scholarly journals Carbon footprint inventory of rubber industry in two phases planting and processing in Binh Duong province

2016 ◽  
Vol 19 (4) ◽  
pp. 25-38
Author(s):  
Dung Minh Ho ◽  
Giang Le Nhat Tran
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Processing Plant ◽  
Rubber Latex ◽  
Gas Emissions ◽  
Rubber Industry ◽  
Study Results ◽  
Processing Plants ◽  
Two Phases ◽  
Rubber Block

With the objective of assessing the current greenhouse gas emissions and proposing solutions to reduce greenhouse gas emissions from planting and processing of rubber industry in Binh Duong province, the study using the Life Cycle Assessment (LCA) method combined with instructions of IPCC (2006), the study has done the inventory of greenhouse gas emissions in plantation and processing plants in 11 plantations and 03 processing plants of Dau Tieng Rubber Co.Ltd, Binh Duong province. The results showed that emissions in plantation is 1,038.2 kg C/ton product, 91.5% to 94.6% from the total emissions of the products; emissions of rubber blocks from latex is 1,134.7 kg C/ton product; emissions of rubber block from latex condensed is 1,098.0 kg C/ton product; emissions of latex concentrated is 1,110.8 kg C/ton product; emissions of skim block is 1,123.9 kg C/ton product. In addition, the study also proposes measures to reduce greenhouse gas emissions in plantation and processing plant. The measures is mainl focused on changing the way of using fertilizers, increased efficiency of using urea in rubber trees and reduce the amount of fertilizer containing urea /nitrogen. Study results will help managers and enterprises control greenhouse gas emissions from rubber latex processing industry in Binh Duong province.

The use of an optimisation model to design a green supply chain

2016 ◽  
Vol 27 (2) ◽  
pp. 595-618 ◽  
Author(s):  
Janya Chanchaichujit ◽  
Jose Saavedra-Rosas ◽  
Mohammed Quaddus ◽  
Martin West
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Green Supply Chain ◽  
Gas Emissions ◽  
Chain Management ◽  
Content Type ◽  
Rubber Industry ◽  
Optimisation Model

Purpose – The purpose of this paper is to take the first step in solving environmental supply chain management issues. It proposes a green supply chain management (GSCM) model which would provide environmental benefits to the Thai rubber industry. To this end, a GSCM optimisation model was formulated, whereby the manufacturing processes of rubber products, along with their distribution and transportation, could be improved. The expected result is that total greenhouse gas emissions would be minimised and environmental performance maximised. Design/methodology/approach – Linear programming was chosen as the mathematical programming for investigation into the problem of finding the association of quantity of rubber product flow between the supply chain entities (farmer, trader group, and factory) and the transportation mode and route, with a view to minimise total greenhouse gas emissions. Findings – The results indicate that by using the proposed model, GHG emissions could be minimised to 1.08 tons of GHGs per ton of product. Practical implications – A GSCM model developed in this research can be used as a decision support tool for Thai rubber policy makers. This would allow them to better manage the Thai rubber industry to achieve environmental benefit. Originality/value – This research is among the first attempts to develop a GSCM model for the Thai rubber industry. It can contribute to providing a basis for a GSCM modelling framework, along with a formulation for research development in this area.

Greenhouse gas emissions from rubber industry in Thailand

2010 ◽  
Vol 18 (5) ◽  
pp. 403-411 ◽  
Author(s):  
Warit Jawjit ◽  
Carolien Kroeze ◽  
Suwat Rattanapan
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
Rubber Industry

scholarly journals Quantifying Gas Emissions and Denitrifying Genes in a Salt-Affected Soil

Proceedings ◽  
2019 ◽  
Vol 36 (1) ◽  
pp. 23
Author(s):  
Minh ◽  
Warneke ◽  
Bissett ◽  
Cao ◽  
Macdonald ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Quantitative Polymerase Chain Reaction ◽  
Agricultural Practices ◽  
Cumulative Emission ◽  
Gas Emissions ◽  
Salt Affected Soil ◽  
Elevated Salinity ◽  
Study Results ◽  
Salt Affected Soils

Salinity effects on microbial community relative to greenhouse gas emissions are not well understood in salt-affected soils. A better understanding of this interaction would be useful for agricultural practices to reduce nitrogen gas losses and manage environmental pollution. We hypothesized that elevated salinity would increase the abundance of denitrifier genes resulting in a low rate of gas emissions. Objectives of this study were to measure induced-soil greenhouse gas emissions and to quantify denitrifying genes in a salt-affected soil over a 3-week incubation period. This incubation study was conducted by submerging field-moist samples of an acid sulphate soil in different saline solutions. A quantitative polymerase chain reaction (qPCR) was used to quantify the abundance of resident bacterial denitrification genes in the salt-affected soil. It was found that increased salinity caused a decrease in both flux and cumulative emission of N2O from the incubated soil, relative to fresh water. Soil respiration was significantly reduced in salinity treatments compared to the treatment of distilled water. The study results showed that elevated salinity increased the denitrifying genes in the incubated acid sulfate soil. The abundance of the nir genes was usually high between the first and second week of incubation, while number copies of the nosZ gene were significantly low at those times. The study concludes that salinity controls the biological aspects of denitrification leading to a reduction of greenhouse gas emissions. Findings from this investigation extend our knowledge about the underlying molecular ecological mechanisms of denitrification that manage nitrogen cycling in salt-affected soils.

scholarly journals Carbon Emission Reduction Strategies Through Cleaner Production at Coconut Milk Processing Plant

2021 ◽  
Vol 90 (1) ◽  
pp. 146-153
Author(s):  
Mohamed Hafiz Md Isa ◽  
Mohamad Fahim Ikhwan Najamuddin
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Manufacturing Industry ◽  
Processing Plant ◽  
Waste Generation ◽  
Gas Emissions ◽  
Carbon Emission Reduction ◽  
Milk Processing

The manufacturing industry is one of the most influential sectors contributing to greenhouse gas emissions. As the manufacturing industry strives to achieve its profit goal, most of them face various circumstances to control the rising carbon emissions from the energy, raw material consumption, and waste generations due to production activities. Therefore, it is difficult to quantify the amount of carbon emission reduction if the adjustment is not established according to the manufacturing output. This research concentrates on evaluating energy consumption and waste generation using a statistical approach by a coconut milk processing plant. This research aims to estimate the reduction of greenhouse gas emissions, mainly carbon dioxide (CO2). The baseline models of energy consumptions and waste generations were constructed using single and multiple linear regression methods. Besides, it investigates the performance of ultimate models of electrical consumption, water consumption, fuel consumption, solid waste generation, and wastewater generations using statistical analysis that involves coefficient of correlation, coefficient of determination, analysis of variance (ANOVA), etc. It indicates that with the implementation of the cleaner production (CP) strategy, the plant had reduced 10,474.94 tons of CO2 and 2,579.67 tons of CO2 in 2018 and 2019, respectively. This study is an aid to the management and engineers of the industry to investigate their accomplishment in reducing environmental impacts caused by production activities from any implementation made such as CP and green industry practices.

Low-Carbon Russia: Prospects after the Crisis

2009 ◽  
pp. 107-120 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Potential Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Low Carbon ◽  
Modeling Tools ◽  
Gas Emissions ◽  
Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

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