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Prediction of backbreak in the blasting operations using artificial neural network (ANN) model and statistical models (case study: Gol-e-Gohar iron ore mine No. 1)

Sirjani Abbas Khajouei, Sereshki Ferhang, Ataei Mohammad, Hosseini Mohammad Amir

Archives of Mining Sciences

2022

Vol. 67, no. 1

107--121

Backbreak is an undesirable phenomenon in blasting operations, which can bedefined as the undesirable destruction of rock behind the last row of explosive holes. To prevent and reduce its adverse effects, it is necessary to accurately predict backbreak in the blasting process. For this purpose, the data obtained from 66 blasting operations in Gol-e-Gohar iron ore mine No. 1 considering blast pattern design Parameters and geologic were collected. The Pearson correlation results showed that the parameters of the hole height, burden, spacing, specific powder, number of holes, and the uniaxial compressive strength had a significant effect on the backbreak. In this study, a multilayer perceptron artificial neural network with the 6-12-1 architecture and six multiple linear and nonlinear statistical models were used to predict the backbreakin the blasting operations. The results of this study demonstrated that the prediction rate of backbreak using the artificial neural network model with R2 = 0.798 and the rates of MAD, MSE, RMSE and, MAPE were0.79, 0.93, 0.97 and, 11.63, respectively, showed fewer minor error compared to statistical models. Based on the sensitivity analysis results, the most important parameters affecting the backbreak, including the hole height, distance between the holes in the same row, the row spacing of the holes, had the most significant effect on the backbreak, and the uniaxial compressive strength showed the lowest impact on it.

Ocena zawartości żelaza w próbkach gleby i roślin z obszaru dawnej kopalni rud tego metalu

Kwiecień Karolina, Pietryka Anna, Szczerbińska Anna, Torba Ewelina

Analit

2019

Nr 8

56--66

W niniejszej pracy dokonano oceny stężenia żelaza w próbkach wody, gleby i roślin z nieistniejącej już kopalni rud tego metalu. Celem badań było sprawdzenie, jak duży wpływ miała obecność byłej kopalni na stężenie żelaza w środowisku – wodzie, glebie i roślinach. W pracy umieszczono informacje na temat historii tego miejsca, krótką charakterystykę żelaza i jego znaczenie w przyrodzie. Pomiary zostały wykonane za pomocą spektrofotometrii UV-VIS. Otrzymane stężenia zostały porównane z wartościami znajdującymi się w normach.

This study assesses the iron concentration of water, soil and plant samples from the now non-existent ores mine of this metal. The aim of the study was to check how much the presence of the former Mine's area has an impact on the concentration of iron in the environment - water, soil and plants. The paper contains information on the history of this place, a brief description of iron and its importance in nature. Measurements were made using UV-VIS spectrophotometry. The concentrations obtained were compared with the values found in the up-to-date norms.