Environmental Risk Management Research Articles

Analyzing recent trends in deep-learning approaches: a review on urban environmental hazards and disaster studies for monitoring, management, and mitigation toward sustainability

Abstract Deep learning has changed the approach of urban environmental risk assessment and management. These methods enable solid models for large data sets, enabling early identification, prediction, and description of environmental risks. The current work analyses the advances in deep learning for urban environmental hazard assessments and disaster studies to provide monitoring, management, and mitigation measures. It reports the improvement in self-supervised learning, transformer architectures, persistent learning, attention mechanisms, adversarial robustness, associated learning, meta-learning, and multimodal learning within the domain of urban environmental hazard analysis. These approaches allow the creation of robust models for handling vast data volumes, facilitating early detection, prediction, and characterisation of diverse environmental threats. This trends analysis for urban applications will bring insights for connecting deep-learning models for effective and proactive approaches to tackle urban environmental hazards and disasters.

Unveiling Torrential Flood Dynamics: A Comprehensive Study of Spatio-Temporal Patterns in the Šumadija Region, Serbia

This paper presents a comprehensive analysis of flood frequency and a spatio-temporal characterization of historical torrential floods in the Šumadija region using water discharge datasets and documented events. A chronology of 344 recorded torrential flood events, spanning from 1929 to 2020, illustrates the region’s vulnerability, with a death toll exceeding 43. The study defines the intra-annual primary and secondary peaks of torrential flood occurrences and explains their spatial distribution. Furthermore, the identification of suitable probability distribution functions underscores the necessity of tailored approaches for effective flood risk management in this diverse geographical environment. The study employed Flood Frequency Analysis (FFA) and goodness-of-fit tests, including the Kolmogorov–Smirnov (K-S) and Cramér–von Mises (CvM) tests, to assess the frequency and magnitude of flood events and evaluate diverse distribution functions. The main results include the identification of suitable probability distribution functions for each river within the region, emphasizing the need for tailored approaches in flood risk management. Additionally, discharge values for various return periods offer crucial insights for informed decision-making in flood risk management and infrastructure planning.

Psychological Counseling Model Proposal for Reducing Violence in Emergency Services

Violence is destructive and abrasive for patients and their relatives as well as for healthcare workers. Violence, which leads to various emotional and physical injuries, job dissatisfaction, and absenteeism, causes fatal mistakes and has a negative impact on service quality. On the other hand, the patient and his relatives may be anxious, nervous, sensitive or inclined to show anger behavior due to the situation they are in. These summarized reasons can bring the healthcare worker and patient, who should be on the same side, and their relatives face to face. However, healthcare professionals and patients share a common goal and have to act together. Accordingly, it is thought that when the causes of violence are eliminated for both groups, violence will decrease to a large extent. In this context, efforts should be made to identify and eliminate the psychological and social reasons that lead people to act aggressively in order to prevent violence in the emergency room. The proposed model aims to build a bridge of compassion between healthcare workers and patients and their relatives, while also providing psychological support to healthcare workers and patients and their relatives, training healthcare workers in communication, compassion, empathy and emotion management, and teaching stress-reducing techniques to prevent violence in emergency services. Various search engines were used in the literature search. The search terms were determined as "violence in an emergency", "causes of violence", "prevention of violence" and "violence in health", but studies involving environmental risk management and security measures were excluded.

Trends in Sustainable Banking Practices: A Bibliometric Review of Green Financial Services and Risk Management Strategies

Sustainable banking practices and environmentally friendly financial services are becoming an increasing research focus in the modern financial era. This article performs a bibliometric review of trends and strategies in this domain. It was found that green finance concepts, such as green bonds and environmentally friendly banking practices, as well as the integration of financial technology (fintech), were in the main spotlight. However, the COVID-19 pandemic has also influenced green investment trends and environmental risk management strategies. In conclusion, this article highlights future challenges and opportunities, including the integration of fintech in green finance, green banking practices in various countries, and the contribution of the financial sector to achieving the Sustainable Development Goals (SDGs).

Hide away from implication: potential environmental reputation spillover and strategic concealment of supply chain partners’ identities

PurposeThis research investigates whether focal firms employ strategic supply chain information disclosure, focusing on the concealment of supplier and customer identities, as part of their supply chain environmental risk management strategies (supplier sustainability risk and customer loss risk, respectively).Design/methodology/approachUsing a panel dataset of Chinese listed firms from 2009 to 2019 and utilizing the suppliers’ environmental punishment of peer firms (peer events) as an exogenous shock and employing ordinary least squares (OLS) estimation, this study conducts a regression analysis to test how focal firms disclose the identities of their suppliers and customers.FindingsOur results indicate that focal firms prefer to hide the identities of their suppliers and customers following the environmental punishment of peer firms’ suppliers. In addition, supplier concentration weakens the effect of withholding supplier identities, whereas customer concentration strengthens the effect of hiding customer identities. Mechanism analysis shows that firms hide supplier identities to avoid their reputation being affected and hide customer identities to prevent the deterioration of customers’ reputations and thus impact their market share.Originality/valueOur study reveals that reputation spillover is another crucial factor in supply chain transparency. It is also pioneering in applying the anonymity theory to explain focal firms’ information disclosure strategy in supply chains.

ЭКОЛОГИЧЕСКИЕ РИСКИ В СИСТЕМЕ УСТОЙЧИВОГО РАЗВИТИЯ

The work is devoted to an urgent topic: accounting and prevention of possible environmental risks, as one of the conditions for the sustainable use and development of the Planet's land resources. The article examines possible environmental risks beyond the climate agenda related to the physical impact on the environment: emissions into the atmosphere, soil and water pollution, waste generation and negative effects on natural biodiversity. The paper attempts to analyze methods of environmental risk management in the development and implementation of projects in various areas of the economy, including in the land use system.

Improving Analytic Hierarchy Process inside the Analytic Group Decision-Making Approach Method with Two-Dimensional Cloud Model for Water Resource Pollution Risk Warning Evaluation: A Case Study in Shandong Province, China

This study proposes a water resource pollution risk warning evaluation method. Firstly, an evaluation system is constructed, consisting of 15 secondary indicators in four aspects: water quality, ecology, utilization protection, and water disasters. Then, an improved AGA-AHP method and coefficient of variation method are used to determine the weights of each indicator. Cloud models are employed to describe the characteristics of standard clouds and evaluation clouds, establishing a two-dimensional cloud model with risk probability and hazard level as variables. Taking a certain region in Shandong Province, China, as an example, the quantitative analysis results indicate that the water pollution risk level in the area is classified as Level IV, with particular attention needed for water quality and management indicators. Simultaneously, a series of measures such as source control, monitoring and early warning, emergency response, and public participation are proposed to further reduce the risk. The research findings demonstrate the following: (1) The establishment of a comprehensive indicator system for multidimensional assessment; (2) The combination of the AGA-AHP method and cloud model for quantitative analysis; (3) The practicality of the method validated through the case study; (4) Providing a basis for subsequent decision-making. This study provides new insights for water environmental risk management, but a further optimization of the model to enhance predictive capability is required when applied in practical scenarios. Nevertheless, the preliminary validation of this method’s application prospects in water resource risk monitoring has been achieved.

High pesticide tolerance of S. mansoni: implications for the risk of schistosomiasis

BackgroundSchistosomiasis is a neglected tropical disease caused by trematodes of the genus Schistosoma. The pathogen is transmitted via freshwater snails. These snails are highly tolerant to agricultural pesticides and indirectly benefit from exposure due to adverse effects on their more sensitive enemy species. Pesticides in surface waters may thus increase the risk of schistosomiasis transmission unless they also affect the pathogen. We tested the tolerance of the free-swimming life stages (miracidia and cercariae) of Schistosoma mansoni to the insecticides diazinon and imidacloprid. We also investigated whether these pesticides decrease the ability of miracidia to infect and further develop as sporocysts within the host snail Biomphalaria pfeifferi.ResultsExposure to imidacloprid for 6 and 12 h immobilized 50% of miracidia at 150 and 16 µg/L, respectively (nominal EC50); 50% of cercariae were immobilized at 403 and 284 µg/L. Diazinon immobilized 50% of miracidia at 51 and 21 µg/L after 6 and 12 h; 50% of cercariae were immobilized at 25 and 13 µg/L. The observed insecticide tolerance is lower than those of the host snail B. pfeifferi and comparable to those of other commonly tested freshwater invertebrates. Exposure for up to 6 h decreased the infectivity of miracidia at high sublethal concentrations (48.8 µg imidacloprid/L and 10.5 µg diazinon/L, i.e. 20–33% of EC50), but not at lower concentrations commonly observed in the field (4.88 µg imidacloprid/L and 1.05 µg diazinon/L). The development of sporocysts within the snail host was not affected at any of these test concentrations.ConclusionsInsecticides did not affect the performance of S. mansoni at environmentally relevant concentrations. Particularly within its host snail the pathogen can escape exposure peaks that have been shown to affect other sensitive invertebrates and their biological control of host snails. Our findings suggest that freshwater pollution with agricultural pesticides increases the risk of schistosomiasis; they illustrate the need to integrate an environmental and public health risk assessment and management.

Safe Health-Care Environment Advisory Program Counseling Experience Sharing

<p>文以醫療機構環境與基礎建設各系統現場訪視，採系統追蹤方式，從受訪2家醫療院所環境風險管理與火災風險辨識著手，以消防安全設施設備管理；各樓棟防火區劃完整度檢視；避難逃生路徑規劃與逃生方向指引；醫用氣體使用安全；危險物質儲存、使用、洩漏管理；用電與各機房環境安全及緊急災害應變措施機制等面向，重點檢視受輔導醫療機構設施設備與環境安全現況及安全脆弱點，提供醫療機構管理階層，提升病人就醫環境整體安全之參考。</p> <p> </p><p>This paper describes a systematic tracking approach for conducting on-site inspections at two medical facilities and assessing their institutional environments and infrastructure. The assessment centers on the management of environmental and fire risks, including overseeing fire safety facilities and equipment. The comprehensiveness of the fire zoning of individual buildings and the planning of and guidance to evacuation routes are evaluated. Also assessed are the safe use of medical gases, the management (including storage, use, and leakage) of hazardous substances, electrical safety, environmental safety in rooms with heavy machinery, disaster response, and emergency management. The primary objective is to scrutinize the safety vulnerabilities of the facilities and to critically evaluate the general environmental conditions at the two medical institutions, providing management teams with insights to enhance the safety of the health-care environment.</p> <p> </p>

Assessing regressive erosion effects: Unveiling riverside land use land cover changes post hydroelectric project construction

In Ecuador, the Coca Codo Sinclair Hydroelectric Project (CCSHP) provides 34 % of the country's energy demand. However, since its inauguration in 2016, regressive erosion in the Coca River has accelerated, causing the collapse of the San Rafael waterfall in 2020 and damage to oil and electricity infrastructure. This study aimed to assess the effects of regressive erosion along the Coca River through changes in land use and land cover (LULC) to identify the impact of CCSHP operations on migration, deposition, and river channel erosion during 2017–2021. The methodology includes: i) Creation of cloud-free mosaics with Sentinel-2 satellite imagery; ii) LULC classification LULC classification post-operation of the CCSHP (2017), before (2019) and after (2021) the San Rafael waterfall collapse, using the Random Forest algorithm; iii) Estimation of variations in the fluvial dynamics of the Coca River. The results showed that between 2017 and 2019, the extent of water bodies and bare soil increased by 258.58 ha (25 %) and 5195.45 ha (71 %), respectively. Meanwhile, between 2019 and 2021, the extent of sand deposits increased by 387.71 ha (42 %). These changes reflect an acceleration of regressive erosion since the construction and implementation of the CCSHP, information that can be used as an initial tool to analyze the impact of hydropower in the upper Amazon and strengthen environmental protection and risk management policies.

Implementation of international standards of risk management in ukrainian business environment: benefits and drawbacks

Introduction. Risk manageрment is an integral part of effective execution of any project. By applying international standards of risk management, project managers can improve the effectiveness of risk management in a project-oriented business, maximizing opportunities to achieve project goals and minimizing costs. The purpose of the paper is to clarify the essence of the concept of "risk management", to analyze the main international standards of risk management and to determine the main advantages and obstacles on the way to its implementation in Ukraine. Results. World experience and international risk management standards recommend that companies develop best practices, in particular, risk management policies and standards. Policies and standards are key elements that determine the consistency of risk management in a company. They are official documents developed and approved at the top management level. According to the risk management policy, companies must ensure the implementation of risk management to eliminate potential sources of non-compliance. A risk management standard describes how to assess risks and opportunities in an organization and the actions to be taken in response to identified risks and opportunities. The standard stipulates that all risks identified by company employees, regardless of their role or position, must be registered and assessed. Implementation of risk management systems at enterprises is one of the key elements of effective modern corporate management. Conclusion. The main advantage of implementing of international standards of risk management in the organizations is that they encourage companies to study their business processes in detail and focus on their constant optimization. However, it is worth noting that the implementation of international risk management standards in Ukraine has a multifaceted nature and faces a number of problems associated with the adaptation of these methods at domestic enterprises. It should be taken into account that the implementation of the risk management system will not bring immediate results. This process should be approached from the perspective of a long-term perspective and is aimed at achieving further competitive advantages in the future.

An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments.

Risks posed by environmental exposure to chemicals are routinely assessed to inform activities ranging from environmental status reporting to authorization and registration of chemicals for commercial uses. Environmental risk assessment generally relies on two key values generated from exposure data and ecotoxicity data. Data sets of measured concentrations of chemicals in environmental matrices, referred to here as exposure data, are widely used to support environmental risk management, decision-making, and reporting, such as for chemical screening, ecological or human health risk assessments, and establishment of guidelines. Practitioners have developed schemes to determine the suitability of ecotoxicity data for specific purposes, focused on evaluating reliability and relevance, but analogous schemes are not available for exposure data. Moreover, regulatory guidance arguably provides less resolution on reporting and evaluating exposure data sets compared to ecotoxicity data. The evaluation of exposure data sets is subject to limitations from variable or unreported data quality objectives and/or from differences in expert judgments, potentially introducing bias and leading to decisions based on flawed and/or inconsistent information. Exposure data sets should be evaluated for reliability and relevance prior to use in environmental assessments. This paper is the first of a four-paper series detailing the outcomes of a Society of Environmental Toxicology and Chemistry technical workshop that has developed Criteria for Reporting and Evaluating Exposure Datasets (CREED). The workshop participants developed practical, systematic criteria for consistent and transparent evaluation of the reliability (quality) and relevance (fitness for purpose) of exposure data. This guidance should apply to many different (unspecified) purposes of assessment. CREED can be used to evaluate existing data sets, but can also inform data generators interested in improving their data collection and reporting to maximize data utility to other users. This first paper details existing frameworks for the evaluation of exposure data sets and demonstrates the need for CREED, drawing from different regulatory assessments, and describes the technical workshop. Integr Environ Assess Manag 2024;20:975-980. © 2024 SETAC.

Determination of Bioavailability, Potential Ecological and Human Health Risks, and Biomonitoring of Potential Toxic Elements in Gold Mine Tailings from Four Areas of Antioquia, Colombia

Gold mining has helped many countries and regions grow and prosper. Yet, because of the significant environmental effects produced, waste management (mine tailings) has emerged as a crucial issue for the sector. In this study, the concentrations of several potential toxic elements (PTEs) (Fe, Zn, Cu, As, Hg, Pb, Cr, Cd, and Ni) in mine tailings from four gold mining operations (Yalí, Puerto Berrio, Buriticá 1, and Buriticá 2,) were quantified. A biomonitoring system has also been suggested, along with two environmental risk indexes for ecosystems and human health. To do this, composite samples of tailings were collected from the four regions. A PTEs analysis using an ICP-OES as well as physicochemical characterization (pH, electrical conductivity, cation exchange capacity, organic matter) have been performed. Indicators such as antioxidant activity and H2O2 content in Phaseolus vulgaris plants have been used to estimate the bioavailability of PTEs. In contrast to the pseudo-total concentration, the data showed that the bioavailable concentration of PTEs correlated with the risk. The ecological system and public health are more at risk from the mine tailings in Buriticá and Puerto Berrio. It has been demonstrated that P. vulgaris is a quick and effective technique to assess the danger to the environment and public health connected with mining regions, according to the suggested biomonitoring system. The findings of this study can assist the relevant authorities in taking quick action to improve environmental protection and risk management of hazardous waste in gold mining areas.

A review of data analytics techniques in enhancing environmental risk assessments in the U.S. Geology Sector

In an era where environmental risks pose significant challenges to the U.S. geology sector, this paper meticulously explores the integration of data analytics techniques to enhance risk assessments. The study delves into the intricate relationship between geological processes and human activities, underscoring the necessity for advanced analytical methodologies in mitigating environmental risks. The background sets the stage, highlighting the evolving perception of risk and sustainability in geological activities, and the critical role of reliable construction practices and engineering investigations. The aim of this paper is to synthesize and critically evaluate the current methodologies in data analytics, particularly their impact on reducing environmental risks associated with geological activities. The scope encompasses a detailed examination of the evolution from traditional to modern analytical methods, emphasizing the integration of predictive analytics, machine learning, big data, and Geographic Information Systems (GIS) in geological predictions and risk management. The main findings reveal a significant advancement in data analytics, marked by the integration of AI and machine learning with traditional geological methods. This fusion enhances the accuracy, efficiency, and comprehensiveness of risk assessments. The study concludes with recommendations for continued integration of advanced data analytics in geological studies, advocating for sustainable and responsible practices. It emphasizes the importance of international collaboration and harmonization of regulatory standards to enhance environmental risk assessments in geology. This paper provides valuable insights for researchers, policymakers, and practitioners in the field, offering a roadmap for future advancements in geological data analytics and environmental risk management.

Determination of the binding affinities of OPEs to integrin αvβ3 and elucidation of the underlying mechanisms via a competitive binding assay, pharmacophore modeling, molecular docking and QSAR modeling

Organophosphate esters (OPEs) can cause adverse biological effects through binding to integrin αvβ3. However, few studies have focused on the binding activity and mechanism of OPEs to integrin αvβ3. Herein, a comprehensive investigation of the mechanisms by which OPEs bind to integrin αvβ3 and determination of the binding affinity were conducted by in vitro and in silico approaches: competitive binding assay as well as pharmacophore, molecular docking and QSAR modeling. The results showed that all 18 OPEs exhibited binding activities to integrin αvβ3; moreover, hydrogen bonds were identified as crucial intermolecular interactions. In addition, essential factors, including the −P = O structure of OPEs, key amino acid residues and suitable cavity volume of integrin αvβ3, were identified to contribute to the formation of hydrogen bonds. Moreover, aryl-OPEs exhibited a lower binding activity with integrin αvβ3 than halogenated- and alkyl-OPEs. Ultimately, the QSAR model constructed in this study was effectively used to predict the binding affinity of OPEs to integrin αvβ3, and the results suggest that some OPEs might pose potential risks in aquatic environments. The results of this study comprehensively elucidated the binding mechanism of OPEs to integrin αvβ3, and supported the environmental risk management of these emerging pollutants.

Responsible Innovations as Tools for the Management of Financial Risks to Projects of High-Tech Companies for Their Sustainable Development

This paper is devoted to the resolution of the problem of risk management in a high-risk market environment. The goal of this paper was to study the experience of and prospects for the use of responsible innovations as tools for managing the financial risks of high-tech companies’ projects for their sustainable development (using the example of companies in Russia’s IT sphere in 2022–2023). We used the SEM method to study the daily statistics of the Moscow Exchange in 2022–2023. As a result, we quantitatively measured the financial risks of Russian companies in the IT sphere in 2022–2023. The studied case experience of the IT sphere in 2022 confirmed that Russian high-tech companies actively implement responsible innovations based on ESG projects. Our main conclusion is that the financial risks of high-tech companies are reduced in the case of the implementation of responsible innovations. Therefore, it is advisable to implement responsible innovations for the sustainable development of high-tech companies in a high-risk market environment. The theoretical significance of our conclusions lies in the substantiation of the synergetic effect of financial risk management with the help of responsible innovations. The scientific novelty and contribution of this paper to the literature consist in its clarifying the sectorial (in the IT sphere) and market (in a high-risk market environment) specifics of managing the financial risks to companies. We also disclosed a poorly studied and largely unknown unique and leading experience of managing the financial risks of Russian high-tech companies in 2022–2023. The practical significance of our recommendations is that the compiled scenario can be used as a strategic benchmark for the most complete development of the potential of the sustainable development of Russian high-tech companies in 2024.

A System for Individual Environmental Risk Assessment and Management with IoT Based on the Worker’s Health History

This paper presents a monitoring system to measure dust, noise, ultraviolet radiation, illuminance, temperature, and humidity and to check the presence of flammable gases—liquefied petroleum gas (LPG), propane, hydrogen, butane, methane, and carbon monoxide. The system is composed of monitoring devices, a server to process data received from the devices and that runs a web application for employers, and a mobile application for workers to check their exposure data. During employee registration, the health history of the worker concerning common diseases and symptoms related to the monitored agents must be informed. This information is analyzed through a set of predefined rules to generate alerts that the company can consider for planning professional activities to minimize exposure to risk agents. The tests presented in this work are focused on verifying the functionalities of the web interface for employee registration, especially regarding the provision of health information, the updating of this information, and the generation of corresponding alerts. At this stage, fictitious employee information was used. The results showed that the system adequately performs the proposed functionalities, and it was concluded that the solution is viable for testing in a work environment in the future stages of development. The innovative features of this study concern the correlation between workers’ health history and harmful agents to build suggestions and alerts to guide long-term OSH-related decisions.

Pollution and source-specific risk analysis of potentially toxic metals in urban soils of an oasis-tourist city in northwest China.

Source-specific risk apportionment for soil potentially toxic metals (PTMs) is of great significance for contamination prevention and risk management in urban environments. Eighty-five urban soil samples were obtained from an oasis-tourist city, China and examined for eight PTMs (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn). The pollution levels, sources, and ecological risk of soil PTMs were quantified, and their source-specific ecological and human health effects were also estimated using the multi-proxy approaches. The results demonstrated that accumulation of Cd, Hg, Pb, Cr, Cu, and Zn in soils was observed compared to their background levels, and the soils experienced varying degrees of PTMs pollution, especially at sites with high-intensity anthropogenic activities. Natural sources, atmospheric deposition, industrial sources, vehicular emissions, and comprehensive inputs were the principal sources, with contributions of 29.28%, 25.86%, 20.13%, 16.50%, and 8.23%, respectively. The integrated ecological risks of PTMs in soils were moderate at most sites, with atmospheric deposition being the dominant contributor to ecological risks. Children exhibited pronounced non-cancer risks, but adults had no notable non-cancer risks. Moreover, there were potential carcinogenic risks for both children and adults within the study region. Non-cancer and carcinogenic risks were more significant for children than adults, and traffic emissions were the primary contributor to non-cancer risks (adults: 20.53%, children: 20.49%) and carcinogenic risks (adults: 22.95%, children: 22.08%). The industrial and traffic activities were considered as priority control sources for soil pollution control and risk management, with Hg, Cd, Zn, and Pb corresponding to the priority elements. This study highlights the source-specific ecological and human health effects of PTMs pollution in urban soils, thereby providing valuable information for targeted pollution control and priority source management.

Impact of Green Credit Incentives on Operational Decisions of Green Supply Chain

Financial incentives have been introduced to guide financial institutions to increase green credit allocation, strengthen environmental risk management, and enhance support for green and low-carbon development. This paper investigated the government’s support for the carbon-emission supply chain by implementing green credit incentives. Two financial incentives are explored: performance-based incentives and interest subsidies. We conduct game-theoretic models to examine the characteristics and effects of two financial incentives on the supply chain. Our results reveal that: (1) both incentives are effective in scaling up supply chain performance and stimulate investment in emission reduction, while the mechanism differs according to the direct beneficiaries; (2) performance-based incentives are more sensitive to environmental damage, while the optimal subsidy ratio is more sensitive to consumer green awareness, indicating that the bank has an instinctive aversion to the risks inherent in abatement investments; (3) it is optimal for the government to intervene in green credit financing activities when environmental advantages and costs and consumer green consciousness are recognized. Our conclusions suggest the government can determine financial incentives for green credit based on the stage of green transition development and the real, demanding requirements of transition goals.

Оцінка системи управління екологічними ризиками відповідно до ESG-факторів

Changes in society's perception of environmental problems, social issues and the corporate governance system generate new risks associated with ESG factors (Environmental, Social, Governance). Taking into account the influence of ESG factors in risk management from a position not only as threat prevention, but also the company's ability to create long-term value is becoming more relevant than ever. The integration of accounting for ESG factors and issues of sustainable development into the strategy, corporate governance system, including the risk management system plays an important role in creating long-term value. Therefore, the risk management system becomes the foundation of sustainable development and the guarantee of achieving strategic goals. Paying attention to ESG factors helps the organization acquire competitive advantages and reach a new level of development. The object of research is the environmental risk management system. The subject of the study is the assessment of the environmental risk management system in accordance with ESG factors. The aim of the article is to study the environmental risk management system in accordance with ESG factors. Methods of analysis and synthesis, theoretical method, comparison method, analytical and prognostic methods were used during the work. The article covers environmental problems, social issues and corporate governance systems; the main stages of the influence of ESG factors in risk management are revealed. The authors came to the conclusion that in order to ensure sustainable development of the organization in the long run, it is necessary to take into account ESG factors when developing a long-term strategy with an assessment of their degree of influence on risks and opportunities. The key to successful activity is the creation of a comprehensive risk and opportunity management system in the company, integrated into the strategy of sustainable development. Identification and assessment of environmental risks is an important point regarding the organization's environmental policy, its goals, objectives and measures in the field of environmental protection. For the effective elimination or minimization of environmental risks, the formation and development of environmental risk management is necessary.