IPCC Fuel Combustion Emissions (2006 Guidelines)

2012 ◽  
Author(s):  
Keyword(s):  
Fuel Combustion ◽  
Combustion Emissions

scholarly journals The pyrohealth transition: how combustion emissions have shaped health through human history

2016 ◽  
Vol 371 (1696) ◽  
pp. 20150173 ◽  
Author(s):  
Fay H. Johnston ◽  
Shannon Melody ◽  
David M. J. S. Bowman
Keyword(s):  
Air Pollution ◽  
Human Health ◽  
Tobacco Smoking ◽  
Burden Of Disease ◽  
Fossil Fuel ◽  
Fuel Combustion ◽  
Global Burden ◽  
Fossil Fuel Combustion ◽  
The Earth ◽  
Combustion Emissions

Air pollution from landscape fires, domestic fires and fossil fuel combustion is recognized as the single most important global environmental risk factor for human mortality and is associated with a global burden of disease almost as large as that of tobacco smoking. The shift from a reliance on biomass to fossil fuels for powering economies, broadly described as the pyric transition, frames key patterns in human fire usage and landscape fire activity. These have produced distinct patters of human exposure to air pollution associated with the Agricultural and Industrial Revolutions and post-industrial the Earth global system-wide changes increasingly known as the Anthropocene. Changes in patterns of human fertility, mortality and morbidity associated with economic development have been previously described in terms of demographic, epidemiological and nutrition transitions, yet these frameworks have not explicitly considered the direct consequences of combustion emissions for human health. To address this gap, we propose a pyrohealth transition and use data from the Global Burden of Disease (GBD) collaboration to compare direct mortality impacts of emissions from landscape fires, domestic fires, fossil fuel combustion and the global epidemic of tobacco smoking. Improving human health and reducing the environmental impacts on the Earth system will require a considerable reduction in biomass and fossil fuel combustion. This article is part of the themed issue ‘The interaction of fire and mankind’.

scholarly journals Feature Selection and Uncertainty Analysis for Bubbling Fluidized Bed Oxy-Fuel Combustion Data

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1757
Author(s):  
Katerina Marzova ◽  
Ivo Bukovsky
Keyword(s):  
Feature Selection ◽  
Fluidized Bed ◽  
Sampling Period ◽  
Fuel Combustion ◽  
Selection Algorithm ◽  
Data Set ◽  
Feature Vectors ◽  
Combustion Emissions ◽  
Bubbling Fluidized Bed ◽  
Validation Technique

This paper presents a novel feature extraction and validation technique for data-driven prediction of oxy-fuel combustion emissions in a bubbling fluidized bed experimental facility. The experimental data were analyzed and preprocessed to minimize the size of the data set while preserving patterns and variance and to find an optimal configuration of the feature vector. The Boruta Feature Selection Algorithm (BFSA) finds feature vector’s configuration and the Multiscale False Neighbours Analysis (MSFNA) is newly extended and proposed to validate the BFSA’s design for emission prediction to assure minimal uncertainty in mapping between feature vectors and corresponding outputs. The finding is that the standalone BFSA does not reflect various sampling period setups that appeared significantly influencing the false neighborhood in the design of feature vectors for possible emission prediction, and MSFNA resolves that.

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