A spatial assessment framework for evaluating flood risk under extreme climates

Chen, Yun, Liu, Rui, Barrett, Damian, Gao, Lei, Zhou, Mingwei, Renzullo, Luigi and Emelyanova, Irina (2015) A spatial assessment framework for evaluating flood risk under extreme climates. Science of the Total Environment, 538 512-523. doi:10.1016/j.scitotenv.2015.08.094

Author Chen, Yun
Liu, Rui
Barrett, Damian
Gao, Lei
Zhou, Mingwei
Renzullo, Luigi
Emelyanova, Irina
Title A spatial assessment framework for evaluating flood risk under extreme climates
Journal name Science of the Total Environment   Check publisher's open access policy
ISSN 1879-1026
Publication date 2015-12-15
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.scitotenv.2015.08.094
Open Access Status Not yet assessed
Volume 538
Start page 512
End page 523
Total pages 12
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Abstract Australian coal mines have been facing a major challenge of increasing risk of flooding caused by intensive rainfall events in recent years. In light of growing climate change concerns and the predicted escalation of flooding, estimating flood inundation risk becomes essential for understanding sustainable mine water management in the Australian mining sector. This research develops a spatial multi-criteria decision making prototype for the evaluation of flooding risk at a regional scale using the Bowen Basin and its surroundings in Queensland as a case study. Spatial gridded data, including climate, hydrology, topography, vegetation and soils, were collected and processed in ArcGIS. Several indices were derived based on time series of observations and spatial modeling taking account of extreme rainfall, evapotranspiration, stream flow, potential soil water retention, elevation and slope generated from a digital elevation model (DEM), as well as drainage density and proximity extracted from a river network. These spatial indices were weighted using the analytical hierarchy process (AHP) and integrated in an AHP-based suitability assessment (AHP-SA) model under the spatial risk evaluation framework. A regional flooding risk map was delineated to represent likely impacts of criterion indices at different risk levels, which was verified using the maximum inundation extent detectable by a time series of remote sensing imagery. The result provides baseline information to help Bowen Basin coal mines identify and assess flooding risk when making adaptation strategies and implementing mitigation measures in future. The framework and methodology developed in this research offers the Australian mining industry, and social and environmental studies around the world, an effective way to produce reliable assessment on flood risk for managing uncertainty in water availability under climate change.
Keyword AHP
Multi-criteria decision making
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID ACARP C21037
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Sustainable Minerals Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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