Increased Greenhouse Gas Emissions Research Articles

Decarbonizing Public Transportation: A Multi-Criteria Comparative Analysis of Battery Electric Buses and Fuel Cell Electric Buses

To combat global warming, many industrialized countries have announced plans to ban vehicles powered by fossil fuel in the near future. In alignment with this global initiative, many countries across the globe are committed to decarbonizing their public transportation sector, which significantly contributes to increased greenhouse gas emissions. A promising strategy to achieve this goal is the adoption of electric buses, specifically battery electric buses and fuel cell electric buses. Each technology offers distinct advantages and drawbacks, making the decision-making process complex. This research aims to answer two critical questions: What is the optimal choice for decarbonizing the bus transportation sector—electric battery buses or fuel cell electric buses? And what are the best energy carrier pathways for charging or refueling these buses? We propose a methodological framework based on multi-criteria decision-making to address these questions comprehensively. This framework utilizes the entropy weighting and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) methodologies to rank alternative bus technologies along with energy carrier pathways. The framework evaluates a range of criteria, including economic viability, energy demand, and environmental aspects. To illustrate the framework, we considered Qatar as a case study. Our results indicate that, with respect to economic viability and energy consumption, the operation of battery electric buses is favored over fuel cell electric buses, regardless of the energy pathway utilized during both the energy production and bus operation phases. However, from an environmental perspective, operating both bus alternatives using energy from green sources provides superior performance compared to when these buses are powered by natural gas sources.

Temperature and Ozone Response to Different Forcing in the Lower Troposphere and Stratosphere

To evaluate the contributions of different forcings to the temperature and atmospheric composition changes between 1980 and 2020, we exploited the chemistry-climate model (CCM) SOCOLv3. The study examined ozone content and atmospheric temperature response to (1) ozone-depleting substances; (2) greenhouse gas concentrations, ocean surface temperature, and sea ice coverage; (3) solar irradiance; and (4) stratospheric aerosol loading and, separately, (5) greenhouse gas concentrations, (6) ocean surface temperature and sea ice coverage, and (7) NOx surface emissions. To evaluate the impacts of specific factors, we performed model runs driven by each factor (1–7) variability as well as a reference experiment that accounted for the influence of all factors simultaneously. We identified the relative contribution of different factors to the evolution of the temperature and ozone content of the lower troposphere and stratosphere from 1980 to 2020. The model results were in good agreement with the reanalyses (MERRA2 and ERA5). We showed that stratospheric ozone depletion before the Montreal Protocol introduction and partial recovery after that were chiefly driven by ODS. Stratospheric aerosol from major volcanic eruptions caused only short-term (up to 5 years) ozone decline. Increased greenhouse gas emissions dominate the ongoing long-term stratospheric cooling as well as tropospheric and surface warming. Solar irradiance contributed to short-term fluctuations but had a minimal long-term impact. Furthermore, our analysis of the solar signal in the tropical stratosphere underscores the complex interplay of solar radiation with volcanic, oceanic, and atmospheric factors, revealing significant altitudinal distributions of temperature and ozone responses to solar activity. Our findings advocate further innovative methodologies to take into account the nonlinearity of the atmospheric processes.

The IPWP as a capacitor for autumn sea ice loss in Northeastern Canada

The Indo-Pacific Warm Pool (IPWP) has been warming due largely to increasing greenhouse gas emissions, but its impact on Arctic sea ice remains unclear. Our study finds a significant negative correlation between the IPWP index and sea ice concentration in northeastern Canada during boreal autumn (October-December). Our results suggest that IPWP warming statistically accounts for 45% of sea ice loss observed in this region. We introduce the “Arctic capacitor effect of the IPWP”, a novel concept that expounds upon the distant connection between greenhouse gas emissions and Arctic sea ice loss. Specifically, as greenhouse gases elevate temperatures in the IPWP, increasing temperature gradient and tropical convection, a planetary wavetrain is initiated. This wavetrain, along with transit eddy feedback, traverses towards the Arctic and thereby influences the strength of the Arctic vortex and its associated effects on Arctic sea ice. Our findings highlight the crucial role of tropical oceans in the broader context of global climate change, emphasizing the necessity of accounting for their impact on polar climate.

Sustainable development goals in emerging markets: Aligning the role of financial inclusion in promoting environmental quality of the Next‐11 economies

AbstractPursuing sustainable development has emerged as a paramount global objective, with the United Nations' Sustainable Development Goals (SDGs) serving as a guiding framework. Increasing environmental degradation is associated with increased greenhouse gas emissions, deforestation, industrial waste, fossil fuel depletion, and loss of biodiversity. This study has analyzed the effect of financial inclusion on ecological sustainability while controlling the effect of financial development, energy consumption, economic growth, urbanization, and trade openness in the Next‐11 economies from 1995 to 2019. The study develops the financial inclusion index through principal components analysis by inculcating three demand‐side and three supply‐side factors of financial inclusion. To analyze the developed model, various first‐generation and second‐generation techniques are applied. The results of Westerlund co‐integration reveal significant long‐run co‐integration among the series. The long‐run elasticities are estimated through dynamic common correlated effect estimation and generalized method of moments where results reveal that FI helps to secure environmental sustainability by reducing the ecological footprint, hence it works on the SDG framework. Economic growth and financial development are found to be the root causes of increasing ecological footprint. So, it is the penetration of excessive credit, not the financial inclusivity which needs to be directed toward sustainability. It is suggested that the governments of Next‐11 countries should steer the capital toward sustainable usage and should continue facilitating financial services to curtail environmental degradation. Our findings have significant repercussions for Next‐11 countries, giving decision makers fresh perceptions of financial inclusion and development implications.

An Analysis of the Global EV Market: Sustainable Pathways to Net Zero Emissions

The rising urgency to address climate change has positioned electric vehicles (EVs) as a critical solution for achieving the United Nations' net-zero carbon emission targets. As human activities increase greenhouse gas emissions, the average global temperature continues to rise, leading to severe natural disasters in many regions. This situation underscores the urgent need to limit pollutant emissions and pursue sustainable resource management. This study analyzes the global EV market's trajectory towards sustainability, focusing on the interplay of policy frameworks and consumer engagement strategies in major EV markets, including the USA, the European Union, and China. The transition to EVs must be considered in conjunction with policy frameworks and the broader social environment. Using mixed methods and statistical models, we assess how different policies influence EV adoption and their alignment with sustainability goals. As the concept of sustainable development becomes more ingrained in society, it is promising that, through sustained policy implementation and resource development, the shift from ICE vehicles to EVs will make a crucial contribution to reducing carbon emissions. The findings provide actionable insights for optimizing policies and refining marketing strategies, offering a comprehensive blueprint for guiding the global EV market towards a sustainable future.

O IMPACTO DAS ALTERAÇÕES CLIMÁTICAS NO COTIDIANO DA SOCIEDADE MODERNA

Climate change has caused significant impacts on the daily life of modern society. Changes in temperature, rainfall patterns and the increase in extreme weather events are directly affecting agriculture, water resources, urban infrastructure and public health. The increasing frequency of natural disasters, such as hurricanes, floods and droughts, forces society to deal with adaptation and mitigation challenges. Economic sectors such as agriculture and tourism are especially vulnerable, as are the poorest populations, who are less able to face the effects of these changes. Furthermore, rampant urbanization and industrialization contribute to increased greenhouse gas emissions, further aggravating the situation. The psychological, social and economic impact of these changes becomes more evident as inequalities are accentuated, with vulnerable communities being the most harmed. Thus, the urgency of concrete actions, both at the local and global level, to mitigate the impacts of climate change, has become one of humanity's main challenges in the 21st century.

Artificial intelligence for predicting arctic permafrost and active layer temperatures along the Alaskan North Slope

Climate change in Arctic regions poses a threat to permafrost stability, potentially leading to issues such as infrastructure damage, altered ecosystems, and increased greenhouse gas emissions. The challenge of monitoring permafrost temperatures and identifying critical environmental factors is accentuated by the scarcity of subsurface thermal data in remote Arctic locales. To alleviate this lack of soil thermal data we set out to combine in situ observed soil temperatures with MERRA-2 reanalysis data and Machine Learning (ML) to develop local and season-specific subsurface soil temperature predictions in Alaska. First, reanalysis features are selected based on surface energy budget physics. Coupled with Julian calendar dates, reanalysis features are preprocessed and then fed to the ML prediction model. We conducted a series of computational experiments and tested the results against performance benchmarks to determine the optimal prediction models, length of look-back period of model inputs, and the training set size. Six conventional ML models (e.g., GBDT, RF, SVR) and five statistical baselines (e.g. ARIMA) using in situ time series of soil temperature data ranging from 0 - 1 m depth are considered for the prediction task. The models are trained using in situ soil temperatures at depths between 0 and 1 m, spanning 16+ years, from field sites at Deadhorse and Toolik Lake, Alaska. All prediction performances are assessed using root mean squared error (RMSE) and mean absolute error (MAE). Results show that locally trained ML models can estimate shallow soil temperatures with an average error of RMSE=1.308∘\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$RMSE=1.308^{\\circ }$$\\end{document}C.

Liming acidic soils creates profits, land use options but often more emissions

Context Soil acidity constrains crop production in Australia. The practice of liming can reduce soil acidity but produces greenhouse gas emissions. Aims By examining land use sequences over three decades at a range of locations in Western Australia, this study aims to identify firstly where and when liming might boost farm profits and secondly, what emissions and land use management flexibilities are generated by liming. Methods Bioeconomic simulation modelling is used to identify the gross margins and emissions associated with liming in land use sequences at 14 locations in Western Australia. Three intensities of cropping and three different rotational sequences are considered. The simulations account for price and weather–year variations across a 30-year period of analysis. Key results Liming is profitable at almost all locations and across all rotation sequences examined. Where problematic soil acidity is a feature or is poised to soon become a problem at a location, liming is a profitable ameliorative practice that enables greater diversity in land use. For most situations assessed, liming increases emissions. The exceptions are at locations where liming prevents a switch away from a crop-dominant system, due to soil acidity reducing crop yields, into additional sheep production that increases emissions. Conclusions Liming is profitable in most acidic soil situations and preserves land use flexibility, although additional greenhouse gas emissions are often generated. Implications Liming acidic soils bolsters land use profitability and helps sustain biologically diverse land use sequences, despite often increasing greenhouse gas emissions.

Cluster-efficient pangenome graph construction with nf-core/pangenome.

Pangenome graphs offer a comprehensive way of capturing genomic variability across multiple genomes. However, current construction methods often introduce biases, excluding complex sequences or relying on references. The PanGenome Graph Builder (PGGB) addresses these issues. To date, though, there is no state-of-the-art pipeline allowing for easy deployment, efficient and dynamic use of available resources, and scalable usage at the same time. To overcome these limitations, we present nf-core/pangenome, a reference-unbiased approach implemented in Nextflow following nf-core's best practices. Leveraging biocontainers ensures portability and seamless deployment in High-Performance Computing (HPC) environments. Unlike PGGB, nf-core/pangenome distributes alignments across cluster nodes, enabling scalability. Demonstrating its efficiency, we constructed pangenome graphs for 1000 human chromosome 19 haplotypes and 2146 Escherichia coli sequences, achieving a two to threefold speedup compared to PGGB without increasing greenhouse gas emissions. nf-core/pangenome is released under the MIT open-source license, available on GitHub and Zenodo, with documentation accessible at https://nf-co.re/pangenome/docs/usage.

Biochar captures ammonium and nitrate in easily extractable and strongly retained form without stimulating greenhouse gas emissions during composting.

During composting of organic waste, nitrogen is lost through gaseous forms and ion leaching. Biochar has been shown to capture mineral nitrogen (Nmin: NH4 + and NO3 -) from compost, which we hypothesize reduces N2O formation. However, associating Nmin captured by biochar with the dynamics of N2O and other greenhouse gas (GHG) emissions during composting remains unstudied and was the aim of this work. We composted (outdoor for 148 days) together kitchen scraps (43.3% dw, where dw is dry weight), horse manure (40.9% dw), and wheat (Triticum aestivum L) straw (15.8% dw) without (Control) or with biochar (Bc, 15% compost dw). The biochar consisted of hardwood and softwood pieces pyrolyzed at 680°C and exhibited 60% of particles with 4-8mm. We monitored compost GHG (CO2, CH4, N2O) emissions, Nmin content in compost and biochar particles (sequential extractions), and biochar surface transformations (SEM-EDX and 13C-NMR spectroscopy) along composting. Biochar did not significantly reduce or increase GHG emissions and Nmin content (mg kg-1) in compost. However, the final NO3 - amount (g compost pile-1) in the Bc treatment was significantly higher (54%) compared to the Control, indicating lower NO3 - losses. Despite the high aromaticity and minimal contribution of carboxyl C to the biochar structure, biochar retained NH4 +, mainly in easily extractable form (55%), in the first 2 weeks of composting and mainly in strongly retained form (75%) in the final compost. The NO3 - content in biochar increased continuously during composting. In the final compost, the NO3 - content extracted from biochar was 164 (37%, easily extractable), 80 (19%, moderately extractable), and 194mg NO3 --N kg-1 (44%, strongly retained). Although Nmin retention in biochar was not accompanied by lower N2O emissions, contradicting our hypothesis, we demonstrated the efficacy of biochar to recover Nmin from organic waste without stimulating GHG emissions.

Considering Embodied Greenhouse Emissions of Nuclear and Renewable Power Plants for Electrolytic Hydrogen and Its Use for Synthetic Ammonia, Methanol, Fischer-Tropsch Fuel Production.

Recent concerns surrounding climate change and the contribution of fossil fuels to greenhouse gas (GHG) emissions have sparked interest and advancements in renewable energy sources including wind, solar, and hydroelectricity. These energy sources, often referred to as "clean energy", generate no operational onsite GHG emissions. They also offer the potential for clean hydrogen production through water electrolysis, presenting a viable solution to create an environmentally friendly alternative energy carrier with the potential to decarbonize industrial processes reliant on hydrogen. To conduct a full life cycle analysis, it is crucial to account for the embodied emissions associated with renewable and nuclear power generation plants as they can significantly impact the GHG emissions linked to hydrogen production and its derived products. In this work, we conducted a comprehensive analysis of the embodied emissions associated with solar photovoltaic (PV), wind, hydro, and nuclear electricity. We investigated the implications of including plant-embodied emissions in the overall emission estimates of electrolysis hydrogen production and subsequently on the production of synthetic ammonia, methanol, and Fischer-Tropsch (FT) fuels. Results show that average embodied GHG emissions of solar PV, wind, hydro, and nuclear electricity generation in the United States (U.S.) were estimated to be 37, 9.8, 7.2, and 0.3 g CO2 e/kWh, respectively. Life cycle GHG emissions of electrolytic hydrogen produced from solar PV, wind, and hydroelectricity were estimated as 2.1, 0.6, and 0.4 kg of CO2 e/kg of H2, respectively, in contrast to the zero-emissions often used when the embodied emissions in their construction were excluded. Average life cycle emission estimates (CO2 e/kg) of synthetic ammonia, methanol, and FT-fuel from solar PV electricity are increased by 5.5, 16, and 49 times, respectively, compared to the case when embodied emissions are excluded. This change also depends on the local irradiance for solar power, which can result in a further increase of GHG emissions by 35-41% in areas of low irradiance or reduce GHG emissions by 21-25% in areas with higher irradiance.

Greenhouse Gas Emissions and Energy Consumption in the Garments, Textile, and Dyeing Sectors in Savar, Dhaka (2019-2021)

Greenhouse gas (GHG) emissions, a key driver of global climate change, continue to rise due to industrial activities and fossil fuel reliance. This study evaluates energy consumption patterns and greenhouse gas (GHG) emissions from the garments, textile, and dyeing industries in Savar Upazila, Dhaka, from 2019 to 2021. Natural gas has been identified as the dominant energy source, contributing to a steady increase in GHG emissions from 64,920 tons in 2019 to 69,531 tons in 2021. Diesel and electricity consumption also contributed to emissions, with notable growth in the textile and dyeing sectors. Although minimal, solar energy adoption showed a positive upward trend, rising from 0.058 to 0.113 TJ during the study period, indicating a shift toward renewable energy sources. Despite this, the total GHG emissions rose from 129,015 tons in 2019 to 137,880 tons in 2021, emphasizing the need for cleaner technologies and more sustainable practices. The findings underscore the significance of enhancing energy efficiency and implementing renewable energy sources to mitigate the environmental impact of these industries.

Regional impacts of solar radiation modification on surface temperature and precipitation in Mainland Southeast Asia and the adjacent oceans.

Solar radiation modification (SRM) has been proposed to temporarily reduce anthropogenic warming. This study presents an assessment of the regional impacts of SRM via solar dimming and stratospheric aerosol injection (SAI) on temperature and precipitation over 0°-30° N and 90° E-110° E, covering Mainland Southeast Asia and adjacent oceans. Using data from the Geoengineering Model Intercomparison Project Phase 6 (GeoMIP6), we examine regional impacts of SRM using three SRM experiments: (1) G6Sulfur, which reduces radiative forcing from the high-emission SSP5-8.5 scenario to the moderate-emission SSP2-4.5 scenario by injecting sulfate aerosols; (2) G6Solar, which similarly reduces radiative forcing from the high-emission to moderate-emission scenarios but by uniformly reducing the solar constant; and (3) G1ext, which reduces radiative forcing from a quadrupled carbon dioxide concentration to pre-industrial levels by uniform solar constant reduction. Our findings show that higher greenhouse gas emissions increase overall precipitation, along with tendencies to have extreme rainfall events and more dry episodes in between. While SRM can partially cool down the surface temperature warming caused by increased greenhouse gas emissions, its effects on precipitation are complex: Solar dimming in G6Solar and G1ext tends to reduce overall precipitation, and tropical sulfate injection in G6Sulfur could lead to further drying in the tropics because of the stratospheric warming associated with the injected aerosols. Different SRM strategies might result in different responses on precipitation.

Carbon Absorption Potential in Sargassum sp. and Padina sp. in The Waters of East Melano Bay, Lemukutan Island, Bengkayang District, West Kalimantan Province

Increasing human activities have caused negative impacts on the environment, such as rising earth's surface temperature and extreme climate change. This impact is caused by increased greenhouse gas emissions such as carbon dioxide and methane. Marine vegetation such as seaweed Sargassum sp. and Padina sp. It can also help absorb carbon and reduce carbon emissions through the process of photosynthesis. Seaweed that has the potential to reduce carbon emissions is Sargassum sp. and Padina sp. which is located in the waters of East Melano Bay, Bengkayang Regency. This study aims to determine the density of seaweed species Sargassum sp. and Padina sp. in East Melano Bay, as well as analyzing the carbon sequestration potential of seaweed. The method used is to use the descriptive method of exploration. The descriptive method of exploration aims to describe the state of a phenomenon. This study uses the quadrant transect method in sampling in the field, while the determination of carbon content uses the analysis of biomass, ash content, moisture content and volatile substances. The results of the analysis that have been carried out show the density value of Sargassum sp. has the highest value of 102.4 Ind/m2 and Padina sp. 76.05 Ind/m2. Carbon sequestration by seaweed Sargassum sp. is 105,637 tons of C/ha and Padina sp. amounting to 78,032 tons of C/ha. Based on the description in this study, it can be concluded that the highest carbon absorption is in Sargassum sp.

URGENSI PELESTARIAN LINGKUNGAN DI ERA REVORMASI 4.0

In the era of Industrial Revolution 4.0, environmental preservation has a very important urgency. The environmental paradigm in this era is the main concern in maintaining the sustainability and balance of the ecosystem. Environmental preservation is becoming increasingly important in this era. Industrial Revolution 4.0 brought major changes in various sectors, including industry, technology and transportation. However, these changes also have negative impacts on the environment, such as increased greenhouse gas emissions, air pollution and ecosystem damage. Environmental preservation in the era of Industrial Revolution 4.0 has high urgency. In facing the challenges of change brought by the Industrial Revolution 4.0, there needs to be awareness and collective action from all parties, both individuals and industry players, to preserve the environment. Therefore, researchers have taken this title with great hopes that it can become reference material for readers and increase our insight and knowledge so that the environment, especially around us, can be preserved.

Biochar Weakens the Efficiency of Nitrification Inhibitors and Urease Inhibitors in Mitigating Greenhouse Gas Emissions from Soil Irrigated with Alternative Water Resources

While previous studies have suggested that biochar, nitrification inhibitors, and urease inhibitors may reduce soil greenhouse gas emissions, their effectiveness in soils irrigated with alternative water resources remains unclear. To compensate for this, reclaimed water and livestock wastewater were utilized as alternative water resources alongside groundwater control. Nitrapyrin and N-(n-butyl) thiophosphoric triamide and biochar were applied to the soil either individually or in combination, and a no-substance treatment (NS) was included for comparison. The results revealed that reclaimed water and livestock wastewater irrigation exacerbated the global warming potential. Compared to the NS, all exogenous substance treatments suppressed nitrous oxide (N2O) emissions while increasing carbon dioxide (CO2) emissions, and affecting methane (CH4) emissions varied across treatments irrespective of the water types. Interestingly, the additional biochar reduced the inhibitory effect of the inhibitors on the greenhouse effect. Using nitrification inhibitors reduced the global warming potential by 48.3% and 50.1% under reclaimed water and livestock wastewater irrigation, respectively. However, when nitrification inhibitors were applied in combination with biochar, the global warming potential was increased by 52.1–83.4% compared to nitrification inhibitors alone, and a similar trend was also observed in the scenario of urease inhibitors, with increases ranging from 8.8 to 35.1%. Therefore, the combined application of biochar and inhibitors should be approached cautiously, considering the potential for increased greenhouse gas emissions.

PSLBII-6 Measuring greenhouse gas emissions from biogas facility as manure treatment and comparing with 2006 IPCC guideline calculation

Abstract To achieve global net-zero emission goals by 2050, Korea government announced 2050 carbon neutral scenarios. Substitution of fossil fuel power plants to renewable energy plants is the main strategic long-term vision. It included increasing the number of a biogas facility to retrieve methane (CH₄) for energy sources from manure. As increasing the biogas facility with using manure, it is important to quantify and monitor the greenhouse gas (GHG) such as CH₄ and nitrous oxide (N₂O). The objective of this research was to measure the GHG emissions from the biogas facility as the baseline to construct the country-specific emission factors, and to compare the emissions between site measured data and 2006 IPCC guideline (2006 IPCC GL). This facility was constituted with feedstock, anaerobic digestion, biogas storage, and liquid fertilizer storage. The facility treats 70 tons of swine manure from 20,000 pigs and 30 ton of food waste per day and generates 3,000 m3 /d of biogas. All gases were vented by negative pressure from the odor treatment tower, except the generator and its blowers. Quantification of the total GHG emissions from the biogas facility was conducted for 24 h every 2 wk, from July 2022 to October 2023, using CH₄/N2O Analyzer (Los Gatos Research, San Jose, CA). The total emissions of CH₄ and N2O were 12,545 ± 2,297 kgCH4/yr and 442 ± 1,123 kg N2O/yr. To compare total GHG emissions from the facility, it was changed by carbon dioxide (CO2) equivalent. The results showed that when the system of biogas facility operated normally, it can reduce the total GHG emissions by up to 60% compared with 2006 IPCC GL calculation. However, if the system does not circulate properly, it can result in 18 times greater emissions due to N2O, leading to significant increase in GHG emissions. To reduce GHG from biogas facilities, it is crucial to ensure continuous operation of organic matter in and out, and increase the amount of sufficient aeration in liquid fertilizer storage.

Modelling the Relationship between Air Pollution and Economic Growth in Somalia

Throughout human history, there has been a clear connection between pollution and the economy. However, the relationship between environmental harm and economic progress is complex, and disagreements between various academic disciplines have made it difficult to understand this phenomenon fully. A unit root test was conducted to gain more insight, which proposed the possibility of further empirical analysis. The Johansen cointegration method was also used to show a long-term connection between air pollution and economic growth. At the same time, the vector autoregressive model (VAR) indicated a short-term connection between the two. A Vector Error Correction Model (VECM) was then employed to estimate the relationship, and the findings confirmed the existence of the Environmental Kuznets Curve (EKC). The EKC demonstrates that economic growth has positive and negative effects on air pollution. The Granger causality test conducted in Somalia showed a causal link between economic growth and air pollution. The EKC model further supported this finding by demonstrating that economic growth has a statistically significant positive impact on greenhouse gas (GHG) emissions. This implies that Somalia has seen increased GHG emissions, leading to environmental degradation. Therefore, the Somali government must prioritise the implementation of a sustainable energy policy to improve air quality and prevent further environmental deterioration.

ASEAN Financing Climate Policy: The Effect of Fossil Fuel Subsidies on CPI and GHGs

Abstract The Association of Southeast Asian Nations (ASEAN) employs fossil fuel subsidies to promote economic development, although such action may have a negative effect on the environment. This study employs panel data analysis to examine whether ASEAN’s fossil fuel (oil, gas, coal, and electricity) subsidies decrease the consumer price index (CPI; Model 1) and, on the other hand, increase greenhouse gas emissions (GHGs; Model 2) from energy levels, using yearly data of five ASEAN countries from 2010 to 2021. The findings demonstrate that ASEAN’s fossil fuel subsidies for oil, gas, coal and electricity do not reduce the CPI and, therefore, cannot be interpreted as reducing inflation. In addition, there is no effect of gas and coal subsidies on GHGs. This might be due to the small average of the five ASEAN countries from 2010 to 2021 in terms of gas and coal subsidies. Following the expectation, oil subsidy, which is the highest amount on average (4,635.44 real 2021 million USD), has a strong positive effect on GHGs. However, electricity subsidy, which is the second highest amount on average (1,963.22 real 2021 million USD), has a significant negative effect on GHGs.

A Review on the Vertical Coordinate Systems used in Oceanic and Atmospheric Circulation Numerical Model

In a numerical method for the study of the circulation model, various vertical coordinate systems are used to simulate the physical response of the ocean and atmosphere to the increasing greenhouse gas emission. In this study, four types of vertical coordinate systems frequently used in oceanic and atmospheric circulation numerical models, i.e., height, general, pressure, and normalized vertical coordinate systems, respectively are introduced. Finally, the hydrostatic pressure equation, vertical velocity, equation of horizontal motion, and continuity equation expressed in a vertical coordinate system were introduced, and the pros and cons of the vertical coordinate system were summarized to promote the accuracy of numerical model development.