To address the problem of excessive local secondary stripping between adjacent mining areas in open pit mines caused by internal row raising, a multivariate function was fitted to the model of the ...

Where A i is the intensity of activity i and η j is the efficiency of the emission control measure j implemented for activity i.. For the case of open-pit coal mining operations, the TSP and PM 10 emission factors reported by the USEPA were obtained through various experimental studies carried out in mining areas in USA by the Western …

The sustainable development, extraction, and production of critical minerals and energy resources fuels the technologies of the future, from electric vehicles to green energy. ia Tech's Department of Mining and Minerals Engineering trains its graduates to help lead the world. People. Programs.

The mining of mineral resources has caused serious damage to land and significant pressure on ecological environment. During the repairing of damaged land and degraded ecosystems, there have been many pieces of literature related to land reclamation and ecological restoration (LRER) that have emerged. To understand the …

Using text mining and semantic network as analysis methods, this paper summarizes eight main clusters of sustainable development and sustainable tourism development in the past 10 years. ... Based on this, this paper compares the differences between the two researches and explores four potential research areas in sustainable …

Based on the results of an extensive literature research, we summarize the research progress of remote sensing monitoring in terms of identifying mining area boundaries and monitoring land use or land cover changes of mining areas. We also analyze the application of remote sensing in monitoring the biodiversity, landscape …

From exploration and environmental assessment to decommissioning and restoration, Curtin has an exceptional track record of research across the spectrum of resources activities. Ranked second in the world and first in Australia* for Mineral and Mining Engineering, we're driving collaborations in future-focused areas such as automation and ...

Mining subsidence is the most important research topic in the field of environmental monitoring. By the use of RS image and extracting subsidence from it will give more than 80% to 85% accuracy. Underground mining create cavities in the subsurface, with time these cavities get enlarge and the support which are left for the …

This paper investigates the impact of land use/cover type changes in the Haideigou open-pit coal mine on the evolution of the landscape patterns and ecological and environmental quality in the mine area, based on medium- and high-resolution remote sensing images in 2006, 2011, 2016, and 2021 using ArcGIS 10.5, Fragstats 4.2, and the …

Ecological restoration of mining areas is a complex technical system formed on the theoretical basis of land degradation and vegetation restoration [1,2,3].As an essential part of the governance of the ecological environment, great attention has been paid to mining area restoration and extensive research work has been conducted in this …

03 January 2024. Impacts for half of the world's mining areas are undocumented. As the race to extract minerals and metals for clean-energy technologies accelerates, …

1. Introduction. Mining activities have resulted in the most intense impact on the ecosystem in mining areas. Severe environmental damage and ecological degradation, such as air pollution, water acidification, soil quality decline, loss of biodiversity and destruction of the landscape, are very common in mining areas.

Mining is the process of extracting useful materials from the earth. Some examples of substances that are mined include coal, gold, or iron ore.Iron . ore is the material from which the metal iron is produced.. The process of mining dates back to prehistoric times.. Prehistoric people first mined flint, which was ideal for tools and …

Research. Faculty members have wide-ranging expertise and are active in research in a wide range of specialties within mining engineering, including mine …

Multidisciplinary teams performing interdisciplinary research on these topics, including in the fields of botany, animal ecology, soil science, genetics and remote sensing, are necessary to enhance the selection of effective species mixtures for the rehabilitation of areas degraded by mining, to control biological invasions and to develop ...

To better inform priority areas of research, it is important to recognize research and activities across the Institute that directly and indirectly contribute to advancing the science and impact of research aimed at improving miner health. Mining research at NIOSH is largely executed out of the Pittsburgh and Spokane Mining …

The database group's research is focused on building the data management infrastructure for the twenty-first century, with particular emphasis on issues surrounding Big Data, including stream processing, approximate query answering, text mining, data integration, information extraction, and data sharing. We have a strong emphasis on database ...

For example, after combing almost 120,000 square kilometres of mining areas identified globally using satellite images 5, 6, we found that only 44% of the mines we detected had production ...

Noise will be distributed throughout the water column from ships at the surface, risers with pumps every ∼1 km in depth, and mining tools on the seabed, ultimately creating a cylinder of sound gradually decreasing in amplitude while propagating outward. Mid-water pumps will couple with the Sound Fixing And Ranging (SOFAR) channel at ∼1 …

Previous research on the ecological restoration of coal-mining subsidence areas has focused on the selection of reclamation methods and vegetation, the effects of restoration modes on soil organic matter, and the value of ecosystem services under different models (Kuter et al. 2014; Huang et al. 2015; Guo et al. 2020; Liu et al. 2019b). …

Research Areas Databases, Data Mining, Information Retrieval Systems Databases, data mining and information retrieval systems focus on how to organize, access, search, and discover information, with …

31k Accesses. 69 Citations. 277 Altmetric. Metrics. The green energy revolution is heavily reliant on raw materials, such as cobalt and lithium, which are …

Agile Methodologies. Machine Learning. Software Development. Computer Science. Data Engineering. Data Analytics. Data Science. Artificial Intelligence (AI) Learn about the most important research ...

The Mining Engineering Department conducts research in state-of-the-art facilities including focus on the following areas of graduate research: VR …

Data Mining and Modeling. The proliferation of machine learning means that learned classifiers lie at the core of many products across Google. However, questions in practice are rarely so clean as to just to use an out-of-the-box algorithm. A big challenge is in developing metrics, designing experimental methodologies, and modeling the space to ...

By working with communities in mining areas, Odell and Fernández are gaining a sense of the burden that mining minerals needed for the clean energy …

I am thus asking, for ideas of possible research areas/proposals that will led to contribution to the mining industry. Please note that suggestions outside the two highlighted areas are welcome.

Lehigh CSE faculty are passionate about their work in machine learning, data mining, data science, and related areas. Our efforts encompass foundational research in areas such as deep learning, AI, reinforcement learning, embeddings, tensor learning, and natural language processing as well as applied research of those areas into a wide variety of …

Most mining areas (82%) target materials needed for renewable energy production, and areas that overlap with Protected Areas and Remaining Wilderness …

UA mining and geological engineering research focuses on the following primary areas: Geophysical sensing techniques. Mine health and …