Industrial Waste Management Research Articles

A study on restructuring plastic waste management post COVID in the wake of industry 4

The COVID-19 pandemic has increased the confusions of waste management. Our fear towards the disease has forced us to shift to the usage of personal protective equipment and the usage of disposable equipment. The issue connected with the existing system has compelled us to change to a new process. Change in implementing environment oriented substances like bio plastics and coming with sustainable technologies are very much needed to fight future pandemics. The idea to promote a sustainable plastic waste management technology as well as to decrease plastic pollution can be achieved by giving priority to our systems to bring changes in personal and institutional policies. Coming up with measures that are encouraging circularity and sustainable practices and private-public investments in infrastructure, researches are helping in bringing the upcoming changes. To address the difficulties posed by the current methodologies, it is imperative to build efficient waste management systems using cutting-edge technologies. Artificial intelligence (AI) has emerged as an important technology with lot of functions. Studies have also documented the use of AI methods for solid waste management. The most current developments in the use of AI approaches for solid waste management are reviewed critically in this article. The important barriers that are avoiding AI from its usage in waste management are highlighted. These include the lack of reproducibility, the choice and accessibility of pertinent data, and the paucity of applications in actual solid waste. Suggestions for work in the future are done on the basis of the loopholes already studied. All parties involved in the solid waste management industry, such as policymakers, governments, waste management companies, municipalities, and researchers can gain from this review.

Selection of best industrial waste management technique under complex non-linear Diophantine fuzzy Dombi aggregation operators

The harmful waste products, beverages, chemical agents that are discharged or emitted by industrial processes are categorized as industrial waste (IW). IW is one of the most severe problems facing governments around the world due to its environmental effect and severity. So the aim of this paper is to develop a method for selecting industrial waste management technique (IWMT) for industry. Dombi Norms were commonly referred to as Dombi operations, but their applications might be better expressed if they are presented with a new level of flexibility within the general parameter. Dombi operations have not yet been applied in non-linear Diophantine fuzzy sets (N-LDFSs) in a suitable form. Therefore we apply the Dombi operators on complex N-LDFS (CN-LDFS) and develop a generalized area of research in decision making problems (DMPs). The majority of decision-making challenges in the actual world contain a wide range of elements that must be taken into account. Making decision under such circumstances can frequently be challenging. To deal with such complicated issues, we require multi-attribute group decision-making (MAGDM) techniques. The aims to discuss MAGDM issues, this paper will introduce a new COmbinative Distance-based ASsessment (CODAS) methodology. In this paper, we put forward three novel aggregation operators (AOs): complex non-linear Diophantine fuzzy Dombi weighted averaging (CN-LDFDWA), complex non-linear Diophantine fuzzy Dombi order weighted averaging (CN-LDFDOWA), and complex non-linear Diophantine fuzzy Dombi hybrid weighted averaging (CN-LDFDHWA). These operators are used in the operational parameter to help a successful solution of the problem. Due to the growing energy and material shortages, as well as to comply with environmental laws and regulations and to take advantage of disposal economics in the current context, industrial waste (IW) should be taken into consideration as one of the potential resources in the steel industry. Further, the proposed decision support model applied to solve a case study regarding to IWMT for Pakistan steel mill corporation (PSMC) under complex N-LDF Dombi operators. The proposed method is more effective and reliable for decision making (DM) model, as compared to the existing method.

RESORPTION OF BENZENE AND ALKYLBENZENE FROM THE SURFACE OF THE SPENT ADSORBENT

The desorption of benzene and alkylbenzene from the surface of spent adsorbents is a crucial aspect in the field of environmental remediation and industrial waste management. Contaminants such as benzene and alkylbenzene are commonly found in various industrial effluents and pose significant health and environmental risks. Adsorption techniques using porous materials have proven effective in removing these pollutants from aqueous solutions. However, the subsequent desorption process plays a pivotal role in the regeneration and reusability of the adsorbents. This abstract presents an overview of the desorption behavior of benzene and alkylbenzene from the surface of spent adsorbents. The desorption mechanisms, factors influencing desorption efficiency, and strategies for enhancing desorption rates are discussed. The physicochemical properties of the adsorbent, such as pore size, surface area, and surface chemistry, influence the desorption kinetics and equilibrium. Various desorption techniques, including thermal desorption, solvent desorption, and supercritical fluid desorption, are explored for their effectiveness in removing benzene and alkylbenzene from spent adsorbents. Factors such as temperature, desorption solvent, and pressure are considered in optimizing desorption efficiency while minimizing energy consumption and environmental impact. The desorbed benzene and alkylbenzene fractions can be further treated or recovered using appropriate downstream processes. The desorption efficiency and the possibility of adsorbent regeneration are vital factors in determining the overall cost-effectiveness and sustainability of the adsorption-desorption cycle. Understanding the desorption behavior of benzene and alkylbenzene from spent adsorbents is essential for designing efficient adsorption systems and developing sustainable waste treatment strategies. Further research is needed to explore novel desorption techniques, improve desorption kinetics, and assess the long-term stability and reusability of adsorbents in practical applications. Keywords: adsorbent, alkylbenzene, degree of desorption, aluminum oxide, alkylates, benzene, regeneration, remediation, waste management, environmental.

Measuring circularity potential for medical waste management – a dynamic circularity performance analysis

The global transition towards circular economy (CE) signifies a shift in industrial waste management objective from “expansion of recycling industry” to achieve “waste as resource”. The medical industry has attracted CE research attention the due to its significant waste generation and relatively slower progress towards CE, despite the substantial recycling potential identified by the WHO. Studies indicate that this can be attributed to the hazardous nature of medical waste and the prioritization of safety in waste treatment over potential economic and health co-benefits.Recognizing the limitations of current waste management performance evaluation framework, this research introduces the dynamic circularity performance index, and further introduces the two new indicators of “recycling circularity (Rc)” and “real circularity performance”, in conjunction with “recycling rate”, to enable industry-specific sustainability assessment of waste management performance.The case study on Taiwan medical waste management performance from 2014 to 2021 on the four identified medical waste categories confirms the limitations of assessing performance solely based on the quantity-based metric of “recycling rate”. For example, the significant decline in the recycling rate from 33.1% to only 12.2% between 2019 and 2020 might be interpreted as a drop in environmental performance. However, the increase in both overall recycling efficiency and total volume of waste recycled, as demonstrated by “circularity performance” and “real circularity performance” reveals a well-maintained resource recovery performance in coping with the stunning 327% increase in total waste generation caused by the COVID-19 pandemic. Similarly, while the “recyclable waste’ category exhibits a significant increasing in the recycling rate over the assessment period, the “Rc” results highlight a degradation in recycling efficiency.The synergistic effect of the newly introduced indicators unveils several unique phenomena affecting the CE transition of the medical industry. These includes regulatory control, the single-use mindset, hazardous nature of the waste, the classification of waste, policy incentives and recycling capacity.Further improvement can be made to expand the coverage to all life cycle stages and refine the method for determining the relative circularity of treatment performance. Such advancements can attribute to enhance waste management performance assessment and the development of effective CE transition strategies and policies.

Potential of waterbodies as a reservoir ofEscherichia colipathogens and the spread of antibiotic resistance in the Indonesian aquatic environment

AbstractRiver contamination remains a significant public health problem worldwide, including in Indonesia. In the community, rivers are water resources for many purposes. However, indiscriminate use of antibiotics in the veterinary and medical sectors, the community habit of throwing waste into the river, the inadequate removal of human medicine compounds in WWTP, and poor industrial waste management will induce the spread of pathogenic bacteria and antibiotic resistance between the environment and humans/animals. This review aims to analyse the various factors that influence the emergence of pathogenic Escherichia coli and antimicrobial resistance bacteria (ARB) in the aquatic environment, especially in Indonesia. In conclusion, pathogenic E. coli can adjust its physiological or metabolic conditions to survive in aquatic environments and was found resistant to antibiotics. Meanwhile, this study also describes the potency of the aquatic environment in Indonesia as a vector for the spread of pathogenic E. coli and the growth of ARBs, factors involved in the evolution and spread of antibiotic resistance in aquatic environments, and possible ways to curtail microbial risk to public health and the emergence and spread of antimicrobial resistance in the aquatic environment in Indonesia.

Environmental impact assessment of rice mill waste valorisation to glucose through biorefinery platform

Environmental impact assessment of glucose production from paddy milling waste, known as empty and partially filled paddy grain (EPFG) in Malaysia, was performed using life cycle assessment (LCA). Three scenarios were conducted based on system expansion of the process. The LCA was conducted using ReCiPe methodology at midpoint and endpoint levels. The results indicate that enzymatic hydrolysis phase is the hotspot in the conversion system due to enzyme production. In addition, the agriculture phase also contributed to negative impacts, especially towards climate change. An improved environmental load was observed in scenario 2 when all EPFG fractionation was utilised to replace fossil-based electricity. Sensitivity analysis showed an increase in glucose yield leads to reduced environmental impact. Thus, the LCA study suggests that the conversion process of EPFG could further benefit and improve the paddy industry waste management with low impact contribution to the environment compared to other feedstock used for glucose production.

Risk Assessment of Industrial Waste: Case of an Algerian Company

More than 300,000 tons of industrial hazardous wastes are produced every year in Algeria. Industrial waste can cause harm to people or the environment. The study highlights the problem of a very important step of the industrial waste management which is the storage. The Algerian regulation does not specify the storage mode of the different industrial wastes. This can cause very dangerous accidents such as fires and explosions. The main research technique is modeling according to a risk analysis tool. Using our assessment method (Preliminary Hazard Analysis), various risk factors can be classified according to their contribution to environmental and human health risks. The goal of this study was to study the risks associated with storing industrial waste and to assist businesses in improving their waste management practices for the purpose of sustainable development. The initial analysis of dangers and the Risk Assessment Matrix show that hazardous wastes like used batteries, used oils, and Askarel transformers can cause serious harm to the environment and humans if not handled safely. They can make the air, water, and soil dirty, and they can also contaminate the fauna and flora.

Blockchain technology applications in waste management: Overview, challenges and opportunities

Rapid population growth and urbanisation have accelerated waste generation, and effective waste management has become a major challenge worldwide. With advances in technology and management methods, waste management strategies have begun embracing digitalisation, leveraging the Internet of Things (IoT), big data analytics, cloud/edge computing, machine learning, 5G communication, and blockchain technologies. Amongst them, the blockchain technology has the structural features of achieving information security and integrity without central guarantees. Blockchain also meets the data record/storage needs of waste management and the design of new mechanisms for effective waste management. These benefits make blockchain an attractive technology in the field of waste management, with researchers and practitioners alike investigating its broad applications to support sustainable waste management. However, this emerging technology has not yet been widely accepted by potential users. To further champion the application of blockchain technology, this review paper provides a systematic overview of the various pathways in which the technology has been applied in the waste management industry and further discusses its related challenges and opportunities via considering the promising prospect of combining blockchain technology with IoT, artificial intelligence (AI) and life cycle assessment (LCA). This review also provides insights for interpreting some emerging applications of blockchain in the field of waste management and clarifying the research paths in the context of blockchain, digitalised waste management, and circular economy.

Exploring industrial waste management challenges and smart solutions: An integrated hesitant fuzzy multi-criteria decision-making approach

Industrial waste encompasses all types of waste generated from industrial, manufacturing, and mining activities. To minimize adverse environmental impacts, industrial waste can be effectively managed through implementingsmart technologies. The present study aimed to identify the challenges of industrial waste management and propose smart solutions to effectively manage these challenges. The findings derived from a systematic literature review indicate that the challenges of industrial waste management can be classified into five dimensions within the STEEGO model. By evaluating the weights of each dimension using the HF-BWM method, the “organizational” dimension, with a weight of 0.27, was found to be the severest challenge, while the “technological” dimension, with a weight of 0.347, was considered to be the most probable challenge. Furthermore, the findings from conceptual modeling, using the TISM method, show that the primary challenges in industrial waste management include: “a lack of culture for effective waste management”, “insufficient training on legal waste drainage and proper waste digestion”, and “a lack of specific technical instructions for refining and recycling." To overcome these challenges, smart solutions have been proposed. The result of the HF-QFD method indicate that the most important solution is “constructing smart infrastructure for proper waste management”, with a score of 0.27.The novelty of this study lies in the theoretical development of the model for the challenges of industrial waste management by applying the “organizational” dimension, considering both biological and physical aspects in the “environmental” dimension, identifying smart solutions to overcome the challenges for cleaner industrial waste systems, as well as using smart industrial waste management technologies in different industries.Our results emphasize that, given the type of waste, industry managers should employ specific smart technologies for disposing and recycling industrial waste. This approach can prevent the loss of raw materials and protect the environment from various types of waste.

In-line quantitative estimation of ammonium polyphosphate flame retardant in polyolefins via industrial hyperspectral imaging system and machine learning

Due to developments in European legislation, several halogenated flame retardants are banned due to their toxicity, and the use of phosphor-based flame retardants in plastics is increasing. A revision of ammonium polyphosphate (APP) flame retardant revealed that it is an eye irritant and toxic, thus posing a health issue. Hence APP identification is needed for enabling safe recycling of plastic waste streams. Herein an industrial in-line method for quantitative estimation of APP in low density polyethylene (LDPE) and polypropylene (PP) is demonstrated, by using an industrial hyperspectral imaging system (955 to 1700 nm) and principal component analysis (PCA). Spectra of plastic samples with varying concentrations of APP were applied to build and calibrate a quantitative determination method. PCA and band area ratios (of selected bands) were made and fitted with continuous functions for concentration determination. The plastic samples were characterised by elemental analysis, attenuated total reflection, differential scanning calorimetry, and thermogravimetric analysis. The PCA model outperforms the band area ratio model and predicts APP concentrations between 24.3 and 1.5 wt% in LDPE (R2 = 0.98) and 20.0 and 1.7 wt% in PP (R2 = 0.97). Unknown samples with APP ranging from 23.7 to 2.7 wt% in LDPE and from 18.6 to 2.3 wt% in PP were predicted and correlated to the actual concentrations. The proposed approach is valuable for the plastic recyclers and waste management industries where inline concentration determination of flame retardants is key.

ДИНАМІКА ОБСЯГІВ ПРОДУКУВАННЯ ВІДХОДІВ БУДІВНИЦТВА I ЗНЕСЕННЯ У МІСТІ КИЄВІ

Construction and demolition waste can be widely used in construction to obtain such valuable materials: as a filler and binder for the production of concrete, dry building mixes and other building materials, for the production of building materials with protective properties against electromagnetic radiation and static of electricity, for the manufacture of anode earthing devices, etc. Therefore, the determination of the regression dependence describing the dynamics of production volumes of construction and demolition waste in the city of Kyiv to solve the problem of solid industrial waste management is an urgent scientific and technical task. The purpose of the study is to determine with the help of regression analysis of dependence, which describes the dynamics of production volumes of construction and demolition waste in the city of Kyiv to solve the problem of solid industrial waste management. During the study, the method of regression analysis of the results of one-factor experiments and other paired dependencies was used, with the selection of the best type of function from the 16 most common options according to the criterion of the maximum correlation coefficient. The regression was carried out on the basis of linear transformations, which allow to reduce the non-linear dependence to a linear one. The coefficients of the regression equation were determined by the method of least squares using the developed computer program "RegAnalyz", which is protected by a certificate of copyright registration of the work. An adequate regression dependence describing the dynamics of construction and demolition waste generation in the Vinnytsia region was obtained. A graphical dependence was constructed that describes the dynamics of production volumes of construction and demolition waste in the city of Kyiv and allows to visually illustrate this dynamic, to show a sufficient convergence of theoretical and actual results. It was established that in the city of Kyiv during 2015-2019, the mass production of construction and demolition waste grew exponentially.

Waste Management Practices for Mushroom Cultivation in Malaysia

Mushroom cultivation can be considered one of the best presentations of sustainable and circular economy activities. The growth substrate used for mushroom cultivation consists of other agricultural waste and its post-harvested waste. The waste product, Spent Mushroom Substrate (SMS), could also be used for animal feeding, plant fertilizer, and feedstock for biogas. It is then essential to determine whether the SMS produced is being used for other purposes to ensure that mushroom agriculture activity is a sustainable and circular economy activity. Therefore, this study explores the mushroom industry's waste management practices in the Malaysian context. A cross-sectional survey was conducted on 89 mushroom farmers. The results found that 60.7% of them manage SMS eco-friendly while only 16.9% handle plastic waste eco-friendly. This finding indicates that not all mushroom cultivation in Malaysia can be considered a sustainable and circular economic activity. Therefore, strategies should be formulated to increase the sustainable approach to managing SMS, such as workshops or providing comprehensive infrastructure and networks.

Review of Togolese Policies and Institutional Framework for Industrial and Sustainable Waste Management

Waste and resource management in Togo is expected to become more difficult due to increasing socioeconomic development, industrialization, and renewable energy investments. Although there are numerous elements that affect waste and resource management, legislation and policy frameworks are essential. In response to the growing demands for environmental protection, the legal provisions and regulatory frameworks of waste and resource management, as well as the legal implementation process, must be more and more comprehensive. Some actions have been taken in Togo to improve the incorporation of more sustainable industrial processes, which include restrictions and regulations on MSW generation, decentralization of MSW management, policies and incentive systems that promote waste reduction, reuse, and recycling, improvement of enforcement through investigation and treatment of violations, and encouragement of macro-socio-economies in the management of municipal solid waste. In spite of the presence of these policies, the sector is still plagued with numerous challenges, mostly in terms of implementation and the application of these policies to develop tailor made and locally feasible solutions. This research paper highlights relevant policies relating to MSW management in Togo as well as key international conventions and policies. It also discusses the contribution that “transition management” can make to such processes, emphasizes the role of governance for sustainable development, and it suggests solutions with a long-term transformation impact such as the incorporation of waste to energy systems into industrial processes. The paper further identifies some flaws and challenges with law implementation on MSW management and suggests solutions to improve the effectiveness of law implementation and the conditions and criteria for a safe and secure way to use waste-derived materials and fuels or by-products coming from society or other industries. These policy suggestions may also be applicable globally at an individual industry level to encourage the creation of more Green Industrial Companies (GICs).

A Review of Green Technology and its Effects in the Auto Industry

The primary objective of green technology is to in climate change management, natural environmental preservation, non-renewable resource reliance, and mitigating environmental hazards. Some of the industrial sectors that are actively investing in this type of technology include waste management, energy and transportation industries. There are a lot of positives to using this technology, but it still has to mitigate some of the challenges before it is considered a standard. The green technology industry has seen rapid expansion in recent years. The significance of green technology in mitigating threats to the environment and preserving natural resources becomes more apparent every day, as does the need for more investment in such solutions. Since the majority of the world's pollution, especially CO2 and other greenhouse gases, is produced by developing countries due to careless environmental policy implementation, addressing the issue of technology transfer is crucial. Emerging technologies for reducing emissions include improved solar cells, wind power, and electric vehicles, as discussed in this paper.

Measuring circular economy transition potential for industrial wastes

The circular economy (CE) represents a paradigm shift in global production system, promoting a transition away from the linear model towards maximizing resource intensity and value addition. For industrial waste management, the transition has led to a shift from quantitative-based concept of “expansion of recycling industry” to the pursue of optimum resource recovery quality through “waste as resource”. Studies have found that relying on the traditional indicator of “recycling rate” to evaluate WM performance can be “inaccurate, misleading and contributes to wrong policy decision”. This limitation arises from the inadequacy of the quantity-based matric to assess the intricate interdisciplinary nature of CE transition. Despite substantial efforts to develop alternative assessment indices, there is currently no commonly recognized assessment index to replace “recycling rate” for evaluating industrial waste management performance, which is partly due to the lack of comprehensive WM statistics required for effective performance evaluation. To address this issue, this paper proposes the “circularity performance index (CPI), as a swift and pragmatic method for evaluating WM performance. The CPI overcomes the limitations of the recycling rate by measuring the relative efficiencies of resource recovery, taking into account environmental, social, and economic perspectives. By utilizing readily available general industrial waste statistics, the CPI provides an integrated assessment that incorporates both quantity and quality considerations. Furthermore, the CPI is applicable at various levels, from micro to macro, enabling comparisons across different sectors and regions. To demonstrate the practicality of CPI, a case study involving 27 manufacturing sectors is conducted to exemplify its applicability at national and sectoral levels. The findings reveals a weak correlation between the quantity and quality of resource recovery, providing empirical support for the limitation of “recycling rate” and highlighting the advantages of CPI in evaluating resource recovery efficiency. The outcome underscores the significance of measuring resource recovery efficiency in assessing CE transition and draws attention to external factors that influence waste recovery decision, such as availability of recycling infrastructure and the cost of recycling.

Perspective of heavy metal potential risk in wetland soil and fish for amplified waste management around Lake Victoria, Uganda

Ssanyu GA, Kiwanuka M, Lunkuse I, Okumu D, Mbeiza NM. 2023. Perspective of heavy metal potential risk in wetlands soil and fish for amplified waste management around Lake Victoria, Uganda. Lake Reserv Manage. X:XXX–XXX. Increasing unsustainable agricultural and land management activities reduce the effectiveness of wetlands in absorbing heavy metals. This leads to high and detectable heavy metal levels in wetland soil and fish, respectively. This study assessed the content of heavy metals, particularly cadmium (Cd), chromium (Cr), cobalt (Co), lead (Pb), and nickel (Ni), in the water, soils, and commercial wetland fishes (Protopterus aethiopicus and Clarias galiepinus) from Lake Victoria wetlands with different land uses. Heavy metal analysis was done using inductively coupled plasma–optical emission spectrometry. Mean Cd and Pb levels were below the World Health Organization (WHO) permissible limits in all the wetlands’ water samples. Wetlands associated with urban or industrial development presented higher levels of Pb than other wetlands. Wairaka wetland, associated with commercial agriculture, presented a significantly higher mean concentration of Cr (191.2 mg/kg) in the soil than other wetlands. Cr and Ni contents were high in all fish muscle samples, while Cd and Pb contents in fish muscles were below WHO permissible limits, except for Clarias fish from 2 urban/industrial and one commercial agriculture affected wetlands, which had higher Pb than in other fish muscle tissues. The hazard index values of both fish species were greater than one from urban/industrial and commercial agriculture associated wetlands, implying that fish consumers would encounter noncarcinogenic health risks. More efforts are needed to strengthen Lake Victoria industrial and municipal waste management strategies to reduce the potential heavy metal risk in wetland soil and fish.

Soil degradation and mitigation in agricultural lands in the Indian Anthropocene

AbstractCurrent widespread and intensive soil degradation in India has been driven by unprecedented levels of population growth, large‐scale industrialization, high‐yield agriculture, urban sprawl and the spread of human infrastructure. The damage caused to managed and natural systems by soil degradation threatens livelihoods and local services and leads to national socio‐economic disruption. Human‐induced soil degradation results from land clearing and deforestation, inappropriate agricultural practices, improper management of industrial effluents and wastes, careless management of forests, surface mining, urban sprawl, and ill‐planned commercial and industrial development. Of these, inappropriate agricultural practices, including excessive tillage and use of heavy machinery, over‐grazing, excessive and unbalanced use of inorganic fertilizers, poor irrigation and water management techniques, pesticide overuse, inadequate crop residue and/or organic carbon inputs, and poor crop cycle planning, account for nearly 40% (121 Mha) of land degradation across India. Globally, human activities related to agriculture contribute to the transgression of four of the nine Planetary Boundaries proposed by Rockström et al. (2009): Climate Change, Biodiversity Integrity, Land‐system Change, and altered Phosphorus and Nitrogen Biogeochemical Flows. This review focuses on how knowledge of soil processes in agriculture has developed in India over the past 10 years, and the potential of soil science to meet the objectives of the United Nations' Sustainable Development Goal 2: Zero Hunger (End hunger, achieve food security, improved nutrition and promote sustainable agriculture), using the context of the four most relevant Planetary Boundaries as a framework. Solutions to mitigate soil degradation and improve soil health in different regions using conservation agricultural approaches have been proposed. Thus, in this review we (1) summarize the outputs of recent innovative research in India that has explored the impacts of soil degradation on four Planetary Boundaries (Climate Change, Biodiversity Loss, Land‐system Change, and altered Biogeochemical Flows of Phosphorus and Nitrogen) and vice‐versa; and (2) identify the knowledge gaps that require urgent attention to inform developing soil science research agendas in India, to advise policy makers, and to support those whose livelihoods rely on the land.

Analysis of Food Industry Waste Management Based-On the Food Recovery Hierarchy and 3R Concept – A Case Study in Padang City, West Sumatra, Indonesia

Analysis of Food Industry Waste Management Based-On the Food Recovery Hierarchy and 3R Concept – A Case Study in Padang City, West Sumatra, Indonesia

The practice of waste management in the RUDN University

The pandemic period has left a serious imprint on the development of universities: the formats and content of lectures, workshops, research directions and, in general, the organization of university life. However, the role of universities as centres for the development of a culture of sustainable development remains unchanged: development of new educational courses, demonstration of the university’s achievements in reducing the amount of waste generated, as well as interdisciplinary research on the climate neutrality of the waste management industry. The University implements educational activities for schoolchildren, students, and volunteers. Waste recycling programs have been implemented. A new direction of the university’s activity is the analysis of the carbon footprint of organizations within the framework of the work of the greenhouse gas validation and verification body, the first in Russia to be opened at the RUDN. Management of greenhouse gas flows in waste management is a very popular area of validation and verification. The involvement of university students in research programs involves the development of this topic. The University is a representative facility for estimating greenhouse gas flows caused by waste flows. Thus, the pandemic period has become a period of opportunities for RUDN to create a new scientific and educational direction.

Get the win-win: Sustainable circular model of 'generation-value-technology' of industrial solid waste management.

The management of industrial solid waste (ISW) and promoting sustainable circular development of the industrial economy is an urgent priority today. Therefore, this article constructs a sustainable circular model of 'generation-value-technology' of ISW management through the lens of industrial added value (IAV) and technology level. Also, the importance of the role of government is considered in the model. Based on actual data of China, this article simulates the future trend of the model using a system dynamics approach. The chief findings of the study are as follows: (1) under the current policy, China's future industrialization is increasing and the technological level of industrial enterprises is rising, but this is accompanied by a climb in ISW generation. (2) The win-win situation of ISW decrease and IAV increase can be achieved through enhanced information disclosure, technology innovation and government incentives. (3) Government subsidy should be oriented towards supporting technology innovation in industrial enterprises while reducing the proportion of incentives for ISW management results. Based on the results, this study proposes targeted policy implications for government and industrial enterprises.