Resource Sustainable Development Research Articles

Current Situation and Optimization Measures of Land Resource Management

In recent years, with the continuous expansion of urban scale, the population living in cities has been increasing, and land resources are becoming increasingly scarce. With the development of society, people's attention to land resources is also increasing. In this situation, it is important to recognize that in order to promote better economic development and overall social development. And it is necessary to optimize the management and allocation of land resources, and develop feasible optimization measures based on development issues to promote sustainable development of land resources.

ЕКОІННОВАЦІЙНІ ПРОЄКТИ ДЛЯ РОЗВИТКУ ТЕРИТОРІЙ: ДОСВІД ТА ПРАКТИКА ЄС

The article examines strategies and approaches employed within the European Union to promote sustainable development of territories. It analyzes eco-innovative projects aimed at conserving natural resources and reducing environmental impact, drawing from the experience of leading countries in implementing ecological innovations. The necessity of adopting the experience of European countries in implementing eco-innovative solutions and integrating them into the development system of regions in Ukraine is justified. Given the increasing attention to environmental issues, particularly in light of climate change and other global challenges, this article is more relevant than ever. Today, environmental problems are becoming increasingly urgent and are a priority for many countries and regions worldwide. Development of territories considering environmental aspects is crucial for sustainable development and preservation of vital resources. The strategies employed in the EU can provide valuable experience and practical examples for other countries facing similar environmental challenges. The article analyzes the Global Innovation Index used to assess the "green" direction of economic development in countries worldwide. The focus is on the innovative policies of the European Union, particularly in the development of green technologies and innovations. An analysis of the driving forces and barriers to the development and implementation of eco-innovative solutions in European countries, including Poland, is conducted. The feasibility of borrowing the experience of the European Union in the implementation of "green" technologies for sustainable development of territories in Ukraine is demonstrated. The relevance of this topic is significant as environmental problems become increasingly pressing, requiring joint efforts from individuals, governments, and international communities. The experience and practices of the EU can serve as an important source of information and improvement of strategies for the development of territories in Ukraine considering environmental aspects.

Environmental assessment of geomechanical behavior of lithosphere in sustainable development of mineral resources

Environmental assessment of geomechanical behavior of lithosphere in sustainable development of mineral resources

Adsorption performance and mechanism of TiO2/PVDF-based lithium-ion imprinted membrane in leaching solution of spent lithium-ion batteries

Efficient recycling of spent lithium-ion batteries (LIBs) is particularly important for the sustainable development of energy metal resources. A lithium ion-imprinted membranes (LIIMs) was synthesized by environmentally friendly hydrolysis polymerization. Its adsorption performance and mechanism in a simulated spent LIBs leaching solution was investigated. The Li+ adsorption of the LIIMs conformed to a pseudo-second-order kinetic model and occurred with a fast adsorption rate. The activation energy was associated with chemical adsorption. Thermodynamic results confirmed that Li+ adsorption was exhibited by the LIIMs as spontaneous exothermic behavior. The LIIMs showed a satisfactory affinity for lithium in simulated leaching solution (SLS), and the selective separation factors of Li+ for Fe2+, Cu2+, Ca2+, Zn2+, Mn2+, K+, and Na+ were 10.93, 19.30, 22.66, 23.49, 26.14, 27.57 and 39.00, respectively. The selective adsorption mechanism of LIIMs mainly occurred through coordination between Li+ and the oxygen on the crown ether at the surface active adsorption sites. The results proved that the LIIMs as a highly selective green adsorbent material has a broad application prospect in the recycling of spent LIBs. Importantly, the elucidation of the adsorption performance and the revelation of the adsorption mechanism provide the theoretical support for the future commercialization of LIIMs.

Evaluation of Groundwater Vulnerability of Yishu River Basin Based on DRASTIC-GIS Model

The evaluation of vulnerability is a crucial aspect in the sustainable development, utilization, and preservation of groundwater resources. This study utilizes a comprehensive approach, integrating systematic analysis of hydrogeological conditions and the utilization of observed and collected data. The evaluation of groundwater vulnerability in the Yishu River Basin (YRB) was conducted by employing the DRASTIC model, along with the zone overlay function of GIS software. Seven evaluation indicators were considered in this assessment. The findings demonstrate that the groundwater vulnerability in the YRB can be categorized into five divisions: excellent, good, medium, poor, and very poor, accounting for 14.5%, 42.3%, 27.9%, 14.0%, and 1.3% respectively. The areas with low vulnerability are predominantly located in the eastern part of the study area, covering the largest proportion of the total area. Conversely, areas with high vulnerability are found alongside both banks of the Shu River, forming narrow strips. Although these areas have smaller overall coverage, they contain dispersed water sources that require careful attention. These research findings provide valuable scientific insights and serve as a reference for urban planning, land use management, and groundwater resource protection in the YRB. The formulation and adoption of targeted protection measures in accordance with different groundwater vulnerability zoning, the formulation of scientific groundwater resource development and utilization programs, and execution of land resource planning are of great significance from the perspective of groundwater resource protection.

The Impacts of Land-Use Changes on Ecosystem Service Value in the Yunnan–Kweichow Plateau, China

The Yunnan–Kweichow Plateau serves as a critical ecological security barrier in southwest China. The region has witnessed substantial transformations in land use patterns due to rapid urban expansion, economic development, and population growth. These changes have significantly impacted the structure and services of regional ecosystems. Conducting a quantitative analysis of the influence of land-use changes on ecosystem service value (ESV) proves to be invaluable for guiding regional land planning and environmental conservation efforts. Utilizing land use data, we calculated ESV variations linked to dynamic land-use changes spanning the period from 1980 to 2020. This comprehensive study delved into the spatiotemporal fluctuations and regional disparities in ESV. To enhance the reliability of our evaluation, we applied a regional coefficient to adjust the equivalent factor of ecosystem service value. Over the 40 years, the total ESV exhibited a decrease from USD 122,215.03 million to USD 121,838.82 million. Notably, water supply experienced the most significant decline, while hydrological regulation witnessed the largest increase. The continuous decline in water supply service capacity raises concerns about exacerbating water resource shortages in the region. Spatially, the ESVs in the study region primarily concentrated within the medium-low to medium-high value range. However, except for regions with medium values, the area of other level regions is expanding, and is particularly evident in the increase in low-value regions. The reduction of forestland, grassland, and cultivated land, coupled with the expansion of built-up land, emerged as the primary contributors to the overall ESV decrease. In particular, the negative ecological contribution rate of built-up land reached 37.97%, and the ESV decreased by USD 866.64 million, underscoring that the expansion of water bodies could not compensate for this loss. The study highlights the increasing sensitivity of ESV to land-use changes in the region. As a response, there is a pressing need for managers to reinforce the implementation of ecological engineering and engage in rational planning for production, living, and ecological spaces. This research serves as a crucial reference for establishing an ecological security pattern system and fostering the sustainable development and utilization of land resources in the region.

Research on industrial structure adjustment and spillover effect in resource-based regions in the post-pandemic era.

Resource-based regions support national economic development and are essential sources of basic energy and raw materials. In the post-pandemic era, however, there are practical situations to deal with, such as a fractured industrial chain, a weaker industrial structure, and a sharp reduction in economic benefits. Based on data collected from 68 cities in China, from 2010 to 2021, with 816 observations, this paper explores the industrial development process of resource-based regions in China and the change in the toughness of the industrial structure under the impact of COVID-19. The paper studies and analyzes industrial development trends, industrial structure toughness, and spatial spillover effects. The methods used are the Markov chain model and the Industrial Structure Advancement Index. By building the spatial Dubin model, the paper analyzes the spatial spillover effect of regional industrial development. It decomposes the spillover effect using the partial differential model based on regression. The results show that, during the study period, the comprehensive development level of industries in resource-based regions in China was slowly improving and tended to stabilize after entering the post-pandemic era. The evolution of an advanced industrial structure is significantly heterogeneous among regions, and each region has different toughness. The impact of COVID-19 has reduced the toughness of China's resource-based regions' industrial structure. The spatial spillover effect of regional industrial development is significant. Labor force, technology input, and industrial-structure optimization have different impacts on the industrial development of neighboring regions. In the post-pandemic era, China has used new management methods for more innovation. In order to achieve low-carbon, environmental protection, and sustainable development of resources, realize the rapid recovery of the toughness of industrial structure in China's resource-based cities, and reduce the impact of the COVID-19 pandemic, China proposes to expand the supply of resources, improve the allocation of resources, optimize the direction, promote the rational flow and efficient aggregation of various factors, and enhance the impetus for innovation and development.

The nexus between resource depletion, price fluctuations, and sustainable development in expenditure on resources

The recent Inflation Reduction Act (IRA) proposals are expected to take a number of measures. These include financial incentives to improve energy efficiency, reduce pollution and increase the climate resilience of households. Furthermore, the use of natural resources (NTR) is critical in driving energy demand in industry and households. However, NTRs also play an important role in increasing carbon emissions (CO2), which can lead to various diseases. Healthcare (HLT) has complex issues such as rising costs due to inflation (INF), stalled improvements in population-wide outcomes, stalled access due to clinical staff shortages, and COVID-19 intensify. Therefore, this study aimed to investigate the effects of NTR, CO2, and INF on HLT. In addition, this study also considers short-term and long-term volatility and does so by employing an asymmetric (non-linear) ARDL model. Application of NARDL resulted in positive shocks to NTR, INF, and CO2 that increased HLT, whereas negative shocks to NTR, INF, and CO2 decreased HLT. Based on the findings, it is recommended that there is an urgent need to identify measures that can be taken to utilize the NTR best and facilitate the sustainable efforts being promoted by the IRA.

Sustainable resource management in China's energy mining sector: A synthesis of development and conservation in the FinTech era

The optimal exploitation of energy and mineral resources is crucial to the optimal allocation of resources and the sustainable development of Society. Based on the optimal control theory, this paper establishes a dynamic model of inter-period optimal exploitation of mineral resources and examines the impacts of energy resource supply and environmental pollution with the help of a panel data vector autoregressive (PVAR) model under the constraints of environmental regulations and technological advances in each region. These results show that the estimated coefficient for the one-period lag of energy supply is significantly positive at the 1% level, indicating that a positive shock resulting in increased energy supply in the preceding period is associated with a pronounced escalation in environmental pollution. Meanwhile, the estimated coefficient for the one-period lag of environmental pollution is negative at the 1% level. In contrast, the estimated coefficients for the one-period lag of environmental regulation and technological progress are positive. It implies that positive shocks in the intensity of environmental regulation and technological progress in the previous period contribute to a more efficient energy supply. Furthermore, the estimated coefficient for the one-period lag of environmental pollution and energy supply is significantly positive at 1%. It suggests that heightened environmental pollution and energy shortages in the preceding period prompted the government to undertake necessary measures to address these issues. Therefore, establishing a theoretical model that meets the characteristics of China's resources will be conducive to realizing sustainable development of resources and the environment.

Comprehensive Study on Microscopic Pore Structure and Displacement Mechanism of Tight Sandstone Reservoirs: A Case Study of the Chang 3 Member in the Weibei Oilfield, Ordos Basin, China

With the continuous growth in global energy demand, research and development of unconventional oil and gas reservoirs have become crucial in the field of energy. This study focuses on the Chang 3 reservoir of the Yanchang Formation in the Ordos Basin, Weibei Oilfield, China. This reservoir is a typical tight sandstone reservoir, and its microscopic pore structure and displacement mechanism are essential for the efficient development of tight oil. However, the reservoir faces challenges such as complex microscopic pore structures and unclear displacement mechanisms, which hinder the efficient development of tight oil. In light of these challenges, through various studies including core observation, high-pressure mercury injection tests, water flooding experiments, oil-water two-phase relative permeability measurements, and stress sensitivity experiments, it was found that the Chang 3 reservoir exhibits strong microscopic heterogeneity. The pore-throat distribution characteristics mainly present two types: single peak and double peak, with the double peak type being predominant. The reservoir was classified and evaluated based on these characteristics. The improved injection ratio and properties enhance oil displacement efficiency, but an increase in irreducible water saturation has a negative impact on efficiency. The stress sensitivity of the reservoir fluctuates between weak and strong, with permeability being sensitive to net confining pressure. It is recommended to pay particular attention to the stress-sensitivity characteristics during reservoir development. The research results provide a scientific basis for the optimized development of tight oil reservoirs in this region, promote the sustainable development of unconventional oil and gas resources, and have significant theoretical and practical implications.

Comparative Assessment of Conventionally and Locally Sourced Surfactants for Enhancing Steam Flooding Techniques for Heavy Oil Recovery in Niger Delta

The recovery of heavy oil reserves presents a significant challenge in the petroleum industry due to its high viscosity and poor mobility characteristics. Steam flooding, as a thermal Enhanced Oil Recovery (EOR) technique, has shown promise in mobilizing heavy oil deposits. However, the limited success of conventional steam flooding in heavy oil reservoirs necessitates innovative approaches. This study explores the utilization of conventional and locally sourced surfactants in surfactant-enhanced steam flooding (SESF) for heavy oil recovery in the Niger Delta region. The study examines the selection, formulation, and injection of surfactants specifically tailored for heavy oil reservoir conditions. Laboratory experiments, core flooding tests, and numerical simulations are conducted to evaluate the impact of surfactants on interfacial tension reduction, wettability alteration, and improved oil mobility in heavy oil reservoirs subjected to steam flooding. The project’s findings demonstrate the significant potential of (SESF) for heavy oil recovery. The synergistic effects of surfactants and steam, including the reduction of oil-water interfacial tension, lead to increased oil production rates, reduced steam consumption, and enhanced sweep efficiency. Furthermore, economic assessments are conducted to evaluate the feasibility of implementing this approach on a field scale, considering both technical and economic aspects. This study not only contributes valuable insights to the field of heavy oil recovery but also underscores the practicality of surfactant-enhanced steam flooding as an environmentally responsible solution for unlocking the vast heavy oil reserves worldwide. The research bridges the gap between laboratory findings and real-world applications, offering a promising path forward for the sustainable development of heavy oil resources.

SHORT AND LONG-TERM IMPACT OF EDUCATIONAL ENROLLMENT RATES ON ECONOMIC GROWTH: FOR INDONESIA'S SUSTAINABLE DEVELOPMENT OF HUMAN CAPITAL

This research explores the relationship between Indonesia's economic growth and school participation rates. Using the ARDL model and Bounds test cointegration method, the study examines this relationship and finds that investing more in education, particularly at higher levels, can contribute to long-term economic growth. The study emphasizes the role of education in shaping human resources and promoting sustainable economic development. It suggests that increased investment in education can create a stronger pool of skilled workers, leading to economic growth. The research also reveals a temporary increase in employment as a result of education-driven growth, contributing to the sustainable development of human resources. The study highlights the importance of education funding in nurturing human capital and advocates for policy interventions that prioritize education as a driver of Indonesia's long-term development goals. Overall, this study emphasizes the transformative potential of investing in human capital for Indonesia's economy. In conclusion, this study sheds light on the relationship between economic growth and education, emphasizing the transformative potential of investing in human capital for the sustainable development of Indonesia's economy.

Circular economy strategies in supply chains, enhancing resource efficiency and sustainable development goals.

Eco-industrial parks are the real-world implementation of green supply chain management. There is a growing need to include the circular economy concept into supply chain management as a means of striking a better economic, social, and environmental balance, as the importance of the external sustainability of the supply chain is challenging. Using 357 questionnaires filled out by enterprises in China's eco-industrial parks, we examine the connections and causal relationships between resource efficiency, environmental impact, green supply chain management, and circular economy. To learn how a green supply chain's circular economy affects resource efficiency and environmental performance in the China region, this study makes use of the instrumental variable approach (structure equation model (SEM)). The results of this study indicate that environmentally responsible supply chain management and circular economy have beneficial effects on environmental performance and resource efficiency. The management of the GSC has a negative and small impact on economic performance, although each of the components is a substantial contributor to better performance in the environment. Conclusions from this study will assist those responsible for making decisions within supply chains in developing a plan that is useful for increasing a company's performance along economic and environmental dimensions. This study not only broadens our understanding of the factors that influence green supply chain management but also offers theoretical direction for the implementation of successful green production practices by businesses located in eco-industrial parks.

Research and Practice on Green Development of Cultural Tourism Integrated Industry Clusters

This paper focuses on the green development of cultural tourism integrated industry clusters, discussing case studies such as Longquanyi District, Bazhong Guangwushan, and Shuangliu District. It examines from various perspectives the impact factors, development models, and core issues of green development evaluation in cultural tourism integration within industry clusters. Under the guidance of industrial cluster theory, industry integration theory, and sustainable development theory, a research approach is constructed: “Cultural Tourism Integration - Business Model Innovation - Industry Cluster - Green Development Evaluation - Policy Recommendations”. This study deeply analyzes the formation conditions, new business model development, level of green development, and existing problems of cultural tourism integrated industry clusters in different regions, and proposes corresponding policy recommendations. By combining theory with practice, this study provides useful references for promoting the integration and sustainable development of cultural, ecological, and tourism resources.

Assessment of rock glaciers and their water storage in Guokalariju, Tibetan Plateau

Abstract. Rock glaciers are important hydrological reserves in arid and semi-arid regions. Their activity states can indicate the existence of permafrost. To help further explore the development mechanisms of rock glaciers in semi-arid and humid transition regions, this paper provides a detailed rock glacier inventory of the Guokalariju (also known as Goikarla Rigyu) area of the Tibetan Plateau (TP) using a manual visual interpretation of Google Earth Pro remote sensing imagery. We also estimated the water volume equivalent (WVEQ) in the study area for the first time. Approximately 5057 rock glaciers were identified, covering a total area of ∼404.69 km2. Rock glaciers are unevenly distributed within the three sub-regions from west to east, with 80 % of them concentrated in the central region, where climatic and topographic conditions are most favorable. Under the same ground temperature conditions, increases in precipitation are conducive to rock glaciers forming at lower altitudes. Indeed, the lower limit of rock glaciers' mean altitude decreased eastward with increasing precipitation. Estimates of the water storage capacity of rock glaciers obtained by applying different methods varied considerably, but all showed the potential hydrological value of rock glaciers. The possible water storage in the subsurface ice of rock glacier permafrost was 1.32–3.60 km3. The ratio between the amount of subsurface ice stored in rock glaciers and surface ice stored in local glaciers falls within the range of 1:2.32 to 1:1.26, with an average ratio of 1:1.69. In the west region, where the climate is the driest, the water storage capacity of rock glaciers was estimated to be up to twice as large as that of the sub-region's glaciers. Changes in water resources and permafrost stability in the area where rock glaciers occur will have implications for regional water resource management, disaster prevention, and sustainable development strategies.

Heat transfer, crystallization and properties of Bayan Obo tailings-based nanocrystalline glass-ceramics processed with microwave radiation

Using Bayan Obo tailings containing rare earth element as raw material to prepare nanocrystalline glass-ceramics by microwave heating is a feasible scheme for the sustainable development of resources and low-carbon production. In this paper, the effects of conduction, infrared, microwave and plasma heating on nucleation were studied in order to obtain evidence for a thermal and non-thermal microwave effect. The differences in the mechanical properties, high-temperature softening properties and microstructures of the glass-ceramics prepared by conventional and microwave heating were analyzed. The results showed that microwave heating had a higher heating rate than conventional heating. The volumetric heating reduced the dependence of heat conduction within the sample, forming a uniform thermodynamic system for nucleation. The polymeric character of the silicon-oxygen network could be reduced by microwave radiation to promote nucleation, and fine nanocrystals with globular crystals and a uniform microstructure were produced after continuous nucleation-crystallization. In contrast to conventional heat treatment, the flexural strength of the samples increased from 169 MPa to 219.9 MPa under microwave radiation, and the thermal stability improved. The excellent mechanical properties were attributed to the increased Si–O stretching vibration frequency and bond force. In addition, the structure of the diopside cell tended to be dumpy with a decreased β angle, and the crystal orientation was affected. Tailings-based nanocrystalline glass-ceramics with excellent properties can be prepared in a short processing time by microwave heating.

Determination of Groundwater Potential Areas Using Remote Sensing (RS) and GIS Techniques in Mubi North Local Government Area, Adamawa State, North Eastern Nigeria.

This study utilizes Remote Sensing (RS) and Geographic Information Systems (GIS) techniques to determine groundwater potential areas in Mubi North Local Government Area, Adamawa State, Nigeria. The research aim to provide insights for water resource management and sustainable development. Data collected includes Landsat imagery, Digital Elevation Model (DEM), soil data, and vector layers. Preprocessing involved data format conversion, spatial reference alignment, and resolution standardization for compatibility and consistency. Spatial analysis extracted topographic parameters from the DEM and supervised classified Landsat imagery for Land Use/Land Cover (LULC) maps. Six factors, Drainage density, Slope, Soil, Elevation, LULC, and Aspect, were reclassified into low, average, and high groundwater potential indexes. ArcGIS overlay analysis integrated the factors, prioritizing Drainage density, Slope, Soil, and Elevation, to create a composite groundwater potential index. The index was calibrated and classified into five categories: Very Low, Low, Average, Marginally High, and High potential areas. Results reveal diverse groundwater potentials. Very Low areas cover 17,168.23 hectares, Average areas cover 18,534.86 hectares, Marginally High areas cover 19,362.08 hectares, Low areas cover 13,838.41 hectares, and High areas cover 12,757.44 hectares. Spatial distribution shows High potential in settlements like Sabon Gari and Bukkaji, while Very Low potential is found in Wuro Alhaji and Venda. This study contributes to water resource management and sustainable development. Findings aid targeted strategies, benefiting socio-economic development. The research enhances knowledge and informs decision-making for water resource management, fostering development and improving livelihoods in Mubi North LGA.

Enhancing Sustainability and Efficiency in Offshore Oil and Gas Engineering through the Integration of Chaotic Local Search and Particle Swarm Optimization for Microenergy Systems Optimization

The offshore oil and gas industry is under increasing pressure to reduce carbon emissions while maintaining energy reliability. Offshore oil and gas platforms (OOGPs) face significant challenges in integrating low‐carbon operations with their energy systems. This study introduces an optimized scheduling approach for offshore microintegrated energy system (OMIES) that incorporates a hybrid energy storage system, including a floating power‐to‐gas associated gas storage (FP2G‐AGS) module, to address the intermittency of renewable energy sources. An economic optimization model is formulated, accounting for carbon emissions, operational costs, and the status of gas turbine generator sets. To solve the complex optimization problem, this study develops a hybrid chaotic local search and particle swarm optimization (CLPSO) algorithm. The CLPSO algorithm synergizes the global search ability of PSO with the local refinement of chaotic local search, enhancing the convergence to optimal solutions. Experimental results demonstrate that the proposed CLPSO algorithm effectively achieves optimal solutions within a range of 48.2–51.7. Case studies validate the model’s capability to promote new energy integration, reduce operational costs, and decrease CO2 emissions across various scenarios. This research significantly contributes to achieving low‐carbon operations on OOGPs and promotes the sustainable development of marine resources.

Development of water resources infrastructure in the Kyrgyz Republic: conflict potential

The article examines the potential of the infrastructure of water resources of the Kyrgyz Republic through the prism of the economic sustainability of the country, as well as issues of management and use. Water resources management is crucial for the further development of Kyrgyzstan. This includes improving the efficiency of water use in agriculture, responsible and sustainable development of hydropower resources, ensuring access to clean water for all segments of the population. The problems facing the water resources of Kyrgyzstan are noted, which, with the right policies, can use its water resources to promote economic growth and improve the well-being of its citizens. The potential of the water resources of the Kyrgyz Republic, which play an important role in the economic and political security of not only our country, but also the entire region of Central Asia, is considered. The water resources of the Kyrgyz Republic are completely formed on its own territory, and this is the political, economic and strategic advantage of the country. Kyrgyzstan is the only country in Central Asia with impressive water and hydropower resources. This should be Kyrgyzstan’s biggest chance as a “water power”.

Research on Marine Target Detection and Recognition Based on YOLO Algorithm

Abstract Marine target detection is a crucial technology for developing and utilizing marine resources, and fast and accurate detection of marine organisms is of great research significance for sustainable development and protection of marine resources. In this paper, we first discuss the convolutional neural network and attention mechanisms in deep learning and then present the YOLO series of algorithms for target detection. Then, we take ResNeXt50 as the backbone network, introduce the global attention mechanism and ASFF module to establish the GA-YOLOv5s model for marine life target detection and recognition, and also design the training strategy of the model through migration learning. Simulation experiments are planned to verify the analysis after considering the feasibility of the GA-YOLOv5s model for marine target detection and recognition. The YOLO algorithm, based on multiple improved strategies, improves the mAP@0.5 of marine target detection and recognition by 5.68%. The detection speed of the model after incorporating the GAM module is 48.51FPS; the model using ASFF mAP@0.5 increased by 3.38%; and the average precision and recall of the model for marine target detection and recognition are 82.79% and 80.17%, respectively. Based on the YOLO algorithm, accurate detection and recognition of marine targets can be achieved, which provides reliable technical support for enhancing the exploitation and protection of marine resources.