Grant: Alliance Grants
University of Regina
$50,000.00
Computational modeling and simulation of municipal waste generation and risk assessment during COVID-19_x000d_
FY 2020-21
Summary
A deviation in the production of municipal solid waste has been observed in the City of Regina since the beginning of the COVID-19 pandemic began, and during the time control measures were put into place by the City and the Government of Saskatchewan. The change in waste generation rates could begin to impact the daily operation of the City's municipal waste collection and disposal service, as well as the safety of the solid waste collections and operations staff. Proper waste collection and disposal is vital to health and safety of the residents at any time, let alone during the COVID-19 pandemic.
Our municipal partner states that the elevated waste quantities has slowly begun to impact the revenue stream in the past few weeks. The goals of the project are to (i) conduct temporal analysis of municipal waste generation before and during the outbreak, and (ii) develop various scenarios and generate different forecast models for waste generation during and after the outbreak. Accurate waste data forecast helps the city to better manage its budgetary resources and plans their collection and disposal services accordingly. The proposed models will also be used to estimate the demand of the sanitation workers' personal protective wears. It is believed that the said simulation models will be useful to other cities and towns of similar socio-economic conditions as Regina. No tool is currently available to forecast waste generation during and after a pandemic, and we would like to work with City of Regina team to fill the gap in literature. The proposed models will be of great benefit to the City in maintaining its leadership in sustainable waste management and evidence-based waste policy. It is also of interest to the City to assist in the growth of this market segment, both within Canada and abroad.
Program
Alliance Grants
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
551383-2020
Name nom
Ng, Kelvin Tsun Wai
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
902
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Waste, waste management and recycling
Area of application fr
Déchets, gestion des déchets et recyclage
Research subject code
1504
Research subject group en
Environmental engineering
Research subject group fr
Génie de l'environnement
Research subject en
Solid waste management (including radioactivity)
Research subject fr
Gestion des déchets dangereux (y compris radioactivité)
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Computational modeling and simulation of municipal waste generation and risk assessment during COVID-19_x000d_
Keyword
NSERC
Application summary
A deviation in the production of municipal solid waste has been observed in the City of Regina since the beginning of the COVID-19 pandemic began, and during the time control measures were put into place by the City and the Government of Saskatchewan. The change in waste generation rates could begin to impact the daily operation of the City's municipal waste collection and disposal service, as well as the safety of the solid waste collections and operations staff. Proper waste collection and disposal is vital to health and safety of the residents at any time, let alone during the COVID-19 pandemic.
Our municipal partner states that the elevated waste quantities has slowly begun to impact the revenue stream in the past few weeks. The goals of the project are to (i) conduct temporal analysis of municipal waste generation before and during the outbreak, and (ii) develop various scenarios and generate different forecast models for waste generation during and after the outbreak. Accurate waste data forecast helps the city to better manage its budgetary resources and plans their collection and disposal services accordingly. The proposed models will also be used to estimate the demand of the sanitation workers' personal protective wears. It is believed that the said simulation models will be useful to other cities and towns of similar socio-economic conditions as Regina. No tool is currently available to forecast waste generation during and after a pandemic, and we would like to work with City of Regina team to fill the gap in literature. The proposed models will be of great benefit to the City in maintaining its leadership in sustainable waste management and evidence-based waste policy. It is also of interest to the City to assist in the growth of this market segment, both within Canada and abroad.