Global knowledge base for municipal solid waste management: Framework development and application in waste generation prediction

He, Rui; Sandoval-Reyes, M.; Scott, Ian; Semeano, Rui; Ferrão, Paulo; Matthews, Scott C.; Small, Mitchell J.

doi:10.1016/j.jclepro.2022.134501

Cited by 32 publications

(13 citation statements)

References 57 publications

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“…Such a practice is commonly referred to as a linear process, where entities change or progress straight from one stage to another, i.e., used to discard [52]. He et al [53] conducted a review of municipal solid waste (MSW) management across 219 countries and concluded that the dominant MSW management practice remains to be landfill disposal in both developed and underdeveloped countries. The decomposition of solid waste in landfilling, if not properly managed, is known to have a significant negative influence on the soil, air, water quality, and human health [54].…”

Section: Waste Management Using a Gc Approachmentioning

confidence: 99%

Circular Economy and Green Chemistry: The Need for Radical Innovative Approaches in the Design for New Products

et al. 2023

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The idea of a circular economy (CE) has gained ground over the past ten years as a means of addressing sustainable development and getting around the limitations of the current and linear dominant production and consumption patterns. The primary goal of a CE is to encourage the adoption of closing-the-loop production methods to improve resource use efficiency, modify chemical processes, and increase product and material lifespan. According to the 2030 Agenda for Sustainable Development, which focuses on 17 Sustainable Development Goals, 14 of which call for the appropriate application of green chemistry (GC) concepts and patterns, the role that chemistry may play in the shift toward more sustainable models is critical. By serving as the foundation for novel products made from renewable feedstocks and designed to be reused, recycled, or recovered with the associated minimum energy requirements, green and sustainable chemistry could be the key to unlocking the economic potential of the CE toward new product design and ultimately solving waste management problems. The aim of this perspective paper, while using a variety of literature sources, is to essentially capture the main issues associated with the CE and GC paradigms and how these two approaches can merge toward sustainable business models and the production of new materials. This integration focuses on reducing waste, conserving resources, and minimizing negative environmental impacts, while also considering economic viability. However, the obstacles to achieving implementation of the CE and GC principles are investment, environmental education, and legislation. To advance toward the circular economy and green chemistry, international agreements should be reconsidered to provide an appropriate framework, including the creation of incentives for businesses and individuals to adopt circular practices, the establishment of education programs to promote the benefits of circular practices, and the development of regulations to support the transition to sustainable production and consumption patterns.

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Section: Waste Management Using a Gc Approachmentioning

confidence: 99%

Circular Economy and Green Chemistry: The Need for Radical Innovative Approaches in the Design for New Products

et al. 2023

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“…Most input variables (SV1−SV7, SV9, and SV13−SV16) and all of the output variables (MO0−MO5) of the HNN model are extracted from an existing SWMS knowledge base. 46 Additional inputs of GNI per capita (SV8), CO 2 emissions (SV11), and PM2.5 pollution (SV12) are collected from the World Bank Database. 47 Technology innovation indices (SV10) are taken from the "Global Innovation Index 2021" report.…”

Section: Data Collection and Preparationmentioning

confidence: 99%

A Novel Domain Knowledge-Informed Machine Learning Approach for Modeling Solid Waste Management Systems

He,

Small,

Scott

et al. 2023

Environ. Sci. Technol.

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Sustainability challenges, such as solid waste management, are usually scientifically complex and data scarce, which makes them not amenable to science-based analytical forms or data-intensive learning paradigms. Deep integration between data science and sustainability science in highly complementary manners offers new opportunities for tackling these conundrums. This study develops a novel hybrid neural network (HNN) model that imposes the holistic decision-making context of solid waste management systems (SWMS) on a traditional neural network (NN) architecture. Equipped with adaptable hybridization designs of hand-crafted model structure, constrained or predetermined parameters, and a customized loss function, the HNN model is capable of learning various technical, economic, and social aspects of SWMS from a small and heterogeneous data set. In comparison, the versatile HNN model not only outperforms traditional NN models in convergence rates, which leads to a 22% lower mean testing error of 0.20, but also offers superior interpretability. The HNN model is capable of generating insights into the enabling factors, policy interventions, and driving forces of SWMS, laying a solid foundation for data-driven decision making.

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“…Municipal solid waste (MSW) landfills play a significant role in waste management systems (He et al, 2022 ; Matheson, 2022 ; Vaverková, 2019 , 2023 ). Nevertheless, landfills, even well-designed and secured, can pose potential risks to both the environment and human health, particularly because of the presence of heavy metals (HMs) in the waste stream (Aendo et al, 2022 ; El Fadili et al, 2022 ; Koda et al, 2020a ; Podlasek et al, 2021 ; Siddiqua et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive investigation of geoenvironmental pollution and health effects from municipal solid waste landfills

Podlasek,

Vaverková,

Jakimiuk

et al. 2024

Environ Geochem Health

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This study investigates human health risks associated with heavy metals (HMs) occurrence in municipal solid waste (MSW) landfills. For testing of selected MSW landfills steps were involved, including site characterization, soil sampling and chemical testing, statistical analysis, as well as health risk assessment, carcinogenic and non-carcinogenic effects. For the Polish landfill (Radiowo) the average HMs concentrations were found in the following order: Zn (52.74 mg/kg DM) > Pb (28.32 mg/kg DM) > Cu (12.14 mg/kg DM) > Ni (4.50 mg/kg DM) > Cd (3.49 mg/kg DM), while for the Czech landfill (Zdounky): Zn (32.05 mg/kg DM) > Cu (14.73 mg/kg DM) > Ni (4.73 mg/kg DM) > Pb (0.10 mg/kg DM) = Cd (0.10 mg/kg DM). Strong positive correlations between selected HMs demonstrated identical origins. Principal component analysis (PCA) performed for the Radiowo landfill transferred the soil parameters into three principal components (PCs), accounting for 87.12% of the total variance. The results of the PCA analysis for the Zdounky landfill revealed three PCs responsible for 95.16% of the total variance. The exposure pathways of HMs for landfills were in the following order: ingestion > dermal absorption > inhalation. For both landfills, the values of hazard quotient were lower than 1, indicating no potential negative health effects. In terms of the hazard index (HI), for both landfills, no adverse human health effects occur (HI < 1). The incremental lifetime cancer risk (ILCR) values indicated negligible or acceptable carcinogenic risk of HMs (average ILCR in the range from 5.01E−10 to 5.19E−06).

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Global knowledge base for municipal solid waste management: Framework development and application in waste generation prediction

Cited by 32 publications

References 57 publications

Circular Economy and Green Chemistry: The Need for Radical Innovative Approaches in the Design for New Products

Circular Economy and Green Chemistry: The Need for Radical Innovative Approaches in the Design for New Products

A Novel Domain Knowledge-Informed Machine Learning Approach for Modeling Solid Waste Management Systems

A comprehensive investigation of geoenvironmental pollution and health effects from municipal solid waste landfills

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