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Petroleum hydrocarbons are naturally occurring flammable fossil fuels used as conventional energy sources. It has carcinogenic, mutagenic properties and is considered a hazardous pollutant. Soil contaminated with petroleum hydrocarbons adversely affects the properties of soil. This paper aim to remove pollutants from the environment is an urgent need of the hour to maintain the proper functioning of soil ecosystems.

The ability of micro-organisms to degrade petroleum hydrocarbons makes it possible to use these microorganisms to clean the environment from petroleum pollution. For preparing this review, research papers and review articles related to petroleum hydrocarbons degradation by micro-organisms were collected from journals and various search engines.

Various physical and chemical methods are used for remediation of petroleum hydrocarbons contaminants. However, these methods have several disadvantages. This paper will discuss a novel understanding of petroleum hydrocarbons degradation and how micro-organisms help in petroleum-contaminated soil restoration. Bioremediation is recognized as the most environment-friendly technique for remediation. The research studies demonstrated that bacterial consortium have high biodegradation rate of petroleum hydrocarbons ranging from 83% to 89%.

Proper management of petroleum hydrocarbons pollutants from the environment is necessary because of their toxicity effects on human and environmental health.

This paper discussed novel mechanisms adopted by bacteria for biodegradation of petroleum hydrocarbons, aerobic and anaerobic biodegradation pathways, genes and enzymes involved in petroleum hydrocarbons biodegradation.

Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.

In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.

Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.

The purpose of this paper is to explore the significance impact of air quality as a contributing factor on residential property rents by applying geo-informatics to economic issues. Since air pollution poses a severe health threat, city residents should have a right to know about the (invisible) hazards they are exposed to.

Within spatial-temporal modeling of air pollutants in Berlin, Germany, three interpolation techniques are tested. The most suitable one is selected to create seasonal maps for 2018 and 2021 with pollution concentrations for particulate matter values and nitrogen dioxide for each 1,000 m² cell within the administrative boundaries. Based on the evaluated pollution particulate matter values, which are used as additional variables for semi-parametric regressions the impact of the air quality on rents is estimated.

The findings reveal a compelling association between air quality and the economic aspect of the residential real estate market, with noteworthy implications for both tenants and property investors. The relationship between air pollution variables and rents is statistically significant. However, there is only a “willingness-to- pay” for low particulate matter values, but not for nitrogen dioxide concentrations. With good air quality, residents in Berlin are willing to pay a higher rent (3%).

These results suggest that a “marginal willingness-to-pay” occurs in a German city. The research underscores the multifaceted impact of air quality on the residential rental market in Berlin. The evidence supports the notion that a cleaner environment not only benefits human health and the planet but also contributes significantly to the economic bottom line of property investors.

The paper has a unique data engineering approach. It collects spatiotemporal data from network of state-certified measuring sites to create an index of air pollution. This spatial information is merged with residential listings. Afterward non-linear regression models are estimated.

Artificial intelligence (AI) models are demonstrating day by day that they can find long-term solutions to improve wastewater treatment efficiency. Artificial neural networks (ANNs) are one of the most important of these models, and they are increasingly being used to forecast water resource variables. The goal of this study was to create an ANN model to estimate the removal efficiency of biological oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP) and total suspended solids (TSS) at the effluent of various primary and secondary treatment methods in a wastewater treatment plant (WWTP).

The MATLAB App Designer model was used to generate the data set. Various combinations of wastewater quality data, such as temperature(T), TN, TP and hydraulic retention time (HRT) are used as inputs into the ANN to assess the degree of effect of each of these variables on BOD, TN, TP and TSS removal efficiency. Two of the models reflect two different types of primary treatment, while the other nine models represent different types of subsequent treatment. The ANN model’s findings are compared to the MATLAB App Designer model. For evaluating model performance, mean square error (MSE) and coefficient of determination statistics (R2) are utilized as comparative metrics.

For both training and testing, the R values for the ANN models were greater than 0.99. Based on the comparisons, it was discovered that the ANN model can be used to estimate the removal efficiency of BOD, TN, TP and TSS in WWTP and that the ANN model produces very similar and satisfying results to the APPDESIGNER model. The R-value (Correlation coefficient) of 0.9909 and the MSE of 5.962 indicate that the model is accurate. Because of the many benefits of the ANN models used in this study, it has a lot of potential as a general modeling tool for a range of other complicated process systems that are difficult to solve using conventional modeling techniques.

The objective of this study was to develop an ANN model that could be used to estimate the removal efficiency of pollutants such as BOD, TN, TP and TSS at the effluent of various primary and secondary treatment methods in a WWTP. In the future, the ANN could be used to design a new WWTP and forecast the removal efficiency of pollutants.

This study aims to investigate the external effect of the economic growth target pressure of local governments on establishment-level SO₂ emissions.

Based on manually collected panel data of 74,058 China's industrial establishments and more than 330 thousand observations from CIED and ESR, the authors use a firm-fixed effect model, instrumental variables estimation and heterogeneity tests to identify the environmental externality of economic growth target pressure.

The establishments in cities that meet or slightly exceed the economic growth target experience greater negative externality measured by SO₂ emission intensity. This external effect is more pronounced in regions: with a strict and overweighted target setting; with stronger officials' promotion incentives; with a low degree of marketization; and in firms with great economic importance. The authors identify the underlying mechanisms of dependence on dirty industry and the relaxation of environmental enforcement. And the environmental protection constraints in 2007 mitigate the negative externality.

The paper sheds light on to what extent economic growth target pressure has a negative externality of pollution in China and how this pressure may conflict with environmental protection.

This paper complements prior research on the economic effects of economic growth targets, expands the knowledge on the determinants of establishment-level pollution emission from the perspective of target pressure and provides insight into the environmental externality that results from political factors.

In confronting the challenge of climate change and progressing towards dual carbon goals, China is actively implementing low-carbon city pilot policy. This paper aims to focus on the potential impact of this policy on enterprise green governance, aiming to promote the reduction and balance of carbon emissions.

Based on the panel data of China's large-scale industrial enterprises from 2007 to 2013, this paper uses the Difference-in-differences (DID) method to study the impact and path mechanism of the implementation of low-carbon city pilot policy on enterprise green governance. Heterogeneity analysis is used to compare the effects of low-carbon city pilot policy in different regions, different enterprises and different industries.

The low-carbon pilot can indeed effectively enhance corporate green governance, a conclusion that still holds after a series of robustness tests. The low-carbon city pilot policy mainly enhances enterprise green governance through two paths: an industrial structure upgrade and enterprise energy consumption, and it improves green governance by reducing enterprise energy consumption through industrial structure upgrade. The impact of low-carbon city pilot policy on enterprise green governance shows significant differences across different regions, different enterprises and different industries.

This paper examines the impact of low-carbon city pilot policy on enterprise green governance. However, due to availability of data, there are still some limitations to be further tackled. The parallel trend test in this paper shows that the pilot policy has a significant positive effect on the green governance of enterprises. However, due to serious lack of data in some years, the authors only selected the enterprise data of a shorter period as our experimental data, which leads the results to still have certain deficiencies. For the verification of the impact mechanism, the conclusions obtained in this paper are relatively limited. Although all the mechanism tests are passed, the reliability of the results still needs to be further tested through future data samples. In addition, as the pilot policy of low-carbon cities is still in progress, the policy can be tracked and analysed in the future as more data are disclosed, and further research can be carried out through dimensional expansion.

Low-carbon city pilot policy plays an important role in inducing the green governance of enterprises. Therefore, policy makers can continue to strengthen the construction of low-carbon city pilots by refining pilot experience, building typical cases, actively promoting pilot policy experience, expanding pilot scope and enhancing the implementation efficiency of pilot policy nationwide, which will contribute to the optimization and upgrading of the regional industrial structure at the urban level and will provide experience and reference for the synergistic implementation plan of pollution reduction and carbon reduction.

The impact of the low-carbon city pilot policy on enterprise green governance not only exists in two separate paths of urban industrial upgrading and enterprise energy consumption but also exists in a chain transmission path from macro to micro. The authors find that the effect value of each influence path is different, and there is an obvious leading influence path for the role of enterprise green governance. Therefore, in the process of implementing a low-carbon city pilot policy, policies should be designed specifically for different mechanisms. Moreover, complementing and coordinating several paths should be advocated to give full play to the green governance effect of enterprises brought by different paths and to further expand the scope of industries and enterprises where policies play a role.

To the best of the authors’ knowledge, for the first time, this paper connects macro mechanisms with micro mechanisms, discovering a macro-to-micro transmission mechanism in the process of low-carbon city pilot policy affecting enterprise green governance. That is, the low-carbon city pilot policy can facilitate industrial structure upgrading, resulting in reduced enterprise energy consumption, ultimately enhancing enterprise green governance.

Since the early 1990s, Brazil has adopted an experimental approach to environmental management. Its reforms continue to this day and have produced robust water-management policies. This article reveals the different positions, the power structures involved, and the result of the disputes and agreements concerning the social construction of legitimate environmental behaviour in jeans manufacturing.

Comparative case study. Data collection for this research started in 2017 and ended in 2020. The data were gathered by concentrating on a few cases in two clusters. The author visited public agencies, trade associations, and firms of all sizes and levels of specialization in the industry and conducted semi-structured interviews with them. The intention was to acquire systemic and deep knowledge of the local industry.

The article's findings demonstrate a divergence in typologies that reflects the ecological limits in the use of natural resources, law-enforcement policies, and firms' legal status. The article extends our understanding of the ability of organizations to respond to institutional pressures to become sustainable. This study's findings provide insights for policy design in times of increasingly catastrophic pollution in regions that are immersed in global competition.

The study focuses only on two industrial textile clusters in Brazil, which may not be representative of the wider industry in the country or in other regions. The findings may not be generalizable to other industries or locations with different ecological limits, legal frameworks, and firm structures.

The article's practical implications include the need for tailored regulatory frameworks, effective law enforcement policies, promoting a culture of environmental responsibility among businesses, and collaboration among stakeholders in promoting sustainability. Policymakers, regulators, and businesses in industrial textile clusters in Brazil and other regions facing similar ecological and regulatory challenges can use these insights to develop more effective policies and practices that balance economic growth with environmental sustainability.

State actors emerge as the most important stakeholder group in forging the upgrading of water-management systems and technology. The optimal solution to the problem is cross-institutional and multilevel collaboration and coalitions between the different authorities and organizations involved who need to pay due attention to the relevant ecological limits and social needs. Only when this multilevel collaboration is achieved and maintained will the state's agents be able to collaborate with industrial actors and society at large.

The article examines the various factors that influence water usage and analyses the dynamics of change in two distinct locations in an emerging market. It demonstrates that, despite the existence of the same regulatory framework in both locations, different outcomes can arise due to the construction of diverse coalitions between social actors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0154

This paper aims to study the application of high-tolerance and flexible indigenous bacteria and fungi, along with the co-metabolism in recycled paper and cardboard mill (RPCM) wastewater treatment (WWT).

The molecular characterization of isolated indigenous bacteria and fungi was performed by 16S rRNA and 18S rRNA gene sequencing, respectively. Glucose was used as a cometabolic substrate to enhance the bioremediation process.

The highest removal efficiency was achieved for both chemical oxygen demand (COD) and color [78% COD and 45% color removal by Pseudomonas aeruginosa RW-2 (MZ603673), as well as approximately 70% COD and 48% color removal by Geotrichum candidum RW-4 (ON024394)]. The corresponding percentages were higher in comparison with the efficiency obtained from the oxidation ditch unit in the full-scale RPCM WWT plant.

Indigenous P. aeruginosa RW-2 and G. candidum RW-4 demonstrated effective capability in RPCM WWT despite the highly toxic and low biodegradable nature, especially with the assistance of glucose.

This paper aims to evaluate the performance of the Mashhad No. 5 wastewater treatment plant (WWTP) using a combination of data mining (regression) algorithms and artificial neural networks.

In this research, the performance of WWTP located in Mashhad, Iran, has been evaluated using two data mining models, neural network and regression model.

The proposed model has the potential of implementing in other WWTPs in Iran or other countries.

The authors would also like to thank Mashhad No.5 WWTP for data access.

The ceramic tile chain can generate several environmental impacts, from raw material extraction to the production process, commercialization, consumption, maintenance and disposal. One of the open issues remaining in the literature on socially responsible supply chains, also known as responsible supply chains, is understanding how corporate social responsibility (CSR) practices are being implemented in ceramic tile companies in Brazil.

The method adopted is a multiple-case study. The authors conducted face-to-face interviews with six ceramic producers and a trade association. The authors also conducted eight interviews with specialists in the ceramic sector. They are two university professors, two class association representatives, one professional from a technological institute, two representatives of the inspection body and one supplier.

Companies perform on a compliance basis, manifesting a less proactive position when the subject is CSR. In addition, the CSR practices established by the companies are preferably aimed at reducing costs and risks and increasing reputation. Practices in terms of eco-design are linked to lowering costs and growing reputation, as seen from the reduction in the use of inputs and improvements in packaging to minimize costs. These practices improve the company’s reputation from the consumers' perspective. Environmental aspects are dominant due to the legislation.

This paper contributes theoretically since it identifies, from the companies' perspective, the CSR practices related to risk, cost reduction and reputation increase. There are also opportunities to be explored for facilitating their efforts towards a sustainable business model, especially considering the social dimension. From a managerial perspective, this paper provides some input for implementing CSR actions, mainly regarding their implications for society and local communities.

La cadena de revestimiento cerámico puede generar diversos impactos ambientales, desde la extracción de la materia prima hasta el proceso de producción, comercialización, consumo, mantenimiento y disposición. Una de las cuestiones abiertas que quedan en la literatura sobre cadenas de suministro socialmente responsables, también conocidas como cadenas de suministro responsables, es comprender cómo se están implementando prácticas de responsabilidad social empresarial en las empresas de revestimientos cerámicos en Brasil.

El método utilizado en el estudio es un estudio de casos múltiples. Realizamos entrevistas cara a cara con 6 productores de cerámica y una asociación comercial. También recibimos información de 8 especialistas representantes de organizaciones relacionadas con el sector cerámico; 2 profesores universitarios; 2 representantes de asociaciones de clase; 1 profesional de instituto tecnológico; 2 representantes del organismo de control; y 1 proveedor de esmaltes.

Las empresas actúan sobre la base del cumplimiento, manifestando una posición menos proactiva cuando el tema es la RSE. Además, las prácticas de RSC establecidas por las empresas están preferentemente encaminadas a la reducción de costes y riesgos y al aumento de la reputación. Las prácticas en materia de ecodiseño están esencialmente ligadas a la reducción de costos y al aumento de la reputación, a partir de la reducción en el uso de insumos y mejoras en los empaques para minimizar costos. Estas prácticas mejoran la reputación de la empresa desde la perspectiva de los consumidores. Los aspectos ambientales son dominantes debido a la legislación.

Este trabajo aporta teóricamente ya que identifica, desde la perspectiva de las empresas, las prácticas de RSE relacionadas con el riesgo, la reducción de costos y el aumento de la reputación. También hay oportunidades por explorar para facilitar sus esfuerzos hacia un modelo de negocio sostenible, especialmente teniendo en cuenta la dimensión social. Desde la perspectiva gerencial, este documento proporciona algunos insumos para la toma de decisiones sobre la implementación de acciones de RSE, principalmente en lo que respecta a las implicaciones para la sociedad y las comunidades locales.