Potential for future reductions of global GHG and air pollutants from circular waste management systems

Gómez-Sanabria, Adriana; Kiesewetter, Gregor; Klimont, Zbigniew; Schoepp, W.; Haberl, Helmut

doi:10.1038/s41467-021-27624-7

Cited by 152 publications

(70 citation statements)

References 51 publications

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“…Sustainable circular waste management systems may contribute considerably to alleviating climatic heating by reducing the emission of GHGs [67]. The Integrated SWM approach results in the maximum reduction of GHG emissions compared to the recycling and incineration approaches [68].…”

Section: Ghg Emissionmentioning

confidence: 99%

Solid Waste Management in India: A State-of-the-Art Review

Gour

Singh

2022

Environmental Engineering Research

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This paper presents the current scenario of solid waste management aspects and its challenges in India, which will benefit developing and low-income countries. The leading cause of waste generation is the growing population and the new lifestyle due to the increased per capita income. Consequently, the magnitude of solid waste is continuously growing along with its compositional diversity. In earlier days, the wastes were organic and could be disposed of in low-lying areas conveniently without causing any adverse impact on the environment. But today, the organic fraction of waste has steeply declined while the inorganic portion has increased manifold. Moreover, wastes from industries, hospitals, construction sites, households, and many other sources severely affect the environment and public health. Also, the chemicals generated from the improper disposal of these wastes enter the air, soil, and water resources, causing hazardous and toxic effects in countries that could not implement the adopted policy framework strictly. A state-of-the-art review is conducted in this paper to further search other primary and prevalent reasons behind the inability of proper waste management and to find a real solution.

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Section: Ghg Emissionmentioning

confidence: 99%

Solid Waste Management in India: A State-of-the-Art Review

Gour

Singh

2022

Environmental Engineering Research

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“…Solid waste management (SWM) is considered as one of the most important provisions to tackle the waste problem. Studies have addressed that a welldesigned SWM has multiple positive outcomes including energy and resource saving, economic and health bene ts, as well as GHG reduction [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Measuring Zero-Waste City Performance of a Coal Resource-Based Area in China with MCDM Approach

Zhao

Yang

Duan

2022

Mathematical Problems in Engineering

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The zero-waste city is one of the most visionary initiatives for solving waste problems by enhancing the life cycle solid waste management system. However, the development level of ZW city construction remains unclear. Resource-based areas tend to produce large amounts of industrial solid waste, and achieving a zero-waste city is difficult due to insufficient resource utilization capacity. This study proposed a practical integrated MCDM approach to assess the performance of the ZW city and applied the approach to a typical coal resource-based province in China. The spatiotemporal characteristics and factors influencing the performance of zero-waste cities in each city were further explored. The performance levels increased during the study period; however, the growth rate of most cities is slow. Spatially, the performance levels of zero-waste cities gradually decreased from south to north, showing a radiation pattern with Taiyuan at its core. Challenges toward zero-waste city development were further identified, including heavy industrial structure, widespread underutilization of industrial solid waste, inadequate management of hazardous solid waste, low rate of urban domestic waste classification, and ineffective treatment. The approach gives a holistic and broader picture of the zero-waste management performance, which enables us to identify the challenges in promoting zero-waste cities.

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“…Global municipal solid waste (MSW) generation has grown with the changes in production and consumption patterns as a consequence of urbanization and population growth (Gómez-Sanabria et al, 2022). On current trends, the World Bank projects the global waste generation to double from 2 × 10 9 t in 2016 to 3.4 × 10 9 t in 2030 (Kaza et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Network for Solid Waste Projection and Energy Content Evaluation

Hoy¹,

Woon²,

Chin³

2022

Proceeding of the World Conference on Waste Management

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Forecasts of the heterogeneous municipal solid waste (MSW) generation are vital for sustainable MSW management. Artificial neural network (ANN) models have been successfully demonstrated to predict complex MSW trends, but the negligence of the MSW's heterogeneous characteristics hinders the further application of the predictions. This study aims to adopt robust ANN models coupling Bayesian hyperparameter optimization and uncertainty analysis to forecast the heterogeneous MSW generation in a country with further application in energy content evaluation. The impact of the hyperparameter optimization is illustrated by comparing the forecast uncertainties of ANN models using the Bayesian-optimized hyperparameters and default hyperparameters using ensemble forecasts. The relative standard deviations of the ensemble forecasts show that overfitting is more susceptible in the default models (11.1% -44,400%) than in the Bayesian-optimized models (3.64% -27.7%). By using the Bayesian-optimized models, Malaysia's heterogeneous MSW generation is projected individually based on its physical composition. The total MSW generation in Malaysia is expected to grow by 12% from 2020 to 2030, with food waste as the dominant composition (44%). The energy content of the overall MSW is evaluated based on the lower calorific value of the forecasted MSW. The forecasted increase in food waste generation reduces the lower caloric value of Malaysia's MSW below the lower limit to burn without supporting fuel (i.e., 6.5 MJ/kg). An alternative scenario where food waste is segregated from the overall MSW shows an increase in the lower calorific value from 5.874 MJ/kg to 10.31 MJ/kg. Without food waste segregation, the development of organic waste treatment facilities in Malaysia should be emphasized instead of incinerators. This study not only offers useful information for capacity planning of MSW treatment facilities using a data-driven approach, but it also broadens the scope for future related research by examining the application of the forecasted outcomes using ANN models.

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Potential for future reductions of global GHG and air pollutants from circular waste management systems

Cited by 152 publications

References 51 publications

Solid Waste Management in India: A State-of-the-Art Review

Solid Waste Management in India: A State-of-the-Art Review

Measuring Zero-Waste City Performance of a Coal Resource-Based Area in China with MCDM Approach

Application of Artificial Neural Network for Solid Waste Projection and Energy Content Evaluation

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