Environmental Management Strategies Research Articles

Investigate the Role of Environmental NGOs in Global Sustainable Development and Environmental Governance

This paper explores the role of environmental NGOs in global ecological sustainability and environmental management through an empirical approach. Multiple case studies of environmental NGOs have demonstrated positive benefits in promoting environmental regulations, popularizing environmental knowledge, and guiding ecological conservation and restoration. Environmental NGOs around the world, with their public participation and advocacy of environmental protection, not only play an important role in safeguarding biodiversity and preventing environmental damage but also provide opportunities for the public to participate in environmental management. On this issue, this paper also has an in-depth discussion on the problems existing in environmental NGOs in many fields such as environmental education, financing, and implementation consistency, and is willing to provide suggestions for the further improvement of global environmental management strategies, and then promote the better realization of global sustainable development goals.

Male yaks adapt to heat stress with enhancement of immunomodulation, anti-oxidation, and blood oxygen delivery

Yaks adapt to extremely low temperatures, but they are more susceptible to heat stress (HS). The adaptive mechanisms with crucial plasma protein markers regulating the response to HS remain elusive. In this study, data-independent acquisition proteomics were used to evaluate the thermal adaptability under chronic HS and thermal-neutral conditions. As a result, yaks increased body temperatures and respiratory rates in response to HS. Eight differential proteins mainly related to vasodilatation were decreased by HS, but another four proteins associated with blood oxygen delivery were presented at higher levels. Complement and coagulation cascades pathway was activated by HS, and more proteins were upregulated to protect against inflammation and oxidative stress by higher levels of antioxidant proteins. It is likely that yaks react to HS with enhancement of immunomodulation, anti-oxidation, and blood oxygen delivery, which is conducive to taking appropriate environment and nutrition management strategies to get healthy and high-performing yaks in low-altitude regions during summer.

Urban environmental monitoring and health risk assessment introducing a fuzzy intelligent computing model.

To enhance the precision of evaluating the impact of urban environments on resident health, this study introduces a novel fuzzy intelligent computing model designed to address health risk concerns using multi-media environmental monitoring data. Three cities were selected for the study: Beijing (B City), Kunming (K City), and Wuxi (W City), representing high, low, and moderate pollution levels, respectively. The study employs a Fuzzy Inference System (FIS) as the chosen fuzzy intelligent computing model, synthesizing multi-media environmental monitoring data for the purpose of urban health risk assessment. (1) The model reliably estimates health risks across diverse cities and environmental conditions. (2) There is a positive correlation between PM2.5 concentrations and health risks, though the impact of noise levels varies by city. In cities B, K, and W, the respective correlation coefficients are 0.65, 0.55, and 0.7. (3) The Root Mean Square Error (RMSE) values for cities B, K, and W, are 0.0132, 0.0125, and 0.0118, respectively, indicating that the model has high accuracy. The R2 values for the three cities are 0.8963, 0.9127, and 0.9254, respectively, demonstrating the model's high explanatory power. The residual values for the three cities are 0.0087, 0.0075, and 0.0069, respectively, indicating small residuals and demonstrating robustness and adaptability. (4) The model's p-values for the Indoor Air Quality Index (IAQI), Thermal Comfort Index (TCI), and Noise Pollution Index (NPI) all satisfy p < 0.05 for the three cities, affirming the model's credibility in estimating health risks under varied urban environments. These results showcase the model's ability to adapt to diverse geographical conditions and aid in the accurate assessment of existing risks in urban settings. This study significantly advances environmental health risk assessment by integrating multidimensional data, enhancing the formulation of comprehensive environmental protection and health management strategies, and providing scientific support for sustainable urban planning.

Occurrence, distribution characteristics and exposure assessment of perchlorate in the environment in China

Recognizing the extent of perchlorate pollution in the environment is critical to preventing and mitigating potential perchlorate harm to human health. The presence and distribution of perchlorate in Chinese environmental matrixes (water, atmosphere, and soil) were systematically investigated and comprehensively analyzed, and cumulative perchlorate exposure at the regional level was assessed using a combined aggregate exposure pathway method. The results showed that perchlorate is ubiquitous in the environment of China with significant regional differences. The total perchlorate exposure levels in each region of China ranked as South China > Southwest China > East China > North China > Northeast China > Northwest China. Although the average exposure dose of 0.588 (95 %CI: 0.142 −1.914) μg/kg bw/day being lower than the reference dose of 0.70 μg/kg bw/day, it was observed that the intake of perchlorate in some regions exceed this reference dose. Oral ingestion was the primary route of perchlorate exposure (89.97–96.57 % of the total intake), followed by dermal contact (3.21–9.16 %) and respiratory inhalation. Food and drinking water were the main sources of total perchlorate intake, contributing 52.54 % and 31.12 % respectively, with the latter contributing significantly more in southern China than in northern China. In addition, perchlorate exposure from dust sources was also noteworthy, as its contribution was as high as 23.18 % in some regions. These findings will improve understanding of the perchlorate risk and serve as a critical reference for policymakers in crafting improved environmental management and risk mitigation strategies in China and other nations.

3D Modeling of rural environments from multiscale aerial imagery

Given the increasing attention to environmental preservation and sustainable development, the digitization of rural landscapes stands out as a pivotal strategy for effective environmental management and sustainability, land use planning, and preservation of cultural heritage. This work proposes a novel methodology for generating 3D models of rural landscapes by integrating multiscale data sources. Although Unmanned Aerial Vehicles (UAV) simplify the acquisition of multi-source data, their coverage is typically restricted to small landscapes due to their limited range and flight time. On the other hand, although the use of aerial images provides a broader view of the terrain, it is important to note that the low resolution of these images interferes with the task of accurate 3D modeling. Given these challenges, we propose a methodology that combines UAV data and high-resolution aerial imagery provided by the Spanish National Orthophoto Program (PNOA). This multi-source data integration is crucial to generating detailed and accurate 3D models of rural environments. The proposed methodology involves three steps: (1) semantic segmentation of aerial images identifying features such as vegetation, ground, and human-made structures, (2) estimation of the Digital Elevation Model (DEM), and (3) 3D modeling of rural environments using the point clouds generated from UAV images. The conducted experiments demonstrate the effectiveness of our approach identifying and representing previously mentioned features. Thus, this work presents advances in 3D representation techniques for real scenarios, contributing to the coordination of land utilization and environmental sustainability in rural landscapes.

Peer effects, environmental regulation and environmental financial integration—Empirical evidence from listed companies in heavily polluting industries

Amidst pressing global needs for environmental protection and sustainable development, the international community expects corporations to play a vital role, balancing profit pursuits with environmental responsibility. As the world's second-largest economy and a manufacturing giant, China's environmental governance and corporate models become a research centerpiece. Using the panel data of Chinese A-share heavy polluting industry listed companies from 2013 to 2020, and adopting the Linear-In-Means Model, this paper proposes for the first time that the corporate environmental financial integration is significantly influenced by the peer enterprises. Further research finds that: 1) Peer effect is more significant in private enterprises than state-owned enterprises. 2)The peer effect of environmental pollution integration of heavily polluting enterprises is sticky, mainly reflected in the effect of focus enterprises following peer enterprises to reduce their own environmental financial integration is stronger than the effect of following peer enterprises to upgrade synchronously. And this kind of stickiness is more significant in private enterprises. 3) The institutional pressure has a role in promoting the peer effect of enterprise environmental financial integration, and more significant in state-owned enterprises. Delving into the dynamics of Chinese enterprises in environmental management and financial strategies serves not only to excavate lessons from China's experience but also contributes to the global reservoir of wisdom on environmental protection and green development.

Cyber-aware threats and management strategies in cloud environments

Cyber-aware threats and management strategies in cloud environments

In-depth exploration of talent management strategies within banking environments

The banking industry, marked by dynamic market conditions and evolving customer expectations, encounters distinctive challenges in talent management. Talent management, covering recruitment, development, and retention, plays a crucial role in ensuring the competitiveness of banks. This research conducts an in-depth exploration of talent management strategies in banking environments to unveil the nuances contributing to organizational success. The primary objective is to investigate and assess the effectiveness of talent management strategies by banks to attract, nurture and retain skilled professionals. The paper examines relevant publications, utilizing a methodological approach that spans from 2018 to 2023. Data are extracted from scientific literature databases to ensure a comprehensive analysis. The findings indicate heightened academic interest in talent management within the banking sector, emphasizing the urgent need for further research. The paper provides valuable insights for academia and the banking sector, serving as a foundation for future Data-driven research on talent management and hiring strategies in the banking industry and the broader financial domain.

Multivariate statistical analysis of bioavailability of heavy metals and mineral characterization in selected species of coastal flora

This study presents a thorough investigation into the concentration of heavy metals and mineral composition within four distinct coastal flora species: Cyperus conglomeratus, Halopyrum mucronatum, Sericostem pauciflorum, and Salvadora persica. Employing rigorous statistical methodologies such as Pearson coefficient correlation, principal component analysis (PCA), analysis of variance (ANOVA), and interclass correlation (ICC), we aimed to elucidate the bioavailability of heavy metals, minerals, and relevant physical characteristics. The analysis focused on essential elements including copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), magnesium (Mg2+), calcium (Ca2+), sodium (Na+), potassium (K+), and chloride (Cl–), all of which are known to play pivotal roles in the ecological dynamics of coastal ecosystems. Through PCA, we discerned distinctive patterns within PC1 to PC4, collectively explaining an impressive 99.65% of the variance observed in heavy metal composition across the studied flora species. These results underscore the profound influence of environmental factors on the mineral composition of coastal flora, offering critical insights into the ecological processes shaping these vital ecosystems. Furthermore, significant correlations among mineral contents in H. mucronatum; K+ with content of Na+ (r = 0.989) and Mg2+ (r = 0.984); as revealed by ICC analyses, contributed to a nuanced understanding of variations in electrical conductivity (EC), pH levels, and ash content among the diverse coastal flora species. By shedding light on heavy metal and mineral dynamics in coastal flora, this study not only advances our scientific understanding but also provides a foundation for the development of targeted environmental monitoring and management strategies aimed at promoting the ecological sustainability and resilience of coastal ecosystems in the face of ongoing environmental challenges.

Toxicity and speciation of inorganic arsenics and their adverse effects on in vivo endpoints and oxidative stress in the marine medaka Oryzias melastigma

Here, we investigate the effects of acute and chronic exposure to arsenate (AsV) and arsenite (AsIII) in the marine medaka Oryzias melastigma. In vivo effects, biotransformation, and oxidative stress were studied in marine medaka exposed to the two inorganic arsenics for 4 or 28 days. An investigation of embryonic development revealed no effect on in vivo parameters, but the hatching rate increased in the group exposed to AsIII. Exposure to AsIII also caused the greatest accumulation of arsenic in medaka. For acute exposure, the ratio of AsV to AsIII was higher than that of chronic exposure, indicating that bioaccumulation of inorganic arsenic can induce oxidative stress. The largest increase in oxidative stress was observed following acute exposure to AsIII, but no significant degree of oxidative stress was induced by chronic exposure. During acute exposure to AsV, the increase in the enzymatic activity of glutathione-S-transferase (GST) was twice as high compared with exposure to AsIII, suggesting that GST plays an important role in the initial detoxification process. In addition, an RNA-seq–based ingenuity pathway analysis revealed that acute exposure to AsIII may be related to cell-cycle progression. A network analysis using differentially expressed genes also revealed a potential link between the generation of inflammatory cytokines and oxidative stress due to arsenic exposure.

Severe microplastic pollution risks in urban freshwater system post-landfill fire: A case study from Brahmapuram, India

To investigate the escalating issue of microplastic (MP), pollution in urban water bodies, this study focuses on the aftermath of the Brahmapuram landfill fire in Kochi, India, analyzing its impact on MP concentrations in nearby freshwater system. The study conducted sampling sessions at the landfill site immediately before and after the fire. Post-fire, findings demonstrated a substantial increase in MP concentrations in surface waters, with levels rising from an average 25793.33 to 44863.33 particles/m³, featuring a notable presence of larger, predominantly black MPs. Sediment samples showed no significant change in MP count, but there was a significant increase in mass concentration. SEM/EDS analysis revealed changes in surface morphology and elemental composition, suggesting thermal degradation. Risk assessment using the Microplastic Pollution Index (MPI) and Risk Quotient (RQ) methods indicated heightened MP pollution risk in surface water post-fire. Hierarchical cluster analysis revealed the landfill's proximity as a significant factor influencing MP characteristics in the aquatic system. The study highlights the escalated challenge of MP pollution in urban water bodies following environmental disasters like landfill fires, underscoring the urgent need for policy and environmental management strategies.

FireXplainNet: Optimizing Convolution Block Architecture for Enhanced Wildfire Detection and Interpretability

The early detection of wildfires is a crucial challenge in environmental monitoring, pivotal for effective disaster management and ecological conservation. Traditional detection methods often fail to detect fires accurately and in a timely manner, resulting in significant adverse consequences. This paper presents FireXplainNet, a Convolutional Neural Network (CNN) base model, designed specifically to address these limitations through enhanced efficiency and precision in wildfire detection. We optimized data input via specialized preprocessing techniques, significantly improving detection accuracy on both the Wildfire Image and FLAME datasets. A distinctive feature of our approach is the integration of Local Interpretable Model-agnostic Explanations (LIME), which facilitates a deeper understanding of and trust in the model’s predictive capabilities. Additionally, we have delved into optimizing pretrained models through transfer learning, enriching our analysis and offering insights into the comparative effectiveness of FireXplainNet. The model achieved an accuracy of 87.32% on the FLAME dataset and 98.70% on the Wildfire Image dataset, with inference times of 0.221 and 0.168 milliseconds, respectively. These performance metrics are critical for the application of real-time fire detection systems, underscoring the potential of FireXplainNet in environmental monitoring and disaster management strategies.

Effects of denitrification on speciation and redistribution of arsenic in estuarine sediments

Microbially-mediated redox processes involving arsenic (As) and its host minerals significantly contribute to the mobilization of As in estuarine sediments. Despite its significance, the coupling between As dynamics and denitrification processes in these sediments is not well understood. This study employed sequential sediment extractions and simultaneous monitoring of dissolved iron (Fe), nitrogen (N), and sulfur (S) to investigate the impact of nitrate (NO3−) on the speciation and redistribution of As, alongside changes in microbial community composition. Our results indicated that NO3− additions significantly enhance anaerobic arsenite (As(III)) oxidation, facilitating its immobilization by increased adsorption onto sediment matrices in As-contaminated estuarine settings. Furthermore, NO3− promoted the conversion of As bound to troilite (FeS) and pyrite (FeS2) into forms associated with Fe oxides, challenging the previously assumed stability of FeS/FeS2-bound As in such environments. Continuous NO3− additions ensured As and Fe oxidation, thereby preventing their reductive dissolution and stabilizing the process that reduces As mobility. Changes in the abundance of bacterial communities and correlation analyses revealed that uncultured Anaerolineaceae and Thioalkalispira may be the main genus involved in these transformations. This study underscores the critical role of NO3− availability in modulating the biogeochemical cycle of As in estuarine sediments, offering profound insights for enhancing As immobilization techniques and informing environmental management and remediation strategies in As-contaminated coastal regions.

Quantitative assessment, molecular docking and novel metabolic pathways reveal the interaction mechanisms between norfloxacin biodegradation and environmental implications

Norfloxacin (NOR) is widely used in medicine and animal husbandry, but its accumulation in the environment poses a substantial threat to ecological and human health. Traditional physical, chemical, and rudimentary biological methods often fall short in mitigating NOR contamination, necessitating innovative biological approaches. This study proposes an engineered bacterial consortium found in marine sediment as a strategy to enhance NOR degradation through inter-strain co-metabolism of diverse substrates. Strategically supplementing the engineered bacterial consortium with exogenous carbon sources and metal ions boosted the activity of key degradation enzymes like laccase, manganese peroxidase, and dehydrogenase. Iron and amino acids demonstrated synergistic effects, resulting in a remarkable 70.8% reduction in NOR levels. The innovative application of molecular docking elucidated enzyme interactions with NOR, uncovering potential biodegradation mechanisms. Quantitative assessment reinforced the efficiency of NOR degradation within the engineered bacterial consortium. Four metabolic routes are herein proposed: acetylation, defluorination, ring scission, and hydroxylation. Notably, this study discloses distinctive, co-operative metabolic pathways for NOR degradation within the specific microbial community. These findings provide new ways of understanding and investigating the bioremediation potential of NOR contaminants, which may lead to the development of more sustainable and effective environmental management strategies.

Investigation on performance enhancement of micro-channel separated heat pipe in data center: A coupled heat-mass-flow characterization approach

As data center continues to expand in scale and complexity, the demand for efficient heat dissipation solutions becomes increasingly critical. The utilization of micro-channel separated heat pipe is prevalent in data center cooling due to their low energy consumption and efficient cooling. This study aims to investigate the effects of different refrigerant flow rates, different inclination angles and different inlet vapor phase fractions on the heat transfer and flow characteristics of micro-channel separated heat pipe evaporator. Firstly, a simulation model of the heat pipe evaporator was established considering the heat-mass-flow coupling characteristics, and the fins were modeled and simplified without neglecting the enhanced heat transfer. Then, the experimental data are used to verify the established simulation model, and the error is within the acceptable range. Finally, scheme design and performance optimization research are conducted. Research on the inlet flow rate of R134a shows that when the inlet flow rate is 0.005 m/s, the outlet is superheated vapor. The presence of an inclination angle (0°-20°) in the evaporator not only significantly reduces the pressure difference between the outlet and the inlet (more than 30 %), but also improves the heat transfer coefficient and the refrigerant velocity magnitude. In addition, increasing the inlet vapor volume fraction promotes vapor bubble nucleation and reduces the pressure drop, but leads to the presence of outlet overheating. The findings of this study contribute valuable insights for advancing thermal management strategies in data center environments.

Coal mining and water resources: impacts, challenges, and strategies for sustainable environmental management

The intricate relationship between coal mining and water resources is discussed, as well as coal mining affects the quality and availability of water is highlighted. Coal deposits play a major role in energy production, and at the same time, coal mining causes adverse environmental effects. For this reason, the article is devoted to the study consequences of coal mining on water contamination and soil conditions. The investigation results show that coal mining causes dangerous and harmful particles to reach the surface of the water, degrades the soil, and causes chemical exposure. Hydrology and water quality throughout the mining lifecycle are influenced by such consequences, which can be observed across mining regions and under different extraction methods. In this regard, there exists a need for effective strategies and implementing best practices for mining operations, adopting preventive measures for acid mine drainage, and advanced water management techniques. Also, the experience of effective environmental management is discussed. Mining reclamation plans, adherence to specific standards, and the role of rocks selection in reclamation success are discussed. Considering the above balancing energy needs with sustainable environmental practices is crucial to ensuring the coexistence of mining and global water resources.

Utility of decision tools for assessing plant health risks from management strategies in natural environments.

Increased imports of plants and timber through global trade networks provide frequent opportunities for the introduction of novel plant pathogens that can cross-over from commercial to natural environments, threatening native species and ecosystem functioning. Prevention or management of such outbreaks relies on a diversity of cross-sectoral stakeholders acting along the invasion pathway. Yet, guidelines are often only produced for a small number of stakeholders, missing opportunities to consider ways to control outbreaks in other parts of the pathway. We used the infection of common juniper with the invasive pathogen Phytophthora austrocedri as a case study to explore the utility of decision tools for managing outbreaks of plant pathogens in the wider environment. We invited stakeholders who manage or monitor juniper populations or supply plants or management advice to participate in a survey exploring their awareness of, and ability to use, an existing decision tree produced by a coalition of statutory agencies augmented with new distribution maps designed by the authors. Awareness of the decision tree was low across all stakeholder groups including those planting juniper for restoration purposes. Stakeholders requested that decision tools contain greater detail about environmental conditions that increase host vulnerability to the pathogen, and clearer examples of when management practices implicated in pathogen introduction or spread should not be adopted. The results demonstrate the need to set clear objectives for the purpose of decision tools and to frame and co-produce them with many different stakeholders, including overlooked groups, such as growers and advisory agents, to improve management of pathogens in the wider environment.

Incidence of the tussock moth attack: Issue, crop damages and management strategies to support sustainable oil palm plantation

The problem of insect pests in the palm oil industry has shown a considerable shift during the second decade of the twenty-first century due to ecosystem and technological changes. The interaction between palm oil as a host plant and the behaviour of insect pests undergoes an adaptation process. Defoliating insects of oil palm in Central Kalimantan, at certain times, experience explosions, such as the tussock moth species Dasychira inclusa (Walker, 1856) and Calliteara horsfieldii (Saunders, 1851). Several factors led to the tussock moth explosion, including environmental factors, human resources, and management strategies. The percentage of crop damage caused by the tussock moths from mild, moderate, severe to very severe categories was 43.48%, 15.57%, 21.74% and 10.87%. The tussock moth outbreak is giving rise to restoration efforts to keep the ecosystem balance in the landscape back to normal. Efforts to maintain ecosystem balance through regular and accurate monitoring, introducing and withdrawing beneficial insects, and planting proper plant vegetation. This action is one of the keys to dealing with small pest outbreaks or significant pests. Ultimately, a diversified ecosystem provides more crop protection opportunities.

Microplastic contamination in urban aquatic environments: Occurrence characteristics in urban streams and stormwater runoff from urban surfaces

This study investigates microplastics in urban environments, focusing on their abundance, types, and relationships with hydrological parameters. Microplastic analyses encompassed two steps: (1) examining urban streams including discharges from a wastewater treatment plant (WWTP) during non-rainy seasons, and (2) analyzing stormwater runoff from urban surfaces for microplastic content during rainy seasons. In urban streams, WWTP discharge exhibited higher microplastic concentrations compared to other streams, indicating WWTP discharge is a dominant source of microplastic pollution. The most prevalent microplastics detected were polypropylene, polyethylene, and their copolymer, although a variety of other types were also found. Concentrations of microplastics were notably influenced by specific urban land uses, as evidenced by a strong correlation (0.95) between microplastic concentrations and areas characterized by industrial and transportation activities. During rainy seasons, microplastics followed the pattern of stormwater runoff, but the highest concentrations, significantly exceeding those in urban streams, were observed before the peak runoff. These maximum concentrations and their timing of occurrence were linked to antecedent dry days, rain intensity, and runoff rate, showing significant statistical correlations. Regardless of their sizes, a diverse range of microplastic types was identified in these conditions, with no consistent pattern across different rain events. This highlights the complex nature of urban microplastic pollution. This study reveals that aquatic ecosystems are significantly affected by two primary factors: (1) the consistent contribution of microplastics from WWTP discharges, and (2) the short-term, but severe, impacts of microplastic pollution associated with stormwater runoff. Furthermore, it suggests the development of alternative strategies to mitigate microplastic pollution in aquatic ecosystems, informed by the findings on the characteristics of microplastics in urban environments. This research underscores the urgent need for integrated urban environmental management strategies, paving the way for future studies to further explore and address the multifaceted challenges posed by microplastic pollution in aquatic ecosystems.

Green credit policy and default risk of the heavy polluting corporations

This paper uses a double-difference model to test the impact of green credit policy on the default risk of heavy polluters based on the data of China listed companies from 2008 to 2021. It is found that green credit policy can significantly reduce the default risk of heavy polluters, and the reduction effect is more significant in state-owned enterprises. Further mechanism tests show that green credit policy reduces default risk by guiding heavily polluting firms to reduce financial leverage. Government environmental regulation and corporate green innovation capacity affect the role of green credit policy on corporate default risk. With the strengthening of regional environmental regulations and the enhancement of corporate green innovation capabilities, the effect of green credit policies in diminishing the default risk for companies with high pollution levels is increasingly evident. This study not only enriches the literature on green credit but also demonstrates the effectiveness of directing banks and various financial entities to allocate resources reasonably, guiding heavily polluting enterprises to control risks, and steadily achieving green transformation. These findings hold significant implications for decision-making in designing environmental policy and management strategies.