Environmental Protection Goals Research Articles

The Impact of Environmental Regulation on Employment: A Review of Studies

In the context of green and low-carbon transition, there is an increasing number of studies on the impact of environmental regulation on employment, and this paper mainly analyzes the connotation of environmental regulation, tools, employment impact perspectives, and research shortcomings and suggestions. First, this paper discusses the definition of environmental regulation, analyzes the common measurement methods of environmental regulation, secondly, summarizes the main tools of environmental regulation, and thirdly, summarizes the various views of the academic community on the impact of environmental regulation on employment, including different theoretical explanations such as cost effect, innovation effect and uncertainty effect. Finally, this paper reviews the shortcomings of current research, and suggests that policy design should take into account the dual goals of environmental protection and employment promotion to achieve sustainable development.

The Relationship Between Carbon Emissions and Ecosystem Services in Guangdong Province, China: The Perspective of Ecological Function Zones

Ecosystem carbon sinks can offset part of the carbon emissions from human activities, playing a significant role in the carbon neutrality process. Clarifying the relationship between carbon emissions and ecosystem services is crucial for achieving the dual goals of carbon neutrality and ecological environmental protection. Effective ecosystem management is a prerequisite for controlling carbon emissions, as well as for ecosystem conservation and restoration, making a significant contribution to emission reduction and the enhancement of ecosystem services. Therefore, this study takes Guangdong Province as an example, starting with ecological functional zones—units that can enhance the effectiveness of ecosystem management—combining multi-source data and localized methods to develop annual carbon emissions (CEs) and ecosystem service value (ESV) data from 2000 to 2020, and reveals the spatiotemporal relationships between CEs and the ESV. The results showed the following from 2000 to 2020: (1) The net CEs increased from 203.73 to 482.80 million tons, representing an increase of 279.07 million tons, or 136.98%. The metropolitan residential security zone (MRSZ) was the dominant carbon source area, accounting for more than 60% of the total net CEs. (2) The total ESV gradually decreased from CNY 596.95 to 504.56 billion, representing a decline of CNY 92.39 billion, or 15.48%. The WCZ had the highest ESV, accounting for more than 50% of the total in all periods. (3) Temporally, the net CEs were negatively correlated with the total ESV in the study area, especially in the MRSZ, while a positive correlation was observed in the agricultural products provision zone (APZ). Spatially, the main clusters were Low–Low and High–Low clusters, primarily distributed in the APZ and MRSZ. This study explores and reveals the spatiotemporal relationship between CEs and the ESV, providing valuable references for related research in Guangdong Province and other regional comparative studies.

Exploring the progress and challenges of ultrasonic technology in environmental remediation

Amidst escalating environmental pollution due to accelerated industrialization and urbanization, there is an acute demand for effective and sustainable environmental remediation strategies. Ultrasonic technology, recognized for its green and efficient characteristics, has gained significant prominence in mitigating environmental pollution in aquatic, soil, and atmospheric ecosystems. The review provides a comprehensive analysis of the role of ultrasonic treatment in wastewater treatment, air quality improvement, and soil remediation. We systematically evaluate existing research to assess the effectiveness of ultrasonic technology in degrading pollutants and its potential for large-scale deployment. The review also examines the challenges associated with ultrasonic remediation, including optimizing operational parameters, enhancing energy transfer efficiency, and understanding the unique degradation mechanisms for various pollutants. Furthermore, we discuss environmental and safety considerations, along with the economic implications related to equipment costs and energy consumption. This review aims to contribute to the advancement of ultrasonic technology in environmental remediation by presenting a forward-looking perspective, aligning with the goals of environmental protection and sustainable development.

Energy Scheduling and Low-carbon and Water Conservation Optimization for Electricity-Heat-Cooling-Gas Multi-Region Integrated Energy System

As global demand for green and clean energy grows, integrated energy systems (IESs) capable of integrating renewable energy sources such as photovoltaics and wind power are considered as a key approach to solve the energy crisis. These systems can significantly improve energy efficiency and reduce the use of fossil fuels. This article proposes an energy dispatch and low-carbon optimization method for a multi-region electricity-heat-cooling-gas IES. The method considers traditional energy flows such as electricity and natural gas, while further introducing cooling and heating loads, energy storage technologies (e.g., battery storage and thermal storage), and demand response strategies to more comprehensively simulate the operational characteristics and interactions of energy systems across different regions. Through multi-region collaborative optimal scheduling, the IES achieves energy complementarity and balance between regions, and can flexibly respond to changes in different load demands, thereby enhancing the reliability and resilience of the system. Simulation results show that the proposed method not only improves energy utilization but also significantly reduces operating costs and carbon emissions. Especially with the integration of renewable energy sources, it effectively reduces greenhouse gas emissions, contributing to global environmental protection and sustainable development goals. In addition, by incorporating efficient water management strategies into the multi-region IES, the system further supports environmental protection through reduced water consumption, aligning with both energy and water conservation goals.

Integrated outcomes of large-scale ecological restoration projects on biodiversity–eco-environment–society in China

China has executed large-scale ecological restoration projects (ERPs) to meet the goals of environmental protection and economic development. Yet, the integrated outcomes of these projects on the biodiversity–eco-environment–society dimensions remain unclear, but when available could be insightful for adaptation and adjustments, particularly in this United Nations decade on Ecosystem Restoration (2021–2030). Based on multi-source data, we identified the categories and quantities of large-scale ERP implementation in the county-level. By comparing the time-series multiple factors of implemented vs unimplemented counties, we quantify the contributions and compare the relative effects of up to six different ERPs. Combining random forest, spatial autocorrelation, and network analysis, we explore the key factors that affect the contributions of ERPs. Here, we show that the triple dimensions in the low ERP group (regions implementing 0–2 projects) produced better outcomes than the high ERP group (regions implementing 3–5 projects) in relatively developed regions, while the high ERP group has more gains than the low ERP group in relatively less-developed regions. Notably, regional characteristics and different social assets mediate the ERP contributions, while human capital and financial capital have important roles. Overall, the ERPs generated positive contributions and could increase the network stability of multi-dimensions in relatively less-developed regions, but it may lead to imbalances in some factors (i.e., mammal species conservation, and human capital). To continue to minimize the negative effects from past, and to improve the returns of ERP policy and investments, more timely and adaptive management of ERPs are needed, especially in relatively less-developed regions.

Reaction mechanism study of calcium carbide residue with graphene oxide in aqueous environment: Adsorption properties and mechanical potentials

Graphene Oxide (GO) is widely used, but its hydrophilic properties make it difficult to remove once it enters water and soil environments. In this paper, the adsorption effect of calcium carbide residue (CCR) as adsorbent on GO was investigated through a series of adsorption tests. Adsorption thermodynamics, kinetics, isotherm models, and various characterization techniques were employed to explore the adsorption mechanism. Additionally, the study assessed CCR’s ability to stabilize GO-contaminated soils through unconfined compressive strength tests. The results showed that (1) at T = 303 K, with a pH of 11 and an initial GO concentration of 80 mg/L, CCR demonstrated excellent adsorption performance. (2) The adsorption process followed the Langmuir isotherm and a quasi-second-order kinetic model, indicating chemical adsorption with spontaneous heat adsorption. (3) CCR not only acts as an effective adsorbent for removing GO from wastewater but also has the potential to strengthen GO-contaminated soils. In addition, due to its favorable environmental benefits, this study has a wide range of potential applications in industrial fields such as wastewater treatment, air purification, and energy storage and conversion. This study not only proposes an effective method for removing graphene oxide from aqueous environments, but also provides a new idea for waste resource utilization, which helps to achieve the dual goals of environmental protection and resource reuse.

Impact of green human resource management on employees’ green behavior in hotels

The purpose of this study is to examine the influence of green human resource management (GHRM) on employees’ green behavior (EGB) in hotels in Vietnam. To fulfill social responsibility towards the environment, many organizations have been paying more attention to GHRM, thereby forming EGB. Especially in today's situation where global warming is increasing, “green” practices should be adopted by organizations, starting from the core of organizations—their human resources. The success of an organization's initiative to sustain environmental sustainability largely depends on promoting green behavior among employees. The study used a mixed method, incorporating qualitative feedback from previous studies, experts, and quantitative data from 556 employees working in hotels in Vietnam. Filtering was performed on the data to remove outliers and demonstrate statistical, confirmatory factor analysis, and structural equation modeling. The results show that GHRM activities such as green recruitment, green training and development, green job performance management and appraisal, and providing green compensation strongly influence EGB. Additionally, the study also indicates that EGB varies based on work experience and the type of hotel where they are employed. Hotels operating in the tourism industry have been paying more attention to GHRM, thereby forming EGB. In the tourism industry, hotels must ensure environmental protection goals more than ever. Developers and managers can utilize more development tactics to enhance GHRM and EGB.

«Зеленая» экономика в контексте международных инвестиционных соглашений

The matters of green economics within the framework of the environmental transformation of the energy sphere (the energy transition), reduction of the anthropogenic impact on the environment in the course of socioeconomic development, give investment opportunities for international business but at the same time pose specific systemic and structural challenges to investors, states that receive investments, researches and individuals that witness the consequences of the dynamic change of the environment in the contemporary conditions. The presented article studies the evolution of approaches to international law regulation of investment activities from the standpoint of solution of environmental protection and conservation tasks in order to analyze opportunities with regards to the named challenges. Such analysis is used as a basis to conclude that the historical and legal method of studying the problems in question gives an opportunity for a systemic and structural evaluation of the original prerequisites for the logic of development of the international law architecture of regulation of investment activities in respect of goals and tasks of publicly significant environmental protection and conservation interests including the sphere of green economics and minimization of negative consequences of the anthropogenic impact as a result of investment activities, and evaluate the logic and limits of application of international investment agreements to achieve the environmental protection and conservation goals.

The Levels of Government Environmental Attention and Enterprises’ Green Technological Innovation

This study utilizes data from listed companies on the Shanghai and Shenzhen stock exchanges from 2010 to 2023 and employs text analysis methods to investigate the impact of government environmental concerns on corporate green technology innovation and its underlying impact mechanisms. The empirical findings demonstrate that heightened government environmental concerns significantly foster corporate green technology innovation. This relationship remains robust across a series of sensitivity analyses. The impact mechanism analysis reveals that increased government environmental concern leads to a heightened intensity of environmental regulation, drives the intelligent transformation of enterprises, and enhances the implementation of corporate environmental strategies, collectively contributing to the improvement of corporate green technology innovation capabilities. Furthermore, the heterogeneity analysis indicates that the effect of government environmental concerns is more pronounced in state-owned enterprises, mature enterprises, and industries with lower pollution levels. This study underscores that the government’s intensified focus on environmental issues can effectively promote corporate green technology innovation, thereby promoting sustainable economic and social development and supporting the dual goals of environmental protection and economic growth.

Simplified efficiency calibration methods for scintillation detectors used in nuclear remediation

Our study introduces innovative methods to address waste reduction and enhance resource efficiency in nuclear cleanup processes. We focus on sustainable nuclear technology, aligning with goals for cleaner production and environmental protection. We developed two novel methods, termed “oversimplified” and “simplified,” for easily determining the photopeak efficiency of NaI(Tl) scintillation detectors. These methods, along with a “general” solution method, were validated with calibrated radioactive sources such as 241Am, 57Co, 133Ba, 137Cs, and 60Co, and were used to commission a NaI(Tl) scintillation detector system at Chalk River Laboratories (CRL) for nuclear remediation. The system demonstrated high accuracy, making it suitable for screening unstable isotopes at contaminated sites. This screening tool significantly reduces the number of soil samples requiring detailed characterization, thereby lowering operational costs. The NaI(Tl) detector system was calibrated for near-contact geometry, which is commonly used at CRLs. Detection limits were established for this configuration. By improving the efficiency calibration of scintillation detectors, our study advances sustainable nuclear remediation practices, promoting environmental sustainability and cleaner production processes.

Enhancing catalytic oxidation of benzene with Cu-Doped MnO2: Insights into structural defects and electronic modifications

The present research focuses on the role of copper (Cu) doping in enhancing the catalytic efficacy of manganese dioxide (α-MnO2) for benzene oxidation, a representative volatile organic compound (VOC). Despite the abundance and low cost of MnO2, its pristine form requires improvement for industrial VOC oxidation processes. Utilizing a range of characterization methods, the study reveals that Cu doping generates oxygen vacancies and increases the Mn3+ content within the catalyst structure, which are crucial for enhancing the adsorption and activation of reactants. The findings indicate that Cu-doped α-MnO2 exhibits superior catalytic activity and lower activation energy for benzene oxidation compared to the undoped counterpart. The electronic interactions induced by the doping of Cu and the effect on the catalytic process are demonstrated and discussed in depth. This work emphasizes the strategic importance of dopant optimization and contributes to the advancement of MnO2-based catalysts for environmental remediation, aligning with goals of environmental protection and human health safety.

Strategic dynamics of local governments in regional collaborative governance: An evolutionary game theory analysis of haze pollution response in the Fen-Wei Plain, China

Regional collaborative governance has become a key strategy for environmental protection, especially in reducing transboundary pollution transfer. This study, set against the backdrop of environmental governance in China's Fen-Wei Plain, employs evolutionary game theory to deeply analyze the strategic choices of local governments in managing haze pollution. We developed a model incorporating 14 key variables to systematically explore the emission reduction strategies of local governments under various policy environments. Through numerical simulations, we not only validate the effectiveness of the model but also focuses on how incentives and punishments from the central government influence the stability of local governments adopting a “strict enforcement” strategy. We find that appropriate incentives from the central government can significantly enhance the tendency of local governments to choose a “strict enforcement” strategy for emission reduction. Under certain conditions, whether adopting “strict enforcement” or “superficial enforcement,” both can lead to an Evolutionarily Stable Strategy (ESS). Moreover, the intensity of rewards and penalties from the central government and the benefits of collaborative governance by local governments are key factors determining the stability of strategies. Our findings underscore the importance of establishing performance-oriented incentive mechanisms, refining reward and punishment measures, and focusing on sustainable and adaptable governance strategies. The strategic recommendations provided by this study offer important guidance for balancing incentives and punishments, thereby stimulating local government enthusiasm for governance, which supports high-quality environmental protection and sustainable development goals.

An Immersive VR Training Scenario for Safe Methanol Bunkering in the Maritime Industry

Abstract The maritime industry, pivotal in global commerce, faces critical challenges in mitigating environmental impacts, especially greenhouse gas emissions. The International Maritime Organization (IMO) targets a substantial reduction in emissions by 2050, necessitating innovative approaches to fuel usage. Methanol, recognized for its lower carbon intensity, emerges as a viable alternative fuel. However, its flammability and toxicity introduce complex safety and operational demands. To address these challenges, we have developed a state-of-the-art Virtual Reality (VR) training program specifically for methanol bunkering operations. This training, utilizing Unity 3D and Meta Quest 2, offers a highly interactive and realistic experience. Trainees engage in a comprehensive simulation that covers the entire bunkering process, including safety checks, equipment handling, and emergency response protocols. The VR environment allows for dynamic adjustments by trainers, enhancing the realism and educational value of the scenario. Our program also includes an assessment component that evaluates the trainee’s performance across various metrics such as safety protocol adherence, decision-making, and situational awareness. The anticipated outcome of this VR training initiative is to significantly improve the preparedness of maritime personnel in handling alternative fuels, thereby supporting the industry’s transition towards sustainable practices and contributing to broader environmental protection goals.

Heritage Tourism Development Should Take Care of Industrial Heritage Protection: A Study on the Development Strategy of Industrial Heritage Tourism in Nanjing

The tourism development of industrial heritage is an effective way to activate cultural heritage and can provide new solutions for the renewal and protection of industrial heritage. This study focuses on the industrial heritage in Nanjing, aiming to explore its spatial distribution pattern, tourism development strategy, and sustainable development model. This study adopts a combination of quantitative and qualitative research methods. First, relevant information on 93 sites of industrial heritage type historic buildings in Nanjing is collected. Secondly, ArcGIS was used to visualize the evolution of industrial buildings and the spatial distribution of industrial heritage type historic buildings. Finally, the spatial analysis tools of ArcGIS and the accessibility analysis method in space syntax theory are superimposed to comprehensively analyze the spatial distribution pattern and traffic accessibility characteristics of Nanjing’s industrial heritage. The research results propose a specific plan to promote the value transformation of industrial heritage through tourism: based on the spatial distribution characteristics of Nanjing’s industrial heritage along the water system and traffic arteries, a tourist route of “multi-point, two-axis, one-center” is planned; the tourism development strategy of “point protrusion, linear links, and surface darning” is implemented; and a sustainable development model under the guidance of low-carbon environmental protection goals is explored. This study provides a reference for the protective development of industrial heritage and the expansion of tourism and opens up a new perspective for the regeneration and planning of other urban heritage.

The Importance of Capacity-Building in Watershed Groups: Lessons from the Hudson River Watershed, USA.

Municipalities face challenges meeting environmental protection and conservation goals due to a lack of resources, capacity, and political will. As a result, grassroots environmental organizations often emerge to help meet these challenges by filling gaps in governmental operation and structure. At the watershed scale, environmental organizations and groups are critical for effective watershed governance, often helping with collaboration as well as providing municipalities with additional support and resources. Despite the vital role environmental organizations and groups can play, they continue to face challenges such as insufficient resources, inconsistent leadership, and lack of organizational structure, thus limiting the contributions they can deliver. In this manuscript, we present case study research on watershed groups exploring their capacity to meet their mission and goals. Drawing from a needs assessment study conducted in the Hudson River watershed in 2019-2021, we found that while watershed groups are generally in need of technical resources, participation, and funding, our research suggests capacity (such as internal structure, strategic planning, and leadership) is most important for successful and sustainable groups. Therefore, we argue that support for capacity is more likely to help sustain groups and their long-term beneficial impact. To make this argument we present qualitative interview and focus group data to articulate watershed group goals, challenges, and needs, with an emphasis on capacity-related themes that emerged around expertise, leadership, structure, and planning. We then conclude with recommendations that can be applied to other watershed groups in the United States, and likely beyond.

Integrated farming optimization ensures high-yield crop production with decreased nitrogen leaching and improved soil fertility: The findings from a 12-year experimental study

Context or problemSustainable farming practices, including precision fertilization, water-saving irrigation and recycling of organic materials, have been implemented worldwide in recent decades to achieve high crop yields and minimize nonpoint source pollution. However, the comprehensive impacts of these agricultural practices have seldom been systematically evaluated in field production. As agricultural intensification started in the 1980s, most previous studies focused on a single practice in the context of low land productivity. Objective or research questionThe objective of this research is to investigate and evaluate how holistic farming practices affect both crop production and environmental quality. MethodsWe reported findings from a 12-year experiment (2008–2020) in the highly intensive North China Plain (NCP) farming region, and conventional and optimized farming measures were compared. Three field treatments with annual double cropping (winter wheat (Triticum aestivum L.) and summer maize (Zea mays L.)) were chosen in the study, i.e., control without nitrogen (N) application (CK), farmers’ conventional practices (CON), and optimized practices (OPT), were chosen for this study. ResultsCompared with the CON treatment, OPT reduced N fertilizer input by 41.4 % and irrigation water by 27.1 % but produced similar grain yields; OPT increased the N recovery efficiency (REN) and N utilization efficiency (NUT2E) by 90.4 % and 53.0 %, respectively; these values were much greater than the increases in REN (+56.1 %) and NUT2E (+25.5 %) when soil N change was not considered. Similarly, compared with those in the CON treatment, the soil N stock (0–60 cm) in the OPT treatment increased by 8.4 %, and the N loss via leaching, ammonia volatilization and N2O + NO + N2 decreased by 47.1 %, 11.4 % and 28.6 %, respectively. ConclusionsOur study revealed that the integration of optimized practices of organic material recycling, precision fertilization and water-saving irrigation substantially reduced N losses, mainly through decreased N leaching, but maintained fertilizer N in the root-zone soil layer, which is important for a sustainable and high-yield crop production. Implications or significancesThe dissemination of these optimized practices to other regions in China and beyond will be highly important for achieving the dual goals of food security and environmental protection.

Occupational hazards of crystalline silicon solar cell manufacturing industry

The wide use of crystalline silicon solar cells in the field of new energy is an important boost for China to achieve the environmental protection goal as soon as possible. However, the production and manufacturing processes of these cells give rise to various occupational hazards at workplace, thus posing health risks to workers. This review provided an overview of production processes of crystalline silicon solar cells, the characteristics of occupational health hazards (productive dust; physical factors, productive toxicant) and proposed occupational protection suggestions.

Jalan Terjal Gerakan Lingkungan Hidup Dalam Wujud Antagonisme Paradigmatik

Differences in forms and demands among various environmental movements in South Kalimantan, which are influenced by ideological streams, are the main obstacles in the formation of strong solidarity to achieve environmental protection goals. The research was conducted to produce a map of environmental movement streams and description of the dynamics of the environmental movement in South Kalimantan. The research used qualitative methods. Data collection techniques used observation, in-depth interviews and documentation. The results stated that there are 4 (four) streams that exist in the environmental movement in South Kalimantan, namely: institutional, functional, marxism and critical. Functional stream is the most dominating stream. Functional stream is reflected in several movements, namely Sahabat Bekantan, Borneo Urban Lab, Eco Enzyme Nusantara, Eco Fashion, Putik Bersih and WALHI South Kalimantan. There is an influence of the critical stream which is reflected in the Eco Fashion movement and the Putik Bersih movement. The influence of institutional stream is seen in the Save Meratus movement, XR Meratus, and WALHI South Kalimantan. Then, the WKR (Wilayah Kelola Rakyat) movement by WALHI South Kalimantan reflects the influence of marxism. The presence of new variants of the environmental movement in South Kalimantan has influenced the widespread understanding of environmental movement streams. Research shows that openness to various streams can strengthen the environmental movement. By combining different approaches, movements such as Putik Bersih, Save Meratus, and WALHI South Kalimantan have proven their ability to be more dynamic and responsive in facing complex environmental challenges. However, paradigm differences still hamper the birth of a collective struggle of the environmental movement in South Kalimantan.

Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems

Researchers are increasingly focusing on renewable energy due to its high reliability, energy independence, efficiency, and environmental benefits. This paper introduces a novel multi-objective framework for the short-term scheduling of microgrids (MGs), which addresses the conflicting objectives of minimizing operating expenses and reducing pollution emissions. The core contribution is the development of the Chaotic Self-Adaptive Sine Cosine Algorithm (CSASCA). This algorithm generates Pareto optimal solutions simultaneously, effectively balancing cost reduction and emission mitigation. The problem is formulated as a complex multi-objective optimization task with goals of cost reduction and environmental protection. To enhance decision-making within the algorithm, fuzzy logic is incorporated. The performance of CSASCA is evaluated across three scenarios: (1) PV and wind units operating at full power, (2) all units operating within specified limits with unrestricted utility power exchange, and (3) microgrid operation using only non-zero-emission energy sources. This third scenario highlights the algorithm’s efficacy in a challenging context not covered in prior research. Simulation results from these scenarios are compared with traditional Sine Cosine Algorithm (SCA) and other recent optimization methods using three test examples. The innovation of CSASCA lies in its chaotic self-adaptive mechanisms, which significantly enhance optimization performance. The integration of these mechanisms results in superior solutions for operation cost, emissions, and execution time. Specifically, CSASCA achieves optimal values of 590.45 €ct for cost and 337.28 kg for emissions in the first scenario, 98.203 €ct for cost and 406.204 kg for emissions in the second scenario, and 95.38 €ct for cost and 982.173 kg for emissions in the third scenario. Overall, CSASCA outperforms traditional SCA by offering enhanced exploration, improved convergence, effective constraint handling, and reduced parameter sensitivity, making it a powerful tool for solving multi-objective optimization problems like microgrid scheduling.

Deep learning-based state of charge estimation for electric vehicle batteries: Overcoming technological bottlenecks

This study presents a novel deep learning-based approach for the State of Charge (SOC) estimation of electric vehicle (EV) batteries, addressing critical challenges in battery management and enhancing EV efficiency. Unlike conventional methods, our research leverages a diverse dataset encompassing environmental factors (e.g., temperature, altitude), vehicle parameters (e.g., speed, throttle), and battery attributes (e.g., voltage, current, temperature) to train a sophisticated deep learning model. The key novelty of our approach lies in its integration of real-world driving data from a BMW i3 EV, enabling the model to capture the intricate dynamics affecting SOC with remarkable accuracy. We conducted 72 tests using actual driving trip data, which included 25 types of environmental variables, to validate the feasibility and effectiveness of our proposed model. The deep learning network, designed specifically for SOC estimation, outperformed traditional models by demonstrating superior accuracy and reliability in predicting SOC values. Our findings indicate a significant advancement in SOC estimation techniques, offering actionable insights for both policymakers and industry practitioners aimed at fostering energy conservation, carbon reduction, and the development of more efficient EVs. The study's major contribution is its demonstrated capability to improve SOC estimation accuracy by understanding the complex interrelationships among various influencing factors, thereby addressing a pivotal challenge in EV battery management. By employing cutting-edge deep learning techniques, this research not only marks a significant leap forward from traditional SOC estimation methods but also contributes to the broader goals of sustainable transportation and environmental protection.