Optimization of the drainage system of overburden dumps using geofiltration modeling

Document Type : Research Paper

Authors

Belgorod State University 85, Pobedy St., Belgorod, 308015, Russia

Abstract

The article describes the assessment of the predicted water flows at the site of the projected rock dumps, which was carried out using geofiltration modeling. When developing the model, we used actual data on capacities, filtration coefficients and water capacity, roof and sole marks of the selected aquifers, precipitation infiltration, as well as the projected dumps are located on the slope surface. We schematized hydrogeological filtration conditions in relation to existing natural conditions, taking into account the planned construction and operation of dumps, and also determined the maximum water inflow of underground and surface water into the drainage system. Based on the obtained data, the most effective version of the drainage system for the removal of underground and surface water from the territory of dumps has been developed, which will allow to perform the maximum possible interception of the flow of underground water and flood water, to form depression surfaces in the near-slope mass of the body of dumps, to prevent filtration deformations of the ledges and to ensure the normative bearing capacity of rocks. The provided drainage devices will ensure the overall stability of the ledges of the dumps, both during their long standing and during their constant formation.

Keywords

References

Agarkov, NB & Ryazhskikh, MV 2019, Modeling of geofiltration processes within the Gubkinsko-Stoilensky mining district to predict the impact of drainage works on the underground water regime. Collection of materials of the XIV International Symposium "Development of mineral resources deposits and underground construction in complex hydrogeological conditions, Belgorod: pp. 35-43, [In Russian].
Agarkov, NB, Khaustov, VV, Malikov, AM & Karpenko, NG 2020, Optimization of the underground water monitoring network based on mass transfer modeling. Mining Journal, 12: 91-94, [In Russian].
Agarkov, NB & Volkov, YuI 2020, Technology of designing drainage systems and hydrogeological research. Mining Journal of Kazakhstan, 2: 18-22.
Khaustov, VV & Ustiugov, DL 2017, Formation of drainage waters of Tyrnyauz deposit in ecological aspect. IOP Conference Series: Earth and Environmental Science, 87, 042006. 5 р.
Khaustov, VV, Bredikhin, VV & Khaustova, TV 2019, Treatment technology of liquid phase at industrial waste landfill. IOP Conference Series: Materials Science and Engineering, 687, 066063, 6 p.
Khaustov, VV, Kruglova, LE, Bredikhina, NV & Guseinov, TA 2019, The impact of flooding on the operational reliability of real estate in the Kursk region. Journal of Applied Engineering Science, 17: 213-216.
Kinzelbach, V 1984, Modeling of mass transfer and filtration of underground waters on the basis of computer technologies. Stuttgart, 233 p.
Kostenko, VD, Khaustov, VV & Lushnikov, EA 2012, On the use of mathematical models in geological and hydrogeological studies. Proceedings of the South-Western State University, 1: 81-92 (In Russian)
Lomakin, EA, Mironenko, VA & Shestakov, VM 1988, Numerical modeling of geofiltration. Moscow: Nedra, 228 p, [In Russian].
Lukner, L & Shestakov, VM 1976, Modeling of geofiltration.  Moscow: Nedra, 407 p, [In Russian].
Surinaidu, L, Gurunadha Rao, VVS, Srinivasa Rao, N & Srinu, S 2014, Hydrogeological and groundwater modeling studies to estimate the groundwater inflows into the coal Mines at different mine development stages using MODFLOW. Andra Prades, India, Elsevier.
Takur, JK 2017, Hydrogeological modeling for improving groundwater monitoring network and strategies. Applied Water Science, 7: 3223-3240.
Voronin, AA, Volkov, YuI, Zhdanova, TV & Vershinina, OO 2019, Substantiation and development of modern methods of protecting mining workings from underground waters. Mining Journal, 10: 18-21, [In Russian].
Caspian Journal of Environmental Sciences
Volume 20, Issue 1
January 2022
Pages 171-175

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