Radiological aspects of the usability of red mud as building material additive

Somlai, J.; Jobbágy, Viktor; Kovács, József; Tarján, S.; Kovács, Tibor

doi:10.1016/j.jhazmat.2007.05.004

Cited by 132 publications

(50 citation statements)

References 23 publications

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“…According to the AWCD values we also found that 5% RM was the maximum dose maintaining its positive effect by the 5 th month. According to Somlai et al, 2008 Hungarian red mud contains 347 Bq/kg 226 Ra, 283 Bq/kg 232 Th and 48 Bq/kg 40 K and it can be applied in brick production as coloring agent at up to 15%, so 5% RM in soil could be acceptable.…”

Section: Discussionmentioning

confidence: 99%

Influence of red mud on soil microbial communities: Application and comprehensive evaluation of the Biolog EcoPlate approach as a tool in soil microbiological studies

Feigl

Ujaczki

Vaszita

et al. 2017

Science of The Total Environment

128

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Red mud can be applied as soil ameliorant to acidic, sandy and micronutrient deficient soils. There are still knowledge gaps regarding the effects of red mud on the soil microbial community. The Biolog EcoPlate technique is a promising tool for community level physiological profiling. This study presents a detailed evaluation of Biolog EcoPlate data from two case studies. In experiment "A" red mud from Ajka (Hungary) was mixed into acidic sandy soil in soil microcosms at 5-50 w/w%. In experiement "B" red mud soil mixture was mixed into low quality subsoil in a field experiment at 5-50 w/w%. According to average well color development, substrate average well color development and substrate richness 5-20% red mud increased the microbial activity of the acidic sandy soil over the short term, but the effect did not last for 10 months. Shannon diversity index showed that red mud at up to 20% did not change microbial diversity over the short term, but the diversity decreased by the 10 th month. 30-50% red mud had deteriorating effect on the soil microflora. 5-20% red mud soil mixture in the low quality subsoil had a long lasting enhancing effect on the microbial community based on all Biolog EcoPlate parameters. However, 50% red mud soil mixture caused a decrease in diversity and substrate richness. With the Biolog EcoPlate we were able to monitor the changes of the microbial community in red mud affected soils and to assess the amount of red mud and red mud soil mixture applicable for soil treatment in these cases.

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Section: Discussionmentioning

confidence: 99%

Influence of red mud on soil microbial communities: Application and comprehensive evaluation of the Biolog EcoPlate approach as a tool in soil microbiological studies

Feigl

Ujaczki

Vaszita

et al. 2017

Science of The Total Environment

128

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“…Raising demand for alumina worldwide has increased the rate of bauxite residue production. Globally, the accumulative storage of bauxite residue has arrived at over 4 billion tons, and is still rapidly increasing [6][7][8], and as yet there is no economic alternative to landfill [9][10][11][12][13]. Therefore, almost all bauxite residue continues to be stored indefinitely in bauxite residue disposal areas (BRDAs) [14,15], which require on-going efforts to manage the waste and lower its potential to contaminate water, occupy land and disturb the surrounding ecology [16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Acid transformation of bauxite residue: Conversion of its alkaline characteristics

Kong

Xue

et al. 2017

Journal of Hazardous Materials

139

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Graphical abstractHighlights  Speciation and transformation of solid and soluble alkalinities were investigated. SEM, NEXAFS, and STXM were used to observe particle morphology and alkaline Na speciation and distribution. Gypsum combination promoted leaching of Na-bearing solids and the replacement of exchangeable Na. The use of organic citric acid to transform bauxite residue alkalinity.ABSTRACT: Bauxite residue (BR) is a highly alkaline solid hazardous waste produced from bauxite processing for alumina production. Alkaline transformation appears to reduce the environmental risk of bauxite residue disposal areas (BRDAs) whilst potentially providing opportunities for the sustainable reuse and on-going management of BR. Mineral acids, a novel citric acid and a hybrid combination of acid-gypsum treatments were investigated for their potential to reduce residue pH and total alkalinity and transform the alkaline mineral phase. XRD results revealed that with the exception of andradite, the primary alkaline solid phases of cancrinite, grossular and calcite were transformed into discriminative products based on the transformation used. Supernatants separated from BR and transformed bauxite residue (TBR) displayed distinct changes in soluble Na, Ca and Al, and a reduction in pH and total alkalinity. SEM images suggest that mineral acid transformations promote macro-aggregate formation, and the positive promotion of citric acid, confirming the removal or reduction in soluble and exchangeable Na. NEXAFS analysis of Na K-edge revealed that the chemical speciation of Na in TBRs was consistent with BR.Three acid treatments and gypsum combination had no effect on Na speciation, which affects the distribution of Na revealed by sodium STXM imaging.

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“…El fosfoyeso (phosphogypsum) es un subproducto de la industria de fertilizantes de fósforo y también se utiliza como material de construcción. El barro rojo es un residuo en la producción de aluminio y con él se fabrican ladrillos, cerámicas y baldosas (Stranden, 1983;Somlai et al, 2008).…”

Section: Hay Productos Industriales Reciclados Que Contienen Materialunclassified

“…En esta sección se explica cómo se ha conseguido reproducir el Mapa Predictivo de Exposición al Radón del CSN 44 , que ha consistido en: 1) El MARNA se dispone en formato ráster (se puede trabajar con él en ArcGIS) y 2) Para tener un control mejor de los datos en Python, se ha convertido al formato netCDF.…”

Section: Elaboración Del Mapa Predictivo De Exposición Al Radónunclassified

“…terms = {} terms = {'Ttotal':'Tasa de exposicion gamma', 44 Recordar la referencia dada en el Capítulo IV al informe técnico del CSN nº 38.2013: "El mapa predictivo de exposición al radón en España". 45 Python también reconoce las tildes, para lo cual es necesario escribir las siguientes dos líneas en el inicio del código: #!/usr/bin/env python y #Este archivo usa el encoding: utf-8.…”

Section: Radon = Npcopy(marna)unclassified

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Estudio del radón en viviendas mediante modelos de minería de datos basados en cubos OLAP

Tobar¹

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.......................................................................................... 7 3.2 .................................................................................... 58 4.3.2.1. Principio de funcionamiento ...................................................................................... 58 4.3.2.2. Detector AlphaGUARD .............................................................................................. 60 4.3.2.3. Detector Radon Scout ............................................................................................... 62 4.3.3. Espectrometría gamma ............................................................................................... de clustering .......................................................................................................... 240 4.3 Algoritmo de asociación ......................................................................................................... 243 vii 5 CONCLUSIONES ....................................................................................................... 246 6 REFERENCIAS ...................................................................................................... 1 CONCLUSIONES .............................................................................................. Figura 50. (a, c). Los espectros wavelet de potencia CWT de las series temporales de radón de la vivienda 'A' y 'B', (b) presión, y (d) la diferencia de densidad del aire entre la vivienda 'A' -'B'. Las unidades de tiempo se han expresado por grupos de tres horas [h*], esto puede referirse igualmente al número de medidas o multiplicando por tres para obtener horas [h]. El COI, que indica la zona fuera del contorno que puede estar afectada por efectos de borde, está delimitado con una línea gruesa blanca. La línea negra es el contorno del 95 %, que muestra el máximo local del espectro wavelet de potencia. La barra de color muestra el espectro de potencia wavelet normalizado por la varianza. .... 202 Figura 51. (a) Espectro wavelet de potencia WCo entre el radón en la vivienda 'A' y 'B', y (b) WCo entre el radón en la vivienda 'A' y presión. Las flechas representan la relación de xi fase entre las series temporales: derecha = en fase, izquierda = antifase (un desfase de 180º entre las series temporales), arriba o abajo = una de las series temporales está con un desfase de 90º respecto a la otra. Las unidades de tiempo y los contornos se han explicado en el letrero El factor de corrección ∆I........................................................................... ResumenEn esta tesis doctoral se estudian las variaciones de radón en el interior de dos viviendas similares de construcción nueva en Madrid, una de ellas ocupada y la otra no, que forman parte del mismo edificio residencial. La concentración de radón y los parámetros ambientales (presión, temperatura y humedad) se midieron durante ocho meses. La monitorización del gas radón se realizó mediante detectores de estado sólido. Simultáneamente, se adquirie...

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Radiological aspects of the usability of red mud as building material additive

Cited by 132 publications

References 23 publications

Influence of red mud on soil microbial communities: Application and comprehensive evaluation of the Biolog EcoPlate approach as a tool in soil microbiological studies

Influence of red mud on soil microbial communities: Application and comprehensive evaluation of the Biolog EcoPlate approach as a tool in soil microbiological studies

Acid transformation of bauxite residue: Conversion of its alkaline characteristics

Estudio del radón en viviendas mediante modelos de minería de datos basados en cubos OLAP

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