Tailings storage facilities flood exposure assessment using a 2D hydrodynamic model

被引:0
|
作者
Murillo, Gabriel Perez [1 ]
McIntyre, Neil [2 ]
Cohen, Raymond C. Z. [3 ]
Prakash, Mahesh [3 ]
机构
[1] Univ Queensland, Sustainable Minerals Inst, Sir James Foots Bldg 47A,Level 4, St Lucia, Qld 4072, Australia
[2] Univ Queensland, St Lucia, Qld, Australia
[3] Commonwealth Sci & Ind Res Org, Data61, Melbourne, Vic, Australia
关键词
contaminated land; extreme events; mapping of flood hazards; SWIFT; TSFs; MINE TAILINGS; DEM RESOLUTION; RIVER SYSTEM; TOXIC METALS; INUNDATION; URBAN; CONTAMINATION; SEDIMENT; MERCURY; POLLUTION;
D O I
10.1111/jfr3.12810
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Minimizing environmental pollution from Tailings Storage Facilities (TSFs) is one of the key goals of the mining sector. While much attention is given to risks from potential catastrophic failures of large TSFs, there is also a need to assess risks due to noncatastrophic but more frequent releases of contaminants. In response to this need, this article proposes a method for prioritizing TSFs in terms of flood exposure, based on flood maps produced by the Shallow Water Integrated Flood Tool. The method was implemented using a case study of a flood event in the Copiapo city region (Atacama, Chile). A sensitivity analysis was carried out to evaluate the influence of different model configurations and input parameters. The results showed that 10% of all the TSFs in the case study region were exposed to flood waters due to the fluvial dynamics of the Copiapo River. Additionally, the sensitivity analysis revealed that in the event of extreme local precipitation, capable of generating runoff, up to 88% of all the TSFs could have some degree of flood exposure. The results also suggest that flood simulations using satellite-derived terrain data at moderate resolution can be used for a preliminary large-scale assessment of TSF flood exposure.
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页数:24
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