scholarly journals Carbon Footprint Analysis of Napier Pakchong 1 Grass Plantation in Prachinburi Province

2020 ◽  
Vol 141 ◽  
pp. 01001
Author(s):  
Thanutyot Somjai ◽  
Chalita Suwan
Keyword(s):  
Environmental Impact ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Greenhouse Gas Emission ◽  
Irrigation System ◽  
Fertilizer Application ◽  
Unit Weight ◽  
Gas Emission ◽  
Footprint Analysis ◽  
Optimal Quantity

This study aimed to analyze the holistic amount of greenhouse gas emission of Napier Pakchong 1 grass plantation in Prachinburi Province, Thailand, in a term of carbon footprint. The carbon footprint of Napier plantation from irrigation plot and non-irrigation plot was 17.182 and 19.138 kg CO2e/ton of Napier Pakchong 1 grass, respectively. The largest contribution to the greenhouse gas emission came from the fertilizer application. The irrigation to the crop significantly increased the crop yield resulting in the reduction of greenhouse gas emission per unit weight of the crop. The suitable type and the optimal quantity of fertilizer application, as well as the most efficient irrigation system with the least environmental impact, were suggested for further study.

Pattern of greenhouse gas emission from a Prairie Pothole agricultural landscape in Manitoba, Canada

2010 ◽  
Vol 90 (2) ◽  
pp. 243-256 ◽  
Author(s):  
A S Dunmola ◽  
M. Tenuta ◽  
A P Moulin ◽  
P. Yapa ◽  
D A Lobb
Keyword(s):  
Soil Moisture ◽  
Greenhouse Gas ◽  
Agricultural Landscape ◽  
Greenhouse Gas Emission ◽  
Prairie Pothole Region ◽  
Fertilizer Application ◽  
Prairie Pothole ◽  
Riparian Areas ◽  
Gas Emission ◽  
Landscape Elements

To obtain accurate N2O and CH4 emission estimates from the Prairie Pothole Region of North America, knowledge of landscape pattern and soil factors is important. A field study was conducted investigating the temporal and spatial variation in N2O and CH4 emissions from spring to fall 2005 and spring-thaw to post-fertilizer application period 2006 using static-vented chambers located at upper, middle and lower landscape elements planted to spring wheat in 2005 and flax in 2006 and riparian areas in an undulating terrain in southern Manitoba. N2O was emitted during spring-thaw and post-fertilizer application periods for cropped positions and CH4 was emitted about 7 wk after soil thaw for lower and riparian elements. While there was no statististical difference in N2O emission from upper, middle and lower landscape elements, there was greater occurrence of N2O emission hotspots at the lower element, associated with its comparatively higher soil moisture and carbon availability. A location of intense CH4 emission in a riparian area had considerably less soil sulfate compared with other riparian locations. We conclude that hotspots for N2O and CH4 emission within the landscape are localized and driven by high soil moisture and C availability, and riparian areas should be identified separately from cropped areas, as their N2O and CH4 emissions are lower and higher, respectively. Riparian areas having high sulfate concentrations do not seem to emit appreciable amounts of CH4.Key words: Greenhouse gas emission, landscape element, landscape variability, methane, nitrous oxide, Prairie Pothole Region, sulfate

The Calculation of Product Carbon Footprint and Optimization Design

2013 ◽  
Vol 333-335 ◽  
pp. 2156-2159
Author(s):  
Hai Shu Ma ◽  
Chuan Hong Zhou ◽  
Ke Sheng Wang ◽  
Jin Jie Xiao
Keyword(s):  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Emission Reduction ◽  
Optimization Design ◽  
Carbon Emission ◽  
Greenhouse Gas Emission ◽  
Hot Spot ◽  
Recursive Call ◽  
Gas Emission ◽  
Manufacturing Stage

With more and more governments and organizations taking Carbon Footprint as the measure of greenhouse gas emission, the study about the calculation of carbon footprint has become a hot spot. The paper analyzed the carbon footprint in different stages of a product life circle, including manufacturing, transporting, using and disposing and also studied the part contributing the largest carbon emission. Especially in the calculation of carbon emission of manufacturing stage, recursive call algorithm was applied. The optimization design model of carbon footprint was also depicted. All the work this paper had undertaken facilitates to formulate specific carbon emission reduction measures.

scholarly journals The Carbon Footprint of a Public Sector University Before and During the COVID-19 Lockdown.

2022 ◽  
Keyword(s):  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Greenhouse Gas Emission ◽  
Waste Generation ◽  
Gas Emission ◽  
Direct Sampling ◽  
Questionnaire Surveys ◽  
One Year ◽  
Different Sources ◽  
Carbon Dioxide Equivalent

<p>Carbon footprint (CF) is a measure of greenhouse gas emissions generated from daily human-induced activities as carbon dioxide equivalent. This study is an attempt to represent a consumption-based CF study from the scope of transportation, electricity, and waste generation for University of the Punjab (PU), Lahore under the WRI/WBCSD greenhouse gas protocol corporate standards. Data acquired through fieldwork, questionnaire surveys, direct sampling, and existing records for the year 2019-20 suggested that electricity is the greatest contributor of CO2 emissions at 59%, followed by transportation at 36%, and waste generation at approximately 5%. The total CF(CO2_eq) generated from different sources is about 18360.62MT for one year. The recent COVID-19 lockdown has offered inimitable prospect to compare the carbon footprint of one of the largest higher education institutes of Pakistan before and during this pandemic. The data can serve for tracking, assessing, and setting goals for greenhouse gas emission reduction programs in future.</p>

Sustainability assessment and optimization of legumes production systems: energy, greenhouse gas emission and ecological footprint analysis

2021 ◽  
pp. 1-11
Author(s):  
Nahid Aghili Nategh ◽  
Narges Banaeian ◽  
Alireza Gholamshahi ◽  
Mohammad Nosrati
Keyword(s):  
Greenhouse Gas ◽  
Diesel Fuel ◽  
Ecological Footprint ◽  
Sustainability Assessment ◽  
Greenhouse Gas Emission ◽  
Production Systems ◽  
Animal Feed ◽  
Gas Emission ◽  
Footprint Analysis ◽  
Ecological Footprint Analysis

Abstract This study examined energy, greenhouse gas emission and ecological footprint analysis (EFA) of chickpea and lentil cultivation with different mechanization production systems. In lentil production, except for tillage operations, other operations are performed manually and the remaining straw is burned in the field; while in chickpea production, most of the agricultural operations are mechanized and residues are collected, baled and transferred to the warehouse for animal feed. In this paper, for the first time, some of the sustainability indicators are investigated and compared in two different legume production systems. Energy productivity and net energy for chickpea and lentil production were calculated at 0.036, 0.161 and 2373 and 5900 MJ per hectare, respectively. The CO2 emission and ecological carbon footprint were 173 kg CO2−eq and 0.15 global hectare for lentil and 484 and 0.87 for chickpea production. Totally, due to excessive consumption of diesel fuel and lack of proper management, the social cost of emission from straw baling in chickpea production (27.65 dollars per hectare) was higher than burning straw in lentil production (8.77). Multi-objective genetic algorithm results showed the potential of minimizing diesel fuel and fertilizer consumption and no chemical for chickpea production. Overall audition results of two different production systems revealed that traditional lentil production is more sustainable. Therefore, implementations of modern agricultural practices alone are not enough to achieve sustainability in agricultural production systems.

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