waste recovery
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2021 ◽  
pp. 0734242X2110614
Author(s):  
AKM Mohsin ◽  
Lei Hongzhen ◽  
Mohammed Masum Iqbal ◽  
Zahir Rayhan Salim ◽  
Alamgir Hossain ◽  
...  

Forecasting the scale of e-waste recycling is the basis for the government to formulate the development plan of circular economy and relevant subsidy policies and enterprises to evaluate resource recovery and optimise production capacity. In this article, the CH-X12 /STL-X framework for e-waste recycling scale prediction is proposed based on the idea of ‘decomposition-integration’, considering that the seasonal data characteristics of quarterly e-waste recycling scale data may lead to large forecasting errors and inconsistent forecasting results of a traditional single model. First, the seasonal data characteristics of the time series of e-waste recovery scale are identified based on Canova–Hansen (CH) test, and then the time series suitable for seasonal decomposition is extracted with X12 or seasonal-trend decomposition procedure based on loess (STL) model for seasonal components. Then, the Holt–Winters model was used to predict the seasonal component, and the support vector regression (SVR) model was used to predict the other components. Finally, the linear sum of the prediction results of each component is used to obtain the final prediction result. The empirical results show that the proposed CH-X12/STL-X forecasting framework can better meet the modelling requirements for time-series forecasting driven by different seasonal data characteristics and has better and more stable forecasting performance than traditional single models (Holt–Winters model, seasonal autoregressive integrated moving average model and SVR model).


2021 ◽  
Vol 298 ◽  
pp. 113457
Author(s):  
V. Ibáñez-Forés ◽  
C. Coutinho-Nóbrega ◽  
M. Guinot-Meneu ◽  
M.D. Bovea

2021 ◽  
Vol 171 ◽  
pp. 113866
Author(s):  
Tiziana Danise ◽  
Michele Innangi ◽  
Elena Curcio ◽  
Simona Piccolella ◽  
Antonietta Fioretto ◽  
...  

Author(s):  
Kulyash Meiramkulova ◽  
Gulmira Adilbektegi ◽  
Galym Baituk ◽  
Aigul Kurmanbayeva ◽  
Anuarbek Kakabayev ◽  
...  

Waste recovery is an important aspect towards human and environmental health protection. Unfortunately, proper food waste management is among the serious challenges in the field of solid waste management worldwide. Therefore, it is of great importance to conduct studies towards achieving efficient and cost-effective approaches for food waste management. This study investigated the potential of recovering food waste through maggots’ production as animal feed. The influence of fly attractant application on maggot production was also investigated. The study also investigated the potential of maggot production for waste recovery and reduction. Four different types of food waste (starch food leftovers, rotten bananas and peels, rotten pineapple and peels, and rotten oranges) were used in the investigation process. From the results, it was observed that the application of fly attractants had a significant effect on the production of maggots as determined by the weights after harvesting. Average weight of 94 g/kg of maggot was achieved from banana materials with an application of fly attractant during the 8th day of the cultivation; which is equivalent to a 32.4% increase from the same day when the material was cultured without applying fly attractant. Also, from the starch materials, about 77 g/kg of maggot weight was achieved; which is a 54.6% increase from the same day and the same material but without application of fly attractant. Moreover, the relative dry weight reduction in the trials varied from 52.5% to 82.4%.


Author(s):  
Othman Cherkaoui Dekkaki ◽  
Noha El Khattabi ◽  
Nadia Raissi

Author(s):  
Rehan Shaikh

Rapidly growing urbanization and increasing population in all over the world, causing dynamic increase in the amount of waste disposal. Dumping of waste has become a matter of concern all over the world because of the threat to the environment. There comes the pivotal role of the automatic waste segregation system which avoid this unfortunate situation and it also reduces the difficulty of recycling. Currently there is no such system for segregation of metal, dry, and wet waste. This work proposes a On spot automatic waste segregation system that gives the solution to this problem. The benefits of this work are, high potential for waste recovery and the occupational hazards of waste separating workers also reduces.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Furkan Demirtas ◽  
Nuray Ates

The greatest danger for a healthy world is releasing greenhouse gases into the environment as a result of the industrialization activities in all countries. These released gases play an important role in damaging the health of human beings as well as of destroying nature. In addition to sustainable development practices in order to reduce emissions, it is also necessary to implement clean environment rules. In this study, the carbon footprint of a Waste Recovery/Recycle Facility within the borders of Kayseri Province as results of its operations was evaluated. Correspondingly, the amount of carbon footprint of transportation of waste collection, heating, and electricity usage in the plant site during operations has been examined. Tier 1 and Tier 2 methodologies developed by the Intergovernmental Panel on Climate Change (IPCC) were used to determine the carbon footprint of the facility. As a result, transportation activity due to waste collection contributes to the highest share of carbon footprint with 76.8%. The carbon footprint, which is caused by consumption of natural gas for heating with 23.1%, follows the transportation. Electricity usage has a share of less than 0.1%. The total CO2 emission of the plant was 132711 tons, while the CO2 emission amounts of transportation, heating and electricity use were found to be 102000 tons, 30700 tons and 11 tons, respectively.


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