Assessing Global Waste Management: Alternatives to Landfilling in Different Waste Streams—A Scoping Review
N Karimi - Sustainability, 2023 - mdpi.com
This scoping review examines global strategies and enterprises for sustainable solid waste
management, with a focus on alternative landfilling approaches. The study collected and …
management, with a focus on alternative landfilling approaches. The study collected and …
The use of Google community mobility reports to model residential waste generation behaviors during and after the COVID-19 lockdown
This paper proposed an original analytical approach to quantify waste generation and
recycling behaviors in Regina, a Canadian capital city, using Google's Community Mobility …
recycling behaviors in Regina, a Canadian capital city, using Google's Community Mobility …
Comprehensive evaluation of municipal solid waste power generation and carbon emission potential in Tianjin based on Grey Relation Analysis and Long Short Term …
B Liu, Z Han, J Li, B Yan - Process Safety and Environmental Protection, 2022 - Elsevier
With the rapid development of China's economy, the contradiction of the mismatch between
municipal solid waste disposal capacity and its growth has become increasingly prominent …
municipal solid waste disposal capacity and its growth has become increasingly prominent …
Evolution of COVID-19 municipal solid waste disposal behaviors using epidemiology-based periods defined by World Health Organization guidelines
This study aims to identify the effects of continued COVID-19 transmission on waste
management trends in a Canadian capital city, using pandemic periods defined from …
management trends in a Canadian capital city, using pandemic periods defined from …
A cross-jurisdictional comparison on residential waste collection rates during earlier waves of COVID-19
There is currently a lack of studies on residential waste collection during COVID-19 in North
America. SARIMA models were developed to predict residential waste collection rates …
America. SARIMA models were developed to predict residential waste collection rates …
Impacts of nested forward validation techniques on machine learning and regression waste disposal time series models
Dataset partitioning and validation techniques are required in all artificial neural network
based waste models. However, there is currently no consensual approach on the validation …
based waste models. However, there is currently no consensual approach on the validation …
Insights into the urban municipal solid waste generation during the COVID-19 pandemic from machine learning analysis
Municipal solid waste (MSW) management has become an important issue for cities around
the world. Waste generation prediction plays an important role in MSW management. It can …
the world. Waste generation prediction plays an important role in MSW management. It can …
Modeling of municipal waste disposal behaviors related to meteorological seasons using Recurrent Neural Network LSTM models
The literature suggests that long short-term memory (LSTM) paired with recurrent neural
network (RNN) can better express long-and short-term reliance of a data set. The study …
network (RNN) can better express long-and short-term reliance of a data set. The study …
Endogeneity and other problems in curvilinear income-waste response function estimations
N Schneider - Stochastic Environmental Research and Risk …, 2024 - Springer
Socio-ecological theories have long been in search of general principles to characterise
anthropogenic activity-environmental change dynamics. Besides allowing for more flexible …
anthropogenic activity-environmental change dynamics. Besides allowing for more flexible …
[HTML][HTML] Quantification of construction and demolition waste disposal behaviors during COVID-19 using satellite imagery
The COVID-19 pandemic disrupted conventional municipal solid waste (MSW) management
practices and affected waste generation rates. While MSW streams have been extensively …
practices and affected waste generation rates. While MSW streams have been extensively …