Integrating forest fuels and land cover data for improved estimation of fuel consumption and carbon emissions from boreal fires

2015 ◽  
Vol 24 (5) ◽  
pp. 665 ◽  
Author(s):  
Kerry Anderson ◽  
Brian Simpson ◽  
Ronald J. Hall ◽  
Peter Englefield ◽  
Michael Gartrell ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Spatial Data ◽  
Carbon Emission ◽  
Wildland Fire ◽  
Weather Conditions ◽  
Total Carbon ◽  
Western Canada ◽  
Emission Rates ◽  
Forest Fuels ◽  
Spatial Approach

Estimating carbon emissions from wildland fires is complicated by the large variation in both forest fuels and burning conditions across Canada’s boreal forest. The potential for using spatial fuel maps to improve wildland fire carbon emission estimates in Canada’s National Forest Carbon Monitoring, Accounting and Reporting System (NFCMARS) was evaluated for select wildfires (representing a transect across western Canada) occurring in 2003 and 2004 at four study areas in western Canada. Area-normalised emission rates and total emissions differed by fuels data source, mainly as a function of the treatment of open fuels in the higher resolution spatial fuel models. The use of spatial data to refine the selection of stand types that probably burned and the use of fire weather conditions specific to the fire increased the precision of total carbon emission estimates, relative to computational procedures used by Canada’s NFCMARS. Estimates of total emissions from the NFCMARS were consistent with the regional and national data sources following the spatial approach, suggesting the two approaches had equivalent accuracies. Though it cannot be said with certainty that the inclusion of this detailed information improved accuracy, the spatial approach offers the promise or potential for more accurate results, pending more consistent fuel maps, especially at finer scales.

scholarly journals Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1810
Author(s):  
Kaitong Xu ◽  
Haibo Kang ◽  
Wei Wang ◽  
Ping Jiang ◽  
Na Li
Keyword(s):  
Life Cycle ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Composite Beams ◽  
Total Carbon ◽  
Construction Process ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

scholarly journals Spatial cluster and Heterogeneity Research on Energy-Related Carbon Emissions in Districts and Counties of Guangdong Province

2019 ◽  
Vol 79 ◽  
pp. 03019
Author(s):  
Wenxiu Wang ◽  
Shangjun Ke ◽  
Daiqing Zhao ◽  
Guotian Cai
Keyword(s):  
Spatial Autocorrelation ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Guangdong Province ◽  
Total Carbon ◽  
Low Carbon ◽  
Cluster Area ◽  
Reduce Emissions ◽  
Global Spatial Autocorrelation ◽  
High Cluster

Energy-related carbon emissions in districts and counties of Guangdong province from 2005 to 2016 are researched based on spatial econometrics method in this article, and significance cluster area and heterogeneity area are precise pinpointed. Conclusions are as follows: (1) total carbon emissions and per capita carbon emissions exist significance global spatial autocorrelation in the year 2005-2016, and formed significance high-high cluster area in districts and counties of Guangzhou city, Shenzhen city and Dongguan city. It also formed three significance low-low cluster areas in districts and counties of eastern, western and northern of Guangdong province. Low-high heterogeneity area and high -low heterogeneity area often appears in the scope of high-high cluster area and low-low cluster area. (2)Carbon emission intensity not exist significance global spatial autocorrelation, but exist significance cluster area and heterogeneity area in the ecological development areas of eastern, western and northern of Guangdong province. In the end, the paper puts forward the regional and detailed policy recommendations for efficient carbon emission reduction for each cluster type region: carbon high-high cluster areas are priority reduce emissions area, heighten energy saving technology and optimize industrial structure are two grippers to reduce emissions. Low - low carbon emissions concentrated area in western of Guangdong should primarily develop high and new technology industry. Low low carbon emissions concentrated areas and high - high carbon emissions intensity concentrated area for eastern and northern of Guangdong province should try hard to wins ecological compensation at the same time focus on developing ecological tourism.

scholarly journals Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 59
Author(s):  
Dwi Iryaning Handayani ◽  
Ilyas Masudin ◽  
Ahmad Rusdiansyah ◽  
Judi Suharsono
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Total Carbon ◽  
Mixed Integer ◽  
Distribution Model ◽  
Total Production ◽  
Fish Food ◽  
Canned Fish ◽  
Production Distribution ◽  
Production And Distribution

Background: Traceability systems and carbon emissions are two important factors involved in production and distribution activities. The involvement of these two factors in production and distribution activities along the supply chain will ensure the safety and quality of food through the manufacture, packaging and distribution of products with minimal costs and in an environmentally friendly way. Objective: This study aimed to develop a model of canned fish food production and distribution integration by considering traceability and carbon emissions to minimize total costs. Method: A mixed-integer linear programming (MILP) approach was used to develop mathematical models and the optimal solution of the model created was obtained using an open-source spreadsheet solver program. Results: The results show that the proposed models produce the minimum total production and distribution cost with high traceability and low carbon emissions. Conclusions: The sensitivity analysis from this study shows that there is a significant relationship between production, carbon emissions, and the total cost of production-distribution. Moreover, it was concluded that the production level, carbon emission level, and emission threshold can have a significant influence in the generation of the total carbon emissions.

scholarly journals Analysis on carbon footprint: A case study of Gorkhapatra national daily in Nepal

2021 ◽  
Vol 4 (1) ◽  
pp. 42-49
Author(s):  
Anukram Sharma ◽  
Khem N Poudyal ◽  
Nawraj Bhattarai
Keyword(s):  
Fuel Consumption ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Raw Materials ◽  
Global Climate ◽  
Total Carbon ◽  
Daily Newspaper ◽  
The Cost

Study of carbon footprint is an emerging field which provides statistical analysis about the contribution of an activity on global climate change. Every human activity in daily life is achieved at the expense of those substances which directly or indirectly contribute to global warming. In this era of global communication, humans are habitual to know about the ongoing changes in the world. Newspapers are one of the reliable sources for getting updated about the global information. Paper-based newspapers come at the cost of greenhouse gas emissions. So, this article based upon an analysis of carbon footprint of Nepal’s national daily newspaper provides evaluation of each of the following: carbon emission during the manufacturing of raw materials, carbon emission from fuel consumption during transportation of raw materials, carbon emissions during the printing of newspaper and carbon emission from the fuel consumption during the transportation of printed newspaper. During the study period of 2019 A.D., the result shows that the total carbon emission of Gorkhapatra newspaper was found to be 2308.5 kg CO2e per ton. The upshot of this study provides not only thorough information about carbon emissions but also builds a foundation for calculation of carbon emissions from paper used in various sectors.

scholarly journals Corruption Control, Renewable-led Energy Transition and Carbon Emissions: Empirical Evidence from Panel Data of Multi-countries

2021 ◽  
Author(s):  
Yongpei Wang ◽  
Jieru Yang
Keyword(s):  
Renewable Energy ◽  
Panel Data ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Energy Transition ◽  
Total Carbon ◽  
Regression Equations ◽  
Conduction Path ◽  
Oriented Energy

Abstract This paper focuses on the carbon emission reduction effect of anti-corruption mediated by renewable-led energy transition based on the panel data of 98 countries from 1996 to 2015. Since the mediation model is estimated by estimating a series of multiple regression equations, the total, direct and indirect effects can be separated out to clarify the conduction path between corruption control, renewable energy and carbon emissions. Owing to confirmation of the Sobel-Goodman mediation tests, renewable energy acts as a significant mediator through which corruption control contributes to emission reduction, regardless of the indicator is total carbon emissions, carbon emissions per capita or carbon emission intensity. For policymakers and regulators, there needs to be more emphasis on eliminating corruption in the increased penetration of renewable energy and not being seduced by traditional lobbyists. Particularly for developing countries, the effective way to reduce emissions is to remove institutional barriers in priority areas including the energy and resources sectors to cleaner-oriented energy transition.

Forest floor fuel consumption and carbon emissions in Canadian boreal forest fires

2009 ◽  
Vol 39 (2) ◽  
pp. 367-382 ◽  
Author(s):  
W.J. de Groot ◽  
J.M. Pritchard ◽  
T.J. Lynham
Keyword(s):  
Fuel Consumption ◽  
Carbon Emissions ◽  
Forest Fires ◽  
Forest Floor ◽  
Wildland Fire ◽  
Total Carbon ◽  
Fuel Load ◽  
Fire Weather Index ◽  
Experimental Burn ◽  
Canadian Boreal Forest

In many forest types, over half of the total stand biomass is located in the forest floor. Carbon emissions during wildland fire are directly related to biomass (fuel) consumption. Consumption of forest floor fuel varies widely and is the greatest source of uncertainty in estimating total carbon emissions during fire. We used experimental burn data (59 burns, four fuel types) and wildfire data (69 plots, four fuel types) to develop a model of forest floor fuel consumption and carbon emissions in nonpeatland standing-timber fuel types. The experimental burn and wildfire data sets were analyzed separately and combined by regression to provide fuel consumption models. Model variables differed among fuel types, but preburn fuel load, duff depth, bulk density, and Canadian Forest Fire Weather Index System components at the time of burning were common significant variables. The regression R2 values ranged from 0.206 to 0.980 (P < 0.001). The log–log model for all data combined explained 79.5% of the regression variation and is now being used to estimate annual carbon emissions from wildland fire. Forest floor carbon content at the wildfires ranged from 40.9% to 53.9%, and the carbon emission rate ranged from 0.29 to 2.43 kg·m–2.

Study on Dynamic Change of Carbon Emission in Zhengzhou

2013 ◽  
Vol 291-294 ◽  
pp. 1353-1358
Author(s):  
Ya Li Li ◽  
Yao Chen Qin
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Production ◽  
Carbon Emission ◽  
Fossil Fuel ◽  
Dynamic Change ◽  
Total Carbon ◽  
Emission Model ◽  
Fossil Energy ◽  
The Impact

In order to explore the impact of the fossil energy consumption,industrial production and population on regional carbon cycle , this paper estimated the dynamic changes of carbon emissions from 2000 to 2009 in Zhengzhou based on the quantitative emission model proposed by IPCC and ORNL. The results show that the total carbon emissions in Zhengzhou was 48944.2 ×104t during 2000~ 2009, among which 83.3% came from fossil fuel combustion,7.7% from industrial production process and 9% came from population. The carbon emissions of fossil energy consumption and industrial production increases gradually.The carbon emission of coal was the highest among all kinds of fossil fuels,occupying 97.1% of the total emission of fossil fuel consumption. The carbon emissions increase progressively and surpass the national average level from 2000 to 2009 in China. And the carbon emissions for 100 million yuan GDP is increasing.Finally, some measures are proposed for the carbon emission reduction in Zhengzhou

scholarly journals Carbon Emissions in the Xinjiang Production and Construction Corps and Driving Factors

2021 ◽  
Vol 9 ◽  
Author(s):  
Meng Wang ◽  
Lei Feng ◽  
Pengfei Zhang ◽  
Gaohang Cao ◽  
Hanbin Liu ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Emission Inventory ◽  
Driving Factors ◽  
Hot Water ◽  
Total Carbon ◽  
Energy Structure ◽  
Petroleum Processing ◽  
Carbon Emission Reduction

Xinjiang production and Construction Corps (XPCC) is an important provincial administration in China and vigorously promotes the construction of industrialization. However, there has been little research on its emissions. This study first established the 1998-2018 XPCC subsectoral carbon emission inventory based on the Intergovernmental Panel on Climate Change (IPCC) carbon emission inventory method and adopted the logarithmic mean Divisia indexmethod (LMDI) model to analyze the driving factors. The results revealed that from 1998 to 2018, the total carbon emissions in the XPCC increased from 6.11 Mt CO2 in 1998 to 115.71 Mt CO2 in 2018. For the energy structure, raw coal, coke and industrial processes were the main contributors to carbon emissions. For industrial structure, the main emission sectors were the production and supply of electric power, steam and hot water, petroleum processing and coking, raw chemical materials and chemical products, and smelting and pressing of nonferrous metals. In addition, the economic effect was the leading factor promoting the growth of the corps carbon emissions, followed by technical and population effects. The energy structure effect was the only factor yielding a low emission reduction degree. This research provides policy recommendations for the XPCC to formulate effective carbon emission reduction measures, which is conducive to the construction of a low-carbon society. Moreover, it is of guiding significance for the development of carbon emission reduction actions for the enterprises under the corps and provides a reference value for other provincial regions.

scholarly journals Analysis of carbon emission hot spot and pumping energy efficiency in water supply system

2018 ◽  
Vol 19 (1) ◽  
pp. 200-206
Author(s):  
Jr-Lin Lin ◽  
Shyh-Fang Kang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Water Supply ◽  
Specific Energy ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Hot Spot ◽  
Specific Energy Consumption ◽  
Total Carbon ◽  
Pumping Efficiency

Abstract Evaluation of carbon emission hot spots for water treatment plants (WTPs) is crucial to reduce carbon emissions. This study aims to analyze carbon emission data generated at Bansin WTP following the PAS 2050 guidelines. The boundary of inventory and assessment includes water intake, purification, and distribution stages. In addition, pumping efficiency, power consumption per pump lift and specific energy consumption were used to estimate the potential of energy reduction in pumping for Bansin and Baoshan WTPs. The results have revealed that the carbon footprint of Bansin WTP is 0.39 kg CO2e/m3 in 2011. There is 95% of carbon emissions generated by pumping from the intake and distribution stages, and the use of pumping is responsible for 65% of total carbon emissions in the clarification stage. The power consumption per pump lift can be calculated to evaluate the difference between rated power and operational power. This relationship can provide information indicating to operators when to replace or maintain poorly-functioning pumps. The data on pump lift, flow rate and power can also be calculated to determine the relationship between pumping efficiency (%) and specific energy consumption (kW/Q), and then used to identify the optimum condition of pump combinations for a given production of water supply.

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