A brief survey of current surface waste disposal practices in the metal mining industry

Author(s):  
Mohsen Hossein ◽  
Ferri P. Hassani ◽  
Roland Leduc
2010 ◽  
Vol 18 (NA) ◽  
pp. 115-135 ◽  
Author(s):  
Timothy J. Barrett ◽  
Kelly R. Munkittrick

Canada’s environmental effects monitoring (EEM) program is currently in its fifth cycle of monitoring for the pulp and paper industry and second cycle of monitoring for the metal mining industry. More than 60 different sentinel fish species have been used in the EEM fish population surveys and reproductive impacts have been identified as an issue of concern in the pulp and paper program. A review of the literature was conducted to obtain details of the reproductive biology of each fish species that has been used in EEM studies in Canada. Using available data on seasonal changes in gonadosomatic indices, the seasonal reproductive patterns of Canadian fish species were divided into categories based on reproductive strategy and the timing of initiation of gonadal recrudescence. Recommended sampling times were developed for each reproductive pattern based on periods of temporal stability, minimum variability, and maximum value in gonadosomatic indices within a reproductive cycle. The reproductive strategy, spawning time, spawning temperature, and recommended sampling time were provided for the each sentinel fish species as well as life history characteristics including longevity, age and size at maturity, and mobility. Examination of the fish surveys using small bodied forage species from the EEM pulp and paper program revealed that approximately 72% of these studies were not conducted at the developed recommended sampling times and the magnitude of impacts may be underestimated by failing to sample at the recommended time.


1996 ◽  
Vol 33 (6) ◽  
pp. 155-161 ◽  
Author(s):  
H. G. Peterson ◽  
N. Nyholm ◽  
M. Nelson ◽  
R. Powell ◽  
P. M. Huang ◽  
...  

The use of non-photosynthetic organisms alone to describe environmental impact has been recognized by regulatory agencies, industry, and academia as being insufficient both in Europe and North America. Lack of adequate testing methods for photosynthetic aquatic organisms is considered as a major impediment to the successful regulation and safe use of pesticides and waste discharges and is of even more concern to the metal mining industry due to the non-biodegradable nature of its waste streams. This work shows that the chemical effluent limits set in the “Metal mining liquid effluent regulations and guidelines” provide variable protection of aquatic photosynthetic organisms. Aquatic effects of the more toxic metals (e.g., copper, nickel, and zinc) may occur at levels that are one to two orders of magnitude lower than present limits. To establish adequate protection of receiving water bodies it may be necessary to establish site-specific criteria taking into consideration toxicity modifying factors of individual sites. If the establishment of such criteria is determined with a host of ecologically relevant organisms, it will be possible to design effective environmental protection at the least possible cost.


1992 ◽  
Vol 16 (4) ◽  
pp. 250-260 ◽  
Author(s):  
Olivier Bomsel ◽  
Christian Hirschhausen

2019 ◽  
Vol 25 (9) ◽  
pp. 1585-1595 ◽  
Author(s):  
Shida Xu ◽  
Yuanhui Li ◽  
Jianpo Liu ◽  
Fengpeng Zhang

Drilling and blasting remains the primary method of rock fragmentation in metal mining. However, blasting vibration can adversely affect the stability of the rock. Therefore, prediction of blasting vibration is essential in the mining industry. This paper proposes a combination of principal component analysis (PCA) and support vector machine (SVM) model to predict blasting vibration. Here, PCA was used to simplify the inputs of the SVM. Relative location of the monitoring point to blasting source, total charge, maximum charge per delay, number of delays, burden, spacing, height, and horizontal distance were used as inputs of the combination model (PCA-SVM), while peak particle velocity was set as output. The PCA-SVM model was successfully employed to adjust blasting parameters of the No. 21 stope in Hongtoushan Copper Mine. Two blasting data sets were used to compare the capability of the PCA-SVM model with conventional predictors. The results prove the superiority of the PCA-SVM model in estimating blasting vibration.


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