Risk Of Environmental Pollution Research Articles

Heavy Metal Pollution Characteristics and Ecological Risk Assessment of Kafang Tin Tailings Pond

To study the pollution characteristics and ecological risks of heavy metals in tailings ponds is an important prerequisite for protecting the surrounding environment and human health. The total amount and morphology of five "toxic" heavy metals （As, Cr, Cd, Pb, and Hg） in Kafang tin tailings pond were determined. Based on the aforementioned, we analyzed the distribution characteristics of heavy metals. The potential ecological risks of heavy metals in tailings ponds were studied from the aspects of total amount and morphology. Sample data were analyzed using the geo-accumulation index method, potential ecological risk assessment method, and risk assessment criteria. The results showed that, from the perspective of the total amount of heavy metals, the spatial distribution of As was different, and the pollution was serious； the spatial distribution of Cd, Hg, Cr, and Pb was relatively uniform； the pollution of Cd and Hg was slight； and the pollution of Cr and Pb was controllable. From the perspective of the morphology of heavy metals, As, Cr, Pb, and Hg in tailings were mainly in the residual state and had low environmental pollution risk, whereas Cd in tailings was mainly in an oxidizable state and had high environmental pollution risks. Therefore, Kafang tin tailings pond should strengthen the control of As in tailings and pay attention to the potential pollution risks of Cd in tailings and the overall pollution risks of Hg, Pb, and Cr in the entire reservoir were controllable.

Nitrogen and phosphorus metabolism together lead to a continuous increase in the environmental pollution risk in Minnan-Triangle cities

Nitrogen and phosphorus metabolism together lead to a continuous increase in the environmental pollution risk in Minnan-Triangle cities

Uneven Burdens: The Intersection of Brownfields, Pollution, and Socioeconomic Disparities in New Jersey, USA

Brownfields, abandoned or underutilized lands having the potential for contamination due to industrial activities, pose health risks to nearby residents and raise environmental justice (EJ) concerns. This study examines the relationship between brownfield distribution and socioeconomic factors in New Jersey, a state with over 700 brownfield sites, using correlation, spatial autoregression, and instrumental variable regression methods. Results show that brownfields are associated with higher combined EJ stressors, indicating compounding environmental pollution and health risks in affected areas. Brownfields are disproportionately correlated with lower household income, higher rates of uninsured individuals, lower educational attainment, and a greater percentage of people of color. When accounting for spatial autocorrelation, relationships between income, education, and brownfield distributions are reduced, reflecting New Jersey’s historical, environmental, and social contexts. Overall, the presence of people of color maintains the strongest association with brownfield distribution. This study highlights ongoing EJ challenges faced by disadvantaged groups and emphasizes the need for targeted mitigation measures to enhance sustainability and equity. New Jersey serves as a critical case study given its ethnic diversity, growing urban population, and status as the state with the highest population density in the United States, illustrating broader trends of disproportionate exposure to environmental pollution among marginalized communities.

Edukasi Pengelolaan Sampah Berbasis Eco enzyme untuk Mengurangi Dampak Pencemaran Lingkungan dan Resiko ISPA di Desa Karangdiyeng Kabupaten Mokokerto

Waste management issues and its environmental and health impacts, particularly Acute Respiratory Infections (ARI), are significant concerns in Desa Karangdiyeng, Kabupaten Mojokerto. A large portion of the community still practices waste burning, which harms both the health and the environment. This community service activity aimed to increase public awareness of environmental pollution risks from waste burning and provide training on creating eco enzymes as an eco-friendly waste management solution. The methods used included seminars on environmental pollution and ARI, as well as practical eco enzyme production training. Results showed a significant improvement in community knowledge, with an average pretest score increasing by 47.5% after attending the seminar and training. Participants were also able to practice making eco enzymes and were given plant seedlings to utilize the eco enzyme as fertilizer. This activity successfully provided benefits by raising awareness of proper waste management and its health impacts, as well as offering practical skills in eco enzyme-based waste management.

Rankings of Shorelines of Georgian Black Sea Sector According to the Ecological Sensitivity Index (ESI)

Georgia is concidered as one of the best alternative transit countries connecting Asia and Europe. The transportation of oil and oil products from the Caspian and Central Asian regions to European countries is especially significant. This boosts the country’s economy, but it also increases the risk of marine environment pollution from oil hydrocarbons. In response to the risk of oil hydrocarbon pollution, it is necessary to intensify preventive monitoring efforts. This includes assessing the extent of oil hydrocarbon contamination on shores, in coastal waters, and in bottom sediments, as well as identifying and classifying areas along the coastline that are most sensitive to pollution. The division of shorelines into sensitive areas is carried out according to the ecological sensitivity index ESI, wich contains a numeric or alpha-numeric coded description of the shoreline characteristics for each shoreline segment. According to the 10 levels of sesitivity against oil pollution, the shoreline segments are classified from "low" sensitivity ESI 1 to "very high" sensitivity ESI 10, respectively 10 main classes and up to 30 sub-classes are identified. In Georgia coastal area, for the 113 km section from Ganmukhuri to Sarpi, we have identified shoreline segments with 7 main classes and 9 sub-classes of sensitivity. Keywords: Black sea, Georgia, oil, sensitivity, rankings , pollution

Improving the Microenvironmental of Spring Soybean Culture and Increasing the Yield by Optimization of Water and Nitrogen

Optimizing water and nitrogen management is an effective measure to reduce nitrogen fertilizer loss and environmental pollution risks. This study aims to quantify the impacts of different water and nitrogen management strategies on the soil microenvironment and yield of spring soybeans in southern Xinjiang. In this study, two irrigation quotas were established: W1—36 mm (low water) and W2—45 mm (high water). Three nitrogen application gradients were established: low nitrogen (150 kg·hm−2, N1), medium nitrogen (225 kg·hm−2, N2), and high nitrogen (300 k kg·hm−2, N3). The analysis focused on soil physicochemical properties, enzyme activities, microbial community diversity, soybean yield, and soybean quality changes. The results indicate that the activities of nitrate reductase and urease, as well as total nitrogen content, increased with higher irrigation and nitrogen application rates. The W2N3 treatment significantly increased 0.15 to 4.39, 0.18 to 1.04, and 0.31 to 1.73 times. (p < 0.05). Alkaline protease and sucrase activities increased with higher irrigation amounts, while their response to nitrogen application exhibited an initial increase followed by a decrease. The W2N2 treatment significantly increased by 0.10 to 0.34 and 0.07 to 1.46 times (p < 0.05). Irrigation significantly affected the soil bacterial community structure, while the coupling effects of water and nitrogen notably influenced soil bacterial abundance (p < 0.05). Increases in irrigation and nitrogen application enhanced bacterial diversity and species abundance. Partial least squares path analysis indicated that water–nitrogen coupling directly influenced the soil microenvironment and indirectly produced positive effects on soybean yield and quality. An irrigation quota of 4500 m3 hm−2 and a nitrogen application rate of 300 kg·hm−2 can ensure soybean yield while enhancing soil microbial abundance. The findings provide insights into the response mechanisms of soil microbial communities in spring soybeans to water–nitrogen management, clarify the relationship between soil microenvironments and the yield and quality of spring soybeans, and identify optimal irrigation and fertilization strategies for high quality and yield. This research offers a theoretical basis and technical support for soybean cultivation in southern Xinjiang.

Legal Implications Of Ai-Assisted Medical Waste Management In Healthcare Facilities

Medical waste management in healthcare facilities is critical to protecting public health and the environment. Improper handling of medical waste can lead to environmental pollution and pose serious health risks. In Indonesia, Permenkes No. 2 of 2023 provides a regulatory framework for managing medical waste, but its implementation needs to be improved, especially in remote healthcare facilities with limited infrastructure and resources. Technological advances, especially artificial intelligence (AI), offer potential solutions to optimize medical waste management through real-time tracking, sorting, and monitoring. This study aims to evaluate the role of AI in supporting the implementation of Permenkes No. 2 of 2023 in several health facilities and identify barriers to AI adoption. Using a normative legal approach combined with case studies from health facilities in Indonesia, this study highlights the effectiveness of AI implementation in medical waste management. The results show that AI has the potential to improve compliance with medical waste management standards, optimize waste processing, and strengthen supervision through real-time data collection. However, AI adoption faces high costs, a lack of infrastructure, and limited technical expertise, especially in remote areas. The implications of this study emphasize the need for investment in technological infrastructure, health workforce training, and supportive policies to address barriers to AI adoption. This would maximize the potential of this technology in more effective medical waste management for public health and a safer environment.

Performance Evaluation of Delonix regia Sawdust as Cement Retarder in Oil and Gas Well

Sawdust, a byproduct of wood exploitation and processing, poses environmental pollution risks if not managed appropriately. Its substantial carbon footprint can lead to pollution, habitat disruption, and fire hazards. However, repurposing sawdust as a chemical additive in cement slurry within the oil and gas industry offers an environmentally friendly solution. This practice aligns with sustainability goals, enhances cement slurry properties, promotes wellbore stability, and replaces more hazardous additives, thereby reducing environmental impact. This study is aimed at the production of a retarder (sodium lignin) from sawdust waste obtained from the Delonix regia species, and examining its effect on the thickening time/consistency, compressive strength, and rheological properties on the slurry of a Class G cement At a Bottom Hole Circulating Temperature (BHCT) of 90°C, thickening time tests conducted on the slurry samples revealed that as the concentration of the locally synthesized retarder increases, the thickening time of the concrete also increases, with minimal effect on compressive strength. The optimal thickening time result of 6 hours and 13 minutes was achieved with 0.5% Sodium Lignin (Retarder from Delonix regia sawdust) replacing a portion of the cement. At a bottomhole static temperature (BHST) of 100°C, increasing the concentration of the formulated sample led to higher Plastic Viscosities (PV) and yield points in the slurries. The findings indicate that slurries formulated with sodium lignin maintain viscosities within recommended values, making them suitable for pumping.

Identification and Application of Streptomyces rapamycinicus CQUSh011 against Potato Late Blight.

Using chemical fungicides is the main strategy for controlling potato late blight (PLB), a devastating pre- and postharvest disease caused by Phytophthora infestans, resulting in environmental pollution and health risks. It is of great importance to develop a biofungicide from microorganisms. Through isolating potato rhizosphere microorganisms, CQUSh011 was found to have antioomycete activity with strong inhibition on vegetative growth and virulence of P. infestans. Morphological and molecular identification indicated that CQUSh011 belongs to Streptomyces rapamycinicus. Based on genome, metabolome, and HPLC quantification, rapamycin and salicylic acid were found to be the two active metabolites against P. infestans. Continuous field trials showed that CQUSh011 has sustainable control efficiency against PLB, and the efficiency was better when combined with Infinito, along with an increased endophytic microbial community and biodiversity in potato roots. The results demonstrated the potential of CQUSh011 as a biofungicide against PLB and provided an alternative strategy for reducing the application of chemical fungicides.

Visual aptasensor based on PtNPs/g-C3N4 and DNase I for the field detection of acetamiprid.

A visual aptasensor based on the combination of graphitic carbon nitride loaded with platinum nanoparticles (PtNPs/g-C3N4) and deoxyribonuclease I (DNase I) was developed for detecting acetamiprid. The prepared PtNPs/g-C3N4 exhibited excellent peroxidase (POD)-like activity, demonstrating the capacity to oxidize the colourless o-phenylenediamine (OPD) to produce the coloured product diaminophenazine (DAP) in the presence of hydrogen peroxide (H2O2). The DNA aptamer of acetamiprid can adsorb onto the surface of PtNPs/g-C3N4, thereby inhibiting its POD activity. The binding of acetamiprid to its aptamer results in the aptamer desorbing from the surface of PtNPs/g-C3N4 and subsequent digestion by DNase I. Ascribed to the synergistic effect of these factors, the aptasensor can achieve the rapid on-site detection of acetamiprid based on the acetamiprid-induced the colour change of the solution just with the smartphone. Furthermore, due to the remarkable fluorescence signal of DAP at 570nm, the aptasensor under fluorescence mode enables highly sensitive and quantitative detection of acetamiprid with a linear range of 1 ng/mL to 4µg/mL and a detection limit as low as 0.31 ng/mL.Theaptasensor has successfully realized the detection of acetamiprid in river water and cucumber samples, offering a novel perspective for the rapid assessment of environmental pollution and food safety risks associated with acetamiprid residues.

Advances and challenges in inorganic lithium solid electrolytes

Lithium-ion battery (LIB) is the most widely used secondary battery and has been extensively studied in the past few decades due to its many advantages compared to other secondary batteries, such as higher energy density and better cycling performance. Considering the potential risks of environmental pollution and fire hazard induced by leakage or overheating of conventional electrolytes composed of flammable organic solvent-dissolving Li salts, non-flammable solid electrolytes (SEs), especially ceramic electrolytes with different structural types have been developed to improve the safety performance of LIBs. As the properties of SEs significantly depend on the microstructure, this review systemically summarized the recent progress in inorganic solid electrolytes based on the classification of microstructure and presented the relevant discussion in detail, including the microstructures, the mechanisms of Li ionic migration and performance optimization. Additionally, several challenges for realizing industrial application of SEs, such as lower ionic conductivities compared to liquid electrolytes and unsatisfactory stability in ambient atmosphere were mentioned. To effectively boost the development of SEs, more advanced transmission electron microscopy and atom probe tomography should be considered to deeply investigate the relationship between microstructure and properties in the future.

The administration of Glycyrrhiza polysaccharides mitigates liver injury in mice caused by mancozeb via the Keap1-Nrf2/NF-κB pathway

The extensive utilization of mancozeb (MCZ) poses environmental pollution risks, threatens human health, particularly hepatotoxicity. Glycyrrhiza polysaccharides (GP) exhibit antioxidant, anti-inflammatory and other biological activities. The aim of this study is to explore the mechanism of liver injury in mice exposed to MCZ and the protective effect of GP on alleviating MCZ induced liver injury. Initially, 70 female mice were divided into 7 groups, and the optimal dose of MCZ induced liver injury in mice was screened by oral administration different doses of MCZ (0, 50, 100, 150, 200, 250 and 300 mg/kg MCZ). The results demonstrated that, compared to the blank control group, as the concentration of MCZ increased, several physiological and biochemical parameters were significantly affected. Specifically, body weight and liver index significantly decreased, while the activities of SOD and CAT also decreased. Additionally, the content of ROS increased, the levels of Keap1 and Nrf2 proteins increased, the mRNA levels of Gpx2 and HO-1decreased, and the mRNA levels of Gstt2, GcLc and NQO1 were upregulated. Based on the test data, select 100mg/kg MCZ as the optimal modeling dose for experimental animals. Sixty female mice were divided into six groups and orally administered: control group A (0.2mL deionized water), model group B (100mg/kg MCZ), positive control group F (100mg/kg MCZ+100mg/kg VC), the high-dose GP group C (100mg/kgMCZ+200mg/kgGP), the medium-dose GP group D (100mg/kg MCZ+150mg/kgGP) and the low-dose GP group E (100mg/kg MCZ+100mg/kgGP). The results showed that compared to the model group, adding GP alleviated the effects of MCZ on body weight, liver index, CAT and SOD activity, MDA content, HO-1, TNF-α, and IL-1β. Additionally, the addition of GP decreased the expression of Keap1, Nrf2, NF-kB, and NQO1, GcLc, and Gstt2 mRNA. GP ameliorated liver vacuolar degeneration, steatosis and nuclear pyknosis ameliorate by MCZ. The results show that MCZ triggers hepatotoxicity via the activation of the Keap1/Nrf2 signaling pathway, whereas GP has the potential to mitigate liver damage caused by MCZ exposure by inhibiting this pathway.

Assessment of nitrogen and phosphorus losses due to erosion in compost-treated and non-treated vineyard soils: effect of rainfall intensity

Vineyards in Mediterranean areas suffer from significant soil degradation through erosion, due to rainfall and soil characteristics, as well as soil management practices. Previous studies pointed out the nutrient losses produced by erosion and the benefits that some management practices could have on reducing erosion. This research tried to evaluate the effect of events of different intensities and to assess whether the beneficial effect of compost amendment may pose a potential risk of nutrient loss and environmental pollution in particular under high-intensity events. The study compared soil and nutrient losses in compost-treated and non-treated vineyard soils after rainfall events of different intensities analyzed over 2 years in two vineyards. Runoff samples were collected by triplicate in treated and non-treated soils. Sediment and nitrogen and phosphorous concentrations in the runoff samples were analyzed. The results reveal a reduction in runoff rates and an increase in soil water content in compost-treated soils, which represents a benefit for rainfed vineyards. Both nitrogen and phosphorus losses depended on rainfall characteristics. Although for low intensities there were no significant differences in the amount of nutrient lost by runoff in both treated and non-treated soils, nitrogen and phosphorus losses were higher after high-intensity rainfall events in compost-treated soils. With the expected increase in high-intensity rainfall events associated with climate change in the Mediterranean region, organic amendments should be applied in several splits or incorporated into the soil to avoid increased nutrient loss to water bodies.

High-Entropy Layered Oxide Cathode Materials with Moderated Interlayer Spacing and Enhanced Kinetics for Sodium-Ion Batteries.

Sodium-ion batteries (SIBs) with low cost and environmentally friendly features have recently attracted significant attention for renewable energy storage. Sodium layer oxides stand out as a type of promising cathode material for SIBs owing to their high capacity, good rate performance, and high compatibility for manufacturing. However, the poor cycling stability of layer oxide cathodes due to structure distortion greatly impacts their practical applications. Herein, a high entropy doped Cu, Fe, and Mn-based layered oxide (HE-CFMO), Na0.95Li0.05Mg0.05Cu0.20Fe0.22Mn0.35Ti0.13O2 for high-performance SIBs, is designed. The HE-CFMO cathode possesses high-entropy transition metal (TM) layers with a homogeneous stress distribution, providing a moderated interlayer spacing to maintain the structure stability and enhance Na+ ion diffusion. In addition, Li doping in TM layers increases the Mn valence state, which effectively suppresses John-Teller effect, thus stabilizing the layered structure during cycling. Furthermore, the use of nontoxic and low-cost raw materials benefits future commercialization and reduces the risk of environmental pollution. As a result, the HE-CFMO cathode exhibits a super cycling performance with a 95% capacity retention after 300 cycles. This work provides a promising strategy to improve the structure stability and reaction kinetics of cathode materials for SIBs.

Microscale heat and mass transfer characteristics of CO2 flooding in nanotubes of tight oil reservoirs

AbstractThe mechanism of heat and mass transfer in tight oil reservoirs after CO2 injection is complex. In this paper, first, a CO2 transfer model within microscale adjacent nanotubes in tight oil reservoirs is established. Then, the typical heat and mass transfer characteristics of microscale CO2 in tight oil reservoirs is analyzed, and the influence of grid density on the calculation results is discussed. Finally, the influence of thermal conductivity of tight oil reservoirs on CO2 physical properties parameters is revealed. Results show that: (a) From the inlet end of the thick nanotube to the outlet of the nanotube, the pressure of CO2 drops from 3.5 to 3.3697 MPa. (b) When the mesh length is equal to 5 nm, the CO2 pressure in the thin nanotube drops from 3.5 to 3.3329 MPa, and the CO2 pressure in the thick nanotube drops from 3.5 to 3.2018 MPa. (c) Organic amines react with CO2 to form salts, which can seal high permeability layers and cracks, but there is a risk of environmental pollution.

The Role of Environmental Accounting in Mitigating Environmental Pollution Risk and its Disclosure

This research explores the critical role of environmental accounting in mitigating environmental pollution risks and improving disclosure practices. Environmental pollution has become a significant global concern, amplified by industrial activities and mismanagement of natural resources. As stakeholders increasingly demand corporate responsibility, environmental accounting has emerged as a pivotal tool for organizations to quantify their environmental impacts, integrate eco-ethics into their financial systems, and enhance transparency in environmental risk disclosures. This study examines how environmental accounting frameworks can aid in reducing corporate pollution by identifying the cost of pollution-related activities and aligning them with financial decision-making processes. Additionally, the research investigates the regulatory frameworks that promote environmental transparency and the challenges that companies face in implementing these practices. Case studies on corporate environmental accounting demonstrate both the potential and limitations of current practices. The research concludes with recommendations on the strategic integration of environmental accounting to foster sustainability and risk mitigation. These findings underscore the importance of consistent environmental disclosure in enhancing corporate accountability and in reducing environmental risks.

Enhancing aeolian sand stability using microbially induced calcite precipitation technology

This study investigates the effectiveness of Microbially Induced Calcite Precipitation (MICP) technology in enhancing the stability of aeolian sand. Applying MICP to desert sand samples from Kashi, Xinjiang, the results demonstrated significant structural stability and erosion resistance in treated soils during wind erosion tests. Particularly after 14 days of treatment, the soil samples exhibited optimal wind erosion resistance and surface crust strength. Additionally, the formation of calcite significantly improved the soil’s penetration strength and wind erosion resistance, with SEM analysis confirming that calcite “bridges” between soil particles enhanced inter-particle bonding. Environmental impact assessments indicated that MICP technology is not only environmentally friendly but also effectively reduces the risk of soil environmental pollution. These findings validate the potential application of MICP technology in enhancing the stability and environmental adaptability of aeolian sand.

Detrimental effects of glyphosate on muscle metabolism in grass carp (Ctenopharyngodon idellus)

Glyphosate, a commonly used herbicide, has been associated with environmental pollution and potential health risks to aquatic organisms. This study investigated the effects of glyphosate on the muscle metabolism of grass carp (Ctenopharyngodon idellus) following exposure to environmentally relevant concentrations. Over a 14-day exposure period to varying glyphosate levels, significant disruptions were observed in antioxidant capacity and muscle health. These disruptions were evidenced by reductions in total antioxidant capacity (T-AOC), increases in malondialdehyde (MDA) levels, and decreases in activities of glutathione peroxidase (GSH-PX) and catalase (CAT). Furthermore, exposure to glyphosate resulted in a reduction of vitamin E content and an elevation of hormonal levels, suggesting the potential for endocrine disruption. Metabolomics analysis identified 605 distinct metabolites, with notable alterations in amino acid, carbohydrate, and nucleotide metabolism pathways. Specifically, arginine and glutathione metabolisms were severely impacted, with decreases in key amino acids such as glycine and glutathione at higher glyphosate concentrations. Nucleotide metabolism, particularly purine synthesis, was also significantly affected, with reduced levels of deoxyguanosine and other purine-related compounds. The study further investigated the origins of these differential metabolites using the MetOrigin platform, suggesting a potential involvement of the intestinal microbiota in the metabolic response to glyphosate. These findings highlight the multifaceted adverse effects of glyphosate on fish muscle, including oxidative stress and metabolic dysregulation, which may contribute to diminished muscle quality and health risks for aquatic organisms.

Certain aspects of the implementation of imputed insurance of environmental risks in the Russian Federation

Purpose: of this article is to justify the implementation of insurance of environmental risks in the Russian Federation in the form of a pilot project based on imputed insurance with the definition of the main conditions of insurance coverage.Methods: the presented work uses statistical and predictive methods and the integrated approach for processing data on natural, climatic and human activity risks. Correlation-regression analysis and actuarial modeling were used to determine the conditions for insuring environmental risks and calculate tariff rates.Results: the paper substantiates the possibility of carrying out insurance of environmental risks in the form of a pilot project using an imputed form of insurance. Approaches to the calculation of the main parameters of business civil liability insurance for causing environmental damage as a result of an accident within the framework of a pilot project are proposed, including the determination of the minimum and maximum non-aggregate insurance limit, the minimum number of insurance companies, and the calculation of tariff rates. Due to the lack of Russian statistics on insurance coverage of environmental risks, statistical data on global insurance catastrophic losses from natural events, climate risks and human actions, as well as judicial statistics on disputes over the application of environmental protection legislation, were used for the calculation. The regions of the Russian Federation were identified for the implementation of a pilot project of environmental risk insurance.Conclusions and Relevance: the implementation of a pilot project of environmental risk insurance in certain regions on the basis of imputed insurance will make it possible to assess the current and forecast level of environmental risks in the Russian Federation, the need for insurance and reinsurance protection, the possibility and necessity of state participation in covering environmental damage. Using insurance statistics, insurers will be able to develop adjustment factors that encourage enterprises to take preventive measures. Reflection in a special reporting section of the results of the participation of insurance companies in the insurance of environmental pollution risks will be considered as the implementation of ESG principles.

Optimization of household medical waste recycling logistics routes: Considering contamination risks.

The escalating generation of household medical waste, a byproduct of industrialization and global population growth, has rendered its transportation and logistics management a critical societal concern. This study delves into the optimization of routes for vehicles within the household medical waste logistics network, a response to the imperative of managing this waste effectively. The potential for environmental and public health hazards due to improper waste disposal is acknowledged, prompting the incorporation of contamination risk, influenced by transport duration, waste volume, and wind velocity, into the analysis. To enhance the realism of the simulation, traffic congestion is integrated into the vehicle speed function, reflecting the urban roads' variability. Subsequently, a Bi-objective mixed-integer programming model is formulated to concurrently minimize total operational costs and environmental pollution risks. The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). This algorithm employs a sophisticated approach, amalgamating congestion distance and individual ranking to discern optimal solutions from the population. It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm's convergence properties. Furthermore, it leverages the concept of crossover-induced elimination to preserve the genetic diversity and overall robustness of the solution set. The empirical evaluation of AH-NSAFSA is conducted using a test set derived from the Solomon dataset, demonstrating the algorithm's capability to generate feasible non-dominated solutions for household medical waste recycling path planning. Comparative analysis with the Non-dominated Sorted Artificial Fish Swarm Algorithm (NSAFSA) and Non-dominated Sorted Genetic Algorithm II (NSGA-II) across metrics such as MID, SM, NOS, and CT reveals that AH-NSAFSA excels in MID, SM, and NOS, and surpasses NSAFSA in CT, albeit slightly underperforming relative to NSGA-II. The study's holistic approach to waste recycling route planning, which integrates cost-effectiveness with pollution risk and traffic congestion considerations, offers substantial support for enterprises in formulating sustainable green development strategies. AH-NSAFSA offers an eco-efficient, holistic approach to medical waste recycling, advancing sustainable management practices.