Reduction of hazardous elements contained in sewage sludge incineration ash

Research and experimental studies were carried out in relation to reduction of hazardous elements contained in sewage sludge incineration ash. A questionnaire survey was conducted in 69 Japanese municipalities with sewage sludge incineration facilities. Selenium content in bag filter ash and ceramic filter ash was relatively higher than that in ash of cyclone and electrostatic precipitators. It was assumed that selenium vaporized in the furnace was due to adsorb in the fly ash on filter when passing through the low-temperature filter. To reduce high boiling point heavy metals in the ash, sewage sludge and incineration ash were heated up using a small muffle furnace. As the result, the chrome and nickel contents were reduced. A decrease in the surface area of ash and the reduction of elements occurred at the same time in sewage sludge and incineration ashes tested in this study.     

Microalgae cultured by sewage and organic constituents

The microalgae could be multiplied by supplying only sewage influent or effluent without any additional microalgal stock or nutrient salt. In a semicontinuous culture, the N:P weight ratios consumed were 14:1 and 18:1 for the sewage influent and effluent, respectively. The total cell number and green algae ratio of microalgae cultivated by semicontinuous culture exceeded those of batch culture. No cyanobacterial cells were observed in the semicontinuous culture using the sewage effluent. The organic components in the cultured microalgae using sewage effluent, eluted by n-hexane, were determined. The ratio of unsaturated fatty acid exceeded that of saturated fatty acid, which was possibly attributable to the fluidity of the cell membrane. The squalene was also obtained by the culture using sewage alone, free of any external stock or nutrient salt. The higher heating value of the microalgae of semicontinuous culture using the sewage influent was 25 MJ kg⁻¹, corresponding to the heating value of lignite and showing the potential of the sewage culture microalgae as a means of power generation and combustion aid.     

Incorporation of neural network analysis into a technique for automatically sorting lightweight metal scrap generated by ELV shredder facilities

In an attempt to improve the technique of automatic sorting of lightweight metal scrap by sensing apparent density and three-dimensional shape, realized by the combination of a three-dimensional (3D) imaging camera and a meter to weigh a moving object on a conveyor belt, neural network analysis was integrated into the scrap identification algorithm, and its effect on the sorting accuracy of this technique was examined using approximately 1750 pieces of scrap sampled at three different end-of-life vehicle (ELV) shredder facilities. As a result, the newly developed algorithm, in which an unknown fragment is identified by passing through two discriminant analyses and one neural network analysis, was demonstrated to greatly decrease the time required for data analysis to prepare the identification algorithm without reducing the sorting accuracy. The average sorting accuracy for a mixture of three types of lightweight metal fragments was found to be 85%, based on the fact that the fist-sized fragments of cast aluminum, wrought aluminum, and magnesium sampled at the three ELV shredder facilities had similar apparent densities and 3D shapes. It was also suggested that still higher sorting performance is possible by repeating the procedure of modifying the database and re-learning of the neural network in the identification algorithm.     

Adsorption characteristics of carbonaceous adsorbents for organic pollutants in a model incineration exhaust gas

Adsorption characteristics of carbonaceous adsorbents were examined using 1,2,3,4-tetrachlorobenzene, naphthalene and 2,4,6-tribromophenol as adsorbates. The breakthrough and equilibrium adsorption characteristics were evaluated using laboratory-scale adsorption test equipment. A micropore volume of diameter less than 2 nm is the most important factor governing the adsorption capacity of all adsorbates. A kinetic analysis was performed and the adsorption behavior of the adsorbates was analyzed. Diffusion within porous particles controls the adsorption rate in this system, and the diffusion process is a function of pore diffusion. The operating conditions in working incineration facility adsorbers were reviewed and the breakthrough time of these adsorbents in actual adsorbers was estimated using the mass transfer zone method. Information on the optimal operating conditions of adsorbers was derived from the adsorption breakthrough characteristics.     

Concentration and trend of 9,10-phenanthrenequinone in airborne particulates collected in Nagasaki city, Japan

9,10-Phenanthrenequinone (PQ), one of the components of atmospheric pollutants, has potent harmful effects on human health. PQ in airborne particulates collected in Nagasaki city was determined by HPLC with fluorescence derivatization. PQ extracted from airborne particulates using methanol was derivatized with benzaldehyde in the presence of ammonium acetate to give a fluorescent compound. The average concentration (mean+/-SD, n=52) of PQ found in airborne particulates collected from July 1997 to June 1998 was 0.287+/-0.128 ng m-3. Concentrations of PQ in winter were higher than those in summer. In a weekly variation study, PQ concentrations were higher during weekdays and lower at weekend. The levels of PQ were obviously correlated with those of phenanthrene (PH) that is considered as a parent compound of PQ. This observation suggested that PQ was emitted into the atmosphere from the same source as PH, or PQ was converted from PH in the atmosphere.     

Woodchip-mixing porous mortar’s adsorption of cesium in aqueous media

Journal of Material Cycles and Waste Management - The radioactive cesium (radio-Cs) released following the Fukushima Daiichi Nuclear Power Plant accident was unevenly distributed in soil, sediment,...     

Sensor-based sorting of waste digital devices by CNN-based image recognition using composite images created from mass and 2D/3D appearances

Journal of Material Cycles and Waste Management - To improve the recycling process of waste from electrical products, we developed a sensor-based sorting system using convolutional neural network...