Amount Of Greenhouse Gas Emissions Research Articles

Accounting for Carbon Emissions Among Large U.S. Companies: Does Materiality Matter

This paper investigates carbon emissions materiality with regards to financial statements and investigates potential methods of accounting for carbon emission rights. We investigate whether some of the largest U.S. companies should be required to discuss and quantify greenhouse gas emissions, as defined by the GHG Protocol, in the required 10-K annual report. Our analysis uses a new metric, based on social carbon cost, that suggests social cost of carbon emissions could be material, and supports the need for transparent accounting of the financial impact of carbon emissions in the required 10-K annual report. We searched each company’s 10-K for information on climate change and emissions-related disclosures. We found that while most companies acknowledge climate change as a risk factor, their 10-K narratives do not discuss or explain the impact of emissions on financial performance. Our findings suggest that climate-related factors are not being appropriately captured in current 10-Ks despite increasing calls for greater transparency on climate-related exposure, raising concerns that investors are not receiving the appropriate information necessary to evaluate investments. Providing such information would allow investors to gain a better understanding of company risks, and enhance their ability to make better investment choices.

Enhancing Ethiopian power distribution with novel hybrid renewable energy systems for sustainable reliability and cost efficiency

Economic development relies on access to electrical energy, which is crucial for society’s growth. However, power shortages are challenging due to non-renewable energy depletion, unregulated use, and a lack of new energy sources. Ethiopia’s Debre Markos distribution network experiences over 800 h of power outages annually, causing financial losses and resource waste on diesel generators (DGs) for backup use. To tackle these concerns, the present study suggests a hybrid power generation system, which combines solar and biogas resources, and integrates Superconducting Magnetic Energy Storage (SMES) and Pumped Hydro Energy Storage (PHES) technologies into the system. The study also thoroughly analyzes the current and anticipated demand connected to the distribution network using a backward/forward sweep load flow analysis method. The results indicate that the total power loss has reached its absolute maximum, and the voltage profiles of the networks have dropped below the minimal numerical values recommended by the Institute of Electrical and Electronics Engineers (IEEE) standards (i.e., 0.95–1.025 p.u.). After reviewing the current distribution network’s operation, additional steps were taken to improve its effectiveness, using metaheuristic optimization techniques to account for various objective functions and constraints. In the results section, it is demonstrated that the whale optimization algorithm (WOA) outperforms other metaheuristic optimization techniques across three important objective functions: financial, reliability, and greenhouse gas (GHG) emissions. This comparison is based on the capability of the natural selection whale optimization algorithm (NSWOA) to achieve the best possible values for four significant metrics: Cost of Energy (COE), Net Present Cost (NPC), Loss of Power Supply Probability (LPSP), and GHG Emissions. The NSWOA achieved optimal values for these metrics, namely 0.0812 €/kWh, 3.0017 × 106 €, 0.00875, and 7.3679 × 106 kg reduced, respectively. This is attributable to their thorough economic, reliability, and environmental evaluation. Finally, the forward/backward sweep load flow analysis employed during the proposed system’s integration significantly reduced the impact of new energy resources on the distribution network. This was evident in the reduction of total power losses from 470.78 to 18.54 kW and voltage deviation from 6.95 to 0.35 p.u., as well as the voltage profile of the distribution system being swung between 1 and 1.0234 p.u., which now comply with the standards set by the IEEE. Besides, a comparison of the cost and GHG emission efficiency of the proposed hybrid system with existing (grid + DGs) and alternative (only DGs) scenarios was done. The findings showed that, among the scenarios examined, the proposed system is the most economical and produces the least amount of GHG emissions.

Wind energy resource assessment and wind turbine selection analysis for sustainable energy production

The objective of this study is to perform an analysis to determine the most suitable type of wind turbine that can be installed at a specific location for electricity generation, using annual measurements of wind characteristics and meteorological parameters. Wind potential analysis has shown that the analyzed location is suitable for the development of a wind farm. The analysis was carried out for six different types of wind turbines, with a power ranging from 1.5 to 3.0 MW and a hub height set at 80 m. Wind power potential was assessed using the Weibull analysis. The values of the scale coefficient c were determined, and a large monthly variation was observed, with values ranging from 1.92 to 8.36 m/s and an annual value of 4.95 m/s. Monthly values for the shape coefficient k varied between 0.86 and 1.53, with an annual value of 1.07. Additionally, the capacity factor of the turbines was determined, ranging from 17.75 to 22.22%. The Vestas turbine, with a nominal power of 2 MW and a capacity factor of 22.22%, proved to be the most efficient wind turbine for the specific conditions of the location. The quantity of greenhouse gas emissions that will be reduced if this type of turbine is implemented was also calculated, considering the average CO2 emission intensity factor (kg CO2/kWh) of the national electricity system.

Estimation of greenhouse gas emission due to open burning of rice straw using Sentinel data

In recent decades, Vietnam has gradually become a critical global rice producer. During that production process, residual straw becomes an environmental pollutant due to open burning, raising greenhouse gas emissions. This study combines the optical images of the Sentinel-2 satellite and the radar images of the Sentinel-1 satellite to estimate the dry biomass of rice and to determine gas emissions due to rice straw burning over the fields in Quoc Oai district, Hanoi city for urban environmental management purposes. Sentinel-2 images have been classified into the land covers, thereby identifying the areas of ​​rice cultivation and the areas of ​​burned straw. Meanwhile, the Sentinel-1 radar image has been used to calculate the dry biomass of rice due to its ability to penetrate clouds, an obstacle to optical images in tropical regions. Furthermore, a field trip during harvesting season allows us to measure aboveground dry biomass. Then, the analysis shows a high correlation between the backscatter V.V. and V.H. of the radar image and the in-situ dry biomass (R=0.923 and R2=0.852), with a relatively low average error (RMSE = 6.58 kg/100 m2). By linear regression method, the study found the total rice dry biomass of 28728.5 tons, which was obtained after the Summer rice crop 2020 for the whole Quoc Oai district, of which 2037.91 tons of rice straw have been burned, releasing a large amount of greenhouse gas emission with 2398.6 tons of CO2, 189.5 tons of CO, 18.8673 tons of PM10 dust, 17.2087 tons of PM2.5 dust and some other gases. The identical procedure has also been applied to the western region of Hanoi city center to estimate the amount of gas emissions. This study has proven the effectiveness of an approach and contributed to supporting urban managers in proposing appropriate policies to monitor and protect the environment.

The Influence of Cropping Systems and Tillage Intensity on Soil CO2 Exchange Rate

In order to control the amount of greenhouse gas emissions from agriculture, it is necessary to select the appropriate crop rotation and tillage intensity depending on the soil type and climatic conditions. However, their implementation in agricultural management methods has been insufficient until now. The main objective of this study was to investigate the changes and dependences in soil net CO2 exchange rate (NCER) and main physico-chemical parameters under different tillage (conventional (CT) and no tillage (NT)) and crop rotation systems. Cropping systems significantly affected the amount of nutrients, but did not affect pH and organic carbon; otherwise, tillage vs. cropping systems had no significant effects on the soil chemical parameters analyzed. The data revealed that in NT treatments, the NCER was 28% higher than in CT. Different crop rotations also revealed a significant effect on NCER from the soil. Carbon dioxide fluxes increased in cropping systems where a higher share of catch crops were included. In NT systems, a comparatively higher soil moisture content was registered. In addition, the rotations with catch crops produced a higher (by 1–3%) soil moisture content. The temperature of the soil surface was not significantly affected by tillage or cropping systems; nevertheless, a trend towards higher soil surface temperatures in CT was determined, which might be affected by enhanced air circulation in the pores. Soil NCER increase correlated negatively with higher soil surface moisture content, while its relationship was positive with soil surface temperature increase. In general, soil surface temperature and moisture were the most significant factors in explaining the fluctuation in NCER from Cambisols in Lithuania under moderate climatic conditions.

Estimating Greenhouse Gas Emissions from Household Activities: A Case in Bogor Indonesia

Climate change is a result of global warming. Global warming is caused by an increase in the concentration of greenhouse gases (GHGs) in the atmosphere. One of the largest GHG-contributing sectors is the energy sector, which includes households with various activities. Household activities include using LPG, electricity, gasoline, waste generation, and farming and livestock activities to meet the household's needs. The level of GHG emissions produced in households is influenced by income, years of study, and knowledge of emissions. The objectives of this study are to estimate the amount of GHG emissions generated from household activities, analyze the factors that influence GHG emissions, and estimate the value of the carbon economy. The analytical methods used are quantitative descriptive analysis, IPCC (2006) method, multiple linear regression, and economic value analysis. The results showed that: (1) CO2-eq emissions generated in Sinarsari Village for 100 respondents amounted to 32,011.68 kg CO2-eq/month, and the amount of GHG emissions in one village scope amounted to 853,431.36 kg CO2-eq/month. (2) Income, length of study, and emission knowledge dummy influence GHG emissions. 3) Carbon economic value based on carbon pricing is Rp287,415,199.70/month.

Impacts of climate change on environmental and economic sustainability of flexible pavements across China

Pavements are susceptible to accelerated deterioration due to changing climate conditions, leading to increased maintenance and excess fuel consumption through pavement-vehicle interaction. China's diverse climates raise concerns about the environmental and economic sustainability of flexible pavements amid climate change and the effectiveness of preventative maintenance strategies. This study examines climate change's potential impacts on long-term pavement performance, greenhouse gas (GHG) emissions, and costs, employing the Mechanistic-Empirical Pavement Design Guide method. The calibrated World Bank's Highway Development and Management Model 4 assesses the impacts of surface characteristics on vehicle fuel consumption. Life cycle assessment and life cycle cost analysis quantify GHG emissions and costs. Results reveal significant pavement deterioration in Southeast and Central China. Preventative maintenance strategies reduce fuel consumption, with GHG emissions and cost savings from smoother driving conditions outweighing those from maintenance. These insights stress the importance of proactive maintenance strategies for mitigating climate-induced deterioration and enhancing sustainability.

Greenhouse gas and ammonia emissions in modelled cereal crop production under Polish agricultural conditions: An example spring barley

Based on the analysis of statistical data, the average area under cultivation and average yields of barley in Poland in 2010–2020 were calculated. Barley is one of the most important cereals grown in Poland. Its cultivation area occupied an average of 920,595 ha in these years, with average yields of 3.66 Mg∙ha−1. Barley is a cereal grown mainly as a spring cereal. The average area under spring species in these years accounted for 95% (875,771 ha) of the total area under this cereal, and the average yield of spring varieties was 3.60 Mg∙ha−1. In order to estimate emissions of greenhouse gases (GHG) and ammonia (NH3), the sources of emissions – inorganic fertilisers, fuel consumption – were analysed for selected barley cultivation technologies, differentiated by yield level, and variant model production technologies were developed to obtain projected yields. Emissions were calculated for individual greenhouse gases (N2O, CH4 and CO2) and they were recalculated according to the greenhouse potential of each gas (GWP – global warming potential) to be able to compare the total amount of greenhouse gas emissions for the analysed variants. Greenhouse gas emissions for cultivation technology ranged from 134.53 to 136.48 kg CO2eq for 1 Mg yield. A more accurate Tier 2 method was used to estimate NH3 emissions, taking into account soil conditions and climate zone. The estimated ammonia emissions from the application of mineral fertilisers were from 0.99 kg to 2.35 kg for 1 Mg yield.

Use of the Gas Emission Site Type Method in the Evaluation of the CO2 Emissions in Raised Bogs

Peatbogs are important in global greenhouse gas budget estimates. The main aim of the work was to assess the amount of greenhouse gas emissions based on the Greenhouse Gas Emission Site Type (GEST) method and compare them with actual field measurements. The research was carried out in selected peatbog areas in the coastal zone of northern Poland. The proposed method allowed us to assess whether the restoration treatments carried out in peatbogs contributed to the emission of these gases. The results of this research using the GEST method indicate that, in the studied peatbog areas, the reduction in CO2 emissions was approximately 12%. These results were compared with actual measurements of greenhouse gas emissions made using the chamber method in 2018. The average CO2 emission for the entire peatbog was 16,338.7 t CO2-eq./yr. Comparing this result with the result obtained using the GEST method, it should be stated that it is lower by 2.464.1 t CO2-eq./year, which gives an approximately 13% overestimation of the result by the Gas Emission Site Type method.

Carbon Emission and Footprints of Hospitality Industries in Akure Metropolis, South Western Nigeria

Climate change and global warming have been identified as major threats to the development of existing ecosystem services and local livelihoods. Mitigating greenhouse gas (GHGs) emissions has become an urgent global policy trajectory with countries acceding to related Treaties and setting national targets. This forms the basis for undertaken this study with a view to assess and report on the Green House Gas (GHG) emission of some hospitality industries in Akure, Nigeria. Using qualitative methodology, the carbon footprint of thirty hotels was assessed. The hotels were selected based on star ratings and categories. Purposive sampling was used to select the respondents based on management heads of the hotels while the result was presented qualitatively using thematic analysis. Results revealed that the sources of GHGs emissions are constituted by human activities including consumption of electricity, fuel combustion, waste generation and laundry services, of which waste and fuel combustion are the highest factor. Reports also showed that the bigger the hotel in term of star rating and category the higher the carbon and GHG emissions. The evaluated hotels emit significant amount of greenhouse gases each year which is detrimental to environment health, The study recommended further research to assess the applicability of the identified strategies for enhancing environmental performance of hospitality industry and to quantify GHGs emissions from cooling appliance within the hospitality industry in the study area.

CO2 emissions prediction based on regression, neural network and SVM

As a matter of fact, with the fast-pace development of global economics and technology, the natural environment is suffering from great amount of greenhouse gases emissions, which attract a lot of attentions from researchers. Specifically, in statistics and data science, experts believe that making accurate CO2 emissions prediction could help governments make policies accordingly. In this paper, three different machine learning models (regression, neural network and support vector machine) are analysed in terms of their construction process and performance on CO2 emissions prediction. Besides, some practical applications from these studies are shown. In general, based on the analysis, these models have made great achievement on CO2 emissions prediction and they all solve the issue in various perspectives. Therefore, this study will show the effectivity of machine learning models on CO2 emissions prediction and encourage more scientists from different majors to take part in it. Overall, these results shed light on guiding further exploration of carbon emission prediction.

Potential Reductions in the Environmental Impacts of Agricultural Production in Hubei Province, China

Quantifying potential reductions in environmental impacts for multi-crop agricultural production is important for the development of environmentally friendly agricultural systems. To analyze the spatial differences in the potential reduction in nitrogen (N) use, we provided a framework that comprehensively assesses the potential of improving N use efficiency (NUE) and mitigating environmental impacts in Hubei Province, China, for multiple crops including rice, wheat, maize, tea, fruits, and vegetables, by considering N and its environmental indicators. This framework considers various sources such as organic N fertilizers and synthetic fertilizers, along with their respective environmental indicators. We designed different scenarios assuming varying degrees of improvement in the NUE for cities with a low NUE. By calculating the N rate, N surplus, N leaching, and greenhouse gas (GHG) emissions under different scenarios, we quantified the environmental mitigation potential of each crop during the production process. The results showed that when the NUE of each crop reached the average level in Hubei Province, the improvement in environmental emissions is favorable compared to other scenarios. The N rate, N surplus, N leaching, and GHG emissions of grain (cash) crops could be reduced by 25.87% (41.26%), 36.07% (38.90%), 49.47% (36.14%), and 51.52% (41.67%), respectively. Overall, improving the NUE in cash crops will result in a greater proportionate reduction in environmental impacts than that in grain crops, but grain crops will reduce the total amount of GHG emissions. Our method provides a robust measure to assess the reduction potential of N pollution and GHG emissions in multi-crop production systems.

Quantifying greenhouse gas emissions mitigation potential in China's agricultural plastic greenhouses

To promote sustainable intensification and provide guidance for decisionmakers, we must understand the potential for mitigating greenhouse gas emissions in greenhouse cultivation. Therefore, this study aimed to evaluate the greenhouse gas emission mitigation potential of agricultural plastic greenhouses in China using a combination of life cycle assessment, data envelopment analysis, and scenario analysis. We found that: (1) In China, the mean mitigation potential for greenhouse gas emission intensity related to the crop production inputs of agricultural plastic greenhouses is 1.67 kt CO2-eq/km2, demonstrating a remarkable mitigation rate of 47 %. This mitigation potential, driven mostly by fertilizer use, exhibited a spatial pattern characterized by high mitigation rates in the southern regions compared to those in the northern regions; (2) in scenarios S1 and S2, the greenhouse gas emission intensity mitigation potential of greenhouse construction materials was 0.645 kt CO2-eq/km2 and 0.968 kt CO2-eq/km2, respectively, with steel being the primary contributor to mitigation; (3) under scenarios S1 and S2, the greenhouse gas emission mitigation rates for China's agricultural plastic greenhouses were 42 % and 48 %, respectively. This study highlights the greenhouse gas emission mitigation potential of China's agricultural plastic greenhouses. To ensure sustainability in plastic greenhouses, emphasis should be placed on optimizing fertilizers and extending the lifespan of construction materials.

OPPORTUNITIES TO INCREASE THE ECONOMIC EFFICIENCY OF CO2 USE PROJECTS

Against the background of structural problems of the oil and gas industry, an increase in the share of hard-to-recover reserves, an increase in greenhouse gas emissions, and an unstable macroeconomic situation, the issue of improving the efficiency of field development, both from a technological and economic point of view, is acute. The results of the studies show that without the use of modern methods of improving oil recovery, maintaining stable production levels across the industry is becoming more difficult. Today, the efficiency of oil extraction by the main development methods is considered unsatisfactory, given the growing global consumption of petroleum products.Over the years, global interest in enhanced oil recovery has increased, and research is underway to find a scientifically sound approach to selecting the most efficient oil field development technologies.Despite the large number of experiments and the accumulated practical experience in using enhanced oil recovery methods, there is currently a wide gap between the needs of oil field stakeholders and the supply of services to implement these methods.Environmental issues are also important. Significant amounts of greenhouse gas emissions and the need for their disposal suggest the search for optimal ways to use them. Reducing СО2 emissions is a complex process involving capturing it in industrial plants, transporting it from capture sites to use sites, and locating it in geological sites.The subject of the study is to assess the feasibility of using СО2 as a method of increasing oil recovery.The article presents the results of a technical and economic assessment of the feasibility of using СО2 in an injection agent to improve oil recovery using the example of one of the fields in the West Siberian oil and gas province. The assessment showed that from a technological point of view, it is advisable to use the method, additional oil production is 3–7 %. However, additional tax incentives are required for interventions to become economically effective, as the interventions are highly capital intensive. The authors proposed an incentive option to ensure a positive economic effect, as well as to avoid a decrease in tax revenues compared to the basic option with water injection.

Comparing carbon footprints of sheep farming systems in semi-arid regions of India: A life cycle assessment study.

Carbon foot prints (CFs) studies based on life cycle assessment between sheep farming systems and green house gases (GHG) emissions is one of the best indicators to quantify the amount of GHG emissions per kg of product. Therefore, a life cycle assessment (LCA) study was conducted for three different sheep farming systems i.e. intensive system (stall fed only), semi-intensive (grazing with supplementation) and extensive system (grazing only) under semiarid region of India to assess the carbon cost of sheep rearing. The total CFs were estimated to be 16.9, 15.8 and 17.1 kg CO2-eq in intensive, semi-intensive and extensive system of grazing indicating semi-intensive system to be most carbon (C) efficient. For 1kg mutton production in semi-intensive and intensive system, around 30% and 24% CFs were contributed from enteric fermentation and feed respectively, whereas, in extensive system, the contribution of enteric fermentation increased up to 50%. The carbon foot prints analysis gives an insight of carbon inputs used but the amount of CO2 sequestered in soil making LCA a holistic approach for estimating GHG emissions from livestock.

Quantifying and Comparing Greenhouse Gas Emissions in Monsoon Rice Production: A Comprehensive Analysis of Transplanting and Broadcasting Sowing Methods in Myanmar

Introduction Rice is a staple food, an economic crop, and the second-highest source of greenhouse gas (GHG) emissions in the agricultural sector in Myanmar. To develop the rice sector in a sustainable way, this study aimed to determine the comparative GHG emissions between the two major sowing methods used in monsoon rice production. Methods Next, comparative GHG emissions analysis was done by using the Student t-test. This study first quantified GHG emissions from land preparation to straw burning by using emission factors for agricultural inputs and the formulation, default values, and scaling factors of a carbon footprint calculator customized for rice products (CF-Rice). Results Soil and water management was the largest contributor among the management practices in monsoon rice production and accounted for 64.8% of the total GHG emissions. At 4,479.5 kg CO2 eq. ha-1, GHG emissions from the broadcasting (BC) method were significantly higher than those from the transplanting (TP) method. Conclusion Therefore, the TP method is a better sowing technique than the BC method for reducing GHG emissions without reducing grain yield.

An Energy-Efficient Unrelated Parallel Machine Scheduling Problem with Batch Processing and Time-of-Use Electricity Prices

The extensive consumption of energy in manufacturing has led to a large amount of greenhouse gas emissions that have caused an enormous effect on the environment. Therefore, investigating how to reduce energy consumption in manufacturing is of great significance to cleaner production. This paper considers an energy-conscious unrelated parallel batch processing machine scheduling problem under time-of-use (TOU) electricity prices. Under TOU, electricity prices vary for different periods of a day. This problem is grouping jobs into batches, assigning the batches to machines and allocating time to the batches so as to minimize the total electricity cost. A mixed-integer linear programming model and two groups of heuristics are proposed to solve this problem. The first group of heuristics first forms batches, assigns the batches to machines and finally allocates time to the batches, while the second group of heuristics first assigns jobs to machines, batches the jobs on each machine and finally allocates time to each batch. The computational results show that the SPT-FBLPT-P1 heuristic in the second group can provide high-quality solutions for large-scaled instances in a short time, in which the jobs are assigned to the machines based on the shortest processing time rule, the jobs on each machine are batched following the full-batch longest processing time algorithm, and the time is allocated to each batch following an integer programming approach. The MDEC-FBLPT-P1 heuristic that uses the minimum difference of the power consumption algorithm to assign the jobs also performed well.

Carbon reserves on the soils of the Dmitrievsky village council of the Ufa district of the Republic of Bashkortostan

The research was carried out within the framework of the state task of the Ministry of Education and Science of the Russian Federation “Program for the creation and operation of a carbon landfill in the Republic of Bashkortostan “Eurasian carbon landfill” for 2022-2023 (Publication number: FEUR-2022-0001). Carbon deposition in the soil is an essential function arising from the interaction of ecological processes. Human activity influencing these processes leads to dehumidification or, conversely, deposition of soil carbon. The article presents the materials of the analysis of literary sources on the subject of carbon farming, as well as the content of organic matter in the soils of agricultural lands of the southern forest-steppe of the Republic of Bashkortostan in the conditions of a carbon landfill in the Ufa district (Russian Federation). This study aims to analyse carbon reserves in the humus-accumulative soil horizon of a carbon landfill on agricultural lands in the Dmitrievsky Village Council of the Ufa district of the Republic of Bashkortostan. An agrochemical analysis of the accumulation of soil organic matter was carried out, and the capacity of the humus horizon of the soils of this site was determined. Carbon reserves in the studied soils were determined according to the methodology for quantifying greenhouse gas emissions and uptake [Order of the Ministry of Natural Resources of Russia No. 371 dated 05/27/2022, Guidelines for Quantifying the volume of greenhouse gas uptake]. The carbon content in the organic matter of soils is assumed to equal 58%. The conversion to the stock of soil carbon was carried out, considering the density of the soil composition. The degree of saturation of the soils of the studied sites, including the carbon landfill, is calculated. The reserves of organic carbon under individual varieties of soils in the humus-accumulative horizon - 4616360 tons were estimated.

Application Comparison of the Lex Loci Delicti Commission Theory between the Oil Spill Case in the Gulf of Mexico and the Carbon Emissions Case in the Netherlands

The event of a disastrous oil spill from British Petroleum's offshore drilling installation on the 20th of April 2010 was caused by a leaking underwater pipeline, which polluted the waters of the Gulf of Mexico. Subsequently, there was the Carbon Emission Case in the Netherlands, which required Shell to reduce their carbon emissions by 45% by 2030 from the carbon emissions generated in 2019. Both events were deeply concerning and directly effected the citizens of the respective countries. In the first case, the spill of approximately 5,000 barrels or 210,000 gallons (795,000 liters) of crude oil spread extensively due to ocean currents where the contaminated area ended up covering 9,933 square kilometers of ocean (77 x 129km). This oil spill, which was a result of British Petroleum's negligence, lead to legal action taken against the company for violations of international environmental laws, due to environmental pollution. In the second case, Shell, was deemed to have contributed significantly to climate change in the Netherlands. The company was responsible for twice the amount of greenhouse gas emissions than the Netherlands. The research method employed in this journal uses a normative juridical research approach, focusing on legal norms within the decisions for Case MDL No. 2179 and the Verdict issued by the Haugue District Court. In this journal, the author concludes that both British Petroleum and Shell have been proven to commit unlawful acts against the international environment laws through environmental pollution.

Beef Toughness and the Amount of Greenhouse Gas Emissions as a Function of Localized Electrical Stimulation.

This study investigated the effect of localized electrical stimulation on Hanwoo beef quality. It focused on the chemical and physical properties of the Longissimus thoracis (LT) and Biceps femoris (BF) muscles, and it explored the implications of carbon dioxide (CO2) reduction achieved by accelerating tenderization via localized electrical stimulation. The results show that the application of localized electrical stimulation (45 V) had no significant impact on the TBARS (thiobarbituric acid reactive substances) of either the LT muscle or the BF muscle. Localized electrical stimulation and aging treatments had a significant effect on meat tenderness in the LT and BF muscles, but there was no interactive effect. In particular, the WBsf (Warnar-Bratzler shear force) at 2 days of aging of the electrically stimulated BF muscle was 5.35 kg, which was lower than that of the control group (5.58 kg) after 14 days of aging; however, the effect of WBsf reduction due to aging in the LT muscle was higher than the localized electrical stimulation effect. Estimating CO2 mitigation from a shorter feeding period for Hanwoo steers from 31 months to 26 months may reduce 1.04 kg of CO2-eq emissions associated with the production of a single kilogram of trimmed beef. In conclusion, localized electrical stimulation improved the tenderness of Hanwoo beef and reduced CO2 emissions.