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An analytical framework to decode socioeconomic interplays in pesticides and fertilizer container collection patterns using land dynamics metrics

Author(s): Chowdhury R; Karimi N; Xu X; An C; Gitifar A; Ng KTW;

This study analyzes pesticide and fertilizer container collection trends across Canadian agricultural regions over a seven-year period from 2016 to 2022 through an analytical framework and proposed two land metrics. A 28.3 % decrease in the collection of small empty pesticide and fertilizer containers (EPFCs) coincides with a 41.4 % increase in the collec ...

Article GUID: 40795518


The degradation of polylactic acid face mask components in different environments

Author(s): Lyu L; Bagchi M; Ng KTW; Markoglou N; Chowdhury R; An C; Chen Z; Yang X;

The disposal of fossil fuel-based plastics poses a huge environmental challenge, leading to increased interest in biodegradable alternatives such as polylactic acid (PLA). This study focuses on the environmental impact and degradation of PLA face mask components under various conditions (UV (Ultraviolet) radiation, DI water, landfill leachate of various a ...

Article GUID: 39378804


A cross-jurisdictional comparison on residential waste collection rates during earlier waves of COVID-19

Author(s): Mahmud TS; Ng KTW; Hasan MM; An C; Wan S;

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 (RWCR) across four North American jurisdictions before and during the pandemic. Unlike waste disposal rates, RWCR is relatively less sensitive to the changes in COVID-19 regulator ...

Article GUID: 37274541


Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation

Author(s): Vu HL; Ng KTW; Richter A; An C;

The use of machine learning techniques in waste management studies is increasingly popular. Recent literature suggests k-fold cross validation may reduce input dataset partition uncertainties and minimize overfitting issues. The objectives are to quantify the benefits of k-fold cross validation for municipal waste disposal prediction and to identify the r ...

Article GUID: 35287077


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