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

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.

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Study on production process of soluble pollutants in anaerobic landfill layer of municipal solid waste.

Doboku Gakkai Ronbunshu ◽

10.2208/jscej.1987.381_217 ◽

1987 ◽

pp. 217-225

Author(s):

Nobutoshi TANAKA ◽

Keiichi KOYAMA

Keyword(s):

Municipal Solid Waste ◽

Production Process ◽

Solid Waste

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.178-181.799 ◽

2012 ◽

Vol 178-181 ◽

pp. 799-803 ◽

Cited By ~ 1

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.

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

10.21203/rs.3.rs-568979/v1 ◽

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.

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