The authors looked at renewable energy generators and the ability to utilize green roofs as a solution to climate change.
Read More...Integrating microbial fuel cell with sedum green roof for stormwater retention and renewable energy generation
The authors looked at renewable energy generators and the ability to utilize green roofs as a solution to climate change.
Read More...Analyzing aerosol variation during the COVID-19 pandemic lockdown using satellite data
In this study, the authors use aerosol optical depth data to determine if aerosol levels were lower in major metropolitan areas around the world during the COVID-19 pandemic.
Read More...Pressure and temperature influence the efficacy of metal-organic frameworks for carbon capture and conversion
Metal-organic frameworks (MOFs) are promising new nanomaterials for use in the fight against climate change that can efficiently capture and convert CO2 to other useful carbon products. This research used computational models to determine the reaction conditions under which MOFs can more efficiently capture and convert CO2. In a cost-efficient manner, this analysis tested the hypothesis that pressure and temperature affect the efficacy of carbon capture and conversion, and contribute to understanding the optimal conditions for MOF performance to improve the use of MOFs for controlling greenhouse CO2 emissions.
Read More...A comparative analysis of synthetic and natural fabrics
The authors test the durability of synthetic versus non-synthetic fabrics though loose thread counts, color fade over time, and shrinkage tests.
Read More...Evaluating machine learning algorithms to classify forest tree species through satellite imagery
Here, seeking to identify an optimal method to classify tree species through remote sensing, the authors used a few machine learning algorithms to classify forest tree species through multispectral satellite imagery. They found the Random Forest algorithm to most accurately classify tree species, with the potential to improve model training and inference based on the inclusion of other tree properties.
Read More...Exponential regression analysis of the Canadian Zero Emission Vehicle market’s effects on climate emissions in 2030
Here, the authors explored how the sale and use of electric vehicles could reduce emissions from the transport industry in Canada. By fitting the sale of total of electric vehicles with an exponential model, the authors predicted the number of electric vehicle sales through 2030 and related that to the average emission for such vehicles. Ultimately, they found that the sale and use of electric vehicles alone would likely not meet the 45% reduction in emissions from the transport industry suggested by the Canadian government
Read More...An accessible experiment to assess the impact of shapes of buildings and roofs on wind resistance
In this study, the authors determine which house model is most resistant to high winds by building smaller prototypes that could be tested with a handheld source of wind.
Read More...Thermoelectric cooling in greenhouses: Implications for small-holder production
The authors set to test a system that would help with the dehumidification and overall management of greehouses.
Read More...Managing CO2 levels through precipitation-based capture from seawater and electrochemical conversion
The authors set out to develop an electrochemical device that would have efficient and sustained carbon dioxide capture.
Read More...Effects of polyethylene microplastics on the growth of Arabidopsis thaliana & Phaseolus vulgaris and their soil
In this study, the authors investigate whether microplastics affect terrestrial plant growth and soil quality.
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