Amount Of CO2 Emissions Research Articles

An Assessment of an Airline Company within the Scope of Circular Economy Based Waste Management

The rapid growth in the aviation sector has prompted the industry to act and develop new and sustainable business models due to the greenhouse gases and waste generated inherently by the sector. In this context, this study provides an assessment of identifiable areas and determinants of circular economy in an airline company, considering its environmental impacts. As a result of the assessment, it has been observed that the airline company conducts initiatives in reduction, reuse, and recycling, along with the management of cabin materials and waste segregation. Action plans are in place regarding the reduction, substitution, or elimination of single-use plastics in material selection. In order to mitigate both the environmental and economic impacts of paper consumption, the company is undertaking digitalization efforts within its business processes. The weight of aircraft is a crucial factor in the amount of fuel consumed and the quantity of CO2 emissions released. Therefore, airlines prefer to use lightweight materials inside the aircraft to reduce weight. Plastic catering materials are among these lightweight options. Unfortunately, due to the adverse environmental impacts of plastics, reducing their usage and, if possible, phasing them out are essential measures that airlines need to take. Consequently, the airline company under this study has removed the plastic outer packaging of the packaged materials used in the cabin. Furthermore, it continues its efforts to remove plastic materials used during catering services or replace them with biodegradable alternatives.

Reliable Cost-Efficient Integration of Pumped Hydro Storage in Islanded Hybrid Microgrid for Optimum Decarbonization

The employment of renewable energy-based resources is growing rapidly, necessitating the use of energy storage technologies to effectively manage their intermittent power generation. This study proposes an optimal planning for various distributed generators in a microgrid system. The objective is to size and operate a reliable hybrid islanded microgrid with minimum total system operational cost. To determine the optimal energy management and size of each unit, the problem is formulated applying Particle Swarm Optimization methodology utilizing sets of historical data such as wind speed, solar irradiation, and load demand on an hourly basis. With the proposed methodology, the capacities of photovoltaic, wind turbine, pumped hydro storage, and fuel cell are optimized as 1300 kW, 1125 kW, 400 kW, and 1590 kW, respectively. The obtained results concluded that optimum size reduces 14.85% and 22.6% in the fuel cell consumption in summer and fall respectively. Furthermore, the amount of CO2 emission is reduced by 10.6 ton in those mentioned seasons. The results obtained indicate that the proposed system having cost of energy (COE) of 0.2961 ($/kWh), and an excess energy of 196.208 MWh. An effectiveness analysis highlights the significant impact of incorporating pumped hydro storage, increasing the reliability index by 50.9%.

Development of Environmentally Friendly and Economical Flood-Prevention Stones Based on the Sediments of the Yellow River.

The deposition of Yellow River sediment in the middle and lower reaches is a significant factor in the siltation of reservoirs and the occurrence of serious flooding along the river. The efficient and valuable utilization of Yellow River sediment has already become a key research topic in this field. In this study, we have employed Yellow River sediment as the primary material, in conjunction with commercially available slag, fly ash, and quicklime as the binder, to develop a novel type of artificial flood-prevention stone. Following a 28-day standard curing procedure, the highest compressive strength of the prepared artificial stone was recorded at 4.29 MPa, with a value exceeding 0.7 MPa under wet conditions. The results demonstrated that the prepared artificial stone met the specifications for artificial flood-prevention stones. The curing mechanism, as evidenced by analyses from SEM and XRD testing, indicated that the alkali excitation process in the binder, which produced C-A-S-H gel, was the key factor in enhancing the compressive strength of the specimens. Notably, an evaluation of the amount of CO2 emissions and the cost of the artificial stone concluded that the preparation process was both environmentally friendly and cost-effective.

Grid Search Optimized Machine Learning based Modeling of CO2 Emissions Prediction from Cars for Sustainable Environment

Carbon emissions have increased dramatically because of industrialization, trapping heat in the atmosphere and hastening climate change. This is a serious threat to the wealth, security, and well-being of the world. The effects are extensive, ranging from severe weather, disease outbreaks, and economic disruption to food insecurity and water scarcity. The World Health Organization (WHO) has determined that climate change poses the greatest threat to public health in the twenty-first century. Thus, precise CO2 emissions have emerged as a crucial concern in recent times. Several studies have tried to forecast the amount CO2 from industry and power plant using statistical analysis. Efficiency, robustness and diverse application was the limitation of the study. In this study, we have proposed an AI based model that is able to predict the amounts of CO2 emissions from cars. We applied a grid search-optimized machine learning approach using the publicly available Canadian dataset. Incorporation of different statistical analyses and preprocessing techniques such as duplicate data management, outlier rejection, scaling contributed to enhance the quality of the dataset. Later, grid search techniques were applied to tune the KNN, RF, and SVR models. The approach has enhanced the performance of CO2 emissions prediction. In the study, we further used the explainability of the random forest model to check the bias and fairness of predictability. MSE, RMSE, and R-squared metrics of the proposed approach were the highest as the state of the art.

Effects of additives on compost quality and cbbL-containing autotrophic microbial community of watermelon straw composting

The amount of CO2 emission reflects the microbial activity in compost, but excessive emission can reduce humification degree of compost. Therefore, this study assessed the effects of superphosphate (SSP) and dicyandiamide (DCD) on CO2 emission, compost quality, and cbbL-containing autotrophic microbes (CCAM) community of watermelon straw composting. Results revealed that SSP and DCD promoted the compost maturity, but the DCD alone did not significant effect of the compost. Single DCD (T1) reduced CO2 emission by 7.02 % and increased humic acid content by 3.09 %. DCD+SSP (T2) resulted in a 15.26 % reduction in CO2 emission, a 9.13 % increase in humic acid content, and a significant increase in compost humification level. Furthermore, DCD+SSP improved the abundance and diversity of the CCAM (mainly Proteobacteria and Actinobacteria), improved the compost microenvironment and reduced carbon loss by 6.89 %. Redundancy analysis (RDA) showed that CCAM community had strong correlations with TOC (84.8 %). This study results provided theoretical and practical support for further exploring the carbon emission reduction in composting and promoting sustainable agricultural development.

Estimation of carbon stocks and CO2 emissions resulting from the forest destruction in West Kalimantan, Indonesia

The issue of climate change has become a global concern, and tropical regions are strategically positioned to mitigate its effects through their forest resources. By maintaining the function of forest ecosystems to support life at local and regional levels, carbon stocks can be maintained, and emissions can be reduced. Above-ground biomass can bind and store carbon stocks. This study aims to analyse the CO2 emissions caused by deforestation and forest degradation in Kubu Raya District, West Kalimantan Province. Primary data was obtained through field observations, and secondary data was obtained through maps of forest areas and land cover for 1996–2021 from the Geospatial Information Agency and the Indonesian Ministry of Environment and Forestry. This study uses a non-destructive approach to calculate Above Ground Biomass. The results showed that Kubu Raya District, West Kalimantan Province, Indonesia, experienced deforestation of 235,597 ha and forest degradation of 9,860 ha from 1990 to 2021. This resulted in CO2 emissions of 163,702,815.53 tons. The highest level of CO2 emissions is in Batu Ampar District, and the lowest is in Sungai Kakap District. There is a positive correlation between the amount of deforestation and forest degradation and the level of CO2 emissions caused by these activities. This means that the amount of CO2 emissions depends on the area's deforestation and forest degradation. To reduce the concentration of CO2 in the atmosphere and its effects on climate change, deforestation and forest degradation activities in Kubu Raya Kalimantan should be stopped.

The carbon footprint of a laparoscopic cholecystectomy.

Lay Summary Background Gallbladder removal is one of the most common surgical procedures worldwide. The keyhole operation treats patients with symptomatic gallstones. This procedure uses many single-use tools and results in a lot of waste. Before we can make this operation more sustainable, we need to assess the amount of waste and CO2 emissions. Aim The aim of this study was to identify the types of waste and measure the CO2 emissions created by a gallbladder removal. Method We collected waste from 15 gallbladder operations at three hospitals. We noted the medications used and measured the surgery duration to estimate electricity consumption. We also asked all the staff how they travelled to the hospital that day. Findings and Conclusion The operation produces about 56.5 kg of CO2. The main sources of CO2 are single-use tools, packaging materials and disposable drapes and gowns. This study helps us understand where most CO2 is produced, so we can work on reducing it more effectively.

Decarbonizing of power plants by ammonia co-firing: design, techno-economic, and life-cycle analyses

ABSTRACT This research investigates the decarbonization of India’s electricity grid using ammonia in power plants. It focuses on ammonia produced in Western Australia and transported to India, co-fired with high rank coal, and compared with power plants utilizing carbon capture and sequestration (CCS). The study assesses the overall costs and the life cycle greenhouse gas (LC GHG) emissions for both new plants and retrofits. For 20% gray, blue, and green ammonia, the levelized cost of electricity is 86, 89, 125 $/MWh, with corresponding LC GHG emissions of 1,234, 1,079, and 1,062 kg CO2e/MWh. Co-firing with green ammonia, though more expensive than blue ammonia, yields lower CO2 emissions. Conversely, reducing the same amount of direct CO2 emission via CCS costs $84/MWh and a LC GHG emission of 1,227 kg CO2e/MWh. While CCS is cheaper, it results in higher LC GHG. There is a trade-off between cost and emissions across the strategies. Under scenarios with low capacity factors or reduced ammonia production costs, coal-ammonia co-firing could become more economical and greener than the CCS. This study provides quantitative insights for policymakers and project developers. However, it is crucial for decision-makers to consider several factors: (1) the potential impact of social resistance to CCS; (2) the time required for large-scale commercialization of CCS technology, which is expected to be significantly longer than the implementation time for a coal-ammonia co-firing decarbonization strategy; (3) the potential of either CCS or ammonia-coal co-firing strategy to enhance India’s electricity mix, thus contributing to energy security.

Willingness-to-pay for low-carbon residential heating systems: A discrete choice experiment among Dutch households

Most studies on decarbonizing space and water heating focus on the potential of low-carbon heating technologies from a top-down perspective, while there has been limited research on consumer preferences for low-carbon heat. To address this gap, we conduct a discrete-choice experiment among 1797 individuals in the Netherlands to estimate the willingness-to-pay (WTP) for residential-heating systems. Our results from the latent-class logit (LCL) model indicate that, on average, Dutch households are willing to pay a premium on their current monthly energy bill of 33% for electricity and 29.4% for hydrogen relative to using gas for heat production, 15.3% for reducing the amount of CO2 emissions per kWh of heat with 100 g and 16% for having the option to switch between energy retailers. In contrast, they require a discount of 28.4% for district-heating systems relative to standalone home appliances. Additionally, the class-profiling analysis indicates that individuals with higher education and income levels in the Northern Netherlands have the highest WTP for low-carbon electricity and hydrogen. These findings suggest that policymakers should favor decentralized heating solutions over district-heating systems to facilitate an energy transition in the residential sector. If district-heating systems are implemented, combining them with electricity or hydrogen instead of natural gas is recommended to realize higher consumer welfare.

A Comprehensive analysis of energy, exergy, economic and environment on integrated solarcombined cycle with various HTFs and thermal storage

Energy and exergy analysis are considered as important tools for the thermodynamic assessment of any power plant. The utilization of solar energy in electricity generation is progressively increasing day by day due to various issues associated with conventional power plants. In recent times, solar systems in integration with conventional power plants have emerged as popular and optimal solution. The current integrated solar combined cycle (ISCC) involves integrating a 15 MW linear Fresnel reflector with the existing 328.10 MW combined cycle power plant situated in North India. The proposed study examined the thermodynamic performance (energy and exergy) of ISCC and cascade thermal storage. The exergy loss in solar system, combined cycle, and thermal storage is quantified, followed by a comparative analysis of the impact of integrating the solar system and thermal storage on the exergy loss within the combined cycle plant. The results indicate that the collector-receiver experience the highest exergy loss at 69.41%, which is further reduced by 1.82% and 3.39% by employing therminol oil and molten salt, respectively, in thermal storage within the solar system. Additionally, integration of solar system & thermal storage with conventional system showed improvement in second law efficiency. The overall exegetic efficiency of the power system is improved by 1.38% and 3.12% utilizing molten salt as HTF with two-tank system and cascade TES respectively. CO2 emissions are reduced by 97,020 tons per annum with molten salt, which serves as a superior HTF compared to water. Cascade TES systems reduce a greater amount of CO2 emissions compared to two-tank TES systems, amounting to 172,260 tons per annum.

Research into the Correlation between Carbon Emissions, Foreign Energy Investment, and China’s Financial Advancement

Carbon dioxide emissions are the primary driver of global climate change. This study aims to analyze the relationship between inward foreign direct investment in the energy sector and CO2 emissions in China versus other countries. For this, the co-integration methods were used. The results suggested that China should encourage the adoption of green technologies in order to reduce CO2 emissions and enforce strict environmental laws. Another necessary step is to stop the licensing of polluting industries that emit high amounts of CO2 emissions. The present findings can be used to develop state programs for environmental protection. Future research can examine the relationship of FDI in the energy sector with indicators other than pollution with CO2 emissions, for example, with the consumption of renewable energy sources.

Assessment of export-embodied CO2 emissions from China’s ocean industries: implications for formulating sustainable ocean policies

The ocean industries are characterized by being export-driven. The exports of ocean industries (hereafter termed ocean exports) caused environmental pollution with amounts of CO2 emissions and thereby affected climate change. There is a need, therefore, for accurate assessments of CO2 emissions embodied in ocean exports—which can help policymakers adopt targeted emission-reduction measures to formulate sustainable ocean policies. However, few studies of ocean-industry emissions considered impacts in sectoral and trade pattern heterogeneity, especially from export perspective. To fill this gap, we measured and evaluated the export-embodied CO2 emissions from China’s ocean industries, based on our newly developed high-resolution and comparable time-series environmentally extended input–output database, called EE-DPN-OEIOT. The results showed that China’s ocean exports generated 94.3 Mt of embodied CO2 emissions in 2017, with nearly 40% originating from processing ocean exports. Regarding the evolution from 2007 to 2017, the total export-embodied CO2 emissions from ocean industries decreased by 7.3%, while the embodied CO2 emissions in processing ocean exports increased by 50.1%. From 2007 to 2017, the decrease in carbon emission intensity was the major driving factor of the downturn in export-embodied CO2 emissions across the total ocean economy and for seven ocean subsectors (60%), while the export-scale effect primarily drove the increases in CO2 emissions. Moreover, there were disparities in the driving factors behind changes in embodied CO2 emissions between processing and non-processing ocean exports. Based on our findings, we proposed three recommendations from a trade perspective to facilitate low-carbon sustainable transition of China’s ocean economy, thus better fulfilling Sustainable Development Goal 14.

A green revolution in the making: integrating environmental performance and green finance for China’s sustainable development

Green finance initiatives are encouraged in the world to attain green economic milestones. Therefore, it is the centered area of research for the plethora of researchers across the globe. Instead of this significant transition to green finance, the study analyzed the Chinese data to explore the relationship between Green Finance, Green Technology innovation, and Environmental Performance from 2003 to 2022 in the Chinese context. We preferred the CS-ARDL and panel Quantile regression models for exploring our hypothesis and to examine the relationship of these variables. Our results validated that both green finance and green technology innovation have positive effects in both the long-term and short-term on the environmental performance in numerous Chinese cities. The statistical results showed that Green Finance and Green technology innovation reduce the amount of CO2 emission. Hence our results confirmed that both Green Finance and green technology innovations are significantly contributing to the environmental quality of China as the selected cities considered for the study investigation are considerably more driven towards green initiatives. This research also discussed the potential for implementing policy interventions in the future to leverage the adoption of green technology and make a significant impact on the world’s environmental quality as China is the biggest emitter of CO2 emissions. The study places and puts forward valuable insights to the regulatory bodies that would likely help them in achieving sustainable milestones and would contribute to their long-term strategic landscape for the attainment of environmental objectives and heights.

Multi response optimization of recycled aggregate based alkali-activated concrete using Taguchi-Grey Relational Analysis Method

The use of cement in construction causes large amounts of CO2 emissions into the atmosphere. Moreover, the use of large amounts of natural coarse aggregate causes environmental damage, and the availability of such natural aggregate is also depleting. The present experimental study explores and optimizes the impact of various parameters on the fresh, mechanical, and durability properties of recycled waste concrete coarse aggregate (RWCA)-based geopolymer concrete (GPC) in combination with ground-granulated blast furnace slag (GGBFS) and fly ash (FA) using the Taguchi-Grey Relational Analysis Method (TGRAM). The coarse aggregates in GPC were fully replaced with RWCA produced by crushing waste concrete. The effects of FA inclusion (%), Na2SiO3/NaOH ratio (SS/SH), molarity of NaOH (SH), dosages of superplasticizer (%), and alkaline solution to binder (Al/Bi) ratio are investigated under ambient curing conditions. The obtained maximum compressive strength and split tensile strength along with minimum water absorption of GPC at 28 days were 67.90 MPa, 3.85 MPa and 2.92 % respectively. The microstructural studies of GPC having low, high, and optimal strength are carried out using XRD, FE-SEM, and EDAX analysis. These studies confirmed the presence of calcium-based hydration products such as CSH and N(C)ASH, which makes the matrix of optimized GPC more compact.

The Impact of Building Morphology on Energy Use Intensity of High-Rise Residential Clusters: A Case Study of Hangzhou, China

Building operations account for a large amount of energy use and CO2 emissions, and the morphology of buildings in residential clusters strongly impacts energy efficiency performance. However, little research has focused on the morphology and energy electricity usage of high-rise residential clusters in hot summer and cold winter (HSCW) regions. We investigated 96 residential clusters in Hangzhou, China, and established a corresponding morphology database. Additionally, we obtained annual electricity consumption for 16 of these residential clusters. With this database, we performed optimization of morphological parameters upon energy use intensity (EUI) using a genetic algorithm (GA). Specifically, the cooling, heating, and lighting EUIs of high-rise residential clusters were studied. After implementing the optimized morphological parameters, there was a reduction of up to 7.73% in EUI. According to regression analysis, the average aspect ratio was the most significant factor influencing EUI (r = −0.907), followed by floor area ratio (r = −0.755), average orientation (r = 0.502), and average number of floors (r = −0.453). These results indicate that a higher intensity of land development with a greater floor area ratio, average aspect ratio, and average number of floors can reduce total energy consumption. Additionally, we found that an average building orientation of southwest 15° (with respect to south) is optimal. The findings of this study can assist urban planners and designers in developing more sustainable residential clusters, leading to decreased energy costs and CO2 emissions.

Direct reduction of calcium carbonate by coupling with methane dry reforming using NiO/S-1 as catalyst

Thermal decomposition of carbonate is an important process in the production of cement, refractory materials, and steel. Nevertheless, this process requires high temperature and is always accompanied with large amounts of CO2 emission. To reduce the decomposition temperature and simultaneously mitigate CO2 emissions, direct reduction of carbonate under a reducing atmosphere has been proposed as a novel strategy. This work mainly investigated the feasibility of direct reduction of CaCO3 by CH4 in the presence of a highly dispersed NiO/S-1 catalyst. It was found that the introduction of a CH4 atmosphere without a catalyst had little promotion effect on CaCO3 decomposition (as compared to air atmosphere), and no notable conversion of CO2 was observed. However, the presence of a highly dispersed NiO/S-1 catalyst significantly decreased the decomposition temperature of CaCO3 in a CH4 atmosphere, and most of the carbon species in CaCO3 can be converted to CO. To gain a comprehensive understanding of CaCO3 reduction in CH4, the effects of reaction temperature, CH4 concentration, and NiO loading in the NiO/S-1 catalyst were systematically explored. With the best-performing catalyst, i.e., 7NiO/S-1, complete CaCO3 decomposition and approximate 90 % CH4/CO2 conversion can be achieved under the condition of 750 °C and 25 vol% CH4. Characterization results indicated that the CaO particles obtained in the CH4 reducing atmosphere exhibited a more porous structure compared to that attained in air, due to the more intensive CaCO3 decomposition in CH4. Further data analysis revealed that reverse water-gas shift reaction also contributed to CO2 conversion during the reduction of CaCO3 in CH4. The findings obtained in this research can provide new perspectives for CO2 emission control and energy saving in traditional heavy-emission and high energy consumption industries.

Effect of momentum flow ratio on entrainment of a confined coaxial jet in a co-flow

Iron ore pellet production processes produce large amounts of CO2 emissions when burning fossil fuels. One example is the grate-kiln process, where normally a coal flame is used to indurate pellets. To mitigate the emissions, coal used in rotary kilns can be replaced with for example hydrogen. However, the fuel is mixed with secondary process air, and replacing a solid fuel with a gaseous one changes the mixing characteristics. This demands different means of injecting the fuel. A coaxial jet can be used to control the mixing of fuel and secondary air, as well as the flow field. The aim is to control the mixing of hydrogen and secondary air to achieve a hydrogen flame that is similar to the reference coal flame. This study numerically investigates different coaxial jet configurations. Steady-state simulations of a simplified model of the real kiln are performed using a Reynolds Stress turbulence model. Results show that decreasing the momentum flow ratio between the outer and inner jet, M jet , to a certain value delays the spread of the hydrogen jet and thus gives a longer jet. Further decreasing this ratio gives an even longer jet, but has the side effect of producing recirculation of hydrogen.

RETRACTED: Decarbonizing progress: Exploring the nexus of renewable energy, digital economy, and economic development in South American countries

Examining the relationship between green energy, the digital economy, and economic advancement in eighteen South American nations, the study used the Principal Component Factor (PCF) approach. A Green Energy Transition Index (GETI) and a Digital Economy Index (DEI) were developed as a consequence of this study. Confirmation of the large influence of switching to green energy on economic development and environmental sustainability is provided by the research's use of Fixed Effect Panel Threshold Regression (FEPTR) analysis. In today's global industrial value chain, hydrocarbons are the main source of energy. As a result, it hastened the decarburization of the world energy system to lower the noteworthy quantities of CO2 emissions from these sources. All quantile groups' economic development is strongly impacted by the digital economy and the move to green energy, according to the Methodology of instants of quantile regression (MMQR). The only element that positively impacts environmental sustainability across all quantile groups is the switch to Green energy. Reducing CO2 emissions and increasing economic development are characteristics of the low-quantile group. While the median quantile group does see a decrease in carbon dioxide emissions, economic growth remains stagnant.

Sustainable Development of European Countries: The Climate Component

This article provides a cause-and-effect analysis of the impact of carbon emissions on climate change and on the sustainable development of European countries. Despite the consolidated efforts of the world community, the global amount of greenhouse gas emissions is not decreasing, leading to irreversible climate change. The objective of this paper is to explore Europe’s progress towards climate neutrality in the context of ensuring sustainable development and achieving the goals of the European Green Deal. The article aims to establish an econometric relationship between the amount of carbon emissions and the energy intensity of GDP based on statistical data from European countries, and using the example of Ukraine during a full-scale invasion to demonstrate factors that influence greenhouse-gas- emissions growth despite GDP. A significant aspect of this study is an analysis of data from 2012–2022, which indicates that Europe has reduced CO2 emissions and is successfully moving towards climate neutrality. Key efforts of EU countries in preventing climate change and transitioning to renewable energy sources are reflected in the context of the Green Deal. Based on econometric calculations, the direct relationship between the amount of carbon emissions and energy intensity of GDP in European countries was confirmed with a probability of 0.95. The obtained interdependence allows one to predict the amount of CO2 emissions based on known values of energy intensity of GDP during stable economic development. Special attention was paid to Ukraine and the increase in CO2 emissions due to the war. The authors concluded that the war disrupted the relationship between GDP and CO2 emissions, leading to a 23% increase in emissions in 2022. Overcoming the climate crisis and ensuring sustainable development requires a global decarbonisation strategy. However, effective climate policy is impossible without achieving peace.

Strain-rate-dependent performance of alkali-activated binder-based ultra-high strength concrete

Ultra-high performance concrete(UHPC) is a superior protective material in impact and blast resistance, but negatively influences the environment due to the large amount of cement consumption and CO2 emissions during the preparation process. Alkali-activated binders were invented as a promising alternative to Portland cement for preparing UHPC in a method that saves energy and emits less CO2. However, the strain-rate-dependent performance of alkali-activated binder-based ultra-high strength concrete (AAB-UHSC) is still unknown. Therefore, this work focused on the strain-rate-dependent performance, e.g., dynamic mechanical properties, energy absorption and failure patterns, of AAB-UHSC materials incorporated with different steel fiber contents, as well as the microdamage at different strain rates. The quasi-static compression test, split Hopkinson pressure bar test, the sieving test and the scanning electron microscope test were carried out. The results indicated that the AAB-UHSC material is a strain rate-dependent material, the different stress-strain curves corresponding to different failure patterns vary with the strain rate, and an obvious strain rate transition zone existed for different failure patterns, as did the energy for different failure patterns. Additionally, the addition of steel fibers could effectively enhance the dynamic macromechanical performance and reduce the microdamage. An impact toughness index suitable for AAB-UHSC was defined. Eventually, a modified ZWT dynamic constitutive model with a new damage evolution equation for the AAB-UHSC material was proposed, and results show that this model can well describe the stress-strain relationship of the AAB-UHSC under impact load.