A spatial assessment framework for evaluating flood risk under extreme climates.

摘要: Australian coal mines have been facing a major challenge of increasing risk flooding caused by intensive rainfall events in recent years. In light growing climate change concerns and the predicted escalation flooding, estimating flood inundation becomes essential for understanding sustainable mine water management mining sector. This research develops spatial multi-criteria decision making prototype evaluation at regional scale using Bowen Basin its surroundings Queensland as case study. Spatial gridded data, including climate, hydrology, topography, vegetation soils, were collected processed ArcGIS. Several indices derived based on time series observations modeling taking account extreme rainfall, evapotranspiration, stream flow, potential soil retention, elevation slope generated from digital model (DEM), well drainage density proximity extracted river network. These weighted analytical hierarchy process (AHP) integrated an AHP-based suitability assessment (AHP-SA) under framework. A map was delineated to represent likely impacts criterion different levels, which verified maximum extent detectable remote sensing imagery. The result provides baseline information help identify assess when adaptation strategies implementing mitigation measures future. framework methodology developed this offers industry, social environmental studies around world, effective way produce reliable managing uncertainty availability change.