Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Floods from tailings dam failures.

M Rico1, G Benito, A Díez-Herrero

  • 1CSIC-Instituto Pirenaico de Ecología, Zaragoza, Spain. mayterico@ipe.csic.es

Journal of Hazardous Materials
|December 22, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetic variants associated with steatohepatitis and liver fibrosis in HIV-infected patients with NAFLD.

Frontiers in pharmacology·2022
Same author

Assessment of Noninvasive Markers of Steatosis and Liver Fibrosis in Human Immunodeficiency Virus-Monoinfected Patients on Stable Antiretroviral Regimens.

Open forum infectious diseases·2022
Same author

Changes of CD3+CD56+ γδ T cell number and apoptosis during hospital admission are related to mortality in septic patients.

Clinical immunology (Orlando, Fla.)·2022
Same author

[Ischemic stroke secondary to paradoxical embolism as a consequence of superior vena cava syndrome by a displacement of a ventriculoatrial shunt].

Neurologia·2020
Same author

How to integrate stereotactic body radiation therapy and hypofractionation in the management of stage III lung cancer in the age of immunotherapy.

Anales del sistema sanitario de Navarra·2020
Same author

SURVEILLANCE OF ENVIRONMENTAL DOSE RATE WITH THE COVARIANCE MATRIX.

Radiation protection dosimetry·2018
Same journal

Co-contamination of hybrid microplastics and PFOA/GenX alters rhizosphere bacterial-fungal communities and root performance of Eichhornia crassipes.

Journal of hazardous materials·2026
Same journal

Associations between prenatal per- and polyfluoroalkyl substance exposure and maternal fatty acid homeostasis: Nonmonotonic, compartment-specific patterns in plasma and red blood cells.

Journal of hazardous materials·2026
Same journal

PLA vs PE microplastics with cadmium: Time-dependent divergent and microbial disruption of soil carbon and nitrogen cycling in medicinal plant soils.

Journal of hazardous materials·2026
Same journal

A photoinitiated catalytic self-degrading composite material for efficient and stable Cu(II) directional adsorption was constructed based on the bridging synergy strategy.

Journal of hazardous materials·2026
Same journal

Can heavy metal accumulation in crops be mitigated by microbial inoculants? A meta-analysis and machine learning.

Journal of hazardous materials·2026
Same journal

Coupling electron snorkels with biogenic FeS<sub>x</sub>-associated interfacial structures enhances anaerobic petroleum hydrocarbon degradation.

Journal of hazardous materials·2026
See all related articles

This study correlates mining tailings dam geometry with flood characteristics. Tailings volume accurately predicts outflow volume, aiding risk analysis for dam failures.

Area of Science:

  • Geotechnical Engineering
  • Environmental Science
  • Disaster Management

Background:

  • Historic tailings dam failures pose significant environmental and safety risks.
  • Estimating the volume of released tailings and their flow characteristics after a dam collapse is challenging.
  • Understanding these parameters is crucial for effective risk assessment and mitigation strategies.

Purpose of the Study:

  • To establish correlations between geometric parameters of tailings dams and the hydraulic characteristics of resulting floods.
  • To develop predictive models for tailings outflow volume and run-out distance based on dam characteristics.
  • To provide a baseline approximation for risk analysis when detailed dam information is unavailable.

Main Methods:

  • Compilation and analysis of historical tailings dam failure data.

Related Experiment Videos

  • Statistical correlation analysis to link geometric parameters (e.g., dam height, tailings volume) with hydraulic characteristics (outflow volume, run-out distance).
  • Development of regression equations and an envelope curve to represent potential spill impacts.

    • Main Results:

    • A strong correlation (r²=0.86) was found between the volume of tailings stored at failure and the outflow volume.
    • A moderate correlation (r²=0.57) was established between the volume of spilled tailings and their run-out distance.
    • An envelope curve was developed to delineate the maximum potential downstream affected distance.

    Conclusions:

    • Tailings volume is a reliable predictor of outflow volume in dam failures.
    • The established correlations provide a valuable tool for approximating tailings spill characteristics and informing risk assessments.
    • While requiring caution and on-site validation, these findings offer a universal baseline for understanding tailings dam failure impacts.