Reduction Of Environmental Pollution Research Articles

Green finance, energy structure, and environmental pollution: Evidence from a spatial econometric approach.

The adjustment of green finance and energy structure is gradually becoming a new engine that reduces environmental pollution in China. In this paper, the energy structure isintroduced in the process of discussing the impact of green finance on environmental pollution. We analyze the spatial correlation of green finance and study whether the adjustment of energy structure is affected by green finance and thus affects environmental pollution using a spatial econometric model. The results of empiricalanalysis show that green finance among provinces presents a significant spatial agglomeration, improving the green finance, and the energy structure can significantly reduce environmental pollution, and there are significant spatial spillover effects. There is inverted U-shaped relationship between energy structure and green finance in the national space, that is, after the green finance is raised to a certain extent, with the level of green finance once more, the energy structure will gradually improve, and then, green finance drives the reduction of environmental pollution by improving the energy structure. The results of the heterogeneity analysis show that compared with other regions, the improvement of the green finance in the eastern region has significantly improved the energy structure, and environmental pollution has also decreased every year.

Environmental credit constraints and pollution reduction: Evidence from China's blacklisting system for environmental fraud

Environmental performance-based credit mechanisms are among the tools policymakers can use to influence the polluting firms' behavior. In this study, we use China's blacklisting system for environmental fraud as a quasi-natural experiment to analyze the pollution-reducing effect of environmental credit constraints (ECCs). We operationalize our approach using a sample of 287 Chinese cities for the period 2008–2018 and find that ECCs help reduce emission intensity—a result that is both statistically significant and robust. Furthermore, our analysis suggests that ECCs can motivate producers to increase investment in technological innovation and optimize their factor allocation structure to improve green total factor productivity, thereby helping reduce their environmental impact. We demonstrate that the ECC-based schemes could be particularly effective in helping reduce pollution in regions with high enterprise credit dependence and relatively heavy presence of the manufacturing industry. In addition, these pollution-reducing effects are significant in regions with relatively strict environmental regulation. Hence, we argue that environmental credit systems could help policymakers provide polluting companies with additional incentives to voluntarily cut their emission levels and thus offer opportunities for diversifying the strategies policymakers can use to mitigate adverse environmental impacts.

Morpho-physiological and biochemical responses in wheat foliar sprayed with zinc-chitosan-salicylic acid nanoparticles during drought stress

Drought is considered as a significant stress that hampers growth, development as well as productivity of wheat crop around the globe. The present investigation was performed to determine the changes induced by drought on morpho-physiology, antioxidative system, metabolism and yield parameters in wheat crop. The study also focussed on evaluating the effect of zinc-chitosan-salicylic acid (ZCS) nanoparticles in alleviating physiological and biochemical alterations and overcoming yield losses caused by drought. Drought was provided during the vegetative stage on four different varieties (two drought tolerant viz. C-306 and PBW-644 and two drought susceptible viz. HUW-322 and HUW-843) by withholding irrigation and maintaining moisture capacity of soil at 40%. ZCS nanoparticles were foliar sprayed on wheat at concentrations of 100, 200 and 400 mg L−1. Application of ZCS nanoparticles at 100 mg L−1 significantly (p < 0.05) enhanced relative water content (RWC), alleviated levels of antioxidative enzymes like superoxide dismutase, ascorbate peroxidase, glutathione reductase and guaiacol peroxidase and metabolites like proline, ascorbate, malondialdehyde and flavanoid in wheat leaves subjected to drought. Drought recovery was noteworthy in tolerant as well as sensitive varieties. Water stress reduced grain yield / plant by nearly 45% in tolerant varieties and nearly 50% in sensitive varieties. Spray of the nanoparticles on wheat foliage incremented the yield to 63% and 41% in tolerant varieties and 50% and 46% in sensitive varieties. This study suggests an outstanding role of ZCS nanoparticles at a concentration of 100 mg L−1 in mitigation of ill effects of drought. These nanoparticles have the ability to improve osmotic status of plant, enhance synthesis of osmoprotectants, activate ROS scavenging enzymes for maintaining membrane integrity and cellular protection and promote yield increment during drought stress. This implicates its role in ensuring food security and sustainable agriculture with reduction in environmental pollution due to limited use of fertilizers.

Research on a Target Detection Method for Alternanthera Philoxeroides in the Rice Seedling Stage Based on Single-Shot Multibox Detector

Alternanthera philoxeroides, an invasive alien malignant weed, competes with rice for water, fertilizer, light, and growth space before seedling closure stages, which commonly stresses the growth of rice. Chemical herbicides are mainly used to control weeds. However, excessive use of chemical herbicides could lead to serious environmental pollution. With the rapid development of artificial intelligence and deep-learning techniques, it is possible to reduce the use of chemical herbicides by spraying herbicides on only precise regions of weeds in rice fields. To improve the accuracy of the model in identifying weed regions, in this study the performance among the you only look once (YOLO) series and single-shot multibox detector (SSD) one-stage target detection models, i.e., YOLOv3, YOLOv4-tiny, YOLOv5-s, and SSD target detection networks, is discussed. The experimental results showed that the SSD-based target detection model for Alternanthera philoxeroides was better than the YOLO series due to its higher recall, mAP (mean average precision), and F1 values, which reached 0.874, 0.942, and 0.881, respectively. Meanwhile, the target detection model based on SSD performed better than the YOLO series when dealing with mutual occlusion images between seedlings and Alternanthera philoxeroides. In conclusion, in this study a high-accuracy method is provided for detecting precise regions of Alternanthera philoxeroides by constructing a model based on SSD, contributing to the reduction of environmental pollution.

Methyl levulinate synthesis from rice husk employing e-waste derived silica supported nano CuO–CdSO4 photocatalyst: Assessment of production environmental impacts, engine performance and emissions

Applications of E-waste recovered silica (support) and copper citrate (precursor) for the synthesis of nano CuO–CdSO4 doped photocatalyst (NCCP) for subsequent employment in sustainable conversion of rice husk (RH) to drop-in biofuels viz. methyl levulinate (ML) have been explored. The prepared NCCP (low Eg = 2.0 eV) was employed for alcoholytic depolymerization (AD) to produce ML from holocellulose (HOC) extracted from RH through infrared assisted delignification. Taguchi orthogonal design predicted the optimal values of the AD viz. HOC: Water (1:5 w/w), NCCP concentration (1 wt%), HOC: methanol (1:30 w/w) and AD time (125 min) rendering 96.97% ML yield deploying combined ultrasonication-UV energies at 60 °C; saving 30% energy compared to conventional heating system. Noticeably, this is the first insightful investigation on the application of ML as a diesel additive demonstrating significant diminutions (25.92% and 83.33% for CO and HC) in harmful emissions. The LCA of the overall ML synthesis indicates remarkable reduction in environmental pollution with 63.63% and 66.66% mitigations in GWP and ecotoxicity respectively. Thus, a sustainable ML synthesis protocol encompassing the development of E-waste derived nanophotocatalyst through conversion of rice husk and its successful use as a diesel additive could be established.

Research on Wind Power Project Risk Management Based on Structural Equation and Catastrophe Theory

Wind power projects are a crucial step towards achieving the objectives of “carbon neutrality” and “carbon peak” because they can improve the energy crisis and contribute towards environmental pollution reduction. However, the risks of wind power projects cannot be ignored, and the success of the design phase can affect the risks and benefits of wind power projects throughout their life cycle. This paper first proposes causality hypotheses for four types of risk factors in wind power projects: policy, economy, technology, and construction. It constructs a structural equation model for wind power project risk factors and then tests and modifies the model. Then, based on the latent variables of policy, economy, technology, and construction, and the relevant explicit variables, the risk index evaluation system of the wind power project design phase is constructed. The risk assessment catastrophe model of wind power projects is further established, and it is used to evaluate the risk of the K wind power project in the design phase. The risk assessment can identify the overall risk and main risk sources in wind power projects in the design phase and provide countermeasures for effectively controlling risks in wind power projects in China.

Machine learning modeling for optimization of sulfur compounds separation from fuels: Process optimization for reduction of environmental pollution

Development of theoretical models for reduction of sulfur emission and also the material consumption is of great importance for petroleum refinery to obtain high-quality fuels. The latter can be done by employing advanced optimization techniques. In this study, we have developed a modeling methodology for optimization of petroleum refinery in fuel production. Some measured data have been collected for the modeling and computational optimization. Each data point is comprised of four input characteristics: reactor pressure (bar), reactor temperature (°C), initial sulfur concentration (ppm), and dose (g). Outputs for the modeling include sulfur concentration (ppm), emission (%), and HDS cost ($). For modeling, the Adaboost ensemble model is applied on top of the three fundamental models Linear Regression, Gaussian Process Regression, and Bayesian Ridge. On the available dataset, the models are tweaked using the grasshopper optimization algorithm (GOA) method, and then the optimal combination of models and parameters is selected for each output. For sulfur content and emission characteristics, the ADA-GPR model is the most accurate; however, the ADA-BRR algorithm performs the best for calculating the HDS cost. Using these models, the R2-score for outputs is 0.970, 0.950, and 0.999, respectively for sulfur concentration, emission percentage of SO2, and HDS cost.

The impact of micromobility on environmental pollution

Increased emissions of polluting materials and noise emissions by motor vehicles, contributing to the reduction of air quality and life of all residents. One of the possible solutions to the problem of environmental pollution in cities is the use of micromobility vehicles. Micromobility implies the use of small vehicles that have zero emissions and do not emit noise. The results of previous research indicate that the use of "micro" vehicles can significantly contribute to the reduction of environmental pollution, taking into account their characteristics and the type of drive they carry. Bearing in mind the above, the goal of this work is to analyze the impact of micromobility vehicles on the environment, as well as the analysis of factors that influence the acceptability of the use of this type of mobility by the public. The results of the research indicate that micromobility vehicles can have a significant potential in reducing environmental pollution, which can influence changes in modal shift. A comprehensive analysis of the impact of micromobility vehicles presented in the paper can be a useful basis for decision-making when defining a strategy for reducing environmental pollution.

The use of liquefied petroleum gas as fuel in tractor diesel engines

BACKGROUND: The use of liquefied petroleum gas (LPG) as alternative helps to eliminate a number of drawbacks related to fuel-air ratio. The high-priority problem is development of means and methods of reduction of environment pollution, specifically targeted researches in the field of alternative fuel with minimal harmful emissions into the environment, increase of availability of this technology by means of reducing the costs of adaptation of the fuel injection system of a diesel engine.&#x0D; AIMS: The main aim of the study is justification of parameters of the diesel engine operating according to gas-diesel cycle with the spark dose ignition.&#x0D; METHODS: The studies were carried out at the brake bench equipment of the MMZ D-243 diesel engine. The distributed liquefied petroleum gas (LPG) supply system with an ignition dose of diesel fuel was tested with automatic change of the gas supply angle and including exhaust gases in the intake manifold in the recycling system. Adaptation of the diesel engine to LPG allows the fuel injection system to operate in both diesel and gas-diesel mode, while the electronic regulation of the diesel fuel supply in the "diesel" mode occurs more accurately and helps to reduce the consumption and final combustion of diesel fuel in the exhaust manifold. The standard equipment for distributed LPG supply widely used for transferring gasoline engines with spark ignition is applied. The chosen domestically made electronic control unit was configured according to the methodology for controlling the gas supply in the cylinders developed in Federal Scientific Agroengineering Center VIM.&#x0D; RESULTS: The studies showed that the emission of pollutants into the atmosphere decreased in all operation modes of the engine in the gas-diesel mode and complies with the Euro-5 standard. Due to the 2,5 times lower price of LPG compared to diesel fuel, the cost of using LPG as a replacement for diesel fuel in the "gas diesel" mode is reduced by 2530% of the cost of agricultural crops. The use of LPG in gas-diesel engines reduces the cost of agricultural products by 1518%.&#x0D; CONCLUSIONS: These indicators confirm the relevance of scientific research in the development of the diesel engine adaptation system. The gas-diesel fuel injection system of the engine is the main effective way to reduce diesel fuel costs.

Environmental information disclosure and the investment-cash flow sensitivity

Purpose- In 2008 China issued the Measures for the Disclosure of Environmental Information. Using the introduction of this environmental policy, this paper examines how the environmental information disclosure quality affects a firm's access to capital markets. In particular, the relationship is investigated between the environmental disclosure quality and the investment-cash flow sensitivity, a measure of a firm's financial constraints, before and after the implementation of the policy. Methodology- The content analysis is used to construct the measure of environmental disclosure quality. First of all, the contents of both qualitative and quantitative environmental disclosures are analyzed with respect to the following ten areas reported in firms' annual reports: (1) corporate investment in environmental protection, (2) government financial support related to environmental control, (3) tax reductions related to environmental programs, (4) lawsuits, settlements, penalties, and rewards related to environmental protection, (5) emissions and pollution reduction implementation, (6) certifications of environmental programs, (7) firm environmental protection missions and goals, (8) firm environmental protection plans and strategies, (9) bank loans related to environmental protection, and (10) other environmental-related information. And then, different points are assigned based on the disclosure quality for each of the ten disclosure areas and aggregated to obtain an overall disclosure score. Univariate and regression tests are used to examine the relationship between environmental information disclosures and investment-cash flow sensitivity. Findings- A negative association is found between a firm's environmental disclosure quality and the investment-cash flow sensitivity after the policy was implemented, while no such association is found before the policy implementation. Furthermore, the observed reduction in investment-cash flow sensitivity tends to be stronger for firms in high-polluting industries. Conclusion- Given the environmental policies in emerging markets are often viewed with great doubts, our findings suggest that government environmental policy plays an important role in firm's access to capital markets. Keywords: Environmental information disclosure, investment-cash flow sensitivity, government policy, asymmetric information, financial constraints JEL Codes: G18, G30, G32

The Combined Use of Liquid Fertilizer and Urease/Nitrification Inhibitors on Maize Yield, Nitrogen Loss and Utilization in the Mollisol Region

Nitrification inhibitor (NI) and urease inhibitor (UI) with fertilizer have the potential to reduce nitrogen (N) loss as well as improve grain yields. Urea-ammonium nitrate (UAN) solution as liquid fertilizer is superior to conventional solid nitrogen (N) fertilizer in terms of fertilizer efficiency, energy savings, environmental pollution reduction and economic benefits. However, comprehensive assessments of UAN with inhibitors from an environmental and agronomy perspective, including insights into the mechanisms of UAN with inhibitors, are lacking. In a field trial, three single-inhibitor and two double-inhibitor (DI) treatments were set to quantify the grain yield, the N losses and the N recovery efficiency of maize treated with urea supplemented with dicyandiamide (DCD), 3,4-dimethylpyrazole phosphate (DMPP) and N-(n-butyl) thiophosphoric triamide (NBPT). Compared with the UAN treatment, the supply of urease inhibitors reduced NH3 emission by 13.0% but increased N2O emission by 13.0%. The supply of nitrification inhibitors delayed the conversion of ammonium N to nitrate N and improved NH3 emission by 23.5-28.7%, but reduced N2O emission by 31.4% and significantly increased the maize yield by 21.3%. The combined use of NBPT and DCD were not compatible in UAN and cannot achieve the maximum potential for optimizing yields and reducing nitrogen losses. Considering the grain yield, the N use efficiency and the N losses, the combined use of NBPT and DMPP in maize production system significantly improved the grain yield and N use efficiency, as well as reduced N losses.

Assessing the effect of real estate market and renewable energy on environmental quality in Belgium

AbstractThe current research aims to study the influence of the real estate market and renewable energy on ecological quality in Belgium from 1990 to 2018. The recent study is quite different from the previous empirical literature on environmental quality; it introduces a new discourse on the determinant of environmental quality followed by Belgium's real estate market. This work employed a more robust and advanced econometric technique, that is, the ARDL bootstrap method, to estimate the relationship between the study variables. The empirical findings from the ARDL stimulation revealed that real estate negatively impacts environmental quality in Belgium in the short and long‐run periods. The policy implications emanating from the findings suggest that the real estate sector can significantly promote environmental quality by adopting and using renewable energy in construction, design, and buildings. Subsequently, this will reduce waste, energy and carbon emissions within the environment and prioritise using safer and sustainable green‐enabled material for real estate development. Again to ensure regulation in the real estate market so that tax revenue generated through real estate would be channelled towards building clean and smart cities, also, ecological and regulatory control should be enforced in the real estate market to foresee the possible reduction in environmental pollution through pollution, this measure will guarantee a green real estate investment that will lead to a sustained environment.

Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction

In Singapore, there is an increasing need for independence from manpower within the Building and Construction (B&amp;C) Industry. Prefabricated Prefinished Volumetric Construction (PPVC) production is mainly driven by benefits in environmental pollution reduction, improved productivity, quality control, and customizability. However, overall cost savings have been counterbalanced by new cost drivers like modular precast moulds, transportation, hoisting, manufacturing &amp; holding yards, and supervision costs. The highly modular requirements for PPVC places additive manufacturing in an advantageous position, due to its high customizability, low volume manufacturing capabilities for a faster manufacturing response time, faster production changeovers, and lower inventory requirements. However, C3DP has only just begun to move away from its early-stage development, where there is a need to closely evaluate the process parameters across buildability, extrudability, and pumpability aspects. As many parameters have been identified as having considerable influence on C3DP processes, monitoring systems for feedback applications seem to be an inevitable step forward to automation in construction. This paper has presented a broad analysis of the challenges posed to C3DP and feedback systems, stressing the admission of process parameters to correct multiple modes of failure.

Greening China's Growth: Assessing the Synergistic Impact of Financial Development and Technological Innovation on Environmental Pollution Reduction-A Spatial STIRPAT Analysis.

To achieve sustainable economic development in China, it is crucial to balance economic growth and environmental protection. Financial capital and technology can contribute positively to environmental pollution control. This study employs the Cournot model to examine the impact of financial development and technological innovation on environmental pollution at the micro level. It utilizes the spatial STIRPAT model to analyze inter-provincial panel data from China between 2005 and 2020. The results show that China's ecological environment pollution exhibits significant spatial dependence, and heavily polluted areas tend to agglomerate. While improving financial development can increase regional environmental pressure, positive spatial spillover improves environmental quality in neighboring areas. Conversely, technological innovation reduces local ecological pressure, with negative spatial spillover effectively curbing environmental pollution in surrounding regions. The results support the environmental Kuznets curve (EKC) hypothesis, which posits an inverted U-shaped relationship between economic growth and environmental pressure, while population growth increases environmental pressure. The findings are robust and have important policy implications.

THE INFLUENCE OF THE CHANNEL BED RECTANGULAR CONFIGURATION ON SEDIMENT TRANSPORTATION

Sediment transport is the movement of organic and inorganic particles caused by gravity, a moving fluid’s force, the wind, and ice motion. Sediment deposition degrades dams’ safety, leading to environmental pollution and channel area reduction. This study describes the effect of the weir height and spacing of used and non-used rectangular configuration structures on sediment transport rates in an open channel. This project was created using a rectangular open channel (30 cm wide and 60 cm deep). A sharp-crested weir was installed in the channel, and the rectangular wooden configurations were fixed in specific locations on each weir to reduce the bedload transportation rate and sediment motion. The weir heights were different (0.25B, 0.35B, 0.45B, and 0.55B, where B is the channel width). Also, the spacing between the baffle blocks (S) was set to 4Y, 8Y, 12Y, and 16Y, where Y was the maximum water depth without installing blocks and weirs. The results showed that the maximum transported bedload for the lowest weir was 1.4 kg/min, but only 4.4 × 10-3 kg/min was transported for the weir 16.5-cm high with baffle blocks. Using long baffle blocks yielded a worse result than using no blocks. The sediment-transport rate increased to 1.66 kg/min for the 7.5-cm weir due to block configurations. In conclusion, the obtained result contradicts the predicted result, as using baffle blocks increased the sediment transportation rate.

How Does a Company’s ESG Performance Affect the Issuance of an Audit Opinion? The Moderating Role of Auditor Experience

Green economic development is a new growth point for China's economy. The reduction in environmental pollution and the practice of social responsibility are strongly advocated by society. ESG (environment, society, governance) is a new concept considering how companies achieve sustainable development. Do auditors pay attention to corporate ESG when making opinion decisions? This paper examines how ESG performance affects audit opinion decisions. The results show the following: (1) The better the ESG performance is, the lower the probability of a modified audit opinion on the part of the auditor will be. (2) Consideration of the auditor experience indicates that auditors who lack experience rely more heavily on information about a corporate ESG performance to make their opinion decisions. (3) The mechanism test demonstrated that a sound ESG performance improves the quality of its financial reporting, which, in turn, reduces the probability of the auditor issuing a modified audit opinion. These conclusions remain robust after considering a number of tests, such as changing variable measures and endogeneity issues. This research expands the study of the economic consequences of ESG from an audit perspective, providing new evidence regarding the importance that corporate management places on ESG performance and how market intermediaries use ESG information.

Digital economy and pollution reduction-Mechanism and regional heterogeneity.

The digital economy and ecological environment are two major issues related to high-quality economic development. Scholars have not yet reached a unified conclusion about the link between the digital economy and pollution emissions, and the impact mechanism of the former on the latter needs further study. Using data from 278 Chinese cities from 2010 to 2019, this research employs coupling coordination analysis, fixed effect analysis and mediation analysis to examine the heterogeneous impact mechanisms of the expansion of the digital economy on urban pollution reduction from many angles. It discovers that, first, the growth of the digital economy has decreased the discharge of urban pollutants overall. Second, the impact mechanisms of the digital economy are heterogeneous. From a regional perspective, industrial structure supererogation plays an intermediary role in the relationship between digital economy development and pollution reduction in the eastern and central regions, but the mediating effect is not significant in the western and northeastern regions. In terms of the city development level, industrial structure supererogation has significantly mediated the relationship between the growth of the digital economy and the reduction of pollution in first- and second-tier cities, but this mediating effect is not significant in third-tier and other cities. Third, the above conclusions are still valid after the robustness test is carried out using instrumental variable estimation, replacement of the estimation method, and replacement of explanatory variables. This study is a useful contribution to research on the effects of the digital economy and the factors influencing pollution reduction. The results advance the study of the digital economy and also have practical implications for improving China's ecological environment and fostering high-quality economic growth. Finally, we provide policy suggestions for the coordinated promotion of the digital economy's development, industrial structure supererogation and environmental pollution reduction.

Assessment of Transport, Natural and Climatic Factors Influence on the Level of Electric Buses Energy Consumption in Urban Environment

The paper considers the issue of expanding the use of electric buses when transporting passengers on regular urban routes, which contribute to a significant reduction in the overall environmental pollution by road transport. Legislative actsconfirming the state support for the development of this industry are analyzed. The results of driving cycles of electric buses AKСM-E321 [AKSM-E321] and AKСM-E433 [AKSM-E433] in Minsk, electric buses ЛиАЗ-6274.00 [LiAZ-6274.00] and КАМАЗ-6282 [KAMAZ-6282] in Tyumen and Moscow are presented. The correlation of the specific average monthly electricity consumption and the average monthly ambient temperature is revealed. It has been established that for Moscow, the most significant factor influencing the electric bus power consumption are transport conditions. The ambient air temperature was identified as a key factor for the city of Tyumen. The research results make it possible to plan the use of electric buses on various urban routes based on runs without recharging. This may allow us to develop recommendations for the use of the studied brands of electric buses on routes of a certain length and complexity.

Entomopathogenic fungi of the genus Cordyceps biotransform zearalenone - metabolomic and proteomic backgrounds

Zearalenone (ZEN) is a mycotoxin that poses risks to animals and humans. Its metabolism in humans is well understood, but its biotransformation by fungi that co-exist in soil with Fusarium is not yet elucidated. In this study, the ability of the commonly used biocontrol agent Cordyceps to eliminate ZEN was evaluated. Overall, 19 phase I and II derivatives of ZEN biotransformation by reduction, oxidation, sulfonation, glycosylation and glucuronidation were detected. Importantly, new metabolites of ZEN biotransformation by fungi were discovered. C. fumosorosea and C. farinosa bioconverted ZEN to its oxidized and sulfonated form. Additionally, C. fumosorosea biotransformed zearalenol, the reduced metabolite of ZEN, via oxidation and sulfonation. Mechanistically, cytochrome P450 of the Cordyceps spp. catalyzed the oxidation of ZEN and its metabolites. Sulfate adenylyltransferase and adenylyl-sulfate kinase were responsible for sulfonation in the ZEN biotransformation pathway in C. fumosorosea. Additionally, enzymes that may be involved in the glycosylation and reduction were determined by proteomic research. Moreover, ZEN was found to decrease the level of beauvericin in C. fumosorosea, which could lead to the reduction in environmental pollution with this compound.

Characteristic of Asphalt Mixture using Fly Ash and Bottom Ash Substitution in Reducing Environment Pollution

One of the waste materials produced by industry activities is fly ash and bottom ash (FABA), it is produced by brick combustion waste. Fly ash and bottom ash waste is hazardous and toxic (B3) waste for it contains heavy metal oxides polluting the environment. Related to the condition, the output study of toxicity potential test carried out to coal ash in Nagan Raya PLTU (Electric Steam Power Plant) proving conversely. The coal ash of Nagan Raya PLTU is relatively safe to be used as construction material. The output explained that coal ash of Nagan Raya PLTU have adequate good potency to be utilized. One of coal ash potencies developed is the utilization asphalt mixture material including bottom ash as fine aggregate substitution and fly ash as filler substitution. The research aimed to find out the mixture characteristic by utilizing FABA for the road pavement of asphalt concrete layer (AC-WC) to reduce environment pollution and detect the appropriate proportion for the optimal utilization. The percentage of fine aggregate in the mixture must meet the requirement of binder as 5-15% to the weight, while the filler must meet the minimum of 75% to weight of filter pass No. 200 (0.075 mm). The test output of both mixtures by using bottom ash and fly ashin 15%-30% variation was different. The output is similar. Both of the output concluded that the optimum asphalt level was 5% and the variation of 30% bottom ash : 70% fine aggregate meet the requirement specification, while variation fly ash as subtitution Portland cement resulting that all the parameters meet the specification required by Bina Marga specification 2018.