Waste Management Model Research Articles

The legal institutional model of community-based waste management to reinforce multi-stakeholder collaboration in Indonesia

The legal institutional model of community-based waste management to reinforce multi-stakeholder collaboration in Indonesia

Development of an Integrated Model for Effective Waste Management (A Case Study of The Federal Polytechnic, Ado-Ekiti)

Development of an Integrated Model for Effective Waste Management (A Case Study of The Federal Polytechnic, Ado-Ekiti)

Piranha Model Solid Waste Management - A Scalable Decentralised Waste Management Solution from Kerala

Solid Waste Management is a wide range of Problematic Concern all over the world. Unwarranted or open dumping of waste causes serious effects in Urban Atmosphere, health hazards to public and thus leads to Environmental Pollution. Citizens in Trivandrum city is facing such problems nowadays, due to the open dumping of solid waste. Based on this Aspects Piranha model of Waste Management took initial steps to avoid the crucial crisis faced by solid waste in Trivandrum City which includes the collection, transportation, segregation and processing of bio and non bio waste. This study discloses a correct mechanism within the city to treat solid waste generated and ends up in the proper development.

Benchmarking of sustainable waste management models

The paper examines the potential of black soldier fly larvae (BSFL) recycling in sustainable and economically viable organic waste treatment. Recent studies demonstrate effective biowaste conversion and nutrient recycling abilities of BSFL. However, comparisons with other waste treatment methods require further investigation in terms of quantification of environmental and economic efficiency parameters. The aim of this study is to analyze the performance and viability of the BSFL model against alternative organic waste processing approaches. The research employs a case study methodology using operating data from a commercialscale BSFL recycling facility in Central Europe specializing in food industry residuals. The results show a 22% higher bioconversion rate compared to regular composting translated into 170 kg of product output per ton of organic substrate. BSFL processing leads to lowered greenhouse gas emissions from waste treatment by an average of 35% owing to significant biogenic carbon sequestration. The reduced environmental impacts coupled with marketable BSFL-derived products create the prospects for sustainable waste management. The study concludes that incentivizing businesses in the waste management sector to integrate BSFL-centered approaches leads to achieving dual economic and environmental sustainability goals. The paper contributes to knowledge on the viability of insect-based waste recycling. Further research needs include lifecycle assessments of the BSFL value chain and evaluating scaling potential.

Retracted: Machine Learning and IoT-Based Waste Management Model.

[This retracts the article DOI: 10.1155/2021/5942574.].

Assessment Of Solid Waste Management Practices in Abuja Municipal Area Council (Amac)

This study assesses the solid waste management practices and the role of agencies responsible for its management in Abuja Municipal Area Council (AMAC). A total of 400 structured questionnaires distributed randomly were used to obtain information from household heads and Informal waste collectors operating AMAC. Oral interviews with the staff of Abuja Environmental Protection Board (AEPB) were also undertaken. Simple descriptive statistics analysis was used in the presentation of the data obtained. It is evident from the study that socio-economic characteristics such as educational levels, monthly income, family size and etc. of the households in the study area greatly influence the quantity of waste generation. The study revealed that 69% and 31% of the waste generated in AMAC are biodegradable and Non-biodegradable respectively with kitchen waste alone constituting 46%. The average waste generated is 0.65Kg/capital/day. The findings also showed that waste collection within the study are done mostly ones in a week (46%) sometimes the waste spent more than a week (17%) without being attended to which pose serious health issue. It is observed from our findings that the informal waste collectors are only interested in the recyclable material, this is not far-fetch from the fact that after sorting is done on the waste collected, 10% are thrown into drainages, 24% to open space, 55% left at the separation point. Only 11% got to public collection points. The outcome of the interview on staff of AEPB revealed that the agency is only responsible for the collection, transportation and disposal of the waste to the government approved sites leaving out waste treatment. The poor performance of this agency is closely linked to inadequate machineries/equipment, trained personnel, poor funding and negative attitude of the households towards solid waste management. The study finally recommends community participation, payment for waste disposal, increase public-private partnership, adequate resourcing of waste management agency, monitoring and supervision, use of integrated solid waste management model and the application of appropriate technologies among others.

An Intelligent Hazardous Waste Detection and Classification Model Using Ensemble Learning Techniques

Proper waste management models using recent technologies like computer vision, machine learning (ML), and deep learning (DL) are needed to effectively handle the massive quantity of increasing waste. Therefore, waste classification becomes a crucial topic which helps to categorize waste into hazardous or non-hazardous ones and thereby assist in the decision making of the waste management process. This study concentrates on the design of hazardous waste detection and classification using ensemble learning (HWDC-EL) technique to reduce toxicity and improve human health. The goal of the HWDC-EL technique is to detect the multiple classes of wastes, particularly hazardous and non-hazardous wastes. The HWDC-EL technique involves the ensemble of three feature extractors using Model Averaging technique namely discrete local binary patterns (DLBP), EfficientNet, and DenseNet121. In addition, the flower pollination algorithm (FPA) based hyperparameter optimizers are used to optimally adjust the parameters involved in the EfficientNet and DenseNet121 models. Moreover, a weighted voting-based ensemble classifier is derived using three machine learning algorithms namely support vector machine (SVM), extreme learning machine (ELM), and gradient boosting tree (GBT). The performance of the HWDC-EL technique is tested using a benchmark Garbage dataset and it obtains a maximum accuracy of 98.85%.

Construction of models for managing military waste generated under the conditions of war

The object of this study is military waste management models as a system of actions and processes aimed at choosing how to handle it. The task to devise ways to reduce military waste under conditions of increasing volumes and rates of its accumulation is considered. The policy of military waste management in the countries of hostilities was investigated; it was concluded that there are no effective mechanisms and schemes for managing such waste. Trends in the increase in the amount of military waste have been identified and a forecast of their further growth under the conditions of modern wars has been formed. The current legislative support for the implementation of waste management policies formed in the process of physical and moral deterioration of military equipment and ammunition in military units was analyzed. It was determined that the main subject of management of such waste is the state represented by state authorities and management. Models to manage military waste formed in the process of hostilities have been proposed. These military waste management models are based on the criteria of economic, social, and environmental efficiency. Special features of the research results are that the proposed models provide for the transfer of rights to perform certain stages in the waste management chain by subjects of the non-state sector of the economy. Distinctive features of the reported results are that they present alternative models for managing military waste formed in the process of warfare. The choice of model is determined by the priorities of the defense and policy of post-war reconstruction of the country's economy. The area of practical use of the results is the system of public administration bodies, which forms proposals for changes to the legislation in terms of forms of cooperation between the state and non-state sectors in the field of military waste management

Implementasi Circular Economy pada Rumah Inovasi dan Daur Ulang Bank Sampah Nusantara Pondok Pesantren Al Ihya Ulumaddin Kesugihan Cilacap

This paper describes the implementation of the circular economy at the Innovation and Recycling House of the Nusantara Garbage Bank at the Al Ihya Ulumaddin Kesugihan Islamic Boarding School in Cilacap which was carried out by students of the Al Ihya Ulumaddin Kesugihan Islamic Boarding School at Cilacap. This paper uses a qualitative method with a field research approach. This paper emphasizes 5 models of waste management, namely (Reduce, Reuse, Recycle, Replace, Repair) which are implemented in a circular economy system.

Analysis on the business model of waste market-oriented operation and management in China’s JX region based on the perspective of circular economy

Since 2000, China’s JX region has been actively promoting pilot work on waste separation and treatment. Although some goals have been achieved, progress is slow and generally unsatisfactory. A new waste classification and disposal method that is suitable for a commercial marketing operation in the JX region of China is the problem to be solved in this paper. The purpose of the study is to analyze the business model of market-oriented activities and waste management based on the cyclical perspective of the economy in the JX region of China. In this work, the characteristics, current situation and strategic environment of the functioning of the waste market were investigated and analyzed using the method of system analysis. The application of the theory of joint management and the theory of circular economy, waste classification, ways of waste disposal, waste collection, processing, analysis of the difficulties of waste management in China’s JX region, found that the waste management industry in this region (JX) is facing a market situation that is not is optimistic. It is in the short-term perspective that the scale of the problem, the lack of funding and technical support, and the quality of practitioners must be improved. According to the existing problems, the practical value of this article is to provide a list of measures from the successful experience of managing the operation of the waste market in advanced countries and developed regions of China, as well as to suggest reasonable countermeasures

Key factors influencing Indonesia’s solid waste management maturity (a study of piyungan landfill, yogyakarta)

Indonesia is one of the most populated countries in Southeast Asia, and this study attempts to identify the important elements that influence the maturity of Municipal Solid Waste Management (MSWM) in Indonesia. To assess previous studies undertaken in the SEA relevant to the creation of Solid Waste Management, a Systematic Literature Review (SLR) was conducted. A qualitative method was used to investigate the trends and patterns of MSWM by doing a literature review and assessing the news broadcasted on the country’s most popular website. The findings suggest that, first and foremost, excellent government policy can only work if it is supported by good implementation. Second, the existing solid waste management model does not include the most significant aspects as a tool. As a result, a suggested model of Solid Waste Management may assist the Indonesian government in managing it in a sustainable manner.

Simulation Design of Dental Practice Medical Waste Management Using Dynamic System Model Approach

Medical waste from dental practice is harmful to life and the environment. Previous studies reported that the total medical solid waste generated by dental practices in Pekanbaru City was 4.62 kg/day with an average of 0.3 kg ± 0.07 kg/day. Based on the type of waste generated, 69% is infectious waste, 27% is toxic waste, and 4% is radioactive waste. The purpose of the study was to analyze the medical waste generated and the environmental costs incurred by dentists using several scenarios of medical waste management policy intervention. The method used is a simulation model with a dynamic system approach. Simulations were carried out from 2018 to 2047. The results of the study obtained a percentage reduction for 30 years, it was found that the combination of providing training and cooperation with the waste management party had the largest decrease of 41.9%. The biggest decrease in environmental costs was the combined scenario of 99.69%, followed by the 99.62% cooperation scenario and 19.5% training. The most effective self-care solid medical waste management model is the scenario 3 model because it can reduce the waste generated and also reduce costs.

Prototype Model for Waste Management in Running Trains ofIndia

Indian Railways is the largest public sector undertaking in India but suffers from a major problem of inefficient waste management system. This is a problem of dry and wet waste generated inside the running train and around the railway tracks resulting in unhygienic trains and unclean railway tracks. Everyday nearly 23 million people travel in 7000 passengers trains inIndia. The area around the railway track in India is about 16000 kms which has never been cleaned. It is estimated that approximately 6289 tons of plastic finds its way into India’s railway tracks every day. This enormous generation of waste is leading to undesirable health issues besides environmental pollution. In this backdrop, in this project a prototype technological modelis being developed which can help to solve this problem. A smart dustbin is placed in each compartment of all the bogies in a train wherein both the dry and wet waste are collected, segregated and crushed. With the help of the belt conveyor, this crushed dry and wet waste is carried from all the compartments and bogies to the centralized bin of the train. This technological prototype model facilitates to manage the enormous dry and wet waste generated inside the running train effectively and efficiently. This will benefit the recycling industries to generate the revenue besides helping to keep the trains and railway tracks clean.

ENTERPRISE ARCHITECTURE DESIGN BLUEPRINT FOR SMART VILLAGE IMPLEMENTATION IN SUMUR BANDUNG SUB DISTRICT (CASE STUDY : SMART LIVING DIMENSION)

Sumur Bandung District is one of Bandung City's sub-districts that provides public services and empowerment to its residents. The sub district faces a number of issues in carrying out its duties and providing services. One of the issues confronting Sumur Bandung Sub District is the lack of Final Waste Processing Sites (TPPAS). With the current waste management model, there will be more garbage piles in TPPAS, causing environmental problems for its resident. As a result, The implementation of one of the dimensions in the smart village, namely smart living, is required. by improving current waste management model and supported by technological innovation. However, technological innovation itself will cause new problems if management is seen only as an activity provision of software/hardware for automation needs. Based on these issues, it is necessary to create a Enterprise architecture design of waste management that aims to align technology strategy with business strategy, TOGAF ADM was chosen as the framework because it provides a method for developing, managing, and implementing enterprise architecture maintenance. The results of the design are in the form of a blueprint that can be used as a reference for Sumur Bandung Sub District to overcome issues.

Penguatan Elemen Masyarakat Melalui Program Pelatihan Pengelolaan Sampah Sebagai Upaya Perubahan Perilaku Penggunaan Mck Di Desa Takofi Kecamatan Pulau Moti

The Effective waste management system can be started from the direction of sorting waste independently by each family. This socialization on how to sort waste will be essential in adding insight and providing inspiration for economic opportunities behind independent, group, networked and sustainable waste management. Through the PKM Program of the Faculty of Engineering in 2022, the Mechanical Engineering Study Program will carry out a program to strengthen community elements and waste management training to change the behavior of using MCK, which is currently getting worse for people in Takofi Village. The problems of the Takofi Village community about waste management are; pollution originating from MCK waste used by villagers, littering behavior by villagers, no reference to independent waste management models from the village government, and the absence of village youth organizations or groups in providing education about the proper use of MCK and waste disposal education. . The implementation of community service program activities regarding the Socialization of the Importance of Clean Water for STUNTING Prevention was attended by 20 consisting of fathers, mothers and the younger generation. The socialization was carried out by providing important material about waste management using the 3R method, namely reuse, recycle and reduce

Development of a system model to predict flows and performance of regional waste management planning: A case study of England

Significant loss of valuable resources and increasing burdens on landfills are often associated with a lack of proper planning in waste management and resource recovery strategy. A sustainable waste management model is thus urgently needed to improve resource efficiency and divert more waste from landfills. This paper proposes a comprehensive system model using stock-and-flow diagram to examine the current waste management performance and project the future waste generation, treatment and disposal scenarios, using England as a case study. The model comprises three integrated modules to represent household waste generation and collection; waste treatment and disposal; and energy recovery. A detailed mass and energy balance has been established and waste management performance has been evaluated using six upstream and downstream indicators. The base case scenario that assumes constant waste composition shows that waste to landfills can be reduced to less than 10% of the total amount, by 2035. However, it entails greater diversion of waste to energy-from-waste facilities, which is not sustainable and would incur higher capital investment and gate fees. Alternative case scenarios that promote recycling instead of energy recovery result in lower capital investment and gate fees. Complete elimination of the food and organic fraction from the residual waste stream will help meet the 65% recycling target by 2035. In light of the need for achieving a more circular economy in England, enhancing material recovery through reuse and recycling, reducing reliance on energy-from-waste and deploying more advanced waste valorisation technologies should be considered in future policy and planning for waste management.

Chula model for sustainable municipal solid waste management in university canteens

Managing the large amount and variety of waste produced by university canteens is challenging. This study used life cycle assessment (LCA) to investigate sustainable municipal solid waste (MSW) management solutions for Chulalongkorn University (CU) canteens. This study assessed three scenarios for MSW management in CU canteens: the past scenario (prior to the Chula Zero Waste Project in 2016; S1); the current scenario (2017–2021, when the Chula Zero Waste Project’s MSW management system was used; S2); and the future scenario (after 2021 with the new MSW management option for CU canteens under Chula Zero Waste; S3). The obtained results were characterized by eight impact categories: climate change, ozone depletion, terrestrial acidification, freshwater eutrophication, human toxicity, photochemical oxidant formation, particulate matter formation, and fossil depletion. The LCA results show that the future scenario (S3) under the Chula Zero Waste Project is sustainable for MSW management. The most environmentally sustainable MSW plan for CU canteens is to reduce, separate it at the source, and reuse materials instead of landfilling mixed waste.

WASTE MANAGEMENT TOWARD ENVIRONMENATAL SUSTAINABLILITY – CASE STUDY SIMPO A.D. SERBIA

One of the leading problems in the world is related to the amount of waste generated by various humanactivities. Due to the extremely negative impact on the environment and the accompanying negative effects on aglobal and local level, a systematic approach has been taken to cope with this problem. In accordance with theAgenda 2030 and the UN Sustainable Development Goals (SDGs), especially SDG 14, it is necessary tosignificantly reduce waste production by 2030 through various activities of prevention, reduction, recycling andreusing (UN A/RES/ 70/1, 2015).Depending on the population lifestyle and the type of industry in which waste is generated, the amount andcomposition of waste in a certain area are very different, and therefore the way of waste dealing also differs. Thefurniture industry produces significant amounts of waste, of which non-hazardous waste is generally handled inaccordance with the principles of the circular economy, while at the same time, hazardous waste must be adequatelydisposed of by appropriate operators.The paper presents the model of waste management in the furniture factory "Simpo" a.d., Vranje, Serbia as anexample of waste management in compliance with legal regulations and with the aim of reducing negative impactson the environment. In the mentioned factory, the largest share in the total waste amount in 2020 and 2021 hashazardous waste, namely waste sludge (69% in 2020 and 81% in 2021). The amount and composition of other typesof produced waste in 2020 and 2021 did not change significantly.The company "Simpo" a.d. manages waste in accordance with all legal acts of the Republic of Serbia and wastegenerated during the production process and other activities manages in a responsible and legal manner, so the riskand negative effects on the human health and the environment is reduced to a minimum level.

Waste management issue and solutions using IOT

As population density and rural migration to cities increase, urbanization has a higher proportion and presents an enormous urban problem related to waste generation. Increasing waste generation has been identified as a significant challenge for large urban centers around the world and has been identified as a significant problem for countries with rapid population growth in cities. Cloud computing offers an automation opportunity through the Internet of Things (IoT) and cyber physical systems that change the way solid waste management approaches. Considering the IoT requirements, a review analysis of the waste management models available in the literature will be done in detail in this paper. Then, an in-depth review of the relevant literature will be conducted based on the IoT infrastructure for effective management of waste generated in urban conditions, focusing on interactions between subsidiaries and waste generators (citizens) from a low-cost perspective. As well as citizenship promotion. The IoT-based reference model is described and a comparative analysis of available solutions is presented, highlighting the most relevant perspectives on the topic and identifying open research issues.

Artificial Ecosystem-Based Optimization with an Improved Deep Learning Model for IoT-Assisted Sustainable Waste Management

Increasing waste generation has become a key challenge around the world due to the dramatic expansion in industrialization and urbanization. This study focuses on providing effective solutions for real-time monitoring garbage collection systems via the Internet of things (IoT). It is limited to controlling the bad odor of blowout gases and the spreading of overspills by using an IoT-based solution. The inadequate and poor dumping of waste produces radiation and toxic gases in the environment, creating an adversarial effect on global warming, human health, and the greenhouse system. The IoT and deep learning (DL) confer active solutions for real-time data monitoring and classification, correspondingly. Therefore, this paper presents an artificial ecosystem-based optimization with an improved deep learning model for IoT-assisted sustainable waste management, called the AEOIDL-SWM technique. The presented AEOIDL-SWM technique exploits IoT-based camera sensors for collecting information and a microcontroller for processing the data. For waste classification, the presented AEOIDL-SWM technique applies an improved residual network (ResNet) model-based feature extractor with an AEO-based hyperparameter optimizer. Finally, the sparse autoencoder (SAE) algorithm is exploited for waste classification. To depict the enhancements of the AEOIDL-SWM system, a widespread simulation investigation is performed. The comparative analysis shows the enhanced outcomes of the AEOIDL-SWM technique over other DL models.