scholarly journals Pilot Unit for Mining Waste Reduction Methods

2013 ◽  
Author(s):  
Veiko Karu ◽  
Tiit Rahe ◽  
Erki Närep ◽  
Vivika Väizene ◽  
Juan Da Costa
Keyword(s):  
Mining Waste ◽  
Waste Reduction ◽  
Pilot Unit ◽  
Reduction Methods

scholarly journals Improvement of Technologies for Mining Waste Management

2015 ◽  
Vol 1 ◽  
pp. 127
Author(s):  
Veiko Karu ◽  
Angela Notton ◽  
Julia Gulevitš ◽  
Ingo Valgma ◽  
Tiit Rahe
Keyword(s):  
Waste Management ◽  
Oil Shale ◽  
Underground Mining ◽  
Good Practice ◽  
Mining Industry ◽  
Mining Waste ◽  
Black Shales ◽  
Waste Reduction ◽  
Main Concern ◽  
Mining Equipment

Mining waste reduction methods include all mining processes beginning from resource distribution until final products in the plant. For comparing and testing possibilities of mine waste reduction, a cooperation project has been set up aiming to create a transnational network with regional networks. The activities carried out on the regional and transnational level will secure better access to knowledge, state-of-the-art technologies and good practice. The study addresses all the waste management challenges and opportunities facing the Baltic Sea Region mining industry, which should be understood as extending to all forms of extraction of natural non-renewable resources. In addition to the main mineral resource, oil shale, there are sufficient reserves of limestone and dolostone, peat, sand, gravel and clay. Phosphorite and granite are considered as occurrences in today's economic situation, in spite of the fact that phosphorite has been extracted for 70 years in the past. All previous mining activities have produced mining waste, e.g. the total volume of waste rock from Estonian oil shale mining is more than 76 million m3 and covers about 790 ha [31] [32] [33] [34]. From an environmental point of view Estonia is in good position, not having acidic reactions and having neutralising alkaline limestone present in all mining areas. Thanks to this, reclamation is easily done with the help of the same mining equipment. Water is purified in settling ponds and does not require additional chemical treatment. For underground mining, the main concern is the stability of the room and pillar mining area [35] [37]. Similar problems are found in Sweden and Finland. In Sweden, there are several old deposits from shale mining, the largest one (Kvarntorp) contains some 40 million m3 of crushed processed black shales and contains several metals of potential value.

scholarly journals Keeping Waste Low through Management: The Socio-ecological Interpretation

2020 ◽  
pp. 125-140
Author(s):  
Arindam Ghosh ◽  
Dibyendu Pal ◽  
Amitava Biswas ◽  
S. K. Acharya
Keyword(s):  
Waste Management ◽  
Waste Recycling ◽  
Waste Reduction ◽  
Generation Process ◽  
Waste Generation ◽  
Operating Variables ◽  
The Social ◽  
Household Water ◽  
Reduction Methods ◽  
Product Proliferation

Waste is a ceaselessly developing issue at worldwide and territorial just as at neighborhood levels. Due to vigorous globalization and product proliferation in recent years, more waste has been produced by the soaring manufacturing activities. The social ecology of waste recycling implies the structural, functional and managerial intervention of waste generation process. The present study takes a look into the approach, process and impact of ongoing waste management process, followed by the both kalyani and jalpaiguri municipalities. A set of agro-ecological, socio-economic and techno managerial factors have been developed by selecting two sets of operating variables. 21 independent variables and one dependent variable i.e. waste reduction methods (y4) were selected for the research. Total one fifty respondents, seventy five from each municipal area have been selected by systematic random sampling. A basket of multivariate analytic techniques have been carried out to isolate and interpret the variables.  Throughout the study it has been observed that in terms of variable behavior and responses there has been stark differences between jalapaiguri and kalyani where as some few variables like income, impact of waste management and recycling on water and micro flora and fauna have recorded the distinct contribution, for jalpaiguri volume of waste generation from household, water consumption per day have gone in the determinant way. But in both municipal areas perception of environmental impact of waste management have recorded equal contribution. So it can be said that improper waste management leads to ecological damage and waste reduction methods will reduce waste generation, improper waste disposal and save our environment and ecology.

scholarly journals Comparative analysis of waste reduction methods for sustainable manufacturing systems using concurrent triangulation model

2020 ◽  
Vol 39 (3) ◽  
pp. 844-852
Author(s):  
Q.A. Kingsley-Omoyibo
Keyword(s):  
Comparative Analysis ◽  
Internal Consistency ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Waste Reduction ◽  
Reliability Test ◽  
Test Results ◽  
Cronbach Alpha ◽  
Reduction Methods

The aim of this study is to carry out a comparative analysis of waste reduction methods for sustainable manufacturing systems using Cronbach alpha and concurrent triangulation model. The objective of this research is to establish an ideal sustainable manufacturing waste disposal method. Reliability test results showed that the Cronbach alpha values used to measure the internal consistency of responses recorded for recycling, reuse, reduce, remanufacture and landfilling were 0.8160 , 0.8100 , 0.7760 , 0.7550 and 0.7340 respectively with recycling recording the highest internal consistency. The concurrent triangulation model recorded results showed that recycling recorded a total of 184 respondents at the highest percentage of 51.11 %, reuse recorded a total of 58 respondents with 16.13 %, remanufacture recorded 43 respondents at 11.94%, reduce recorded a total of 38 respondents at 10.55 %, and Landfilling had 37 respondents with 10.27 %. Hence Recycling was selected as the most appropriate method. Keywords: Concurrent Triangulation model, cronbach alpha, Recycling, Reuse, Remanufacturing, Sustainable manufacturing system.

Perencanaan Sistem Pengurangan Sampah Permukiman Bantaran Sungai Cidurian Kota Bandung

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Raka Maulana ◽  
Yulianti Pratama ◽  
Lina Apriyanti
Keyword(s):  
Waste Management ◽  
River Basin ◽  
River Flow ◽  
Waste Reduction ◽  
Residential Areas ◽  
Community Based ◽  
Inorganic Waste ◽  
Waste Bank ◽  
The City

<p>Some areas in the city of Bandung is an area that dilitasi by the flow of the river, to prevent the introduction of garbage into the river basin is necessary to note the waste management systems in residential areas along the river. Cidurian river has a length of 24.86 Km along the river flow. Consists of the city of Bandung and Bandung regency. Administrative regions Cidurian River past eight (8) districts, from the region in the District Kiaracondong precisely Village Babakan Babakan Sari and Surabaya populous and the most densely populated. Thus, there should be community-based waste management in the form of a reduction in resources to prevent potential entry of waste into the river basin. Planning waste reduction will be divided into two, namely the reduction of inorganic waste with waste bank then the reduction of organic waste with absorption holes biopori, and bio reactor mini determination of the reduction is determined by the results of the analysis of the sampling covers the composition and garbage, then the result of the measurement characteristics test and analysis results questionnaire.</p>

Waste Reduction: A Practical Approach

2011 ◽  
Vol 4 (6) ◽  
pp. 275-277
Author(s):  
Dr. Archana Dadhe ◽  
Keyword(s):  
Waste Reduction ◽  
Practical Approach

Speech Emotion Recognition Based on Sparse Representation

2013 ◽  
Vol 38 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Jingjie Yan ◽  
Xiaolan Wang ◽  
Weiyi Gu ◽  
LiLi Ma
Keyword(s):  
Dimensionality Reduction ◽  
Emotion Recognition ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Speech Emotion Recognition ◽  
Least Squares Regression ◽  
Computer Science Pedagogy ◽  
Reduction Methods ◽  
Analysis Computer

Abstract Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of do- mains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature selection and dimensionality reduction on the whole acquired speech emotion features. By the means of exploiting the SPLSR method, the component parts of those redundant and meaningless speech emotion features are lessened to zero while those serviceable and informative speech emotion features are maintained and selected to the following classification step. A number of tests on Berlin database reveal that the recogni- tion rate of the SPLSR method can reach up to 79.23% and is superior to other compared dimensionality reduction methods.

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