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Received: 21 January 2025 / Accepted: 7 March 2025
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Assessment of a Tailings Dam Breach by Experimental,
Numerical, and Gene-Expression Programming Model
ArianEghbali1· MehdiSoltanabadi1· MitraJavan1· OmidMohseni2
Water Resources Management
https://doi.org/10.1007/s11269-025-04172-z
Abstract
Empirical evidence from documented tailings dam failures highlights the severe conse-
quences for economic systems, human lives, and ecological integrity. The spatial distri-
bution and depositional conguration of tailings within the impoundment structure are
regarded as the critical factors inuencing the heterogeneous behavioral responses during
failure events. This study uses experimental and numerical approaches to investigate the
inuence of a lateral slope of non-liqueed tailings on localized tailings dam breach mech-
anisms. The HEC-RAS 2D model was employed to simulate failure scenarios, with the
numerical model calibrated against experimental data to evaluate ow characteristics and
hydrograph proles under conditions with and without a lateral slope. Gene-Expression
Programming (GEP) was successfully applied to predict ood hydrographs at the failure
location based on the simulated data. Results indicate that erosion in the direction perpen-
dicular to the dam is more pronounced in the presence of a lateral tailings slope compared
to the scenario without a lateral slope. While a 2% lateral slope exerts minimal inuence
on the outow hydrograph, it reduces tailings erosion from the reservoir by approximately
1.3 times in localized failure scenarios. The GEP-derived formula demonstrated high ac-
curacy in computing the ood hydrograph, oering a reliable approach for predicting
tailings dam breach-induced ooding.
Keywords Numerical Model · Tailings Dam Failure · Flood Hydrograph · Tailings
Slope · Experiment · Sediment · Gene-Expression Programming
1 Introduction
In recent years, mining operations for mineral extraction have increasingly faced signicant
hazards, and tailings dam failures are rising (Lin et al. 2022). Tailings dams are critical
structures that store waste materials generated during mining processes. These tailings are
often deposited in dams with longitudinal or lateral slopes, and in some cases, water is
stored above the tailings to control dust or mitigate aerial pollution. The extent of down-
stream damage following a tailings dam failure is highly sensitive to factors such as water
1 3
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