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

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 …

Heterogeneous Data Mining for a Semi-Quantitative Risk Assessment of Oil Contamination from Multiple-Sources in The Ecuadorian Amazon ... Furthermore this extractive industry has long been regarded as polluting the environment and causing cancer and other diseases to the local population. ... They represent the sensitivity of the …

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.

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 ...

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

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 …

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 …

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 ...

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).

• Data mining is past the hype stage. It can produce measureable and significant bottom-line results. (One case study shows how data mining resulted in a $1 billion decision with positive results.) • Data mining can solve complex "needle in haystack" problems. • Data mining can eliminate bad (like fraud), highlight good (such as new

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.

Research Article. Mined land suitability assessment: a semi-quantitative approach based on a new classification of post-mining land uses. Sina Amirshenava. …

PDF | On Jan 1, 2021, Sundas Matloob and others published Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning | Find, read and cite ...

The selected Environmental Impact Assessment (EIA) factors are structured by Folchi crucially significant in the perspectives of the mining industry. The …

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.

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 …

In this regard, a new semi-quantitative model is presented for the EIA of the Eastern Alborz Coal Mining complex using the matrix method, and determining the corresponding impacting factors and ...

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 ...

2.2. Materials2.2.1. Dataset. We compared data availability and cloud cover ratios of all S2 (L1C, Level-1C) images from the USGS (https://earthexplorer.usgs.gov) during the growth cycle of vegetation surrounding the three mining areas.According to the Sentinel-CLD band classification standard (Main-Knorn et al. 2015), a total of 229 S2 …

The intervention factors associated with such environmental stressors were identified, and the study conducted an empirical analysis of relevant data related to the coal-resources industry in ...

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 ...

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

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

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.

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

Overall, the use of a combination of methods, including semi-quantitative, quantitative, and qualitative, can provide a comprehensive and robust evaluation of sustainable development in mining. The variety of minerals studied in the 77 articles reviewed highlights the broad impact mining has on the environment and the need for a …

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).

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.

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 …

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.

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

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 testing process is employed to test semiconductors in the context of design verification, specialized production, and quality assurance [ 61 ]. 4. Data Mining Applications in Semiconductor Manufacturing. Data mining techniques can have a vast array of applications in the semiconductor industry.

Semi-quantitative analysis of the molecular composition of heavy oil was conducted referring to previously reported semi-quantitative methods of petroleum fractions (Li et al., 2023).The semi-quantitative analysis scheme for the molecular composition of heavy oil is shown in Fig. 1.All the molecules in the heavy oil belong to six …