Environmental Compliance Research Articles

Digitalization and Automation and AI: A Theoretical Framework of rethinking the Pollution Haven Hypothesis

This theoretical paper investigates the impact of digitalization, automation, and artificial intelligence (AI) on environmental regulations, specifically through the lens of the Pollution Haven Hypothesis (PHH). It explores how these advancements influence pollution intensity and environmental compliance costs, challenging the traditional understanding of the PHH. Methodology. The study employs a Cobb-Douglas production function to model the relationship between technological innovations and environmental regulations. By integrating digitalization, automation, and AI into the model, the paper examines how these factors affect the economic incentives for firms to relocate to regions with lenient environmental standards. Findings. The analysis reveals that advancements in digitalization and automation reduce pollution intensity and lower the costs of complying with strict environmental standards. As a result, the economic incentive to relocate to pollution havens diminishes. In an open economy, the combination of stringent environmental policies and technological innovations leads to reduced pollution levels and a shift toward cleaner production processes. Practical Implication. The findings suggest that integrating technological innovations into environmental policy can make adherence to stricter regulations more economically viable, thereby weakening the appeal of pollution havens. This has significant implications for global sustainability efforts, as it highlights the potential for technology to support more effective and equitable environmental regulations. Originality. This study introduces a novel perspective by directly linking technological innovations to shifts in capital allocation and the efficacy of environmental policies. It offers a fresh understanding of the PHH in the context of modern advancements, providing new understanding into the relationship between innovation and environmental regulation.

Climate-driven shifts in freshwater biodiversity will impact mitigation costs for hydropower

Climate change is forecasted to drastically alter freshwater fish and mussel species distribution. Hydropower dam reservoirs, which modify downstream thermal regimes, may interact with climate change's impact on species distribution. This distribution shift may feedback, affecting hydropower operation costs through environmental compliance. We investigated how freshwater species distribution will shift due to climate change and hydropower reservoirs in the conterminous United States (CONUS), and how this will affect biodiversity mitigation costs for privately-owned hydropower plants. In general, using environmental niche modeling, we found that climate change increased the range of both freshwater fish and mussel species on average. For fish, this was mainly due to the expanded habitat for warm-water and cool-water fish species despite the diminish in habitat for cold-water species. Compared to climate change, thermal stratification of hydropower reservoirs had a small impact on the future range changes of these species in the tailwaters but showed an interaction with the effect of climate change on species range. Geographically, we projected an increase of species richness in the west and a decrease in the central and east of CONUS for fish, while projecting uniform increase for mussels. With this shift in species distribution, we estimated that the Northwest region will face the largest increase in mitigation cost, while the majority of plants in the Southeast will experience a decrease in cost.

Data Mining Virtual Contaminated Sites to Develop an Educational Learning Tool supported by a k-NN Machine Learning Predictive Algorithm for use in Environmental Engineering Education

Recent work by Mumford et al. used high-resolution numerical simulations of contaminated sites to evaluate the state of practice for contaminated site investigation1. These simulations were originally developed in collaboration with academic and industry partners, including the U.S. Department of Defense's Environmental Security Technology Certification Program (ESTCP), as a training tool for environmental monitoring and performance optimization. This project focuses on the development of an algorithm to determine available borehole information in those simulations based on user-input, to help leverage this work to create an educational tool. The algorithm begins by validating user-specified coordinates to ensure they fall within an acceptable range. Leveraging principles from linear algebra and a grid-based mapping system, it identifies the nearest existing borehole on a predefined coordinate grid. To optimize efficiency, the algorithm utilizes a 2-D array to store and retrieve coordinate data. It calculates distances from the input coordinates to all available borehole locations on the grid, to identify the shortest distance and select the closest borehole, enabling students to map contamination within virtual sites. In addition to boreholes, the application incorporates data for Membrane Interface Probes (MIPs), monitoring wells, groundwater samples, and soil samples that are used to investigate contaminated sites, providing a comprehensive tool for training environmental professionals. The k-nearest neighbors (k-NN) algorithm predicts Membrane Interface Probe (MIP) Photoionization Detector (ECD) readings at future locations, which indicate chlorinated contaminant levels. Two models were evaluated: one using spatial data and ECD values, and another incorporating electrical conductivity (EC) and hydraulic conductivity (K), which are also measured by MIP. By making use of additional parameters, variations in soil properties were better represented, leading to more accurate predictions. Through iterative testing and refinement, the tool’s accuracy and user-interface have been enhanced, ensuring robust reliability for classroom applications. These tools are slated for integration into 4th-year subsurface contamination courses at Queen's University, Carleton, and the University of Iowa. By automating borehole selection, instructors can interact more with students and dedicate less time to data processing tasks. The k-NN application will enable the use of machine learning for site assessment to optimize MIP instrument placement to reduce bias. Assistance from Cole Van De Ven (Carleton University) and Jessica Meyer (University of Iowa) in collecting virtual contaminated site data is gratefully acknowledged.

Navigating the Oil-environment Nexus: Saudi Arabia’s Challenge in Sustainable Development

This paper delves into Saudi Arabia's challenge of aligning its substantial oil production with environmental sustainability goals, particularly within the framework of Vision 2030. Utilizing an Autoregressive Distributed Lag (ARDL) approach, it examines data from 1980 to 2022, analyzing the relationships between oil production, economic growth, CO2 emissions, and environmental regulation compliance. The study highlights the intricate dynamics between oil-driven economic development and environmental conservation, revealing significant long-term correlations that underscore the environmental costs accompanying economic benefits derived from oil. These findings illuminate the delicate balance Saudi Arabia faces, pointing to the need for sustainable practices in the oil industry and diversified economic growth. The research provides strategic insights for policy formulation, aiming to harmonize economic prosperity with environmental health. This work contributes significantly to the discourse on sustainable development in resource-rich economies, offering a vital perspective on managing natural resources responsibly while pursuing economic growth.

Towards a Sustainable Future: Examining the Symmetric and Asymmetric Effect of Unstable Macroeconomic Factors on Initial Public Offerings Variability

The research seeks to explore the symmetric and asymmetric effects of renewable energy, technological innovation, and ecological footprint on the variability of initial public offerings in the unique institutional setting of the Pakistani IPO market. The study used yearly data on the Pakistani IPO market and the macroeconomic variables from January 1992 to December 2020. Further, the study employed the linear and Non-Linear ARDL to investigate the symmetric and asymmetric nexus among variables. For that purpose, the stationarity of the variables was predetermined using Augmented Dicker Fuller (ADF) and Phillips Perron (PP) unit root tests. Additionally, the F-bound test verifies that IPO issuance and macroeconomic drivers are co-integrated. The findings show a symmetric and asymmetric relationship between IPO variability and macroeconomic variables under study. Renewable energy and technological innovation have statistically positive effects on IPO variability. On the contrary, the ecological footprint has a significantly negative impact on IPO variability. The weak condition of the Pakistani IPO market could be attributed to the slow adoption of technological innovation, the transition to renewable energy, and a high ecological footprint that attracts stringent regulatory and environmental compliance costs of going public.

Geo-sustainability Challenges and Remediation Strategies: A GIS-based Assessment of Sripur Coalmine Areas, West Bengal, India

This study examines the health, risk, and safety aspects of coal mining in the Sripur area, focusing on the Bhanora West Block, Asansol, West Bengal, India as one of the 14 operational mines of Eastern Coalfields Limited in Asansol. The study addresses the increasing risks of accidents, fires, and subsidence in active, ageing, and closed mines and storage yards. The study’s incorporation of field surveys, satellite imagery, and environmental data ensures that the findings are based on a well-rounded and multi-faceted dataset. The satellite imagery data (GIS and Remote Sensing) are perceived along with available literature and environmental impact compliance reports from time to time, with particular interest in the Bhanora West coal mine, both open cast and underground. The aspect, Hill shade, LULC and stream order maps of the Damodar are generated using Q-GIS, 3.28.7. The environmental clearance data, accident data, subsidence area, and landslide data are analysed. A vast area in Sripur is observed to be under subsidence, with cracks appearing even near residential areas. The flow of the Nunia nallah is nearby, and old closed mines are not adequately backfilled, so the chance of seepage cannot be neglected though regularly attended. Pneumoconiosis (CWP), a lung disease (black lung), chronic obstructive pulmonary disease (COPD), and silicosis are common in Sripur due to dust and substandard water. Effective and riskless mining extractions using proper technologies can avoid mining hazards, such as subsidence, the influx of water in underground mines, health hazards, air/water pollution, mine fire, and intact physical landscape and observing criteria of sustainable Development Goal SDG-1 SDG-3, SDG-6, SDG 12, SDG-13, and SDG 16.

The Effect of Professional Social Norms on Corporate Environmental Compliance

While previous studies demonstrate the importance of social norms for explaining the pro-environmental behavior of individual consumers, very few studies examine the role of social norms in the context of businesses’ pro-environmental decisions. This study contributes to the rich social norm literature by exploring whether professional social norms influence the compliance decisions of regulated chemical manufacturing facilities. To this end, the empirical analysis uses data on major facilities regulated under the U.S. Clean Water Act to estimate the link from the compliance history of other major chemical manufacturing facilities operating in the same state to an individual facility’s current compliance decision. Using a fixed-effects model that includes a large set of confounding factors, we find a significant positive effect of other facilities’ compliance history: improvement in the average compliance history prompts the individual facility to increase its own performance. By controlling for other plausible channels that link facility’s compliance decisions, we interpret this relationship as reflecting descriptive professional norms. The relationship proves stronger for facilities that are either geographically or sectorally closer.

Potential reuse of fine sediment from hydroelectric dams and recycled concrete sand in road subgrades

Hydroelectric dams play a crucial role in power generation, water storage, and irrigation. However, their continuous operation has led to sediment accumulation, thereby reducing the water storage capacity and impacting the facility's life span. The aim of the current study is to assess the reuse potential of dredged fine sediment in the composition of road subgrades. Nine types of sediment from diverse hydroelectric dams are analyzed for their chemical, environmental, physical, and geotechnical properties. These sediments then were treated with quicklime and a slag-based hydraulic road binder (3% and 6%, respectively). The current investigation involves evaluating: Proctor parameters, the immediate bearing index, treatment ability, and the mechanical properties of the treated sediment. The results reveal that the properties of treated sediment differ from one mixture to another, thus, indicating that some mixtures meet the criteria outlined in the French Roadworks Guide, by virtue of their clay and organic matter contents. Moreover, the current study explores the impact of incorporating recycled concrete sand (RCS) as a granular corrector to enhance the reuse potential of the sediment in road subgrades. The current findings indicate that adding RCS significantly improves mixture properties, particularly mechanical characteristics, by reaching 1 MPa before 7 days of curing. These promising outcomes pave the way for more advanced road construction practices in ensuring environmental compliance and promoting an eco-friendly reuse of sediment.

Corporate Environmental Reporting: Do Firms Operating in Environmentally Sensitive Sectors Disclose Enough?

Corporate environmental disclosure has been increasing steadily as it is an essential factor for sustainable development. However, this factor seems to be insufficientl recognised within the Nigerian corporate world. The objective of this study is to assess the level of corporate sustainability disclosures in environmentally sensitive industries in Nigeria. This study is based on secondary data obtained from annual reports of firms listed on the Nigerian Exchange Group (NGX). Data used were collected from 45 sampled companies listed under 6 environmentally sensitive sectors for the 2021 financial year. Content analysis was applied to measure the level of environmental disclosures. The Environmental Disclosure Index (EDI) was prepared based on the Global Reporting Initiative (GRI) Standards. This research used independent sample t-test, analysis of variance, and the Kruskal-Wallis test as techniques of analysis. There were statistically significant differences in firms’ disclosure levels based on environmental certifications. The agriculture industry made the highest environmental disclosure, whereas the companies in the natural resources industry disclosed the least. It was found that companies revealed maximum information on their energy and environmental compliance initiatives, while there was inadequate information in other areas of environmental disclosure, such as supplier environmental assessment, effluents and wastes, and materials. The study provides implications for the strict adoption of a systematic reporting framework, especially for environmentally sensitive firms, while offering insights to guide policymakers, regulatory bodies, industry associations, and businesses in Nigeria to promote transparency and responsible environmental reporting.

Potential use of Environmental Management Plan for the Sustainability of Coastal Area and Resources

The potential use of Environmental Management Plans (EMPs) for the sustainability of coastal areas has demonstrated significant benefits in enhancing environmental protection, regulatory compliance, and stakeholder engagement. However, challenges such as data collection, monitoring, and the effectiveness of mitigation measures must be addressed to fully realize the potential of EMPs. By investing in baseline data, implementing robust monitoring and adaptive management practices, enhancing stakeholder engagement, integrating EMPs with broader management frameworks, and allocating adequate resources, the effectiveness and sustainability of EMPs can be significantly improved.

Balancing Tradition and Sustainability: A SWOT Analysis of Tempe SMEs in Sanan, Malang Amidst Environmental Challenges

This study explores the SWOT analysis of the Small and Medium Enterprises (SMEs) specializing in tempe production in Sanan, Malang. The analysis includes the impacts of environmental violations such as air and water pollution. A detailed rating and graphical analysis are provided to illustrate the findings. The study aims to identify the strengths, weaknesses, opportunities, and threats these SMEs face, focusing on their environmental compliance and its effects on their operations and community. The research employs a mixed-method approach, combining qualitative and quantitative data to offer a comprehensive view of the current situation and suggest actionable recommendations.

Power of photo-stress analysis in unravelling the mechanics of granular materials and its applications in interdisciplinary research

Granular materials, such as various grains and granulated powders, are essential in numerous industrial applications and natural processes, including the chemical, pharmaceutical, food, and materials processing industries. They also play a significant role in geotechnical phenomena like the shear-driven collapses of embankments and landslides, which can lead to extensive damage and disruptions. Despite a significant surge in research activities and advancements in discrete element modelling (DEM) tools since the late 1970s, understanding the mechanical characteristics of granular materials remains complex. Experimental techniques such as photo stress analysis (PSA), Nuclear Magnetic Resonance (NMR), and X-ray tomography (XRT) offer valuable insights, yet there is still a lack of detailed information on how granular materials respond mechanically at the microscale under various loading conditions. This knowledge gap affects industrial product quality, equipment safety, production efficiency, operational costs, environmental compliance, and overall safety. In this paper, we initially focus on our scientific contributions to the development of photo stress analysis (PSA) in unravelling the load-transmission characteristics of granular materials of varying sizes and structures (two-dimensional and quasi-three-dimensional) under different mechanical loading environments and applications. Where relevant, discrete element modelling (DEM) complements PSA to enhance our understanding of granular mechanics. We then present the application of PSA to selected key interdisciplinary areas from our recent work, demonstrating the power of PSA. Despite current challenges in applying PSA to three-dimensional granular systems, the results reported here significantly advance our fundamental understanding of the particle-scale and micromechanical characteristics in granular mechanics and particulate engineering. This work highlights the potential of PSA in addressing various inter- and multidisciplinary research problems in the future.

AI-based detection and identification of low-level nuclear waste: a comparative analysis

Ensuring environmental safety and regulatory compliance at Department of Energy (DOE) sites demands an efficient and reliable detection system for low-level nuclear waste (LLW). Unlike existing methods that rely on human effort, this paper explores the integration of computer vision algorithms to automate the identification of such waste across DOE facilities. We evaluate the effectiveness of multiple algorithms in classifying nuclear waste materials and their adaptability to newly emerging LLW. Our research introduces and implements five state-of-the-art computer vision models, each representing a different approach to the problem. Through rigorous experimentation and validation, we evaluate these algorithms based on performance, speed, and adaptability. The results reveal a noteworthy trade-off between detection performance and adaptability. YOLOv7 shows the best performance and requires the highest effort to detect new LLW. Conversely, OWL-ViT has lower performance than YOLOv7 and requires minimal effort to detect new LLW. The inference speed does not strongly correlate with performance or adaptability. These findings offer valuable insights into the strengths and limitations of current computer vision algorithms for LLW detection. Each developed model provides a specialized solution with distinct advantages and disadvantages, empowering DOE stakeholders to select the algorithm that aligns best with their specific needs.

Analysis, Assessment, and Mitigation of Stress Corrosion Cracking in Austenitic Stainless Steels in the Oil and Gas Sector: A Review

This comprehensive review examines the phenomena of stress corrosion cracking (SCC) and chloride-induced stress corrosion cracking (Cl-SCC) in materials commonly used in the oil and gas industry, with a focus on austenitic stainless steels. The study reveals that SCC initiation can occur at temperatures as low as 20 °C, while Cl-SCC propagation rates significantly increase above 60 °C, reaching up to 0.1 mm/day in environments with high chloride concentrations. Experimental methods such as Slow Strain Rate Tests (SSRTs), Small Punch Tests (SPTs), and Constant-Load Tests (CLTs) were employed to quantify the impacts of temperature, chloride concentration, and pH on SCC susceptibility. The results highlight the critical role of these factors in determining the susceptibility of materials to SCC. The review emphasizes the importance of implementing various mitigation strategies to prevent SCC, including the use of corrosion-resistant alloys, protective coatings, cathodic protection, and corrosion inhibitors. Additionally, regular monitoring using advanced sensor technologies capable of detecting early signs of SCC is crucial for preventing the onset of SCC. The study concludes with practical recommendations for enhancing infrastructure resilience through meticulous material selection, comprehensive environmental monitoring, and proactive maintenance strategies, aimed at safeguarding operational integrity and ensuring environmental compliance. The review underscores the significance of considering the interplay between mechanical stresses and corrosive environments in the selection and application of materials in the oil and gas industry. Low pH levels and high temperatures facilitate the rapid progression of SCC, with experimental results indicating that stainless steel forms passive films with more defects under these conditions, reducing corrosion resistance. This interplay highlights the need for a comprehensive understanding of the complex interactions between materials, environments, and mechanical stresses to ensure the long-term integrity of critical infrastructure.

Study on the motivation of enterprise greenwashing behavior based on the perspective of environmental commitment implementation

With the rapid economic growth, the issue of ecological environmental protection has been widely concerned by the public, and has triggered diversified discussions. As the main participants in social and economic activities, enterprises play a pivotal role in this issue, not only bearing social responsibility, but also playing a decisive role in environmental protection practices. In the context of consciously undertaking social responsibilities and responding to institutional requirements, enterprises often express their firm position and commitment to environmental protection and compliance with laws and regulations through information disclosure. In practice, some enterprises run counter to their environmental protection commitments, choosing to "low investment, high return" as the goal of greenwashing behavior. Taking Hegang as the research object, this paper summarizes the process of implementing environmental commitment as the result of the joint action of two factors: implementation ability and implementation motivation. Then, the paper analyzes the major environmental pollution cases of Hesteel, analyzes the motivation of Hesteel's greenwashing behavior from the perspective of the implementation ability and implementation motivation of environmental commitment, and finally puts forward corresponding suggestions for the shortcomings of the enterprise itself and external regulatory departments in preventing greenwashing behavior, in order to optimize the governance mechanism and improve regulatory efficiency.

Treatment of Textile Wastewater from Spinning Mill Using Electrocoagulation-Flocculation Process

Textile spinning mills generate wastewater containing high levels of pollutants such as suspended solids, dyes, oils, and organic compounds. This study investigates the electrocoagulation-flocculation (ECF) process as a sustainable treatment method. ECF combines electrocoagulation, where an electric current induces pollutant coagulation, and flocculation, which aggregates these pollutants for removal. Extensive lab experiments were conducted, analyzing setup, procedures, and results. The study found that ECF significantly reduced pollutants, achieving high removal efficiencies for suspended solids, COD, color, and oil/grease. Economic analysis confirmed ECF's cost- effectiveness over conventional methods. A case study demonstrated successful implementation, highlighting operational efficiency and environmental compliance. The paper concludes with recommendations for future research and industrial applications. Key Words: Electrocoagulation, Textile Wastewater, Sustainable Wastewater Treatment, Spinning Mill, Pollutant Removal

ОБЕСПЕЧЕНИИ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ КРИТИЧЕСКИ ВАЖНЫХ ОБЪЕКТОВ НА ОСНОВЕ МОДЕРНИЗАЦИИ ПРИРОДОЭКСПЛУАТИРУЮЩЕЙ ИНФРАСТРУКТУРЫ И РАЗВИТИЯ КОРПОРАТИВНЫХ ПРИРОДООХРАННЫХ СИСТЕМ

The article provides a study of economic security, both from doctrinal and practical points of view, on the economic activities of enterprises in the context of its interface with environmental standards established by Russian legislation. The essence of the basic concepts is revealed - “ecological safety” and “state of security”, which are the most important indicators of well-being in the environmental sphere and compliance with the conditions of long-term and comfortable living of humans and animals. Arguments are made in favor of the need for widespread implementation of environmental protection systems in order to increase the economic efficiency and safety of enterprises operating on a closed cycle principle, whose activities affect the ecological sphere and affect the environment, which is especially important for critical facilities in Russia. The conclusions formulated in the course of the study can be applied for further study and optimization of the processes of ensuring technological and environmental safety and increasing the economic security of enterprises, as well as critical infrastructure facilities in our country.

Corporate board diversity, environmental compliance, and occupational health and safety disclosure for achieving sustainable development goals in an emerging economy

Corporate board diversity, environmental compliance, and occupational health and safety disclosure for achieving sustainable development goals in an emerging economy

Green Packaging and Environmental Safety in Ghana’s Hospitality Industry: A Systematic Review

This study seeks to review on green packaging practices on environmental safety in Ghana’s hospitality industry. The reviewed studies adopted a cross-sectional study design. A systematic review was carried out with the aid of online research journal websites as well as other in-context articles. While conducting this study, the key words in the search query were directed towards the impact of green practices on environmental safety in Ghana. Areas noted in relation to this study was use of green practices in hotels. Therefore, there was linkage of papers pointing out the impact of green practices on environmental safety. The results revealed that, hotels fared well in environmental health but badly in eco-labeling and certification. At 34%, hotels supported sustainability. Results affect MDGs, volunteering, and environment. Hierarchical multiple regression demonstrated that hotel size, class, national hotel trade association engagement, and manager remuneration increased environmental performance. No performance improvement from global chain link. Many Ghanaian hotels provide green enhancements. Most municipal hotels affect the environment. Sustainability demands hotel personnel green management training. Based on observations and interviews, they promote resilience in solid and liquid waste management, renewable energy development, green designs, energy efficiency, water conservation, and green environmental regulatory compliance. Conclusion: The research shows that hotels are important to their communities' economies, but if we neglect their environmental impact, they may damage the ecosystem. There is a need for hotels that invest money into environmental audits or certification programs like eco-labels to get monetary recompense for their environmental efforts.

Sustainability within Aotearoa New Zealand’s aerospace sector: current state and implications for the future

ABSTRACT Aotearoa New Zealand's rapidly growing aerospace sector is still in its infancy, which presents us with the unique opportunity to incorporate sustainability as a key performance parameter from the outset. Through surveys and interviews with key stakeholder groups, we show that currently, the sector largely deprioritises environmental sustainability and compliance with Te Tiriti o Waitangi in favour of economic growth. Actors are not incentivised to consider any aspects of sustainability. While environmental concerns are acknowledged, they are often viewed as technical challenges to overcome by individual companies, rather than global systemic issues that require a collaborative approach. Moreover, the Government's role as a customer, investor and regulator creates a sustainability leadership vacuum, with no clear commitment to quantify or prioritise sustainability within the sector. The results highlight the need for a new approach to balance growth with genuine sustainable development principles using innovative governance models.Abbreviations: DPMC: Department of the Prime Minister and Cabinet; LCA: life cycle assessments; LCANZ: Life Cycle Association of New Zealand; LEO: low Earth orbit; MBIE: Ministry for Business, Innovation and Employment; NASA: National Aeronautics and Space Administration; NZ: New Zealand; NZSA: New Zealand Space Agency: U.S.: United States (of America)