Recent advancements in IoT implementation for environmental, safety, and production monitoring in underground mines

H Zhang, B Li, M Karimi, S Saydam… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) technology has been widely used for real-time monitoring of the
environment, safety, and production in underground mines. This article presents the basic …

Smart technologies for sustainable water management: An urban analysis

E Aivazidou, G Banias, M Lampridi, G Vasileiadis… - Sustainability, 2021 - mdpi.com
As projections highlight that half of the global population will be living in regions facing
severe water scarcity by 2050, sustainable water management policies and practices are …

[HTML][HTML] Impact of intelligence on the carbon emissions of energy consumption in the mining industry based on the expanded STIRPAT model

L Wei, X Feng, P Liu, N Wang - Ore Geology Reviews, 2023 - Elsevier
The intelligent construction of the mining industry has become an emerging trend in its future
development plans. As a traditional high energy consumption industry, its energy …

[PDF][PDF] Effects of mining on surface water

C Wolkersdorfer, E Mugova - Encyclopedia of Inland Waters, 2022 - wolkersdorfer.info
Mining includes modern, small-scale, and artisanal surface mining, strip mining, placer
mining, underground mining, solution mining, in situ mining, quarrying, or the extraction of …

Mass-Balance-Consistent Geological Stock Accounting: A New Approach toward Sustainable Management of Mineral Resources

MU Simoni, JA Drielsma, M Ericsson… - Environmental …, 2024 - ACS Publications
Global resource extraction raises concerns about environmental pressures and the security
of mineral supply. Strategies to address these concerns depend on robust information on …

[HTML][HTML] Application of machine learning algorithms for nonlinear system forecasting through analytics—A case study with mining influenced water data

KS More, C Wolkersdorfer - Water Resources and Industry, 2023 - Elsevier
Various techniques have been researched and introduced in water treatment plants to
optimise treatment and management processes. This paper presents a solution that can …

Global research progress on mining wastewater treatment: a bibliometric analysis

A Zahoor, G Mao, X Jia, X Xiao, JL Chen - Environmental Science …, 2022 - pubs.rsc.org
Mining wastewater treatment (MWWT) methods have played a vital role in sustainable water
management in recent years. This bibliometric analysis summarized the scientific research …

Predicting and forecasting mine water parameters using a hybrid intelligent system

KS More, C Wolkersdorfer - Water Resources Management, 2022 - Springer
Water treatment plants need to stock chemicals and have enough energy as well as human
resources to operate reliably. To avoid a process interruption, proper planning of these …

Exploring Advanced Statistical Data Analysis Techniques for Interpolating Missing Observations and Detecting Anomalies in Mining Influenced Water Data

KS More, C Wolkersdorfer - ACS ES&T Water, 2023 - ACS Publications
Collecting mining influenced water (MIW) quality data can result in incomplete data sets with
missing values and anomalies, making it challenging to use the data for optimizing mine …

Water management in agriculture and industry: Challenges, trends, and opportunities

E Aivazidou - Sustainability, 2021 - mdpi.com
This Special Issue aims to explore current challenges and trends, as well as opportunities
for sustainability and innovation, in the fields of agricultural and industrial water …