Solid Waste Generation Research Articles

An assessment of household solid waste management in Mainpuri, Uttar Pradesh, India

<p>Rapid industrialization, urbanization, population growth, and migration from rural areas have resulted in increased solid waste generation in developing cities, which is commonly regarded as the most significant urban issue. The improper disposal of waste and inefficient collection methods is a significant problem in most of the municipalities in Indian cities. This challenge is further compounded by unscientific waste treatment practices, lack of modern technology, and limited resources. This study aims to assess the status of solid waste generation and disposal across different household income groups and to evaluate how Mainpuri manage and handles the solid waste management system. The study is based on primary data collected through a household survey in Mainpuri city, covering a sample of 1,836 households from various income groups. The data used in this assessment was collected from household surveys and government records. Although there is a recycling plant in operation, its capacity is inadequate to address the increasing waste generation and demands of the community. This shortfall underscores the need for enhanced waste management strategies and infrastructure to effectively cope with the rising volumes of solid waste. As a result, large quantities of solid waste accumulate in low-lying areas near the Isan River and the proximity of the plant. Without a comprehensive solid waste management plan in the municipality, the situation is likely to deteriorate further. Mainpuri City urgently needs a sustainable strategy to effectively manage its solid waste, addressing both current challenges and future demands. Implementing such a strategy is essential for improving public health, environmental conditions, and overall quality of life in the city.</p>

Comparative Life Cycle Assessment of Landfilling with Sustainable Waste Management Methods for Municipal Solid Wastes

Municipal solid waste (MSW) generation continues to increase exponentially, leading to the need for better disposal methods. Approximately 50% of the MSW is landfilled in the United States (US). Landfilling is known for its negative effects on the environment and human health. The objective of this study was to conduct a life cycle assessment (LCA) of some of the most common waste treatment methods and propose an alternative and environmentally friendly integrated waste management method (IWM). The LCA was conducted using OpenLCA. Replacing landfilling, incineration, and composting with recycling, gasification, and anaerobic digestion (IWM) reduced the global warming potential from 899 kg CO2 eq to −14.6 kg CO2 eq. The same trend was observed for acidification (from 0.21 kg SO2 eq to −1.1 kg SO2 eq), ecotoxicity (from 2363.8 CTUe to 1.22 CTUe), eutrophication (from 0.5 kg N eq to 0.3 kg N eq), smog formation (from 4.4 kg O3 eq to 1.85 kg O3 eq), ozone depletion (from 2.1 × 10−5 kg CFC-11 eq to 0 kg CFC-11 eq), respiratory effects (from 2.8 × 10−3 kg PM2.5 eq to −7.25 × 10−3 kg PM2.5 eq), cancer (from 2 × 10−5 CTUh to 1.2 × 10−7 CTUh), and non-cancer effects (from 6 × 10−5 to 1.4 × 10−5 CTUh). The results show that an integrated waste management approach with recycling, gasification, and anaerobic digestion can dramatically reduce the environmental and health impacts of municipal solid waste disposal. Policy reforms, technical innovation, economic investment, and social engagement are needed to change waste management paradigm.

Innovation and Sustainability in the Amazon with the Use of Blockchain

Objective: The general objective of this study is to model the implementation of a blockchain system for solid wastemanagement in a government agency. The specific objectives of the results are to identify the main challenges in implementing a blockchain system for solid waste management in Public Management (1); characterize the blockchain models identified in this investigation (2); and develop a blockchain system model for solid waste management in a government agency (3). Theoretical Framework: The Theory of New Public Management, discussed in Madan and Ashok (2022), is the basis of this study, considering the notes of these authors, who address the dominant paradigm in public administration. Method: This research has a qualitative or mixed approach, as it includes parametric elements based on architecture such as blockchain, supported by bibliographical research and documentary analysis. The bibliographical research was based on elements of an integrated solid waste management system, through a framework, as conceptualized in the specific topic of this study. The Content Analysis method was used to research documents and other textual or audiovisual databases on solid waste management and blockchain technology. This research method allowed us to extract relevant information from the data collected, organize it into thematic categories, and interpret it in light of the theoretical framework obtained. By applying Content Analysis, patterns, meanings, and nuances were identified that could enrich the understanding of the phenomenon studied, ensuring an in-depth and contextualized analysis. Results and Discussion: The scenario of research on solid waste management in Brazil is marked by significantchallenges that reflect the complexity of the country's socioeconomic and environmental context. According to Agência Brasil (2023), the generation of solid waste has increased alarmingly, with data from 2021 indicating that more than 80 million tons were produced, of which only 32.5% were correctly disposed of. Thisreality highlights the urgent need for effective and innovative public policies that address integrated waste management. Research Implications: The relevance of implementing a blockchain system in public governance is highlighted, considering the growing demand for innovative and sustainable solutions. Originality/Value: This study is of interest to government managers, academics involved in applied research onblockchain in waste management, politicians and other leaders committed to excellence in management, and other professionals committed to promising results in the relationship between innovation and sustainability in organizations.

Monitoring sustainable waste management in OECD countries: A Malmquist productivity approach

Sustainable waste management (SWM) practices are crucial for tackling environmental concerns under a circular economy (CE) scope. Thirty-one OECD countries have been evaluated on their national SWM performance via Malmquist data envelopment analysis (DEA) methodology from 2000 to 2021. The Malmquist (MPI) and Malmquist-Luenberger (MLPI) productivity indices are compared based on their total factor productivity (TFP) and its elements (i.e., efficiency and technological changes). Both models have the gross domestic product (GDP) as a desirable output, but MLPI also incorporates municipal solid waste (MSW) generation and greenhouse gases (GHGs, i.e. CO2 and CH4) as undesirable outputs. MLPI has a lower average performance (1.74%) than MPI (4.42%), meaning that the incorporation of waste and GHGs has diminished an OECD country’s SWM performance by 2.5 times on average. In essence, it is innovation that drives TFP in the selected countries. Overall, the synergistic implementation of SWM practices, Malmquist DEA-based methodology, and CE principles is crucial for advancing sustainable development and achieving a circular and resilient future. The manuscript also offers policy implications regarding the need of financial incentives, vocational training, and fostering stakeholder encouragement in the waste sectors to implement CE solutions.

PH shifting adaptive evolution stimulates the low pH tolerance of Pediococcus acidilactici and high L-lactic acid fermentation efficiency

L-lactic acid fermentation at low pH reduces the use of neutralizers during fermentation and the generation of solid wastes in purification processes. Most lactic acid bacteria exhibit weak tolerance and poor cell viability at low pH. This study proposes a pH shifting adaptive evolution method to improve the low-pH tolerance of an engineered Pediococcus acidilactici strain. In the first stage, cells were cultured at a moderate pH to maintain the cell viability, then shifted to a low pH to enhance low-pH tolerance. Long-term pH shifting evolution culture of the engineered P. acidilactici between the moderate and low pH resulted in a 43 % increase in L-lactic acid production at pH 4.6 (110.4 g/L) and a 2.1-fold increase at pH 4.4 (80.7 g/L) compared to the parental strain when using wheat straw as a feedstock. This pH-shifting adaptive evolution strategy provides an effective tool for improving the low-pH tolerance of lactic acid bacteria.

Evaluation of municipal solid waste (MSW) generation rates: A case study in the district of Cumba, Northern Peru

The objective of this research was to evaluate the unit rates of MSW generation in Cumba in the years 2016 and 2022. The calculations were based on the weights of the MSW disposed in the dump located 5 km from the city of Cumba since 2012. The GPC, physical composition, density, humidity were determined in the years 2016 and 2022, studied according to the methodology and group classification of Peruvian regulations. The results show that 5.45 Tn/day−1 are generated in 2016, 4.37 Tn/day−1 in 2022; according to its physical composition, 82% RO, 14% MICVC and 4% MISVC in 2016; 77% RO, 16% MICVC, 7% MISVC in 2022; density 137.90 kg/m−3 in 2016 and 172.69 kg/m−3 in 2022; humidity 67.67% in 2016 and 63.43% in 2022. It was also found that in 100.00% there is no solid waste treatment; Everything generated in homes, businesses and streets is evacuated to the final disposal site, which is a dump. In 2022, Cumba acquired 10 hectares to have adequate sanitary infrastructure and begin the closure and recovery of its current dump. This study will contribute to providing accurate data on MSW generation that allows the local government to promote the optimization of collection routes and schedules, resulting in cost savings and reduction of carbon emissions in the Amazon Region. Therefore, it is necessary to raise awareness at all levels of society through various means of communication and education, so that the risks of spreading health risks can be minimized by improving MSW management.

Sustainable Waste Management in Urban Area - A Case Study of the Waste Management of the Cities in China

As urbanisation continues to accelerate, the integration of regional waste treatment capacity is becoming increasingly important and challenging nowadays, as economic development imbalances and environmental problems are becoming more prominent. An important component of urban development is the generation and management of municipal solid waste , and due to differences in socio-economic status, China's world-class metropolises such as Shanghai and medium-sized cities such as Xiamen are facing the same problem. This study attempts to explore the possibilities and prospects for sustainable waste management in China's future by comparing Xiamen with Shanghai, using relevant structural models and relevant research data within the city and the region. The introduction of the concept of waste-free cities also provides a greater diversity of options for future programmes. Finding effective strategies based on China's socio-economic and cultural conditions has implications for developing countries such as China in promoting the shift from waste management to a circular economy.

Turbine system vs engine generator in the production of energy by methane in the pacific of Mexico: a technical, economic, and environmental analysis.

This paper aims to analyze the potential of energy production using methane from organic waste as a sustainable alternative to mitigate the environmental impact of energy generation from fossil fuels and the generation of Municipal Solid Waste (MSW). To carry out the analysis, two technologies were evaluated from technical, economic, and environmental perspectives. The LandGEM model was used to estimate the methane generation potential. The amount of energy produced, along with the respective financial indicators, was also calculated. The results showed that for an average feed of 671,892 tons per year of waste, 6160 ft3/min of CH4 would be generated at a maximum peak in the tenth year, with an annual average of 4735 ft3/min. Additionally, 0.831 million metric tons of CO2 equivalent would be avoided. In terms of power generation, a combined cycle micro-turbine system with an installed capacity of 11.35 MW would be feasible and would yield an Internal Rate of Return (IRR) of 35% and a Net Present Value (NPV) of $11,608,006 USD. For an engine-generator system, it was not possible to verify profitability due to a significant increase in capital and O&M costs. These results are intended to provide reference information to assist in the decision-making process related to the implementation of projects aligned with the Sustainable Development Goals within the framework of the 2030 Agenda.

Effect of landfill leachates on urban soil: A review

The increasing generation of Municipal Solid Waste (MSW) is a significant global concern, with landfills receiving around 1.4 billion tonnes of MSW yearly. Inadequate landfill management contributes to environmental degradation, with landfill leachate being a substantial outcome of MSW decomposition. Leachate contains inorganic nutrients, volatile and dissolved organic molecules and heavy metals and its properties vary depending on waste composition, moisture content and seasonal elements. Heavy metals found in leachate include Pb, Cu, Cr, Ni, Mn, Hg, Fe, Zn and Cd and Emerging Organic Contaminants (EOCs) such as Persistent Organic Pollutants (POPs), Endocrine Disrupting Chemicals (EDC), pharmaceuticals and Personal Care Products (PCPs) are also prevalent. Microplastics (MPs) have been found in raw leachate samples at concentrations ranging from 49.0 ± 24.3 to 507.6 ± 37.3 items/L. Landfill leachate production ranks among the most aggressive pollutants to the environment, particularly to soil and poses a danger of contaminating both surface and groundwater. This review examines the potential impacts of landfill leachate on soil quality and the broader implications of this phenomenon, summarizing recent scientific studies and presenting the direct and indirect effects of leachate on soil based on the literature. Bibliometric analysis of publications in the Scopus database reveals a growing scholarly interest in this topic, with the number of publications in the Science Citation Index (SCI) database increasing dramatically to over 464 articles between 2009 and 2024.

Overview of the Legislation on Solid Waste from the Civil Construction with a View to Sustainability

Objective: The construction industry is a large generator of solid waste, which can be treated, reused or, if this is not possible, disposed of as waste in a sustainable manner. The lack of well-structured legislation bring difficulties to dispose of this waste correctly. This article aims to analyze Brazilian and other countries' legislation about construction waste, to understand how it is being treated, used or disposed of and what legal standards are applied. Method: It uses a bibliographical research, which describes the existing legislation in several countries and presents a comparative table, highlighting the variability in the treatment given to waste and the absence, in Brazil, of a robust and comprehensive public policy. Result: It is observed that the legislation is generalized, with no single public policy that encompasses all the requirements for treatment, reuse and correct disposal, highlighting missing policies in Brazil, such as tax for aggression to the environment. Conclusion: Valuable information is collected for public policy makers and construction operators, concerned with environmental preservation, who can collaborate to meet the objectives of the Sustainable Development Goals proposed by the United Nations.

Integrated municipal solid waste management using ArcGIS tools: A case of akaki-kality sub-city, addis ababa, ethiopia.

This study aimed to optimize the solid waste collection and transportation system using ArcGIS Network Analyst and location-allocation tools. The generated solid waste was characterized by proximate analysis. The generation rate and composition were determined according to standard methods. The average solid waste generation rates for households, commercial sites, institutions, and recreational places were 0.48kg/c/day, 15.03kg/fac/day, 9.32kg/fac/day, and 22.8kg/fac/day, respectively. The estimated total generation rate of the sub-city is 207,004.03kg/day and 712.13 m3/day as discarded base. Composition analysis revealed that food waste is the major component of municipal solid waste, with estimated weight and volume of 134,696.08kg and 299.46 m3, respectively. Proximate analysis indicated that food and textile wastes have relatively high moisture content and fixed carbon. Candidate pre-collection bin allocations were optimized based on factors such as road network, distribution of solid waste generators, and existing temporary dumping sites, resulting in 1052 potential bin locations. Transfer station allocation was optimized by considering land use-land cover, slope, and geology. Twelve transfer routes and four transport routes were established to efficiently serve the bins and final waste destinations. In conclusion, the study demonstrates that ArcGIS Network Analyst and location-allocation tools can effectively optimize the municipal solid waste collection and transportation system, providing a robust framework for improving waste management efficiency. However, further research is recommended to validate these findings through field application.

Hybrid Modeling Techniques for Municipal Solid Waste Forecasting: An Application to OECD Countries

Abstract Accurate forecasting of municipal solid waste (MSW) generation is critical for effective waste management, given the rising volumes of waste posing environmental and public health challenges. This study investigates the efficacy of hybrid forecasting models in predicting MSW generation trends across Organization for Economic Cooperation and Development (OECD) countries. The empirical analysis utilizes five distinct approaches – ARIMA, Theta model, neural networks, exponential smoothing state space (ETS), and TBATS models. MSW data spanning 1995–2021 for 29 OECD nations are analyzed using the hybrid models and benchmarked against individual ARIMA models. The results demonstrate superior predictive accuracy for the hybrid models across multiple error metrics, capturing complex data patterns and relationships missed by individual models. The forecasts project continued MSW generation growth in most countries but reveal nuanced country-level differences as well. The implications for waste management policies include implementing waste reduction and recycling programs, investing in infrastructure and technology, enhancing public education, implementing pricing incentives, rigorous monitoring and evaluation of practices, and multi-stakeholder collaboration. However, uncertainties related to model selection and data limitations warrant acknowledgment. Overall, this study affirms the value of hybrid forecasting models in providing robust insights to inform evidence-based waste management strategies and transition toward sustainability in the OECD region.

Selective ion channel adsorbents facilitate efficient and low environmental impact extraction of liquid lithium resources

As lithium is the cornerstone of green energy development, it is crucial to realize a low environmental impact and efficient lithium extraction process. Ion-sieve adsorption is the most widely used method to extract liquid lithium resources, but this method is only efficient under alkaline conditions for H+ and Mg2+ competing adsorption. Conventional methods are often accompanied by the consumption of quantities of alkali, the generation of solid waste, and the acidification of liquid lithium resources. To address these issues, a selective ion-channel adsorbent was constructed. The composition comprises an ion sieve adsorbent and an organic carrier with a zwitterionic quaternary ammonium base group. This group storages OH-in situ, hinders H+ diffusion, slows down Mg2+ diffusion, and accelerates Li+ diffusion by relying on the difference in binding energies, which reduces the competing adsorption and avoids acidification and solid waste generation. The saturated adsorption capacity (21.38mg/g) and selectivity of the adsorbent are 4.7 and 24 times higher than that of conventional ion-sieve adsorbent under neutral conditions respectively. The dosage of alkali is 1/256 of the traditional method, the effluent remains neutral and no solid waste is generated. This study presents an environmental and effective adsorbent for lithium extraction.

Solid waste characterization in the slum areas of Bagmati River—A case of Kathmandu, Nepal

Solid waste management (SWM) is a challenging environmental issue globally, with developing nations experiencing considerable difficulties in its efficient and effective implementation. Urban slum areas within these regions, particularly, have been reported to face unique challenges in SWM due to a combination of factors, including the low socio-economic status of residents, high population density, inadequate infrastructure, and a thriving informal economy. Despite these critical concerns, most SWM research in Nepal has concentrated on major cities and tourist hotspots. As a result, the condition of SWM in urban slum areas, typically found along the banks of major rivers in Nepal, remains a critical yet neglected aspect in research and policy discussions. This study, therefore, aims to evaluate SWM in the densely populated urban slum areas situated along the Bagmati River, a key river system in Kathmandu, the capital of Nepal. Four major slum locations within the central metropolitan area of Kathmandu—Sinamangal, Thapathali, Teku, and Balkhu—were selected for the study, and systematic random sampling and characterization of household solid waste was conducted. The results reveal that the average household solid waste generation rates in the four study sites were 155.32 g capita−1 d−1, 124.69 g capita−1 d−1, 149.9 g capita−1 d−1, and 218.44 g capita−1 d−1, respectively. Organic wastes was the most prevalent type, comprising 63.34% of the total waste, followed by paper and paper products (13.72%), plastics (12.15%), dirt and construction debris (5.57%), glass (4.31%), and other wastes (0.91%). Qualitative data from the survey revealed that although municipal waste management programs exist, awareness and participation among residents were limited. As a result, many households ended up managing their waste on their own, often in an unscientific manner polluting the river water in the vicinity. The study offers critical insights for policymakers, operators, and regulators in addressing the growing challenges of SWM. Findings are expected to aid in the sustainable management of solid waste along the river basin in central urban regions of the capital city. Under Nepal's new federal governance system, provincial and local governments are recommended to collaborate with all stakeholders, including households, to develop comprehensive, multimodal SWM strategies that also address the needs of slum areas.

Effectiveness of NGOs in mountainous solid waste management: A case study from Healing Himalayas in Rakchham, Himachal Pradesh, India.

Non-governmental organizations (NGOs) play a critical role in addressing solid waste management (SWM) challenges in remote mountain communities, including the ecologically fragile Himalayan region. This study evaluates the impact of Healing Himalayas, an NGO, in Rakchham village, Himachal Pradesh, India. The objectives were to evaluate the effectiveness of Healing Himalayas' decentralized SWM model in promoting stakeholder engagement and resource recovery, assess the role of collaborations between local authorities and the NGO in financing waste management practices, investigate the influence of tourism and seasonal variations on solid waste generation patterns and waste management practices in Rakchham, and material recovery facilities, followed by glass (36.7%), paper/cardboard (18.4%) and metal (4.1%). A fee-based system involving the local village council funded waste operations. Waste generation exhibited significant seasonal fluctuations, with tourism influxes driving increased volumes. Healing Himalayas' initiatives promoted community participation, with over 15 awareness workshops conducted. Key challenges included limited financial resources, inadequate infrastructure, lack of advanced treatment facilities and need for context-specific solutions like efficient wet waste management in cold climates. The study highlights Healing Himalayas' decentralized model's success in fostering stakeholder engagement, behavioural change and resource recovery. The findings inform effective strategies for NGO-led waste management initiatives tailored to remote Himalayan communities.

Research progress on comprehensive utilization of fluorine-containing solid waste in the lithium battery industry

With the rapid development of the lithium-ion battery (LIB) industry, the inevitable generation of fluorine-containing solid waste (FCSW) during LIB production and recycling processes has drawn significant attention to the treatment and comprehensive utilization of such waste. This paper describes the sources of FCSW in the production of LIBs and the disposal of spent LIBs. Subsequently, the fundamental characteristics of FCSW were introduced, including resource properties and hazardous attributes. Furthermore, it comprehensively reviews recent technologies for treating FCSW. Finally, future research on FCSW was prospected. This paper aims to provide practical guidance for the treatment and application of FCSW in the LIB industry, help solve the problem of resource recovery in HCSW treatment, and promote the HCSW industry to achieve more efficient and sustainable development.

Role of big data analytics and hyperspectral imaging in waste management for circular economy

The accumulation of waste has a profound impact on the environment, prompting a crucial discussion about effective waste management strategies aligned with Oman Vision 2040’s sustainability goals. The consequences of municipal solid waste generation have multifaceted impacts on the environment, public health, and overall well-being of communities. Addressing these consequences requires a holistic approach that includes the integration of sustainable waste management technologies to foster a circular economy. This paper emphasizes the necessity for a paradigm shift in waste management methodologies, emphasizing the importance of Hyperspectral Imaging and Big Data Analytics into municipal solid waste management processes. This paper explores the synergistic relationship between hyperspectral imaging which is capable of precise material identification, and big data analytics to facilitate comprehensive data analysis. The integration aims to optimize waste segregation, resource recovery, and recycling processes. The utilization of data-driven insights enables predictive modeling and the identification of trends thereby facilitating more efficient and sustainable waste management practices. The harnessing of big data analytics empowers stakeholders to make informed decisions in waste management to achieve long-term environmental, and economic sustainability.

Affordable and sustainable clean energy generation potentials from municipal dumpsites: case study of Oke saje dumpsite, Abeokuta, Ogun State, Nigeria

The operating method of final waste disposal in Oke saje area of Abeokuta is direct open dumping and burning. This study was conducted at a major dumpsite in Abeokuta, to investigate the existing waste management systems, characterize solid wastes generated, and estimate for the sustainable energy generation potentials. Exploratory study design was adopted for a period of six (6) months, May to November, 2023. Seven (7) randomly selected plots of 1sq.m were located on Oke saje dumpsite, from where solid wastes were collected from top to the depth of 300 mm. Waste components were weighed to obtain the weight-based characterizations. Sorting into major waste components was in accordance with College and University Recycling Council (CURC) grouping system with modifications to accommodate peculiar waste stream generated in Oke saje dumpsite. Waste samples were taken to laboratory to carry our necessary physical, chemical and proximate analyses. Estimated total solid waste generation in Oke- saje, dumpsite was 3,718,832.03 kg (3718.83 tonnes). Estimated energy content of solid wastes was 46370.47MJ. This implies that there is possibility of electricity generation up to 12.881MWh from daily steam production. An integrated solid waste management concept adoptable to Oke- saje, dumpsite, has zero waste concept of about 46 % waste material recyclable (from composting, bio-fuel production and recyclables), with electricity generating potential of 5.923 KWh and 56 % energy recovery (from electricity generation, incineration-derived ash and residual ash for landfilling or soil enhancement), of about 6.956 KWh. Considering the high material recyclability, reusability and energy recovery potentials from solid wastes generated from Oke saje dumpsite, it was recommended that the Ogun State Waste Management Authority adopts affordable, sustainable and integrated waste management options of waste minimization and sorting from the source, reuse, recycling, and incineration of solid waste generated from the large communities within the state.

Optimization of municipal solid waste management system in landfill using response surface methodology - a case study of Ogbomoso South Local Government

In this study, Solid waste generation and collection assessment within the study area was undertaken with the view of formulating an optimization model that helped identify the important variables influencing the overall cost of solid waste management and also determine their optimum values. Some of the important variables used in formulating the model include; The number of solid waste collection trips (X1), Number of manpower (Persons) (X2), Fuel consumption per day (X3), Weight of solid waste collection per trip (X4). To determine the model, Statistical design of experiment (DOE) using central composite design method (CCD) was employed. The number of experimental runs based on the CCD method was determined and thirty (30) experimental runs were thereafter generated and optimized. Result of the optimization model revealed that; the number of solid waste collection trips per month (X1 = 47), Number of manpower (persons) (X2 = 3), Fuel consumption per day (X3 = 18.20liters) and Weight of solid waste collection per trip (X4 = 6.33tons). The optimal solution of selected variables produced an overall cost of N162,300. The solution was selected by the Design Expert software with a desirability value of 1 that is 100% reliability.

Quantification and prediction of solid waste generation based on socio-economical parameters

Quantification and prediction of solid waste generation based on socio-economical parameters