Environmental Impact Assessment of Mining Activities on Groundwater: Case Study of Copper Mine in Jiangxi Province, China

Lyu, Zongjie; Jaturapitakkul, Chai; Xu, Zengguang; Qin, Yuan

doi:10.1061/(asce)he.1943-5584.0001739

Cited by 25 publications

(16 citation statements)

References 43 publications

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“…e mining industry has a significant impact on modern life, and its products are widely used in computers, airplanes, ships, and jewellery. Mining resources are an important source of income in areas of poverty, and they play a positive role in economic development [1][2][3][4]. Furthermore, the mining industry also provides employment for more than 40 million people all over the world [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review on Reasons for Tailings Dam Failures Based on Case History

Lyu

Jaturapitakkul

et al. 2019

Advances in Civil Engineering

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147

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On a global scale, the demand for mineral products has increased substantially with economic development. Consequently, the mining of mineral resources results in the production and accumulation of a large number of tailings, causing many problems with respect to mining, the environment, and the economy. In the mining process, tailings must be reasonably treated to prevent them from entering the water cycle through rivers. The storage of tailings under water can effectively hinder the chemical reactions that they undergo. Therefore, it is a critical practice to store these substances in ponds or impoundments behind dams. However, tailings dams frequently fail, resulting in the discharge of significant quantities of tailings into the natural environment, thereby causing grievous casualties and serious economic losses. This paper discusses reasons including seepage, foundation failure, overtopping, and earthquake for tailings dam failures and explores failure mechanisms by referring to the available literature. This research has determined that the failure of tailings dams is closely related to the state of the country’s economy. Most of the tailings dam breakages in developed countries occurred decades ago. In recent years, the proportion of tailings dam failures in developing countries has been relatively high. Considering the serious damages caused by tailings dam breakage, it is important to understand the main reasons and mechanisms for their failure. The purpose of this review is to provide a reference for the design and construction to the building of the tailing dams and to reduce the occurrences of their failure.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Review on Reasons for Tailings Dam Failures Based on Case History

Lyu

Jaturapitakkul

et al. 2019

Advances in Civil Engineering

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147

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“…Lyu [16] developed an analytical approach for EIA of mining activities on groundwater, drawing on a case study of a copper mine in Jiangxi Province, China. Rahimi and Ghasemzadeh [17] and Rashidinejad et al [3] offered models for calculating optimum cut-off grades that incorporated EIA parameters to minimise the environmental impact while optimising economical aspects to achieve maximum resource value.…”

Section: Methodologies For the Environmental Impact Assessment (Eia) For Open Pit Minesmentioning

confidence: 99%

“…Previous research literature discussed EIA methodologies and frameworks pertaining to the country-specific legislative frameworks and best industry practices [14,15]. A number of models evaluated the impact on the atmosphere, water basins [16], soil and subsoil [3,17]. A number of EIA frameworks have been proposed by scholars in a variety of geographical and mining operation contexts [18,19].…”

Section: Introductionmentioning

confidence: 99%

A GIS Software Module for Environmental Impact Assessment of the Open Pit Mining Projects for Small Mining Operators in Kazakhstan

Zarubin¹,

Statsenko

Spiridonov³

et al. 2021

Sustainability

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This research article presents a software module for the environmental impact assessment (EIA) of open pit mines. The EIA software module has been developed based on the comprehensive examination of both country-specific (namely, Kazakhstan) and current international regulatory frameworks, legislation and EIA methodologies. EIA frameworks and methods have been critically evaluated, and mathematical models have been developed and implemented in the GIS software module ‘3D Quarry’. The proposed methodology and software module allows for optimised EIA calculations of open pit mines, aiming to minimise the negative impacts on the environment. The study presents an original methodology laid out as a basis for a software module for environmental impact assessment on atmosphere, water basins, soil and subsoil, tailored to the context of mining operations in Kazakhstan. The proposed software module offers an alternative to commercial off-the-shelf software packages currently used in the mining industry and is suitable for small mining operators in post-Soviet countries. It is anticipated that applications of the proposed software module will enable the transition to sustainable development in the Kazakh mining industry.

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“…So, many researchers have focused on generating the design charts to be used toward slope analysis [6]. This is while the appearance of the computational solutions has made most diagrammatic methods antiquated [7,8]. Zhou, et al [9] proposed novel prediction technique that employ the gradient boosting machine (GBM) technique to analyze the stability of slopes.…”

Section: Introductionmentioning

confidence: 99%

Predicting Slope Stability Failure through Machine Learning Paradigms

Bui

Moayedi

Gör

et al. 2019

IJGI

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In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression (MLR), simple linear regression (SLR), support vector regression (SVR) were used. Traditional methods of slope analysis (e.g., first established in the first half of the twentieth century) used widely as engineering design tools. Offering more progressive design tools, such as machine learning-based predictive algorithms, they draw the attention of many researchers. The main objective of the current study is to evaluate and optimize various machine learning-based and multilinear regression models predicting the safety factor. To prepare training and testing datasets for the predictive models, 630 finite limit equilibrium analysis modelling (i.e., a database including 504 training datasets and 126 testing datasets) were employed on a single-layered cohesive soil layer. The estimated results for the presented database from GPR, MLR, MLP, SLR, and SVR were assessed by various methods. Firstly, the efficiency of applied models was calculated employing various statistical indices. As a result, obtained total scores 20, 35, 50, 10, and 35, respectively for GPR, MLR, MLP, SLR, and SVR, revealed that the MLP outperformed other machine learning-based models. In addition, SVR and MLR presented an almost equal accuracy in estimation, for both training and testing phases. Note that, an acceptable degree of efficiency was obtained for GPR and SLR models. However, GPR showed more precision. Following this, the equation of applied MLP and MLR models (i.e., in their optimal condition) was derived, due to the reliability of their results, to be used in similar slope stability problems.

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Environmental Impact Assessment of Mining Activities on Groundwater: Case Study of Copper Mine in Jiangxi Province, China

Cited by 25 publications

References 43 publications

A Comprehensive Review on Reasons for Tailings Dam Failures Based on Case History

A Comprehensive Review on Reasons for Tailings Dam Failures Based on Case History

A GIS Software Module for Environmental Impact Assessment of the Open Pit Mining Projects for Small Mining Operators in Kazakhstan

Predicting Slope Stability Failure through Machine Learning Paradigms

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