Ecological Environment System Research Articles

The Removal and Mitigation Effects of Biochar on Microplastics in Water and Soils: Application and Mechanism Analysis

Due to their widespread distribution, microplastics (MPs) are endangering the soil ecological environment system, causing water pollution and altering the soil’s physicochemical and microbiological features. Because of its unique pore structure and strong stability, biochar is widely used as an adsorbent. However, the effects of MP–biochar interactions in water and soil environment are still unclear. This review outlines the application and mechanism of biochar as an adsorbent in a water environment for the removal of MPs. Also, biochar serves as remediation material for MPs in soils as it mitigates the adverse effects of MPs on soil properties, enzyme activities and soil microbial community. It was found that woody biochar had the highest yield and was more effective in adsorbing MPs. Further research should focus on the combined effects of biochar and MPs, the environmental risks of biochar, the modification of biochar application of MP-removal technologies, the characterization of MP properties, the remediation of combined contamination of MPs and other pollutants, and the transportation of MPs.

Leveraging intergovernmental data sharing for digital transformation in ecological and environmental protection

The data-sharing problem in the digital transformation of ecological environmental protection is a result of complex interactions and continuous strategic interactions among governments. While existing research has focused on the application and impact of digital technologies in ecological environmental protection, there remains a paucity of micro-level investigations into data sharing among different local governments regarding ecological environment protection. Notably, the issue of data barriers between local governments is particularly prominent. This paper analyzes the data-sharing problem in the digital transformation of ecological environmental protection through an evolutionary game model involving central and local governments, providing new perspectives and methods for understanding and improving data sharing and governance of ecological environmental protection, thereby promoting the digital transformation of the ecological environmental governance system and governance capacity. It finds that six stable equilibrium strategies can form based on local government participation levels, with the superior government's active promotion and regulation being crucial for achieving stable, multi-party participation. Key factors include the superior government's administrative costs and incentives, and local governments' benefits, costs, and risk considerations. The study highlights the importance of benefit-sharing rules and provides optimization strategies for enhancing intergovernmental data sharing.

A Critical Review of the Crucial Role of the Yellow River's Sediment in the Interfacial Migration and Fate of Pollutants and Prospects for the Application of Environmental Sediment Restoration.

Considering the increasing sediment content and increasing sediment flux of the Yellow River over the years, it is of significance to investigate the potential interfacial force mechanism between pollutants and Yellow River sediment. This article has reviewed the current research on the Yellow River sediments' mineral structures while investigating the potential interaction force between sediment and pollutants in the water environment. This article has conducted a comprehensive analysis of the influence of sediment on the migration of pollutants in the water environment. What is more, the authors have provided an outlook on the future applications of sediment in ecological environmental systems. Yellow River sediment mainly included minerals and some clay phases, while its irregular surface provided sites for the interface adsorption of pollutants. The interface force between the sediment and pollutants is mainly attributed to promoting bacterial growth on the surface of sediments, physisorption, and chemisorption forces. The sediments carry and transport pollutants during the long-distance water flow migration process. The sediment should be effectively utilized and better integrated into ecological or environmental restoration systems. This article provides a reference for studying the behavior of Yellow River sediment and the direction of future efficient utilization.

Coupling synergy level and interaction effect between the ecological environment and low-carbon development in the Yangtze River Delta urban agglomeration: Characteristics of spatial and temporal heterogeneity

Low-carbon development and the ecological environment are often assessed separately, but understanding their interaction effect and the coupled coordination development from a spatially heterogeneous perspective remains limited, particularly in the context of rapidly urbanizing urban agglomeration regions. To address this research gap, this study assessed the levels and variations in coupled coordinated development between low-carbon development and the ecological environment at the urban agglomeration level using a coupled coordination degree model. Key factors of the interaction effect for each system were initially identified by ordinary least squares, then a geographically and temporally weighted regression model was used to reveal the spatial and temporal heterogeneity of these factors. Our study showed that the comprehensive development level of low-carbon development system in all cities exceeded that of the ecological environment system from 2006 to 2021. However, the level of synergy between the two systems showed slight improvement, with most cities exhibiting a moderate balance from 2010 to 2020. Regional heterogeneity was apparent in the coordinated development types, with highly balanced cities located primarily in the west and north of the urban agglomeration. Furthermore, our findings illustrated the positive effect of the air and climate environment on low-carbon development, contrasted with the negative influence of the land environment. These results not only enrich our understanding of low-carbon development and ecological environment interrelations in the Yangtze River Delta urban agglomeration but also provide insights applicable to similar regions worldwide, thereby contributing to the global discourse on synergistic sustainable development of low-carbon and ecological environment.

Effects of Drug and Substance Abuse on Academic Performance among Secondary School Students, Kauma Subcounty, Kilifii County, Kenya

Purpose: The study aims at investigating effects of substance abuse in Kauma Sub County of Kilifi County of the Coast Province. The Purpose is of the study is to uncover the effects of substance abuse and its relation to academic performance in Secondary schools in Kauma, with the purpose of recommending how to address the Situation. Methodology: The study involves Random selection of Schools and random filling of questioners by learners and Teachers. It was pegged on Uri Bronfenbrenner’s’ Ecological Contextual Theory (1979). Which denotes that behavior is controlled by ecological environmental systems that affects positively or negatively the personality of man culminating to the totality of one’s character. Findings: The research found that the cultural norms of Disco Matanga has greatly contributed to Palm wine (Mnazi), Muguka/ Ghat and Marijuana abuse. Efforts by the Presidency to address the issue and stop the vice has met stiff resistance from locals and politicians for their own motives which were not captured in this research. The research also found that 70% of Secondary school students scored D plus and below in National Examinations. Unique Contribution to Theory, Policy and Practice: The research recommends collaborative efforts on addressing drug abuse in secondary school students and the use of Faith based organizations , academic institutions, Intercountry – National and NGO approaches in Guidance and Counselling with emphasis to co-curricular and art therapies to first educate and inform the population on the effects of drug Abuse, the economic strain on both county and national government on rehabilitation and apply the multi sectorial approach to scaffold the emotional, mental, physiological effects on health and academics with subsequent methods to address the issue including further research studies..

Analysis of Landscape Pattern Evolution and Impact Factors in the Mainstream Basin of the Tarim River from 1980 to 2020

The mainstream basin of the Tarim River serves as a vital ecological security barrier that prevents the merging and expansion of deserts and an important strategic corridor directly linking Qinghai and Xinjiang. With society’s development and climate change, ecological issues such as river interruption, vegetation degradation, and land desertification in the basin have notably intensified, and the ecological security is facing a critical test. Exploring the characteristics of landscape changes and their driving factors within the basin is crucial in improving the ecological environment system’s management. Based on land use data from 1980 to 2020, this study analyzed the characteristics of the spatiotemporal changes and pattern evolution of the landscape through a landscape transfer matrix and landscape pattern indices. It further revealed the impact factors of the landscape pattern through canonical correspondence analysis. The results showed that (1) in 1980–2020, the areas of desert, forest, farmland, and settlement landscapes increased, while the area of grassland landscape decreased, and the water landscape showed an “increasing–decreasing–recovery” pattern. The landscape transition types mainly included the transition from grassland to desert; mutual transitions among farmland, grassland, and forests; mutual transitions between water and grassland; and the transition from farmland to settlements. (2) The overall landscape pattern demonstrated increased fragmentation, shape complexity, and evenness with decreased aggregation. Furthermore, different landscapes exhibited distinct characteristics of landscape pattern changes; for instance, grassland landscape showed severe fragmentation, while desert landscape displayed the strongest dominance. (3) The landscape pattern was a result of the combined impact of natural and human factors, with the soil thickness (SOT), road density (ROD), annual actual evapotranspiration (AAE), population density (POD), and mean annual temperature (MAT) exhibiting significant influences. Specifically, the settlement and farmland landscapes were mainly influenced by the mean annual relative humidity (MAH), POD, GDP density (GDP), and distance to artificial water (DAW); the forest, grassland, and water landscapes were mainly influenced by the SOT, soil organic matter content (SOM), AAE, ROD, elevation (ELE), MAT, slope (SLP), and distance to natural water (DNW); and the desert landscape was mainly influenced by the DAW, DNW, SLP, AAE, SOT, SOM, and ROD. These findings can provide a scientific reference for landscape management and restoration, as well as sustainable social and economic development, in the mainstream basin of the Tarim River.

Research on the impact of digital economic development level on ecological environment

PurposeExploring the intrinsic connection between the ecological environment and the digital economy and empirically testing how the level of digital economic development affects the ecological environment. Using the entropy weighting method to analyze the weights of the indicators in the digital economic development level and ecological environment system to explore the factors that have the greatest impact on the ecological environment in the indicator system of the digital economic development level so as to deepen the theoretical understanding of the relationship between the level of development of the digital economy and the ecological environment. Explore the regional heterogeneity of the level of development of the digital economy to promote the healthy development of China’s ecological environment proving the difference in the level of development of the digital economy in the east west and central regions of China and the difference in the effect on the ecological environment.Design/methodology/approachBased on the panel data of 30 provinces in China from 2013 to 2021 this paper fits the index system of digital economy development level with three factors. A digital infrastructure digital industry and digital application combines environmental pollution and energy consumption to construct ecological environment indicators and explored the impact of digital economy development level on the ecological environment by using the entropy weight method and the random effect model.FindingsThe findings indicate that the degree of digital economic development has a positive and significant impact on promoting the healthy development of the ecological environment, in which the digital industry has the greatest impact on the ecological environment. Meanwhile, the improvement of industrial structure also has a positive effect on the improvement of the ecological environment, whereas the level of human capital inhibits the healthy development of the ecological environment, and the governmental support fails to effectively and significantly promote the improvement of the ecological environment. Furthermore, the empirical research indicates that the level of digital economy development has obvious regional heterogeneity on the healthy development of the ecological environment: the eastern and central regions have a significant effect, while the western region has a less significant effect.Originality/valueAlthough domestic and foreign scholars and experts have conducted sufficient studies on the ecological environment and the development level of digital economy respectively, there are few studies on the empirical analysis of the positive significance and regional heterogeneity of the impact of the development level of digital economy on the ecological environment, which can be supplemented and referred to in this study. At the same time, it also provides intellectual support for our country to achieve high-quality development of digital economy and efficient governance of ecological environment.

Study on the Coordinated Development Model of Ecological Economy and Environmental Protection

This paper establishes a comprehensive evaluation index system of the ecological environment and the economy, and the coupling degrees and coordination degrees from 2015 to 2019 are calculated. The results show that (1) There is a relationship between economic growth and environmental pollution. Discharging industrial pollutants is an important factor affecting the coordinated development of the ecological environment and economic coupling. (2) The comprehensive evaluation index of the ecological environment and economic development systems is increasing yearly, and the quality of the ecological environment and the level of economic development are constantly improving. (3) The value of the coupling degree and coupling coordination degree between ecological environment and economic development is increasing yearly, and the development trend is good. The coupling degree gradually shifts from low-level coupling to high-level coupling stage.

A study on the spatial and temporal evolution patterns of water resource–ecology–social economy composite system resilience in the Huaihe River Basin

ABSTRACT Water resources are important supporting elements in the ecological environment and socio-economic system of sustainable development. The purpose of this study is to evaluate the comprehensive resilience level of the water resources–ecology–socioeconomic system against external disturbances in the Anhui and Shandong sections of the Huaihe River Basin. The comprehensive index system is constructed with the characteristic dimensions of resistance, resilience, and adaptability. Use the game theory combination weighting-VIKOR method to quantify the resilience level, and use the kernel density analysis and Markov chain to explore the spatial and temporal evolution characteristics and transition probability. The results show that (1) the resilience index of the composite system in the Huaihe River Basin shows an increasing trend, and the resilience level of the Anhui section is generally higher than that of the Shandong section. (2) The resilience level gradually evolved into the spatial distribution characteristics of high in the west and low in the east, high in the south and low in the north during the study period. (3) The resilience grade has strong robustness, and the probability of transferring to the higher grade is greater than that of transferring to the lower grade.

The coupling relationship between marine industry agglomeration and ecological environment system from the perspective of ecological environment

To analyze the coupling relationship in marine industry agglomeration and ecological environment system, this study used the formula of location entropy coefficient for measuring the development agglomeration status of marine industry. Meanwhile, it also separately measures the degree of agglomeration of the primary, secondary, and tertiary industries in the ocean to reveal their degree of agglomeration in the region. In addition, a coupled correlation analysis model was designed. It uses grey relational analysis to reveal the relationships between data series in situations of insufficient data. Finally, a coupled coordination evaluation model was proposed. It evaluates the coupling status between the marine industry cluster and the ecological environment by calculating the capacity coupling coefficient, coupling degree, and coupling co scheduling. The results show that from 2013 to 2022, the agglomeration trend of the marine industry in Jiaodong Peninsula Province has undergone different changes. The location entropy coefficient of the primary industry increased from 1.3047 to 1.0987, while the location entropy coefficient of the secondary industry gradually increased from 0.2486 to 1.1141. The coupling coordination degree R between the marine industry agglomeration system and the ecological environment system has increased from 0.3986 to 0.6253. From 2018 to 2022, the coupling between the marine industry and ecological environment development has increased, gradually moving towards stability and coordination. This indicates that over the past decade, the development of the marine industry in Jiaodong Peninsula Province has placed greater emphasis on ecological protection, and has formed a positive interaction, promoting the coordinated development.

Study on the Coordinated Development of Tourism Industry–Regional Economy–Ecological Environment in the Yili River Valley

This study aims to clarify the relationship among the three systems of tourism industry, regional economy, and ecological environment in the Yili River Valley, which is essential for the sustainable development of the region. We explore the spatio-temporal evolution characteristics and influencing factors of the tourism–economy–ecosystem in the Yili River Valley using the center of gravity model, spatial mismatch index model, spatial variance model, and obstacle degree model, based on panel data from 2010 to 2019. The study shows that (1) the comprehensive development indices of the tourism industry, regional economy, and ecological environment in the Yili River Valley exhibit varying degrees of growth trends. Smaller increases are observed in ecological environment indices, while larger increases are found in regional economy and tourism industry indices. Both the regional economy and tourism industry indices share a strong correlation and similar development trends. (2) At the macro-regional scale, during the study period, the centers of gravity of the tourism industry, regional economy, and ecological environment in the Yili River Valley have consistently been separated from the spatial geometric center of the region. The degree of misalignment of the centers of gravity of the three systems as a whole has gradually reduced, indicating that the level of coordinated development of the region has continuously improved. (3) At the micro-regional scale, during the study period, most of the spatial misalignment indices of the Yili River Valley regions showed positive and negative fluctuations, and the types of misalignment varied to different degrees. However, the gap in spatial misalignment indices between different regions gradually narrowed, and the divergent characteristics of “east-west concentration, north-south dispersion” were gradually broken, with the overall indices showing a balanced development trend. (4) The spatial dislocation index of each region in the Yili River Valley is affected by multiple systems and factors, and the overall spatial dislocation factors are mainly the comprehensive utilization rate of general solid waste, exhaust gas emission, dust removal amount, etc., which mostly originate from the ecological environment system.

Primary driving factors of ecological environment system change based on directed weighted network illustrating with the Three-River Headwaters Region

The primary driving factors of ecological environment change have received significant attention. However, previous research methods for identifying the main drivers of ecological environment change have primarily relied on correlation analysis and regression analysis. While these methods can reveal co-occurrences, associations, and correlations among elemental characteristics, they often struggle to uncover the deep-seated interactions among elements within complex, unstable, nonlinear, and high-dimensional systems. To address this, we used the Three-River Headwaters Region as a case study and introduced a complex network model from the perspective of the ecological environment system to investigate the main driving factors of ecological environment change. In our analysis, we considered 12 factors related to the atmosphere, hydrology, vegetation, and soil, including evaporation, long-wave radiation, short-wave radiation, specific humidity, soil temperature, precipitation rate, soil water content, air temperature, air pressure, vegetation normalization index, wind speed, and natural surface runoff. Watersheds were selected as the fundamental units for constructing ecological environment datasets. We applied the Ensemble Empirical Mode Decomposition (EEMD) method and Hilbert-Huang Transform (HHT) to analyze causal relationships between time series pairs and constructed two directed weighted network models based on sub-catchments. The results showed that both network models yielded consistent conclusions, with the sparse network exhibiting higher efficiency. Radiation and temperature were identified as the primary driving factors of ecosystem change, and the water cycle was determined to be the ultimate manifestation of ecological system change throughout the Three-River Headwaters Region. Furthermore, based on node out-strength, we generated a vegetation protection priority map.

Highway Ecological Environmental Assessment Based on Modified Remote Sensing Index—Taking the Lhasa–Nyingchi Motorway as an Example

The Lhasa to Nyingchi Expressway in Xizang made efforts to protect the ecological environment during its construction, but it still caused varying degrees of damage to the fragile ecosystems along the route. Accurately assessing the process of change in the ecological environment quality in this region holds significant research value. This study selected the Linzhi-to-Gongbo’gyamda section of the Lhasa-to-Nyingchi Expressway as the research area. Firstly, based on the remote sensing ecological index (RSEI), this study constructed an ecological environmental quality evaluation system for the Xizang region. Subsequently, using the Google Earth Engine (GEE) platform, sub-indicators were extracted, and the combination weighting method of game theory was employed to determine indicator weights. This process resulted in the calculation of the MRSEI for the study area from 2012 to 2020. Finally, by utilizing the spatial distribution of the MRSEI, monitoring the level of MRSEI changes, and employing the transition matrix, this study analyzed the changing trend of the ecological environmental quality from 2012 to 2020. The results indicate that the MRSEI are 0.5885, 0.5951, 0.5296, 0.6202, 0.59, 0.5777, 0.5898, 0.5703, and 0.5987, showing a gradual increasing trend with an initial decrease followed by an ascent. This trend is mainly attributed to concentrated road construction and subsequent ecological restoration, leading to an improvement in the restoration effect. Simultaneously, the ecological environmental quality remains relatively stable, with 69.5% of the region showing no change, and the remaining 30.5% experiencing improvement exceeding degradation. Specifically, there were significant improvements in the land with ecological quality levels categorized as poor, fair, moderate, and good. The types of degradation primarily involved lands originally classified as excellent and good degrading to good and moderate levels, respectively. The above results serve as a theoretical reference for the ecological restoration project of the Lhasa-to-Nyingchi Expressway.

MangroveSeg: Deep-Supervision-Guided Feature Aggregation Network for Mangrove Detection and Segmentation in Satellite Images

Mangrove forests are significant participants in coastal ecological environment systems. For the development of protection strategies, it is crucial to automatically and accurately detect the distribution and area of mangroves using satellite images. Although many deep-learning-based mangrove detection and segmentation algorithms have made notable progress, the complex regional structures and the great similarity between mangroves and the surrounding environment, as well as the diversity of mangroves, render the task still challenging. To cover these issues, we propose a novel deep-supervision-guided feature aggregation network for mangrove detection and segmentation called MangroveSeg, which is based on a U-shaped structure with ResNet, combining an attention mechanism and a multi-scale feature extraction framework. We also consider the detection and segmentation of mangroves as camouflage detection problems for the improvement and enhancement of accuracy. To determine more information from extracted feature maps in a hidden layer, a deep supervision model is introduced in up-sampling to enhance feature representation. The spatial attention mechanism with attention gates is utilized to highlight significant regions and suppress task-independent feature responses. The feature fusion module can obtain multi-scale information by binding each layer to the underlying information and update feature mappings. We validated our framework for mangrove detection and segmentation using a satellite image dataset, which includes 4000 images comprising 256 × 256 pixels; we used 3002 for training and 998 for testing. The satellite images dataset was obtained from the Dongzhaigang National Nature Reserve located in Haikou City, Hainan Province, China. The proposed method achieved a 89.58% overall accuracy, 89.02% precision, and 80.7% mIoU. We also used the trained MangroveSeg model to detect mangroves on satellite images from other regions. We evaluated the statistical square measure of some mangrove areas and found that the evaluation accuracy can reach 96% using MangroveSeg. The proposed MangroveSeg model can automatically and accurately detect the distribution and area of mangroves from satellite images, which provides a method for monitoring the ecological environment.

Research on the coupling and coordinated development of agricultural economy and ecological environment system in Chongqing municipality

Research on the coupling and coordinated development of agricultural economy and ecological environment system in Chongqing municipality

Research on the coupled and coordinated development of agroecological and agroeconomic theory systems in the context of digitalization

Abstract This paper firstly constructs the matrix of eigenvalues of agricultural economy and ecological environment based on the original data, uses the entropy value method to judge the degree of dispersion of the indexes, determines the weights of the comprehensive evaluation index system of agricultural economy and ecological environment, and calculates the comprehensive scores of the agricultural economy and ecological environment system based on the weights of the indexes. Then, the synchronization development index model was used to express the coupled and coordinated development relationship between agroecology and agroeconomy. Finally, the regression analysis model was used to analyze the factors that affect the coupled and coordinated development of agroecology and agroeconomy. The level of agroecology in County A grew from 0.1 to 0.85, and the level of agroeconomy from 0.267 to 0.7. The value of agroeconomy and ecology coupling degree increased from 0.434 in 2010 to 0.683 in 2020, and it was gradually transformed from a dysfunction to a barely coupled one. This study deeply analyzes the influencing factors affecting the coupling and coordinated development of the agricultural economy and ecology, which is of great significance for promoting the high-quality development of the agricultural economy and maintaining ecological security.

Nitrogen-derived environmental behavior, economic performance, and regulation potential by human production and consumption in a mega river basin

Human disturbances of the nitrogen (N) cycle have exceeded the carrying threshold of ecological environmental systems. To explore paths for mitigating the environmental impacts and damage costs of N loss in mega river basins, the N-derived environmental behavior, economic performance, and regulation potential by humans in the Yangtze River Basin from 2011 to 2019 were studied using substance flow analysis and life cycle impact assessment. The results show that the intensity of N loss increased until 2015 and then decreased; the average value over the study period was 7413.55 kg N km−2 yr−1. Moreover, fertilizer application intensity was the dominant factor in the decrease of N input and loss. Environmental N loss was higher in the east and lower in the west, while high environmental implications were mainly concentrated in plain areas with a megacity. The mean environmental impact potentials of climate change, acidification, and eutrophication were 3.34 × 1010 kg CO2-eq, 7.01 × 109 kg SO2-eq, and 1.06 × 1010 kg NO3−-eq, respectively. The mean total potential damage costs due to climate change, acidification, eutrophication, and human health were 0.68, 4.34, 17.36, and 12.97 billion $ yr−1, respectively; the total potential cost of damage to human health is closely related to the N loss to atmosphere and hydrosphere. This study demonstrates that integrating the reduction of N losses with improved N use efficiency can effectively reduce N loss and its impact. Future optimized N management for human activities should carefully consider the environmental economy under the changing environment.

Environmental Concerns in Marine Ecology and Strategies for Sustainable Development

Since the commencement of the Industrial Revolution, there has been a gradual and consistent escalation in the level of carbon dioxide emissions, thus causing a drastic alteration in the global climate. As the most substantial ecological environment system on Earth, the marine ecological environment system has also undergone substantial impacts as a result of these climatic changes. Despite its vast size, minor environmental dilemmas were not emphasized initially, leading to momentous qualitative changes caused by the quantitative ones; consequently, human face critical concerns related to marine ecological environment today. The intent of this study is to delineate corresponding sustainable development approaches for the persisting environmental issues under the theoretical framework of sustainable development. Initially, the causes of climate change are discussed, and the undeniably significant role humans have played is examined. Subsequently, alterations in climate change affect various segments of the marine ecosystem differently concerning seawater hydrological conditions, consequently producing a series of chain reactions that ultimately affect the overall marine ecological environment. Various sustainable development strategies have been proposed under the theoretical framework of sustainable development to address the multiple minor problems that contribute to the overall marine ecological environment issues. This study endeavors to present an extensive summary of the marine ecological environment issue in its entirety; however, it should be followed by further in-depth analysis and consolidation of the ecological environment issues of disparate links in the ecosystem, thereby increasing the effectiveness of the targeting approach. This paper expects that through this study, the specific impact of climate change on the marine ecological environment and the direction that human society must work towards to achieve improvement would be made more evident.

Construction of a coupled evaluation index system of rural habitat environment and rural tourism in China based on multi-objective optimization algorithm

Abstract This paper presents a coupled evaluation of rural habitat environment as well as rural tourism in China based on a multi-objective optimization algorithm. Firstly, the ANN model is used as the three objective evaluation function values of CVBEC, LCC and LCCO2 as the dependent variables, and the NSGA-II algorithm is introduced as the optimization algorithm for the multi-objective optimization of rural architectural design. Secondly, based on the ANN-NSGA-II algorithm, an improvement strategy is proposed for the rural building environment algorithm, and the multi-objective discrete particle swarm algorithm with a dominant ranking number is applied to rural tourism route planning. Then the coupled evaluation system of rural habitat environment and rural tourism is constructed by first and second-level indicators. Finally, the coordination degree and spatial autocorrelation analysis of the multi-system coupling relationship are conducted for the coupling evaluation system. The study shows that the coordinated development degree P value increased from 0.02 in 2017 to 0.83 in 2022, Moran’s I index of living environment and ecological environment system is greater than 0, and the Z value is greater than 1.63.

ASSESSMENT OF CHANGES IN THE QUALITY OF THE ENVIRONMENT IN THE LVIV REGION ON THE BASIS OF ENVIRONMENTAL INDICES OF REMOTE SENSING

The ecological environment system is closely related to human daily life. With the acceleration of industrialization and urbanization, various human activities have brought great impacts on the local ecological environment. Timely and accurate evaluation of spatial and temporal changes in the quality of the ecological environment helps policy makers to understand the current status of the ecological environment in the region, and is of great significance for the rational development of ecological environmental protection and policies, which has become a research priority in the field of ecology. In this study, Lviv Oblast, an important region in western Ukraine, is taken as the study area, and the remote sensing ecological index remotely sensing ecological index (RSEI) of Lviv Oblast for 2015 and 2021 was constructed based on remote sensing technology, and the ecological quality of Lviv Oblast during six years was rapidly monitored and evaluated, and the results of the study show that the The average values of RSEI in 2015 and 2021 are 0.66 and 0.68, respectively, indicating a gradual improvement of ecological quality. This reflects the small impact of the deterioration of the ecological environment caused by human activities in the region in recent years.This study provides a methodological reference for evaluating the quality of the ecological environment in the Lviv region, which is of some value for the rational planning of local ecological and environmental protection strategies and policies for sustainable economic development.