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Cascading Hazards in the Aftermath of Australia's 2019/2020 Black Summer Wildfires

doi: 10.1029/2020ef001884
AbstractFollowing an unprecedented drought, Australia's 2019/2020 “Black Summer” fire season caused severe damage, gravely impacting both humans and ecosystems, and increasing susceptibility to other hazards. Heavy precipitation in early 2020 led to flooding and runoff that entrained ash and soil in burned areas, increasing sediment concentration in rivers, and reducing water quality. We exemplify this hazard cascade in a catchment in New South Wales by mapping burn severity, flood, and rainfall recurrence; estimating changes in soil erosion; and comparing them with river turbidity data. We show that following the extreme drought and wildfires, even moderate rain and floods led to undue increases in soil erosion and reductions in water quality. While natural risk analysis and planning commonly focuses on a single hazard, we emphasize the need to consider the entire hazard cascade, and highlight the impacts of ongoing climate change beyond its direct effect on wildfires.
- Helmholtz Association of German Research Centres Germany
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
- Leibniz Association Germany
- Technical University of Berlin Germany
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
550, Ecology, ddc:550, hazard cascade, Australia, Institut für Umweltwissenschaften und Geographie, wildfire, Environmental sciences, climate change, natural hazards, GE1-350, Institut für Geowissenschaften, New South Wales, QH540-549.5, ddc: ddc:550, ddc: ddc:577
550, Ecology, ddc:550, hazard cascade, Australia, Institut für Umweltwissenschaften und Geographie, wildfire, Environmental sciences, climate change, natural hazards, GE1-350, Institut für Geowissenschaften, New South Wales, QH540-549.5, ddc: ddc:550, ddc: ddc:577
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
