4.2 Semi-quantitative Methodologies This type of approach represents only 6.7% of all identified risk assessment methodologies [ 23 ]. These methodologies …

The mining industry influences economic growth at the national and regional levels. ... studied site was found 65.25% and %34.75 respectively. Alves et al. (2018) examined the situation of SD in Brazilian mining companies using semi-quantitative methods. ... They used an explanatory study and PLS-SEM data analysis …

Mining plays a vital role in economic growth and human development. However, these benefits have come with a cost to the environment and society that threaten Sustainable Development (SD) goals. Hence, keeping mining on an SD path is one of the challenges of modern mining (Amirshenava and Osanloo, 2019; Alves et al., 2020).

Mining Industry Impact on Environmental Sustainability, Economic Growth, Social Interaction, and Public Health: An Application of Semi-Quantitative Mathematical Approach

Thus, we have a data set consisting 798 existing wells (Fig. 1), out of which 788 are standard petroleum industry wells and 10 are the Gas Hydrate Joint Industry Project (JIP) Legs I and II wells (Ruppel et al., 2008, Boswell et al., 2012). On an average, wells have 396 m of data within the HSZ_mean.

1. There is no strict statistical definition of semi-quantitative. Generally, a quantitative method yields results that can be compared across different experiments, whereas a qualitative method yields results for which comparisons are only meaningful between samples within a single experiment.

Semi-quantitative methods allow some risk comparisons to be numerically relative, but ... • the severity of the consequences that describe the credible results related to the events, or the failure of an element, or of the system. ... should also be available and used in the modeling process. The coal mining industry does not have such data ...

Background: In Singapore, the Health Sciences Authority (HSA) reviews an average of 20,000 spontaneous adverse event (AE) reports yearly.Potential safety signals are identified manually and discussed on a weekly basis. In this study, we compared the use of four quantitative data mining (QDM) methods with weekly manual review to determine if …

Mined Land Suitability Assessment (MLSA) is a critical step in mine reclamation planning for ensuring the sustainability of Post-Mining Land-Use (PMLU). In this study, a general semi-quantitative MLSA approach based on the 2D assessment matrix is developed to calculate the mined land suitability score and determine the …

Mining Industry Impact on Environmental Sustainability, Economic Growth, Social Interaction, and Public Health: An Application of Semi-Quantitative Mathematical Approach Article Full-text available

Figure 1. Observed yield anomaly time series from 1981 to 2010 (black lines) for wheat in Australia (a) and Germany (b) (FAO 2015).Temperature and precipitation (taken from the AgMERRA climate data set (Ruane et al 2015) at 0.5° spatial resolution, weighted and aggregated nationally by MIRCA2000 land-use patterns (Portmann et al 2010) and …

In this regard, a hybrid semi-quantitative approach is developed to assess the impacts of mining activities on the SD indexes, based on the 2D assessment matrix, AHP, and TOPSIS methods. Finally, the results of verification of this approach in two different iron ore mines are presented.

This work aimed to identify risk assessment methods specifically used in the open pit mining industry. The research of information was based on the PRISMA methodology, where 12 databases with the appropriate keywords were searched. A total of 38,594 articles were obtained, and 42 were selected after the sorting process.

The mining industry plays a significant role in economic growth and development. Coal is a viable renewable energy source with 185.175 billion deposits in Thar, which has not been deeply explored.

This section proposes a semi-quantitative impact assessment methodology to evaluate, simultaneously, the positive and negative impacts of mining activity on …

A network-based approach for semi-quantitative knowledge mining and its application to yield variability - IOPscience. Topical Review • The following article is …

T06:08:06+00:00 semi quantitative data related to mining industry. Mining Automation Market Driven by Booming Robotics, Surface mining also known as openpit mining in which minerals are mined by removing soil and rock covering the iv LEADING PRACTICE SUSTAINABLE DEVELOPMENT PROGRAM FOR THE MINING …

Data generation comprised of a combination of qualitative social science methods (Brinkmann and Kvale, 2015). In all three reindeer herding districts, the work commenced with a planning meeting (April-May 2019). Afterwards, semi-structured interviews were conducted with community members (May-Oct. 2019).

This is achieved by using the semi-quantitative and mining-specific Folchi method (Folchi, 2003) in conjunction with a mathematical model of sustainability (Phillips, 2009(Phillips,, 2010a ...

In this study, a general semi-quantitative MLSA approach based on the 2D assessment matrix is developed to calculate the mined land suitability score and determine the suitability level. To this ...

Mohsin, M.; Zhu, Q.; Naseem, S.; Sarfraz, M.; Ivascu, L. Mining Industry Impact on Environmental Sustainability, Economic Growth, Social Interaction, and Public Health: An …

Two dimensional (2D) assessment matrix is one of the most used semi-quantitative methods that is responsible for assessing the issues related to SD in a simple and user-friendly manner (Ghaedrahmati and Doulati Ardejani, 2012). Given the greater attention of researchers to environmental problems, 2D assessment matrix has been …

The mining industry plays a significant role in economic growth and development. Coal is a viable renewable energy source with 185.175 billion deposits in Thar, which has not been deeply explored. Although coal is an energy source and contributes to

Semi Quantitative Data Related To Mining Industry Jaw … · al. 2008 provided quantitative data on the benefit of crushing the clinker feed in an HPGR prior to the ball mill. The circuit capacity was increased by 10 and the . The HPGR feed sample was further crushed by a laboratory jaw crusher and cone crusher.

In this study, for the first time, both positive and negative factors of the mining operation are incorporated simultaneously in the framework of a hybrid semi-quantitative model combined with a ...

One of the main targets for each mining industry is to achieve the maximum suitability of post-mining land uses in combination with the minimum vulnerability to any hazards [7, 8]. ...

ABSTRACT Mined Land Suitability Assessment (MLSA) is a critical step in mine reclamation planning for ensuring the sustainability of Post-Mining Land-Use (PMLU). In this study, a general semi-quantitative MLSA approach based on the 2D assessment matrix is developed to calculate the mined land suitability score and determine the …

Coal burst is a generic term to describe a rock or strain burst in a. coal mine, involving release of stored strain energy that causes. dynamic failure or displacement of intact coal, resulting in ...

Therefore, in order to realize the quantitative or semi-quantitative analysis of disaster causes and consequences, a new semi-quantitative HAZOP method takes HAZOP as the main line to integrate LOPA, F&EI (fire and explosion index) for quantitatively calculating the reduction factors, probability on failure demand (PFD) of general protection ...

semi-quantitative, such as multicriteria analysis [34] (Fig. 2). ... it is diffi cult to identify all risks related to mining . operations [51]. According to ... the mining industry is the ...