THE KIDS CALCULATOR: WHAT’S YOUR FOOTPRINT?

2019 ◽  
Vol 1 (1) ◽  
pp. 80
Author(s):  
Romiza Md Nor ◽  
Haleeda Azwa Abdul Hadi
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Co2 Emission ◽  
Daily Activities ◽  
Web Based ◽  
Carbon Dioxide Co2

There are various ways to reduce the amount of CO2 emission. This paper investigates the effectiveness of using a medium which is an interactive web based carbon footprint calculator for kids called CFCkids. CFCkids is developed to allow children to calculate their carbon footprint based on their daily activities that contribute to the emission of carbon dioxide (CO2) for educational purposes. CFCkids also provides information about climate change and tips to reduce carbon footprint. Evaluation on usability and content had been conducted with children aged ten to twelve years old. From the findings, it has been discovered that CFCkids can increase the knowledge of children about climate change and how they can naturalize the environment from the result of their carbon footprint calculation.  

scholarly journals REDUCING GREENHOUSE GAS EMISSIONS IN RUSSIA: STATE OF THE PROBLEM AND COMPENSATING MEASURES FOR RESTORATION OF FORESTS AS A NET CO2 SENSOR

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Alim Galimullin ◽  
Kamil Bakhteev
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Absorptive Capacity ◽  
Ghg Emissions ◽  
Co2 Sensor ◽  
Combat Climate Change ◽  
Carbon Dioxide Co2 ◽  
Oil Company

The article provides an overview and analysis of the state of the problem of reducing greenhouse gas (GHG) emissions in Russia, considers the measures developed at the level of the country and individual corporations that issue GHG to combat climate change. Particular attention is paid to methods of carbon dioxide (CO2) compensation, including taking into account the absorbing capacity of forests. The experience of the largest Russian oil company "Tatneft" is described in the implementation of a project for the breeding and scaling of triploid aspen with an increased absorptive capacity for planting seedlings in forests in order to reduce and compensate for the carbon footprint.

Modeling of Carbon Dioxide Measurement on Cement Plants

2012 ◽  
Vol 610-613 ◽  
pp. 2120-2128 ◽  
Author(s):  
Jun Xia Peng ◽  
Liang Huang ◽  
Yu Bo Zhao ◽  
Pan Chen ◽  
Lu Zeng ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Co2 Emission ◽  
Firing Process ◽  
Input Output ◽  
Carbon Dioxide Measurement ◽  
Key Steps ◽  
Furnace Slag ◽  
Reducing Co2 Emission

Input-output model on cement plants were established. Carbon dioxide emissions of key steps and carbon footprint of products were calculated and predicted using the input-output model. The results showed that CO2 emission in the plant (the production of the plant is 1320000t a year) reached 910000 t a year and CO2 emission per ton product is 0.689 ton. Over 80% of the total CO2 was emitted during the process of firing，so the firing process is the key step for reducing CO2 emission in the cement plant. Carbon footprint of three kinds of cement products including ordinary portland cement, portland pozzolan cement and portland blast furnace slag cement are 0.76, 0.59, 0.72 respectively.

scholarly journals Carbon Costs of Indonesian Forested Land Conversion to Oil Palm Plantations

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Sri Walyoto
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Oil Palm ◽  
Global Climate ◽  
Secondary Data ◽  
Carbon Price ◽  
Forest Conversion ◽  
Carbon Costs ◽  
Carbon Dioxide Co2 ◽  
Co2 Release

This article analyzes the loss of carbon dioxide (CO2) released in the forest conversion to oil palm plantations. This research data gathered from the relevant secondary data and relate published reports. This research finds that a loss of release of carbon dioxide (CO2) per hectare of US $ 9,800 with a carbon price of USD2 of US $ 14,000 carbon price of USD3 and US $ 19,600 in carbon price of USD4. In addition, this conversion also has a significant impact on global warming (GWP) and global climate change. Keywords: oil palm plantation, CO2 release, GWP, climate change. 

scholarly journals Modeling Climate Change Impacts on Rangeland Productivity and Livestock Population Dynamics in Nkayi District, Zimbabwe

2020 ◽  
Vol 10 (7) ◽  
pp. 2330
Author(s):  
Trinity S. Senda ◽  
Gregory A. Kiker ◽  
Patricia Masikati ◽  
Albert Chirima ◽  
Johan van Niekerk
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Population Dynamics ◽  
C3 Plants ◽  
Climate Scenarios ◽  
Herbaceous Layer ◽  
Livestock Population ◽  
Co2 Effects ◽  
Forested Areas ◽  
Carbon Dioxide Co2

Smallholder farmers in semi-arid areas depend on both cropping and livestock as the main sources of livelihoods. Rangeland productivity varies on both spatial and temporal scales and provides the major source of feed for livestock. Rangeland productivity is expected to decline with climate change thereby reducing livestock feed availability and consequently livelihoods that depend on livestock. This study was carried out to assess the impacts of climate change on rangeland productivity and consequently livestock population dynamics using a 30-year simulation modeling approach. The climate scenarios used in the simulations are built from the localized predictions by General Circulation Models (GCMs). The primary climate variables under consideration are rainfall (+/−7% change), carbon dioxide (CO2 up to 650 ppm) and temperature (+4 °C change). This was done by applying the SAVANNA ecosystem model which simulates rangeland processes and demographic responses of herbivores on a temporal and spatial scale using a weekly internal time step and monthly spatial and temporal outputs. The results show that rainfall levels of less than 600 mm/year have the largest negative effect on herbaceous biomass production. The amount of biomass from the woody layer does not change much during the year. The carbon dioxide (CO2) effects are more influential on the tree and shrub layers (C3 plants) than the herbaceous layer (C4 grasses). The CO2 effect was more dominant than the effects of rainfall and temperature. In the baseline simulations, the shrub plant layer increased significantly over 30 years while there is a three-fold increase in the woody plant layer (trees and shrubs) where biomass increased from a 1980 production to that of 2010. The biomass of the herbaceous layer was stable over the historical period (1980 to 2010) with values fluctuating between 200 and 400 g/m2. Grass green biomass has a variable distribution where most production occurred in the fields and cleared areas while lower levels of production were found in the forested areas. The spatial distribution of shrub green biomass was less directly linked to yearly rainfall. Shrub biomass was mostly found in forested areas, and it showed a steady increase in production. Cattle, donkey, and goat populations rose slowly from 1980 but the rise was disrupted by a dry period during the late 1980s to the early 1990s causing a decline in all populations primarily due to grass unavailability. The populations of cattle goats and donkeys started to rise again from 1995 onwards due to improvements in rainfall. Cattle and donkey populations were rising faster than that of goats while sheep population was not changing much for most of the simulation period, otherwise they declined significantly during the drought of 2002. Similar changes in simulated grass biomass (g/m2) were observed in almost all climate scenarios, except for the peak and low years. The livestock population simulation showed few variations in livestock population under all scenarios. The main conclusion from the study is that CO2 effects on rangeland productivity are much more dominant than the localized effects of rainfall and temperature. This has implications of favoring the growth of the tree and shrub layers over herbaceous layer, which meant that in the long run, the species that are able to use tree and shrub layers may be kept as a livelihood source as they will have a feed source.

scholarly journals Determining the carbon footprint for a new earthen-based finish

2019 ◽  
Vol 15 (1) ◽  
pp. 143-148 ◽  
Author(s):  
Yolanda G Aranda-Jimenez ◽  
Edgardo J Suarez-Dominguez
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Organic Materials ◽  
Architecture Design ◽  
Co2 Absorption ◽  
A Value ◽  
Co2 Equivalent ◽  
Carbon Dioxide Co2

Abstract In the present work the carbon footprint for a material developed in the Faculty of Architecture, Design and Urbanism of the Autonomous University of Tamaulipas (UAT) constituted by argillaceous earth, aloe juice and fiber of ixtle with utility like the inner coating of walls in buildings was determined. The objective of this paper is the calculation of the contribution of carbon dioxide (CO2) by the plant, considering the stoichiometry of CO2 absorption accompanied by the determination at the laboratory level. It was found that the use of organic materials in mortar mixtures, when they are produced manually by the person who will use them, and that is common in cases of self-construction, can generate approximately −0.45 kg of CO2 equivalent for each kilogram of plant produced for the preparation of mixtures. In addition, the equivalent CO2 was calculated for the elaboration of a cubic meter of useful mixture as a wall covering obtaining a value below the equivalent 14 kg of CO2.

scholarly journals Is Carbon Dioxide (CO2) Emission an Important Factor Affecting Healthcare Expenditure? Evidence from China, 2005–2016

2019 ◽  
Vol 16 (20) ◽  
pp. 3995 ◽  
Author(s):  
Chen ◽  
Zhuo ◽  
Xu ◽  
Xu ◽  
Gao
Keyword(s):  
Carbon Dioxide ◽  
Air Pollution ◽  
Quantile Regression ◽  
Co2 Emission ◽  
Healthcare Expenditure ◽  
Carbon Dioxide Emission ◽  
Ordinary Least Squares ◽  
Bayesian Quantile Regression ◽  
Carbon Dioxide Co2 ◽  
The Relationship

As a result of China’s economic growth, air pollution, including carbon dioxide (CO2) emission, has caused serious health problems and accompanying heavy economic burdens on healthcare. Therefore, the effect of carbon dioxide emission on healthcare expenditure (HCE) has attracted the interest of many researchers, most of which have adopted traditional empirical methods, such as ordinary least squares (OLS) or quantile regression (QR), to analyze the issue. This paper, however, attempts to introduce Bayesian quantile regression (BQR) to discuss the relationship between carbon dioxide emission and HCE, based on the longitudinal data of 30 provinces in China (2005–2016). It was found that carbon dioxide emission is, indeed, an important factor affecting healthcare expenditure in China, although its influence is not as great as the income variable. It was also revealed that the effect of carbon dioxide emission on HCE at a higher quantile was much smaller, which indicates that most people are not paying sufficient attention to the correlation between air pollution and healthcare. This study also proves the applicability of Bayesian quantile regression and its ability to offer more valuable information, as compared to traditional empirical tools, thus expanding and deepening research capabilities on the topic.

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