Review of the Valorization of Normalized Red Mud as Environmentally Sustainable Waste Management

The Red Mud has focused through major industrial and scientific research in industrial waste valorization. Red mud is the discarded produce of alumina extraction processes from its parent the bauxite ore. Its high alkalinity causes it to be kept in large quantities, resulting in increased deforestation. Annually, it is estimated that 64.2 MMT of red mud wastes are formed around the world, and India produces about 9MMT with less hope of being reused, posing a serious threat of pollution and contamination of both soil, ground water and the environment. Large numbers of research have shown that this bauxite solid waste can be refurbished to make construction bricks, pavement tiles, ceramic materials, but no full large-scale benign re-utilization have been made. The intent of the research is to probe in to the applications of red mud in the construction and various sectors, giving emphasis on Indian context. Other researchers' observations were considered and analyzed in terms of environmental, economic, and technical feasibility to fulfill zero waste demand due to red mud.

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Current key options for management of industrial alkaline waste of alumina production (red mud)

E3S Web of Conferences ◽

10.1051/e3sconf/202128401003 ◽

2021 ◽

Vol 284 ◽

pp. 01003

Author(s):

Htet Ye Aung ◽

Alexander Boyarintsev ◽

Sergey Stepanov ◽

Andrei Shoustikov

Keyword(s):

Red Mud ◽

Large Scale ◽

Cost Effective ◽

Industrial Wastes ◽

Toxic Waste ◽

Alumina Production ◽

The Sustainable Development ◽

The World ◽

Liquid Products ◽

Bauxite Ore

Due to the ever-increasing demand of the world economy for aluminum, its alloys and compounds, the production of this metal is increasing annually throughout the world. This leads to an increase in the industrial production of alumina, which is obtained from bauxite ore in the Bayer process. After recovering the bulk of the aluminum from the bauxite ore, there remains a residue which is highly alkaline toxic waste, which is also called bauxite residues (tailings) or red mud (RM). About 140-150 million tons of RM are produced annually and almost 4 billion tons have already been accumulated. At the moment, the problem of RM recycling and the development of effective and cost-effective approaches to their reprocessing is extremely urgent. Reducing RM affects economic, environmental, social areas and is a prerequisite for the sustainable development of nature and society. Despite active scientific research and efforts to develop and optimize various methods for RM recycling and reprocessing, the problem of an annual increase in their volumes around the world remains unresolved. Recently, promising and efficient processes have been proposed that allows for the complex reprocessing of RM with the extraction of a number of valuable liquid products that may be in demand in various fields of industry. This allows to focus on large-scale disposal of RM and can be a solution to the problem of handling these industrial wastes. The article considers the main current trends in the field of management of various types of RM with a focus on complex reprocessing and zero waste concepts.

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Computer Analyses in Preventive Health Research

Methods of Information in Medicine ◽

10.1055/s-0038-1636287 ◽

1967 ◽

Vol 06 (01) ◽

pp. 8-14 ◽

Cited By ~ 11

Author(s):

M. F. Collen

Keyword(s):

Medical Research ◽

Preventive Medicine ◽

Health Research ◽

Large Scale ◽

Preventive Health ◽

New Era ◽

Large Numbers ◽

Normal Test ◽

Computer Analyses

The utilization of an automated multitest laboratory as a data acquisition center and of a computer for trie data processing and analysis permits large scale preventive medical research previously not feasible. Normal test values are easily generated for the particular population studied. Long-term epidemiological research on large numbers of persons becomes practical. It is our belief that the advent of automation and computers has introduced a new era of preventive medicine.

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Sustainable Spatial Energy Planning of Large-Scale Wind and PV Farms in Israel: A Collaborative and Participatory Planning Approach

Energies ◽

10.3390/en14030551 ◽

2021 ◽

Vol 14 (3) ◽

pp. 551

Author(s):

Sofia Spyridonidou ◽

Georgia Sismani ◽

Eva Loukogeorgaki ◽

Dimitra G. Vagiona ◽

Hagit Ulanovsky ◽

...

Keyword(s):

Large Scale ◽

Wind Farms ◽

Field Investigation ◽

Participatory Planning ◽

Energy Planning ◽

Environmentally Sustainable ◽

Selection Processes ◽

Planning Framework ◽

Planning Approach ◽

Near Future

In this work, an innovative sustainable spatial energy planning framework is developed on national scale for identifying and prioritizing appropriate, technically and economically feasible, environmentally sustainable as well as socially acceptable sites for the siting of large-scale onshore Wind Farms (WFs) and Photovoltaic Farms (PVFs) in Israel. The proposed holistic framework consists of distinctive steps allocated in two successive modules (the Planning and the Field Investigation module), and it covers all relevant dimensions of a sustainable siting analysis (economic, social, and environmental). It advances a collaborative and participatory planning approach by combining spatial planning tools (Geographic Information Systems (GIS)) and multi-criteria decision-making methods (e.g., Analytical Hierarchy Process (AHP)) with versatile participatory planning techniques in order to consider the opinion of three different participatory groups (public, experts, and renewable energy planners) within the site-selection processes. Moreover, it facilitates verification of GIS results by conducting appropriate field observations. Sites of high suitability, accepted by all participatory groups and field verified, form the final outcome of the proposed framework. The results illustrate the existence of high suitable sites for large-scale WFs’ and PVFs’ siting and, thus, the potential deployment of such projects towards the fulfillment of the Israeli energy targets in the near future.

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Development of a Radar Reflector Kit for Older Adults to Use to Signal Their Location and Needs in a Large-Scale Earthquake Disaster

Remote Sensing ◽

10.3390/rs13101883 ◽

2021 ◽

Vol 13 (10) ◽

pp. 1883

Author(s):

Yuma Morisaki ◽

Makoto Fujiu ◽

Ryoichi Furuta ◽

Junichi Takayama

Keyword(s):

Older Adults ◽

Synthetic Aperture Radar ◽

Satellite Imagery ◽

Disaster Response ◽

Large Scale ◽

Synthetic Aperture ◽

Earthquake Disaster ◽

Large Numbers ◽

The World ◽

Vulnerable People

In Japan, older adults account for the highest proportion of the population of any country in the world. When large-scale earthquake disasters strike, large numbers of casualties are known to particularly occur among seniors. Many are physically or mentally vulnerable and require assistance during the different phases of disaster response, including rescue, evacuation, and living in an evacuation center. However, the growing number of older adults has made it difficult, after a disaster, to quickly gather information on their locations and assess their needs. The authors are developing a proposal to enable vulnerable people to signal their location and needs in the aftermath of a disaster to response teams by deploying radar reflectors that can be detected in synthetic aperture radar (SAR) satellite imagery. The purpose of this study was to develop a radar reflector kit that seniors could easily assemble in order to make this proposal feasible in practice. Three versions of the reflector were tested for detectability, and a sample of older adults was asked to assemble the kits and provide feedback regarding problems they encountered and regarding their interest in using the reflectors in the event of a large-scale disaster.

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System design for inferring colony-level pollination activity through miniature bee-mounted sensors

Scientific Reports ◽

10.1038/s41598-021-82537-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Haron M. Abdel-Raziq ◽

Daniel M. Palmer ◽

Phoebe A. Koenig ◽

Alyosha C. Molnar ◽

Kirstin H. Petersen

Keyword(s):

Data Acquisition ◽

Honey Bees ◽

Large Scale ◽

Physical World ◽

Cluttered Environments ◽

Robotic Mapping ◽

Large Scale Data ◽

Trade Offs ◽

Large Numbers ◽

Engineered Systems

AbstractIn digital agriculture, large-scale data acquisition and analysis can improve farm management by allowing growers to constantly monitor the state of a field. Deploying large autonomous robot teams to navigate and monitor cluttered environments, however, is difficult and costly. Here, we present methods that would allow us to leverage managed colonies of honey bees equipped with miniature flight recorders to monitor orchard pollination activity. Tracking honey bee flights can inform estimates of crop pollination, allowing growers to improve yield and resource allocation. Honey bees are adept at maneuvering complex environments and collectively pool information about nectar and pollen sources through thousands of daily flights. Additionally, colonies are present in orchards before and during bloom for many crops, as growers often rent hives to ensure successful pollination. We characterize existing Angle-Sensitive Pixels (ASPs) for use in flight recorders and calculate memory and resolution trade-offs. We further integrate ASP data into a colony foraging simulator and show how large numbers of flights refine system accuracy, using methods from robotic mapping literature. Our results indicate promising potential for such agricultural monitoring, where we leverage the superiority of social insects to sense the physical world, while providing data acquisition on par with explicitly engineered systems.

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Influence of Sodium Sulfate Addition on Iron Grain Growth during Carbothermic Roasting of Red Mud Samples with Different Basicity

Metals ◽

10.3390/met10121571 ◽

2020 ◽

Vol 10 (12) ◽

pp. 1571

Author(s):

Pavel Grudinsky ◽

Dmitry Zinoveev ◽

Denis Pankratov ◽

Artem Semenov ◽

Maria Panova ◽

...

Keyword(s):

Magnetic Separation ◽

Grain Growth ◽

Red Mud ◽

Sodium Sulfate ◽

Phase Distribution ◽

Solid Phase ◽

Alumina Production ◽

Metallic Particles ◽

Iron Phase ◽

High Alkalinity

Red mud is an iron-containing waste of alumina production with high alkalinity. A promising approach for its recycling is solid-phase carbothermic roasting in the presence of special additives followed by magnetic separation. The crucial factor of the separation of the obtained iron metallic particles from gangue is sufficiently large iron grains. This study focuses on the influence of Na2SO4 addition on iron grain growth during carbothermic roasting of two red mud samples with different (CaO + MgO)/(SiO2 + Al2O3) ratio of 0.46 and 1.21, respectively. Iron phase distribution in the red mud and roasted samples were investigated in detail by Mössbauer spectroscopy method. Based on thermodynamic calculations and results of multifactorial experiments, the optimal conditions for the roasting of the red mud samples with (CaO + MgO)/(SiO2 + Al2O3) ratio of 0.46 and 1.21 were duration of 180 min with the addition of 13.65% Na2SO4 at 1150 °C and 1350 °C followed by magnetic separation that led to 97% and 83.91% of iron recovery, as well as 51.6% and 83.7% of iron grade, respectively. The mechanism of sodium sulfate effect on iron grain growth was proposed. The results pointed out that Na2SO4 addition is unfavorable for the red mud carbothermic roasting compared with other alkaline sulfur-free additives.

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Change in abundance of dugongs in Shark Bay, Ningaloo and Exmouth Gulf, Western Australia: evidence for large-scale migration

Wildlife Research ◽

10.1071/wr02073 ◽

2004 ◽

Vol 31 (3) ◽

pp. 283 ◽

Cited By ~ 42

Author(s):

Nick Gales ◽

Robert D. McCauley ◽

Janet Lanyon ◽

Dave Holley

Keyword(s):

Marine Protected Areas ◽

Large Scale ◽

Population Demographics ◽

Shark Bay ◽

Ningaloo Reef ◽

Aerial Surveys ◽

Large Numbers ◽

Plausible Hypothesis ◽

Exmouth Gulf ◽

Regional Abundance

The third in a series of five-yearly aerial surveys for dugongs in Shark Bay, Ningaloo Reef and Exmouth Gulf was conducted in July 1999. The first two surveys provided evidence of an apparently stable population of dugongs, with ~1000 animals in each of Exmouth Gulf and Ningaloo Reef, and 10 000 in Shark Bay. We report estimates of less than 200 for each of Exmouth Gulf and Ningaloo Reef and ~14 000 for Shark Bay. This is an apparent overall increase in the dugong population over this whole region, but with a distributional shift of animals to the south. The most plausible hypothesis to account for a large component of this apparent population shift is that animals in Exmouth Gulf and Ningaloo Reef moved to Shark Bay, most likely after Tropical Cyclone Vance impacted available dugong forage in the northern habitat. Bias associated with survey estimate methodology, and normal changes in population demographics may also have contributed to the change. The movement of large numbers of dugongs over the scale we suggest has important management implications. First, such habitat-driven shifts in regional abundance will need to be incorporated in assessing the effectiveness of marine protected areas that aim to protect dugongs and their habitat. Second, in circumstances where aerial surveys are used to estimate relative trends in abundance of dugongs, animal movements of the type we propose could lead to errors in interpretation.

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MIC-Drop: A platform for large-scale in vivo CRISPR screens

Science ◽

10.1126/science.abi8870 ◽

2021 ◽

pp. eabi8870

Author(s):

Saba Parvez ◽

Chelsea Herdman ◽

Manu Beerens ◽

Korak Chakraborti ◽

Zachary P. Harmer ◽

...

Keyword(s):

Large Scale ◽

Cultured Cells ◽

Cardiac Development ◽

Droplet Microfluidics ◽

Model Organisms ◽

Genetic Screens ◽

Large Numbers ◽

And Function ◽

Genome Scale

CRISPR-Cas9 can be scaled up for large-scale screens in cultured cells, but CRISPR screens in animals have been challenging because generating, validating, and keeping track of large numbers of mutant animals is prohibitive. Here, we report Multiplexed Intermixed CRISPR Droplets (MIC-Drop), a platform combining droplet microfluidics, single-needle en masse CRISPR ribonucleoprotein injections, and DNA barcoding to enable large-scale functional genetic screens in zebrafish. The platform can efficiently identify genes responsible for morphological or behavioral phenotypes. In one application, we show MIC-Drop can identify small molecule targets. Furthermore, in a MIC-Drop screen of 188 poorly characterized genes, we discover several genes important for cardiac development and function. With the potential to scale to thousands of genes, MIC-Drop enables genome-scale reverse-genetic screens in model organisms.

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Study on Rapid Archival Technology of Bullets Based on Graph Convolutional Neural Network

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2022.66.4.040401 ◽

2021 ◽

Author(s):

Shi-bo Pan ◽

Di-lin Pan ◽

Nan Pan ◽

Xiao Ye ◽

Miaohan Zhang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Neural Network Model ◽

Dynamic Time Warping ◽

Large Scale ◽

Line Graph ◽

High Accuracy ◽

Time Warping ◽

Large Numbers ◽

Dynamic Time

Traditional gun archiving methods are mostly carried out through bullets’ physics or photography, which are inefficient and difficult to trace, and cannot meet the needs of large-scale archiving. Aiming at such problems, a rapid archival technology of bullets based on graph convolutional neural network has been studied and developed. First, the spot laser is used to take the circle points of the bullet rifling traces. The obtained data is filtered and noise-reduced to make the corresponding line graph, and then the dynamic time warping (DTW) algorithm convolutional neural network model is used to perform the processing on the processed data. Not only is similarity matched, the rapid matching of the rifling of the bullet is also accomplished. Comparison of experimental results shows that this technology has the advantages of rapid archiving and high accuracy. Furthermore, it can be carried out in large numbers at the same time, and is more suitable for practical promotion and application.

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Assessment of Naturally Occurring Radioactive Materials (NORM) in Mining Residues and Environmental Material from Sefwi, Awaso Bauxite Mine

10.21203/rs.3.rs-551561/v1 ◽

2021 ◽

Author(s):

Matjele Moipone ◽

Oscar K. Adukpo ◽

Joseph B. Tandoh

Keyword(s):

Effective Dose ◽

Water Samples ◽

Red Mud ◽

Gamma Ray ◽

Gamma Ray Spectrometry ◽

Activity Levels ◽

Environmental Material ◽

Bauxite Ore ◽

Mining Residues ◽

Bauxite Mine

Abstract Gamma ray spectrometry was used to quantify level of NORM in mining residues sampled at Awaso bauxite mine and surrounding communities. The radionuclides of interest were 238U, 232Th and 40K and the radioactivity levels were determined in soil, bauxite ore, red mud and water samples from wells. The radioactivity concentrations in soil, bauxite ore and red mud 238U, 232Th and 40K were 18.01±1.96 Bqkg-1, 19.07±2.12 Bqkg-1 and 103.21±1.74 Bqkg-1; 39.42±4.18 Bqkg-1, 97.32±10.63 Bqkg-1 and 14.68±1.82 Bqkg-1; 44.85±4.79, 64.23±6.58 and 125.30±18.72 Bqkg-1. The activity levels for both 232U and 232Th were above world-wide average values while Potassium-40 levels were lower. The mean activity concentration values of 238U, 232Th and 40K in water samples were 1.49±0.45 Bql-1, 3.68±0.69 Bql-1 and 15.69±0.28 Bql-1 respectively and were within the world average activity concentrations except for bauxite ore and red mud. The committed effective dose was 0.74 mSv and annual effective dose estimated to be 0.136 mSv which is below recommended dose limit of 1 mSvyear-1 for public exposure.

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