With the rapid increase of municipal solid waste (MSW), the phenomenon of waste siege exists all over the world. To solve this problem, waste classification is wildly applied. Previous studies have shown that residents'' support for laws and policies, as a critical factor, is often conducive to waste classification. At present, governments
We tracked the classification efficiency of municipal solid waste, physicochemical characteristics of separated waste, and the carbon emissions arising
Following rapid economic development and urbanization, the classification of municipal solid waste (MSW) has become an urgent problem. This study analyzes the multiple subjects, including government, residents, and
Life cycle impact assessment of garbage-classification based municipal solid waste management systems: a comparative case study in China Int. J. Environ. Res. Publ. Health, 17 (15) (2020), 10.3390/ijerph17155310 Google
Benefits analysis of classification of municipal solid waste based on system dynamics J. Clean. Prod., 279 (5–8) (2020), Article 123686 Google Scholar Wang et al., 2017 C. Wang, Q. Sun, L. Zuo Research on theories and methods of
Definition of Solid Waste. Solid wastes are the organic and inorganic waste materials such as product packaging, grass clippings, furniture, clothing, bottles, kitchen refuse, paper, appliances, paint cans, batteries, etc. These wastes are produced in our society and generally do not carry any value to its first user.
Deep learning facilitates waste segregation by analysing waste images, utilising components like Convolutional Neural Networks (CNNs) to classify waste such as plastic, paper, metal, glass, and
Municipal solid waste (MSW) in China (especially in eastern coastal regions), Berlin, Tokyo and Singapore are presented in terms of background information (i.e., MSW generation, population, GDP/GRP), laws (acts, regulations, policies) for MSW
National and local governments implement municipal solid waste classification policies to reduce waste disposal and minimize environmental pollution. Beijing started implementing its classification of municipal solid waste policy in May 2020. This study evaluates the impact of Beijing''s household waste classification policy on
Classification of municipal solid waste disproportionately stresses the mandatory separation and lacks attention to people'' growth needs. Cao and Qin (2015) A regulatory system had been lackadaisical in addressing the issues arising from the new requirement of state mandate.
Scientific classification and resource utilization of the municipal solid waste (MSW) have become a priority. In China, urban garbage classification legislative work is in its initial stage, and
This study aims to investigate the influencing factors and combination paths of policy reinvention in the Municipal Solid Waste Classification Policy
They consists of earth, stones, concrete, bricks, lumber, steel, roofing materials, plumbing materials, heating systems and electrical wires. Sewage wastes/sludge. Settled solid components, residual or semi-solid materials that are discharged from sewage treatment plants and septic tanks are classified as sewage waste.
Municipal solid waste (MSW) incineration, which can efficiently reduce the mass and volume and recycle energy, is recognized as promising in MSW disposal [1]. Grate-firing technology, one of the key combustion technologies, has been widely used in MSW incineration due to its stability and flexibility.
MSWM includes the processes and actions required to manage waste from its inception to final disposal (Bello et al., 2022).MSW treatment and disposal methods in the USA did not change much between 2003 and 2018 (Fig. 2 a and b), and the main difference was that approximately 6.1 % of the MSW in 2018 was treated using other
For instance, Malik et al. [] discussed an AI framework that incorporates intelligent recognition and management strategies to improve municipal solid waste image classification. Wang et al. [ 11 ] used MobileNetV3 and IoT technology to achieve high-precision identification of garbage, including plastic, paper, and more.
Municipal solid waste (MSW) has been normally sorted into six categories, namely, food residue, wood waste, paper, textiles, plastics, and rubber. In each category, materials could be classified further into subgroups. Based on proximate and ultimate analysis and heating value, statistical methods such as analysis of variance (ANOVA) and
Analysis of the Barrier Factors of Municipal Solid Waste Classification Recycling. Y. Wu, L. Xu. Published 1 August 2013. Environmental Science. Advanced Materials Research. Many cities in China are facing a "junk siege" dilemma, municipal solid waste classified recycling is one of the effective disposal methods of garbage scientific management
China, the world''s second largest economy, has been facing a growing municipal solid waste (MSW) disposal problem. How to choose and implement the MSW classification policy in line with China''s national conditions
Municipal solid waste in Hong Kong includes the following sources: Domestic solid waste, which comes from households and public areas, including waste collected from
The Regulation of Shenzhen City on the Management of Municipal Solid Waste Classification has been implemented since September 2020. To investigate the impact of MSW classification on PCDD/Fs and other flue gas pollutants, a five-year experiment was conducted from 2018 to 2022.
In Korea, the waste disposal methods are largely classified into landfill, incineration, recycling, etc. and the amount of incinerated waste has risen by 24.5% from 2002. In the analysis of CO₂emissions estimations of waste incinerators fossil carbon content are main factor by the IPCC. FCF differs depending on the characteristics of waste in
This study aims to investigate the influencing factors and combination paths of policy reinvention in the Municipal Solid Waste Classification Policy (MSWCP). To achieve this, a theoretical framework encompassing internal factors, intergovernmental relations, and external influence has been constructed.
Municipal solid waste (MSW) has been normally sorted into six categories, namely, food residue, wood waste, paper, textiles, plastics, and rubber. In
The research indicates that AI technology can improve accuracy, efficiency, and cost-effectiveness in waste classification, contributing to environmental sustainability and public health, however, the effectiveness of AI applications in diverse city contexts requires further verification. This paper proposes a framework for AI-driven
Waste collection, classification, and planning have become crucial as industrialization and smart city advancement activities have increased. A recycling process of waste relies on the ability to retrieve the characteristics as it was in their natural position, and it reduces pollution and helps in a sustainable environment. Recently, deep learning
The Chemical Waste Treatment Centre on Tsing Yi Island opened in 1993. It accepts a variety of chemical wastes and also clinical waste commencing 1 August 2011. It has extensive controls on its emissions which are regularly monitored by the EPD. The Sha Ling Composting Plant in the northern New Territories opened in 1991 and accepts livestock
Municipal solid waste (MSW) has been normally sorted into six categories, namely, food residue, wood waste, paper textiles, plastics, and rubber In each category, materials could be classified further into subgroups. Based on proximate and ultimate analysis and heating value, statistical methods such as analysis of variance (ANOVA) and cluster
The flame combustion state inside the furnace is important feedback information for intelligent optimization control of the municipal solid waste incineration (MSWI) process. However, none of the existing studies on the identification of MSWI combustion state have proposed a combustion state classification criteria, which with actual physical
The MSW in China could be classified into four main categories, food waste, recycling waste, landfill waste and hazardous substances, and could be further classified
Confronted with a series of problems caused by surging generation of municipal solid waste (MSW), the Chinese central and local governments have promulgated and implemented policies to deal with
DOI: 10.18402/resci.2022.07.13 Corpus ID: 252611488 Influencing factors of municipal solid waste classification policy diffusion: Based on event history analysis of 261 prefecture-level cities in China @article{Luo2022InfluencingFO, title={Influencing factors of
To promote sustainable development, the Chinese government launched a new municipal solid waste (MSW) classification strategy in 2017. Shanghai was selected as one of the first pilot cities for
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Waste supply chain is one of the key methods to lower the negative effects of municipal solid waste (MSW) due to its larger production. The supply chain of MSW mainly contains four processes: collection, classification, transportation and treatment. MSW can be divided into four categories: kitchen waste, recyclable waste, harmful waste and
This paper proposes a framework for AI-driven municipal solid waste classification service design and management, with an emphasis on advancing sustainable urban development.
Abstract. Mechanical separation technologies for municipal solid waste (MSW) are introduced in this chapter. Mechanical separation technologies are classified according to particle size and include fixed screening, drum screening, vibration screening, and disc screening. Mechanical separation technologies based on density difference include air