Kelvin Tsun Wai Ng
Biographic Data
| ID | 9438712 |
|---|---|
| NAME | Kelvin Tsun Wai Ng |
| GIVEN NAMES | Kelvin Tsun Wai |
| FAMILY NAME | Ng |
| SIGNATURE | NG K T W |
| AFFILIATIONS | University of Regina |
| ORCID | 0000-0002-2045-9367 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Insights into the urban municipal solid waste generation during the Covid-19 pandemic from machine learning analysis
Temporal analysis of settlement areas and city footprints on construction and demolition waste quantification using Landsat satellite imagery
Municipal solid waste management has seen a surge in the use of satellite imagery in decision-making processes, yet its application to analyze quantitative variations in construction and demolition (C&D) waste remains under-investigated. This study employs satellite imagery and multivariate analysis to comprehensively assess and predict C&D waste generation in four diverse urban jurisdictions of Canada (Regina) and the USA (Seattle, Buffalo, and …
A cross-jurisdictional comparison on residential waste collection rates during earlier waves of Covid-19
The use of Google community mobility reports to model residential waste generation behaviors during and after the Covid-19 lockdown
Exploring the use of astronomical seasons in municipal solid waste disposal rates modeling
Evolution of Covid-19 municipal solid waste disposal behaviors using epidemiology-based periods defined by World Health Organization guidelines
Development of a regional solid waste management framework and its application to a prairie province in central Canada
Spatial analysis of designated outdoor smoking areas
Smoking is the leading cause of premature death in Canada. Smoking also pollutes air and generates litter such as cigarette butts. The use of designated smoking areas (DSAs) is increasingly popular on university campuses and has the potential to influence smoking prevalence. It is however found that the related regulations and policies are largely unknown. This study systematically examines the spatial distribution of DSAs at 12 Canadian campuses…
An iterative tessellation-based analytical approach to the design and planning of waste management regions
The use of a recurrent neural network model with separated time-series and lagged daily inputs for waste disposal rates modeling during Covid-19
Developing a novel proximity analysis approach for assessment of waste management cost efficiency in low population density regions
Prediction of fugitive landfill gas hotspots using a random forest algorithm and Sentinel-2 data
Effects of percent operating expenditure on Canadian non-hazardous waste diversion
Comparison between Canadian and Nova Scotian waste management and diversion models—A Canadian case study
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Comparison between Canadian and Nova Scotian waste management and diversion models—A Canadian case study
Effects of percent operating expenditure on Canadian non-hazardous waste diversion
Spatial analysis of designated outdoor smoking areas
Smoking is the leading cause of premature death in Canada. Smoking also pollutes air and generates litter such as cigarette butts. The use of designated smoking areas (DSAs) is increasingly popular on university campuses and has the potential to influence smoking prevalence. It is however found that the related regulations and policies are largely unknown. This study systematically examines the spatial distribution of DSAs at 12 Canadian campuses…
An iterative tessellation-based analytical approach to the design and planning of waste management regions
The use of a recurrent neural network model with separated time-series and lagged daily inputs for waste disposal rates modeling during Covid-19
Developing a novel proximity analysis approach for assessment of waste management cost efficiency in low population density regions
Prediction of fugitive landfill gas hotspots using a random forest algorithm and Sentinel-2 data
Exploring the use of astronomical seasons in municipal solid waste disposal rates modeling
Evolution of Covid-19 municipal solid waste disposal behaviors using epidemiology-based periods defined by World Health Organization guidelines
Development of a regional solid waste management framework and its application to a prairie province in central Canada
A cross-jurisdictional comparison on residential waste collection rates during earlier waves of Covid-19
The use of Google community mobility reports to model residential waste generation behaviors during and after the Covid-19 lockdown
Insights into the urban municipal solid waste generation during the Covid-19 pandemic from machine learning analysis
Temporal analysis of settlement areas and city footprints on construction and demolition waste quantification using Landsat satellite imagery
Municipal solid waste management has seen a surge in the use of satellite imagery in decision-making processes, yet its application to analyze quantitative variations in construction and demolition (C&D) waste remains under-investigated. This study employs satellite imagery and multivariate analysis to comprehensively assess and predict C&D waste generation in four diverse urban jurisdictions of Canada (Regina) and the USA (Seattle, Buffalo, and …
Municipal Solid Waste Management (12 works) · Environmental Science (11 works) · Geography (11 works) · Healthcare and Environmental Waste Management (9 works) · Computer Science (8 works) · Engineering (8 works) · Mathematics (8 works) · Statistics (8 works) · Waste management (7 works) · COVID-19 impact on air quality (5 works)