio-Economic Objective (SEO) 2008: | 960913 Water Allocation and Quantification 960501 Ecosystem Assessment and Management at Regional or Larger Scales |
Socio-Economic Objective (SEO) 2020: | 190211 Water policy (incl. water allocation) 180305 Ground water quantification, allocation and impact of depletion 180403 Assessment and management of Antarctic and Southern Ocean ecosystems |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Environmental and Rural Science |
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