Pub Date : 2024-12-26DOI: 10.1016/j.clwas.2024.100199
Inna Pitak, Anastasiia Sholokhova
The textile industry's rapid growth has raised concerns about waste generation and environmental impact, prompting a pressing need for sustainable waste management solutions. Recycling textile waste into new clothes is challenging due to the diverse nature of materials, contamination issues, technical limitations and cost considerations. This review delineates the potential of thermochemical methods in addressing the dual challenges of textile waste management and alternative fuel production. Employing a methodical approach, an exhaustive search across prominent academic databases, including Scopus and Google Scholar, was undertaken to compile pertinent literature. The article critically evaluates the principles, processes, advantages, and limitations of key thermochemical methods such as gasification, pyrolysis, torrefaction, hydrothermal carbonization, and hydrothermal liquefaction. Additionally, recent investigations and advancements in each thermochemical technique are meticulously outlined, providing a nuanced comprehension of their present status and future trajectories. Moreover, an extensive literature review delineates pivotal challenges in transforming textile waste into alternative fuel sources and identifies crucial avenues for future research.
{"title":"Transforming textile waste into alternative fuel by thermochemical methods: A mini-review","authors":"Inna Pitak, Anastasiia Sholokhova","doi":"10.1016/j.clwas.2024.100199","DOIUrl":"10.1016/j.clwas.2024.100199","url":null,"abstract":"<div><div>The textile industry's rapid growth has raised concerns about waste generation and environmental impact, prompting a pressing need for sustainable waste management solutions. Recycling textile waste into new clothes is challenging due to the diverse nature of materials, contamination issues, technical limitations and cost considerations. This review delineates the potential of thermochemical methods in addressing the dual challenges of textile waste management and alternative fuel production. Employing a methodical approach, an exhaustive search across prominent academic databases, including Scopus and Google Scholar, was undertaken to compile pertinent literature. The article critically evaluates the principles, processes, advantages, and limitations of key thermochemical methods such as gasification, pyrolysis, torrefaction, hydrothermal carbonization, and hydrothermal liquefaction. Additionally, recent investigations and advancements in each thermochemical technique are meticulously outlined, providing a nuanced comprehension of their present status and future trajectories. Moreover, an extensive literature review delineates pivotal challenges in transforming textile waste into alternative fuel sources and identifies crucial avenues for future research.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"10 ","pages":"Article 100199"},"PeriodicalIF":0.0,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The recent escalation in frequency and intensity of disasters demonstrates the urgent need to manage the overwhelming amount of waste generated from these events. This study developed a resilient Disaster Waste Management (DWM) framework with six key actions and an annual DWM health check plan for industry decision-makers to build resilient communities. The DWM framework and health check plan were based on analysis of the waste management literature and semi-structured interviews with local and state government decision-makers and waste management industry practitioners in Queensland, Australia. Four key insights about the effective DWM plan emerged from a thematic analysis: 1) improve decision-maker understanding of DWM; 2) the barriers to effective DWM; 3) the range of stakeholders; and 4) six priority elements of an action plan that enable effective DWM. The Institutional theory, and PPRR (Prevention, Preparation, Response, Recovery) model were used to interpret the findings. An institutional theory perspective was offered on these findings, concluding the potential for normative, coercive and mimetic drivers to influence DWM decision makers to shape informed decision making and legitimize the transition to resilient waste management practices.
{"title":"A resilient disaster waste management framework for communities: Experiences from Australian industry practitioners","authors":"Savindi Caldera , Chamari Jayarathna , Selena Ferguson , Joanne MCNeill , Cheryl Desha","doi":"10.1016/j.clwas.2024.100197","DOIUrl":"10.1016/j.clwas.2024.100197","url":null,"abstract":"<div><div>The recent escalation in frequency and intensity of disasters demonstrates the urgent need to manage the overwhelming amount of waste generated from these events. This study developed a resilient Disaster Waste Management (DWM) framework with six key actions and an annual DWM health check plan for industry decision-makers to build resilient communities. The DWM framework and health check plan were based on analysis of the waste management literature and semi-structured interviews with local and state government decision-makers and waste management industry practitioners in Queensland, Australia. Four key insights about the effective DWM plan emerged from a thematic analysis: 1) improve decision-maker understanding of DWM; 2) the barriers to effective DWM; 3) the range of stakeholders; and 4) six priority elements of an action plan that enable effective DWM. The Institutional theory, and PPRR (Prevention, Preparation, Response, Recovery) model were used to interpret the findings. An institutional theory perspective was offered on these findings, concluding the potential for normative, coercive and mimetic drivers to influence DWM decision makers to shape informed decision making and legitimize the transition to resilient waste management practices.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"10 ","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-25DOI: 10.1016/j.clwas.2024.100198
Alam Rahmatulloh , Irfan Darmawan , Aldy Putra Aldya , Firmansyah Maulana Sugiartana Nursuwars
The global challenge of waste management is becoming increasingly pressing due to population growth, urbanization, and industrialization. Detecting and classifying different types of waste materials is essential for efficient and sustainable waste management practices. This research aims to create a deep learning model for real-time waste detection that is categorized by type and emphasizes the importance of accurate waste identification. Various waste detection techniques have emerged, including visual, chemical, and technological methods. Visual inspection remains the fundamental approach, relying on human operators to sort waste based on appearance. However, limited human perception and increasing waste volumes require more automated solutions. Computer vision, which utilizes machine learning algorithms, has become well-known for its ability to classify waste based on visual attributes. This technology can differentiate between recyclable, non-recyclable, hazardous, and organic waste, thus providing a more efficient and accurate alternative to manual sorting. The research method starts with data collection, preparation, modeling, and evaluation. The research results are based on the overall performance of the test dataset, achieving a precision of 0.801, [email protected] of 0.868, and [email protected]:0.95 of 0.618. The refined model results showed higher detection efficiency across several target categories, with the paper category showing the highest average precision (AP) value at 97 %. The model's average precision (mAP) was determined to be 86.8 %. The model that has been created can identify types of waste well. Despite the high performance, the results obtained from the test data set still require further improvement to overcome the challenges that hinder the accurate detection of various types of waste.
{"title":"WasteInNet: Deep Learning Model for Real‐time Identification of Various Types of Waste","authors":"Alam Rahmatulloh , Irfan Darmawan , Aldy Putra Aldya , Firmansyah Maulana Sugiartana Nursuwars","doi":"10.1016/j.clwas.2024.100198","DOIUrl":"10.1016/j.clwas.2024.100198","url":null,"abstract":"<div><div>The global challenge of waste management is becoming increasingly pressing due to population growth, urbanization, and industrialization. Detecting and classifying different types of waste materials is essential for efficient and sustainable waste management practices. This research aims to create a deep learning model for real-time waste detection that is categorized by type and emphasizes the importance of accurate waste identification. Various waste detection techniques have emerged, including visual, chemical, and technological methods. Visual inspection remains the fundamental approach, relying on human operators to sort waste based on appearance. However, limited human perception and increasing waste volumes require more automated solutions. Computer vision, which utilizes machine learning algorithms, has become well-known for its ability to classify waste based on visual attributes. This technology can differentiate between recyclable, non-recyclable, hazardous, and organic waste, thus providing a more efficient and accurate alternative to manual sorting. The research method starts with data collection, preparation, modeling, and evaluation. The research results are based on the overall performance of the test dataset, achieving a precision of 0.801, [email protected] of 0.868, and [email protected]:0.95 of 0.618. The refined model results showed higher detection efficiency across several target categories, with the paper category showing the highest average precision (AP) value at 97 %. The model's average precision (mAP) was determined to be 86.8 %. The model that has been created can identify types of waste well. Despite the high performance, the results obtained from the test data set still require further improvement to overcome the challenges that hinder the accurate detection of various types of waste.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"10 ","pages":"Article 100198"},"PeriodicalIF":0.0,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-17DOI: 10.1016/j.clwas.2024.100195
Saleh Alazmi , Mohammed Abdelmegid , Saad Sarhan , Mani Poshdar , Vicente Gonzalez , Ali Bidhendi
There are concerns that the rapid expansion of the Saudi construction industry is contributing to substantial waste production, resulting in significant environmental impacts. Despite global efforts to improve sustainability, the Saudi construction industry faces challenges due to the high levels of construction waste, a limited focus on managing environmental impacts beyond physical waste (i.e., solid or hazardous waste), and the lack of comprehensive waste management strategies. This research introduces a novel integrated framework that combines lean construction principles with environmental management systems to support efficient waste management in Saudi construction projects. The framework integrates the Define, Measure, Analyse, Improve, Control (DMAIC) model from Lean Six Sigma with the Aspect and Impact Analysis (AIA) from environmental management to simultaneously manage both production and environmental wastes. To develop this framework, the current state of waste management practices in Saudi Arabia was investigated through semi-structured interviews with industry practitioners, revealing 44 factors contributing to waste generation. Poor planning emerged as the most frequently cited factor, followed by poor coordination among stakeholders, leftover materials on-site and frequent design changes. These findings underscore the need for a comprehensive and structured approach to address waste management. The proposed framework guides practitioners through defining and measuring waste, analysing root causes, prioritising waste-generating activities based on their impact, and implementing improvement strategies across strategic, tactical, and operational levels. The framework's application is demonstrated through a case example of piling operations and is validated through expert interviews. The integrated framework contributes to knowledge by offering a holistic approach to addressing both production and environmental waste, which aligns with Saudi Arabia's sustainability goals. It equips organisations with a practical tool to optimize resources, reduce environmental impacts, and enhance overall project efficiency.
{"title":"An integrated framework to improve waste management practices and environmental awareness in the Saudi construction industry","authors":"Saleh Alazmi , Mohammed Abdelmegid , Saad Sarhan , Mani Poshdar , Vicente Gonzalez , Ali Bidhendi","doi":"10.1016/j.clwas.2024.100195","DOIUrl":"10.1016/j.clwas.2024.100195","url":null,"abstract":"<div><div>There are concerns that the rapid expansion of the Saudi construction industry is contributing to substantial waste production, resulting in significant environmental impacts. Despite global efforts to improve sustainability, the Saudi construction industry faces challenges due to the high levels of construction waste, a limited focus on managing environmental impacts beyond physical waste (i.e., solid or hazardous waste), and the lack of comprehensive waste management strategies. This research introduces a novel integrated framework that combines lean construction principles with environmental management systems to support efficient waste management in Saudi construction projects. The framework integrates the Define, Measure, Analyse, Improve, Control (DMAIC) model from Lean Six Sigma with the Aspect and Impact Analysis (AIA) from environmental management to simultaneously manage both production and environmental wastes. To develop this framework, the current state of waste management practices in Saudi Arabia was investigated through semi-structured interviews with industry practitioners, revealing 44 factors contributing to waste generation. Poor planning emerged as the most frequently cited factor, followed by poor coordination among stakeholders, leftover materials on-site and frequent design changes. These findings underscore the need for a comprehensive and structured approach to address waste management. The proposed framework guides practitioners through defining and measuring waste, analysing root causes, prioritising waste-generating activities based on their impact, and implementing improvement strategies across strategic, tactical, and operational levels. The framework's application is demonstrated through a case example of piling operations and is validated through expert interviews. The integrated framework contributes to knowledge by offering a holistic approach to addressing both production and environmental waste, which aligns with Saudi Arabia's sustainability goals. It equips organisations with a practical tool to optimize resources, reduce environmental impacts, and enhance overall project efficiency.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"10 ","pages":"Article 100195"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.clwas.2024.100194
David Sinkhonde, Tajebe Bezabih, Derrick Mirindi
Under the effects of waste materials, non-conventional concrete mixes usually exhibit reduced costs, because of the use of waste materials compared with conventional concrete materials. On the other hand, the criteria for reducing the concrete cost should simultaneously incorporate the concrete performance. However, balancing the cost and performance of concrete incorporating waste tyre rubber (WTR) and clay brick powder (CBP) is still unclear. This study establishes a simple yet representative correlation between concrete cost and performance to illustrate the applications of modified concrete mixes containing CBP and WTR for sustainable construction. The study uses experimental works of compressive, split tensile and flexural strengths to assess the performance of concrete containing CBP and WTR. This information is exploited to determine concrete mixes capable of reducing cost at considerable concrete performance. The results highlight that the contributions of CBP and WTR to reductions of concrete cost cannot be neglected, particularly when high contents of these waste materials are used. Considerable relationships between costs and mechanical properties are validated using several examples, including the coefficients of determination of more than 0.65. While the inclusion of WTR addresses the issue of cost reduction in concrete, it falls short in improving the performance of concrete. It is demonstrated that the 5P0T concrete mix (5 % CBP and 0 % WTR) offers reasonable concrete performance and plausible cost reduction for use in sustainable construction. Moreover, the results provide theoretical and technical support on the contents of CBP and WTR that can achieve cost-performance balance. Therefore, the correlations between the cost and performance of the concrete presented here can be crucial in generating new non-conventional concrete mixes for sustainable construction.
{"title":"Representing the cost reduction of concrete containing clay brick powder and waste tyre rubber from the performance reference","authors":"David Sinkhonde, Tajebe Bezabih, Derrick Mirindi","doi":"10.1016/j.clwas.2024.100194","DOIUrl":"10.1016/j.clwas.2024.100194","url":null,"abstract":"<div><div>Under the effects of waste materials, non-conventional concrete mixes usually exhibit reduced costs, because of the use of waste materials compared with conventional concrete materials. On the other hand, the criteria for reducing the concrete cost should simultaneously incorporate the concrete performance. However, balancing the cost and performance of concrete incorporating waste tyre rubber (WTR) and clay brick powder (CBP) is still unclear. This study establishes a simple yet representative correlation between concrete cost and performance to illustrate the applications of modified concrete mixes containing CBP and WTR for sustainable construction. The study uses experimental works of compressive, split tensile and flexural strengths to assess the performance of concrete containing CBP and WTR. This information is exploited to determine concrete mixes capable of reducing cost at considerable concrete performance. The results highlight that the contributions of CBP and WTR to reductions of concrete cost cannot be neglected, particularly when high contents of these waste materials are used. Considerable relationships between costs and mechanical properties are validated using several examples, including the coefficients of determination of more than 0.65. While the inclusion of WTR addresses the issue of cost reduction in concrete, it falls short in improving the performance of concrete. It is demonstrated that the 5P0T concrete mix (5 % CBP and 0 % WTR) offers reasonable concrete performance and plausible cost reduction for use in sustainable construction. Moreover, the results provide theoretical and technical support on the contents of CBP and WTR that can achieve cost-performance balance. Therefore, the correlations between the cost and performance of the concrete presented here can be crucial in generating new non-conventional concrete mixes for sustainable construction.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"9 ","pages":"Article 100194"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.clwas.2024.100191
Navaratnarajah Sathiparan , Daniel Niruban Subramaniam
This review explores the innovative use of crushed waste glass and glass powder in sustainable pervious concrete, emphasizing their potential to enhance mechanical properties and environmental benefits. Pervious concrete, characterized by its high porosity and permeability, is crucial in stormwater management and reducing urban heat. However, its inherent low compressive strength necessitates the incorporation of supplementary materials. This study highlights the pozzolanic activity of glass powder, which improves strength and durability while reducing the overall cement content, thereby lowering the carbon footprint associated with concrete production. The review addresses the challenges of using high glass powder replacement levels, including potential compressive strength reductions and increased susceptibility to freeze-thaw cycles. Future research directions include optimizing mix designs and investigating hybrid approaches that combine glass powder with recycled aggregates. Ultimately, this review underscores the vital role of waste glass in promoting sustainable construction practices and contributing to the circular economy within the pervious concrete industry.
{"title":"Potential use of crushed waste glass and glass powder in sustainable pervious concrete: A review","authors":"Navaratnarajah Sathiparan , Daniel Niruban Subramaniam","doi":"10.1016/j.clwas.2024.100191","DOIUrl":"10.1016/j.clwas.2024.100191","url":null,"abstract":"<div><div>This review explores the innovative use of crushed waste glass and glass powder in sustainable pervious concrete, emphasizing their potential to enhance mechanical properties and environmental benefits. Pervious concrete, characterized by its high porosity and permeability, is crucial in stormwater management and reducing urban heat. However, its inherent low compressive strength necessitates the incorporation of supplementary materials. This study highlights the pozzolanic activity of glass powder, which improves strength and durability while reducing the overall cement content, thereby lowering the carbon footprint associated with concrete production. The review addresses the challenges of using high glass powder replacement levels, including potential compressive strength reductions and increased susceptibility to freeze-thaw cycles. Future research directions include optimizing mix designs and investigating hybrid approaches that combine glass powder with recycled aggregates. Ultimately, this review underscores the vital role of waste glass in promoting sustainable construction practices and contributing to the circular economy within the pervious concrete industry.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"9 ","pages":"Article 100191"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.clwas.2024.100168
Md Shamimul Islam , Najmul Hasan , Mohammad Shahidul Islam , Tania Akter , Muhtasim Fuad Rafsun , Mahmudul Hasan Fouji
{"title":"Corrigendum to “Investigating waste recycling intentions of top management in Bangladesh's leather industry: A hybrid analytical framework” [Clean. Waste Syst. 8 (2024) 100140]","authors":"Md Shamimul Islam , Najmul Hasan , Mohammad Shahidul Islam , Tania Akter , Muhtasim Fuad Rafsun , Mahmudul Hasan Fouji","doi":"10.1016/j.clwas.2024.100168","DOIUrl":"10.1016/j.clwas.2024.100168","url":null,"abstract":"","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"9 ","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.clwas.2024.100186
Abdullah Al Hasan , Quazi Hamidul Bari , Philipp Lorber , Islam M. Rafizul , Jobaer Ahmed Saju , Eckhard Kraft
Understanding plastic recycling practices is vital for policy intervention. Association Rule Mining (ARM) is a powerful tool for extracting insights from complex data, though it hasn't been used for plastic recycling analysis before. This study aimed to apply ARM to data from the questionnaire survey of Recycling Shop (RS) owners in Khulna City to identify patterns of recycling practices and recommend suitable policies. Key findings revealed that RS owners rely on local and external sources for plastic waste (Rules with support 0.061–0.242, confidence 0.667–0.8, lift > 1), recommending stronger recycling supply chain policies. Significant links between sourcing and impurities (Rules with support 0.061–0.091, confidence 0.5–0.667, lift > 1.2) suggest better quality control. Disposal methods of non-recyclables like burning (Rules with support 0.03–0.212, confidence 0.714–1, lift > 1) suggest policies for non-recyclables. Using ARM in this study offers a novel approach to developing efficient, sustainable waste management strategies in Khulna City.
{"title":"An Association Rule Mining approach to explore the dynamics in plastic recycling business","authors":"Abdullah Al Hasan , Quazi Hamidul Bari , Philipp Lorber , Islam M. Rafizul , Jobaer Ahmed Saju , Eckhard Kraft","doi":"10.1016/j.clwas.2024.100186","DOIUrl":"10.1016/j.clwas.2024.100186","url":null,"abstract":"<div><div>Understanding plastic recycling practices is vital for policy intervention. Association Rule Mining (ARM) is a powerful tool for extracting insights from complex data, though it hasn't been used for plastic recycling analysis before. This study aimed to apply ARM to data from the questionnaire survey of Recycling Shop (RS) owners in Khulna City to identify patterns of recycling practices and recommend suitable policies. Key findings revealed that RS owners rely on local and external sources for plastic waste (Rules with support 0.061–0.242, confidence 0.667–0.8, lift > 1), recommending stronger recycling supply chain policies. Significant links between sourcing and impurities (Rules with support 0.061–0.091, confidence 0.5–0.667, lift > 1.2) suggest better quality control. Disposal methods of non-recyclables like burning (Rules with support 0.03–0.212, confidence 0.714–1, lift > 1) suggest policies for non-recyclables. Using ARM in this study offers a novel approach to developing efficient, sustainable waste management strategies in Khulna City.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"9 ","pages":"Article 100186"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.clwas.2024.100190
Curie Park , Andy Hira , Padmakshi Rana , Henrique Pacini , Stephen Evans
In large parts of the global South, conventional methods of treating plastic waste including: recycling, banning of single use plastics, extended producer responsibility systems, and attempts to reuse plastic waste have largely failed to reduce increasing volumes of untreated waste in the face of limited policy resources and capacity. This article explores the potential for creating plastic upcycling markets that would be financially self-sustaining through using plastic waste to develop valuable new products. The methodology is to explore a case study, the Plastic to Ghar project in Nepal, which seeks to incubate new upcycling businesses, with a focus on rural areas that lack proper waste management. The project proves the viability of creating customizable useful products for secondary markets from plastic waste. The lessons center around the need to pay attention to developing sustainable business models and more robust policy support to complement technological solutions.
{"title":"Dirty, difficult and dangerous: Establishing a plastics waste upcycling system in Nepal","authors":"Curie Park , Andy Hira , Padmakshi Rana , Henrique Pacini , Stephen Evans","doi":"10.1016/j.clwas.2024.100190","DOIUrl":"10.1016/j.clwas.2024.100190","url":null,"abstract":"<div><div>In large parts of the global South, conventional methods of treating plastic waste including: recycling, banning of single use plastics, extended producer responsibility systems, and attempts to reuse plastic waste have largely failed to reduce increasing volumes of untreated waste in the face of limited policy resources and capacity. This article explores the potential for creating plastic upcycling markets that would be financially self-sustaining through using plastic waste to develop valuable new products. The methodology is to explore a case study, the Plastic to Ghar project in Nepal, which seeks to incubate new upcycling businesses, with a focus on rural areas that lack proper waste management. The project proves the viability of creating customizable useful products for secondary markets from plastic waste. The lessons center around the need to pay attention to developing sustainable business models and more robust policy support to complement technological solutions.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"9 ","pages":"Article 100190"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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