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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/nhess-2018-37
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-37
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  21 Feb 2018

21 Feb 2018

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This discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.

Risk assessment and management for an extreme accident at a waste slag site

Shuang Liu1, Bo Chai1, Feng Luo2, and Lili Xiao3 Shuang Liu et al.
  • 1School of Environmental Studies, China University of Geosciences, Wuhan, Hubei 430074, People's Republic of China
  • 2China Railway First Survey & Design Institute Group Co., LTD., Xi'an, Shannxi 710075, People's Republic of China
  • 3School of highway, Chang'an University, Xi'an, Shannxi 710064, People's Republic of China

Abstract. Waste slag failure is a disaster that affects both the environment and people. In China there are many waste slags after the engineering project such as railway and road. Although the disposal of the waste slags obeys the regulations the government have established, some accident still happened. Therefore, we need to do inverse analysis to check the failure extend and impact area of each slope. The probability of failure of a waste slag site involves many unpredictable factors that are hard to calculate. Therefore, we propose a risk analysis and management scheme for extreme accidents that assumes failure will arise at extreme conditions, and emphasize risk management in the design and monitoring of the slag site. In this scheme, we use Tsunami–Square Method to simulate the flow of tailings sand to get the intensity parameters (flow path and thickness) to create hazard zones based on dam failure. The risks to buildings and people were analysed according to the vulnerability of the buildings in the flow path. A risk sharing community risk management mode is presented using the idea of Canadian Whitehorse Mining Initiative, which sparkplug multi-stakeholder representatives to participate in risk management. Following the As Low As Reasonably Possible principle, the risk management scheme divides areas at risk into five zones in the F–N Curve. These zones have different mitigation measures for risk from tailings ponds and other waste slag sites. The scheme is effective for determining design safety factors, implementing reinforcements, and monitoring the waste slag site, and encouraging multiparty participation in risk management.

Shuang Liu et al.

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Shuang Liu et al.

Shuang Liu et al.

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