Prediction of Municipal Solid Waste Production in Changchun City Based on Gray Model GM(1,5)

2012 ◽  
Vol 178-181 ◽  
pp. 799-803 ◽  
Author(s):  
Chun Qing Wang ◽  
Xin Dong Wei ◽  
Xiao Ling Wang
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Prediction Models ◽  
Gray Relational Analysis ◽  
Impact Factors ◽  
Gray Model ◽  
Waste Production ◽  
Relational Degree ◽  
Changchun City ◽  
Set Up

Using gray relational analysis, the relational degree between the production and impact factors of municipal solid waste (MSW) is calculated. Based on gray model GM(1,5) and gray model GM(1,1), the prediction models of MSW production were set up, on which base, MSW production from 2010 to 2020 in Changchun city is predicted. The result shows the waste production prediction models on gray theory have minimal residuals, higher precision and a relatively high relational degree, and by 2020, MSW production in Changchun City will reach 228.67×104 t by estimation.

scholarly journals PENGELOLAAN SAMPAH PLASTIK DI SALATIGA: Praktik, dan tantangan

2019 ◽  
Vol 17 (1) ◽  
pp. 90
Author(s):  
Berliana Anggun Septiani ◽  
Dian Mita Arianie ◽  
Via Fide Aditya Andi Risman ◽  
Widhi Handayani ◽  
Istiarsi Saptuti Sri Kawuryan
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Treatment ◽  
Solid Waste Management ◽  
Plastic Waste ◽  
Municipal Solid Waste Management ◽  
Waste Production ◽  
The Government

The increase of solid waste production is a general problem in municipality, particularly of plastic waste. The durability, light-weight, anticorrosiveness, and inexpensiveness properties of plastic make it favorable to be used in daily life, including in Salatiga. However, plastic is one of some non-biodegradable materials that could lead to soil and water pollution as it contains toxic compounds such as aromatic hydrocarbons, phthalates, and organochlorine. Various studies in municipal solid waste management have been conducted. While those studies often applied various approaches separately, researches in regard to the role of stakeholders in municipal solid waste management are very limited. This study aims to explain the plastic waste management in Salatiga based on the role of the corresponding stakeholders. This qualitative study shows that there are four stakeholders who were involved in municipal plastic waste management in Salatiga. They were the households who generate wastes, the scavengers who sorts the wastes, Bank Sampah and collectors who have the same role in order to collect the wastes and treat the plastic wastes through reusing or recycling processes, and the government. Currently, efforts in waste treatment in Salatiga are focused on the system of collecting-tranferring-disposal mode, waste treatment by reuse and recycle processing, and landfilling. Reducing plastic consumption must take into account the sociocultural aspect and environmental awareness, as the people still interested to use plastic instead of using other materials in substitution. Finally, the role of government is central to educate the community in term of sorting activities and reducing waste production, build the capacity of Bank Sampah, and manage the role of scavengers and collectors. Other alternatives include creating synergy between the collectors and Bank Sampah, as well as ensuring final treatment of the unprocessed wastes disposed by collectors and Bank Sampah. 

scholarly journals Anaerobic Co-digestion of Organic Fraction of Municipal Solid waste and Septage for Sustainable Waste Treatment: A Case Study from Goa, India

2021 ◽  
Vol 1 (3) ◽  
pp. 1-8
Author(s):  
Ravikiran Shet ◽  
Srikanth Mutnuri
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Treatment ◽  
Biogas Production ◽  
Pilot Scale ◽  
Anaerobic Digester ◽  
Full Scale ◽  
Organic Fraction ◽  
Set Up

India generates 0.15 million metric tons (MT) of solid waste per day out of which more than 80% is organic fraction. Apart from this, 38% of the households use septic tanks where proper disposal of faecal sludge is also need of the hour. Anaerobic co-digestion (ACD) of two different substrates has positive potential towards solving this problem. In the present study, ACD of organic fraction of municipal solid waste (OFMSW) and septage solids (SS) was studied at three different levels, i.e., lab-scale, pilot-scale (1 m3), and full scale- capacity (325 m3). A loading rate of 1.5 kg VS/m3 was selected. The bio-methanation potential (BMP) assay showed a maximum biogas generation, i.e., 120±20.6 mL/gmVS with 68% maximum methane concentration at a 5:1 OFMSW and SS ratio. Cumulative biogas production after 30 days was 1.6 L/gmVS. The ultimate biogas production in the pilot-scale plant was 1000±100.5 L/day with 71% methane. The plant was also efficient in removing 87% of COD and 61% of VS. The full-scale anaerobic digester was set up at Mormugao Municpal Council, Goa India wherein the objective was to co-digest OFMSW and SS. This digester showed a similar removal pattern like earlier studies i.e., 94% and 45% COD and VS removal, respectively. The average methane content of the biogas was 68%. Full-scale operation of the anaerobic digester did not show any operational problems at the chosen co-digestion conditions.

scholarly journals Electricity Generation Forecast of Shanghai Municipal Solid Waste Based on Bidirectional Long and Short Time Memory Model

2021 ◽  
Author(s):  
Bingchun Liu ◽  
Ningbo Zhang ◽  
Qingshan Wang
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Environmental Sustainability ◽  
Electricity Generation ◽  
Information Source ◽  
Scientific Information ◽  
Memory Model ◽  
Waste Production ◽  
Short Time ◽  
Structural Methods

Abstract Accurate prediction of Municipal Solid Waste electricity generation is very important for the fine management of cities. In this study, Shanghai was taken as the research object, and six influencing factors of Municipal Solid Waste production were used as input indexes to realize the effective prediction of Municipal Solid Waste production through constructing a neural network model based on bidirectional long short term memory. At the same time, based on the predicted results and the forecast formula of MSW electricity generation, this study realized the harmless treatment of Municipal Solid Waste in Shanghai. Firstly, the economic, demographic, and social indicators related to Municipal Solid Waste were determined. Secondly, the bidirectional long and short time memory model is used to learn the features of the input indexes. Finally, the electricity generation capacity of Shanghai municipal solid waste in the next six years is predicted with the municipal solid waste electricity generation formula. The experimental results show that, firstly, the MAPE value of the bidirectional long and short time memory combination model established in this paper is 7.390, and the prediction performance of this model is better than that of the other five structural methods. Second, it is predicted that in 2025, the maximum electricity generation of Shanghai Municipal Solid Waste under the three scenarios will be 512752MkW, and the minimum electricity generation of Shanghai Municipal Solid Waste will be 260668MkW. Finally, this paper can be used as a scientific information source for environmental sustainability decision-making of domestic Municipal Solid Waste electricity generation technology.

scholarly journals Landfill problems and solutions in Latvia

2019 ◽  
pp. 297-302
Author(s):  
Llze Donina
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Disposal ◽  
Solid Waste Management ◽  
Short Description ◽  
Municipal Solid Waste Management ◽  
Historical Overview ◽  
Problems And Solutions ◽  
Set Up

This paper describes existing situation of landfilling of waste in Latvia, including historical overview of waste disposal in Latvia, institutional set-up, existing waste disposal situation, dumpsite management, environmental impacts of disposal sites. A short description of municipal solid waste management is provided in this paper, in order to characterise possible solutions for waste landfilling problems in Latvia.

Greenhouse gas emission from covered windrow composting with controlled ventilation

2011 ◽  
Vol 30 (2) ◽  
pp. 155-160 ◽  
Author(s):  
Evgheni Ermolaev ◽  
Mikael Pell ◽  
Sven Smårs ◽  
Cecilia Sundberg ◽  
Håkan Jönsson
Keyword(s):  
Municipal Solid Waste ◽  
Greenhouse Gas ◽  
Solid Waste ◽  
Greenhouse Gas Emission ◽  
Ghg Emissions ◽  
Control Schemes ◽  
Ambient Concentrations ◽  
Forced Aeration ◽  
Set Up ◽  
Windrow Composting

Data on greenhouse gas (GHG) emissions from full-scale composting of municipal solid waste, investigating the effects of process temperature and aeration combinations, is scarce. Oxygen availability affects the composition of gases emitted during composting. In the present study, two experiments with three covered windrows were set up, treating a mixture of source separated biodegradable municipal solid waste (MSW) fractions from Uppsala, Sweden, and structural amendment (woodchips, garden waste and re-used compost) in the volume proportion 1:2. The effects of different aeration and temperature settings on the emission of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) during windrow composting with forced aeration following three different control schemes were studied. For one windrow, the controller was set to keep the temperature below 40 °C until the pH increased, another windrow had minimal aeration at the beginning of the process and the third one had constant aeration. In the first experiment, CH4 concentrations (CH4:CO2 ratio) increased, from around 0.1% initially to between 1 and 2% in all windrows. In the second experiment, the initial concentrations of CH4 displayed similar patterns of increase between windrows until day 12, when concentration peaked at 3 and 6%, respectively, in two of the windrows. In general, the N2O fluxes remained low (0.46 ± 0.02 ppm) in the experiments and were two to three times the ambient concentrations. In conclusion, the emissions of CH4 and N2O were low regardless of the amount of ventilation. The data indicates a need to perform longer experiments in order to observe further emission dynamics.

Hydrochars from compost derived from municipal solid waste: Production process optimization and catalytic applications

2021 ◽  
Vol 9 (1) ◽  
pp. 104888 ◽  
Author(s):  
Fernanda F. Roman ◽  
Jose L. Diaz de Tuesta ◽  
Paulo Praça ◽  
Adrián M.T. Silva ◽  
Joaquim L. Faria ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Production Process ◽  
Solid Waste ◽  
Process Optimization ◽  
Waste Production ◽  
Catalytic Applications
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