Ecological Environment Protection Research Articles

Metagenomic Insight into the Effect of Probiotics on Nitrogen Cycle in the Coilia nasus Aquaculture Pond Water.

Recently, probiotics have been widely applied for the in situ remediation of aquatic water. Numerous studies have proved that probiotics can regulate water quality by improving the microbial community. Nitrogen cycling, induced by microorganisms, is a crucial process for maintaining the balance of the aquatic ecosystem. Nevertheless, the underlying mechanisms by which probiotics enhance water quality in aquatic systems remain poorly understood. To explore the water quality indicators and their correlation with nitrogen cycling-related functional genes, metagenomic analysis of element cycling was performed to identify nitrogen cycling-related functional genes in Coilia nasus aquatic water between the control group (C) and the groups supplemented with probiotics in feed (PF) or water (PW). The results showed that adding probiotics to the aquatic water could reduce the concentrations of ammonia nitrogen (NH4+-N), nitrite (NO2--N), and total nitrogen (TN) in the water. Community structure analysis revealed that the relative abundance of Verrucomicrobiota was increased from 30 d to 120 d (2.61% to 6.35%) in the PW group, while the relative abundance of Cyanobacteria was decreased from 30 d to 120 d (5.66% to 1.77%). We constructed a nitrogen cycling pathway diagram for C. nasus aquaculture ponds. The nitrogen cycle functional analysis showed that adding probiotics to the water could increase the relative abundance of the amoC_B and hao (Nitrification pathways) and the nirS and nosZ (Denitrification pathways). Correlation analysis revealed that NH4+-N was significantly negatively correlated with Limnohabitans, Sediminibacterium, and Algoriphagus, while NO2--N was significantly negatively correlated with Roseomonas and Rubrivivax. Our study demonstrated that adding probiotics to the water can promote nitrogen element conversion and migration, facilitate nitrogen cycling, benefit ecological environment protection, and remove nitrogen-containing compounds in aquaculture systems by altering the relative abundance of nitrogen cycling-related functional genes and microorganisms.

Evaluation of ecological carrying capacity and construction of ecological security pattern in West Liaohe River Basin of China

The West Liaohe River Basin (WRLB) is a typical agro-pastoral interlaced zone in Northeast China where excessive economic development activities brought great pressure on the ecosystem and caused a series of ecological problems, having a negative effect on regional ecological carrying capacity (ECC). The rational construction of ecological security pattern (ESP) is an effective way to improve regional ECC and alleviate the contradiction between ecological protection and economic development. In this study, taking the WLRB as an example, spatiotemporal changes of ECC in the WLRB from 2000 to 2020 were explored by using spatial principal component analysis (SPCA). Furthermore, ecological sources were determined by coupling ECC evaluation results with important ecological patches such as natural protected areas, and the minimum cumulative resistance (MCR) model combined with the circuit theory method were employed to identify ecological security zoning, ecological corridors and key ecological nodes. Then a comprehensive ESP of the basin was constructed. The results show as follows: 1) The ECC of the overall WLRB was at medium carrying level, yet was spatially differentiated, which decreased from the periphery to the center of the basin in general. ECC showed a fluctuating upward trend from 2000 to 2020. 2) The ecological source area of the WLRB was 21926.91 km², accounting for 17.33% of the total study area. The ecological sources were seriously fragmentated and mainly distributed in the mountain area. The area of ecological conservation zone, optimized buffer zone, ecological transition zone, ecological prevention and control zone were 55672.69 km², 32662.24 km², 23862.84 km² and 12021.04 km², accounting for 44.82%, 26.29%, 19.21% and 9.68%, respectively. We also extracted 95 ecological corridors (with a total length of 3130.97 km), 49 ecological pinch points (with a total area of 200.33 km²) and 30 ecological barrier points (with a total area of 318.30 km²), constituting a “points-lines-planes” comprehensive ecological security pattern. This research can provide scientific reference for the protection and restoration of ecological environment and regional sustainable development.

Research on out-of-sample prediction method of water quality parameters based on dual-attention mechanism

Predicting water quality data is an important measure for ecological environment protection in watersheds. Aiming at the problem that existing prediction algorithms rarely analyze the characteristics of future changes in water quality indicators, this paper proposes an out-of-sample prediction model for water quality parameters based on the dual-attention mechanism. The model adopts the Encoder-Decoder architecture to realize the prediction of data series, and combines the dual attention of dimension and time step to improve the prediction performance of out-of-sample data. The model is used to predict the water quality parameters of a multi-parameter river, analyze the trend of the out-of-sample data, and compare the prediction results with the traditional LSTM network and Encoder-Decoder LSTM network, the prediction accuracies of the water quality indicators are improved, and the prediction accuracy of the out-of-sample data of the water quality indicators reaches 80%. This will be of great significance to the comprehensive management of river waters and the high-quality development of ecological environment.

EXECUTIVE TEAM FAULT LINES AND GREEN INNOVATION PERFORMANCE OF ENTERPRISES - A PERSPECTIVE OF RISK UNDERTAKING

Environmental pollution and ecological degradation are increasingly becoming urgent global issues, drawing widespread attention. Against this backdrop, how businesses can balance economic benefits with environmental protection to ensure sustainable development has become a pressing issue to address. Green innovation, representing a synergistic blend of "innovation-driven" and "green development," can simultaneously meet the requirements for economic growth and ecological environmental protection. In the process of driving green innovation, the executive team plays a crucial role. As the heart of corporate decision-making and execution, the internal differentiation within the executive team, including physiological fault lines based on gender and age as well as task-related fault lines based on education, function, and tenure, affects the team's collaboration and decision-making efficiency, thereby influencing the implementation and outcomes of green innovation. Green innovation projects often entail high risk, difficulty, and long return cycles. 
 When making green innovation decisions, a company's insufficient risk-taking capacity may limit its investment and attempts at green innovation. This study, grounded in upper echelon theory and other theoretical frameworks, selects Chinese manufacturing companies listed from 2015 to 2022 as research subjects. From the perspective of corporate risk-taking, it delves into how physiological and task-related fault lines within the executive team affect green innovation performance by influencing the company's capacity for risk-taking. The research findings indicate that rational configuration and effective risk management by the executive team are crucial for promoting green innovation within a company, offering theoretical and practical guidance for achieving sustainable development.

Spatial-temporal Distribution and Source Analysis of Polycyclic Aromatic Hydrocarbons in the Sediments of Poyang Lake

The concentrations, spatial-temporal distribution, and influencing factors of 16 polycyclic aromatic hydrocarbons (PAHs) in the sediments of Poyang Lake were studied, and a quantitative source analysis of PAHs in different areas of the lake was conducted. PAHs were widespread within the sediments. The concentrations of ∑16PAHs in the surface sediments of all sites ranged from 203 to 2 318 μg·kg-1. The concentrations of PAHs in the surface sediments of the lake body were higher than those in the surface sediments of the inlet rivers. The ratio of PAHs in Poyang Lake was 4 rings > 5 rings > 6 rings > 3 rings > 2 rings; the composition of 4-ring PAHs was dominant, and its content accounted for 86.11% of ∑16PAHs. The 2- and 3-ring and some 4-ring PAHs, including Flua and Pyr, were more susceptible to SOM, and the 4 through 6-ring PAHs were more susceptible to ORP and heavy metals and other environmental factors. Spatially, the higher concentration of ∑16PAHs occurred in the area of the lake adjacent to Duchang County and Poyang County, where the terrain was relatively closed, and the water exchange with the surrounding area was less than that in other sections, which was not conducive to the migration, transformation, and degradation of pollutants. In the temporal distribution, the changes in PAHs concentration level and the development of GDP in Jiangxi Province showed high consistency, and the influence of economic development and human activities might have been the main reason for the increasing PAHs concentration level. The main sources of PAHs in surface sediments of Poyang Lake included petroleum pollution and oil and coal and biomass combustion sources, and there were some spatial differences in PAHs sources in different regions. This study can provide a reference for PAHs pollution in surface sediments of Poyang Lake, which is important for the ecological environmental protection and management of Poyang Lake.

Ecological Environment Assessment and Driving Mechanism Analysis of Nagqu and Amdo Sections of Qinghai-Xizang Highway Based on Improved Remote Sensing Ecological Index

The ecological environment along the Qinghai-Xizang highway is an important part of the construction of the ecological civilization in the Xizang region, and current research generally suffers from difficulties in data acquisition, low timeliness, and failure to consider the unique "alpine saline" environmental conditions in the study area due to the unique geographical environment of the Qinghai-Xizang plateau. Based on the GEE platform and the unique geographical environment of the study area, the remote sensing ecological index (RSEI) was improved, and a new saline remote sensing ecological index (SRSEI) applicable to the alpine saline region was constructed by using principal component analysis as an ecological environment quality evaluation index. The spatial distribution pattern and temporal variation trend of ecological environment quality along the Qinghai-Xizang Highway Nagqu-Amdo section were analyzed at multiple spatial and temporal scales using the ArcGIS 10.3 platform and geographic probes, and the driving mechanisms of eight control factors, including natural and human-made, on the spatial and temporal changes in SRSEI were investigated. The results showed that:① compared with RSEI, SRSEI was more sensitive to vegetation and had a stronger discriminatory ability in areas with sparse vegetation and severe salinization, which is suitable for ecological quality evaluation in alpine saline areas. ② The spatial scale of ecological environment quality in the study area had obvious geographical differentiation, and the areas with poor ecological quality were mainly concentrated in the northern Amdo County, whereas the areas with excellent and good quality grades were mainly distributed in the central-western and southeastern Nagqu areas. On the temporal scale, the ecological environment of the study area as a whole showed an improvement trend over 32 years, and the vegetation cover in the central-western and southeastern areas increased significantly, which had a strong improvement effect on the ecological environment. The improvement area was 1 425.98 km2, accounting for 99.82%. The mean value of SRSEI was 0.49, with an overall fluctuating upward trend and an average increase of 0.015 7 a-1. ③ The land use pattern was the most driving influence factor in the change of ecological environment quality in the study area, with an average q value of 0.157 6 over multiple years, and the influence of environmental factors was low. The multi-factor interaction results showed that the ecological environment in the study area was the result of multiple factors acting together, all factors had synergistic enhancement under the interaction, the influence of human factors was gradually increasing, and the interaction of the net primary productivity (NPP) of vegetation and land use pattern was the main interactive control factor of ecological environment quality in the study area. This study can provide a theoretical basis for ecological environmental protection and sustainable development along the Nagqu to Amdo section.

A vortex-induced vibration device based on MG-TENG and research of its application in ocean current energy harvesting

In recent years, with the extensive research on the application of triboelectric nanogenerators (TENGs) by scholars all over the world, the development of TENGs in harvesting and utilization of ocean energy has attracted more and more attention according to the advantages of TENGs in low-frequency energy harvesting. As a kind of ocean energy, the development and utilization of ocean current energy is of great significance to the diversification of energy sources, the promotion of sustainable energy development, the protection of ecological environment and the response to climate change. In this work, a novel device based on the combination of vortex-induced vibration (VIV) and multi-grating TENG (MG-TENG) is proposed for energy harvesting in low-speed ocean currents. The device consists of an up and down moving float driving the TENG to convert kinetic energy into electrical energy. The result shows that the system has a maximum average output power of nearly 20 μW under the condition of 8 grating TENG. This work demonstrates the ability of devices based on the combination of VIV and MG-TENG to drive low-power electronic components, demonstrating future applications for sensing, positioning, and more.

Distributed generation aggregators considering low-carbon credits optimize dispatch strategies

Abstract Against the backdrop of China’s implementation of the “dual carbon” target and carbon emissions trading policies, renewable energy generation technologies have matured and received support from related policies. Distributed power sources have played a crucial role in the power system, and aggregators have integrated a large number of distributed power sources with diverse characteristics, shielding the complex characteristics of the underlying distributed power sources from grid scheduling. This article introduces the revenue optimization of low-carbon integration to optimize the aggregator’s scheduling model, designs distributed renewable energy generation units, and studies the solution strategy based on quantum genetic algorithms for large-scale optimization scheduling problems. The aggregator’s optimization variables divide the entire optimization problem and consider low-carbon integration to achieve distributed management of green energy parks, providing a feasible theoretical framework for the further development of distributed power sources. It has important practical significance in energy conservation, emissions reduction, and ecological environmental protection.

Abandoned Farmland Extraction and Feature Analysis Based on Multi-Sensor Fused Normalized Difference Vegetation Index Time Series—A Case Study in Western Mianchi County

Farmland abandonment monitoring is one of the key aspects of land use and land cover research, as well as being an important prerequisite for ecological environmental protection and food security. A Normalized Difference Vegetation Index (NDVI) time series analysis is a common method used for farmland abandonment data extraction; however, extracting this information using high-resolution data is still difficult due to the limitations caused by cloud influence and data of low temporal resolution. To address this problem, this study used STARFM for GF-6 and Landsat 8 data fusion to enhance the continuity of high-resolution and cloudless images. A dataset was constructed by combining the phenological cycle of crops in the study area and then extracting abandoned farmland data based on an NDVI time series analysis. The overall accuracy of the results based on the NDVI time series analysis using the STARFM-fused dataset was 93.42%, which was 15.5% higher than the accuracy of the results obtained using only GF-6 data and 28.52% higher than those obtained using only Landsat data. Improvements in accuracy were also achieved when using SVM for time series analysis based on the fused dataset, indicating that the method used in this study can effectively improve the accuracy of the results. Then, we analyzed the spatial distribution pattern of abandoned farmland by extracting the results and concluded that the abandonment rate increased with the increase in the road network density and decreased with the increase in the distance to residential areas. This study can provide decision-making guidance and scientific and technological support for the monitoring of farmland abandonment and can facilitate the analysis of abandonment mechanisms in the study area, which is conducive to the sustainable development of farmland.

Evolution of ecosystem services under the impact of urbanization using the InVEST model in the xiongan new area, China

Abstract Understanding the impact of land use on ecosystem service functions is crucial for guiding land management and ecological environment protection in Xiongan New Area (XANA), China. This paper employs the InVEST model to assess the temporal and spatial characteristics of water yield, carbon storage, water purification, and soil conservation ecosystem services in XANA from 1980 to 2020, analyzing geographical and spatial variations in ecosystem service capabilities. Through correlation analysis and the grid Moran’s I index, we explored the mechanisms of ecosystem action and the trade-offs and synergies among these services. Our results revealed that urban land use in XANA increased throughout the 1980–2020 period, with the fastest growth occurring from 2010 to 2020, primarily due to cultivated land conversion. Prior to 2010, cultivated land expanded rapidly, consuming significant amounts of water resources. Changes in land use structure drove increases in water yield and nitrogen output in the XANA ecosystem while decreasing carbon storage and soil erosion. Urban land area change was the primary factor influencing water yield and nitrogen output, while reduced water area was the main driver behind decreased carbon storage in the region. Cultivated land was identified as the primary contributor to soil erosion. The synergy between carbon storage and water conservation is closely tied to water area and urban land, while the synergies between carbon storage and water quality purification, soil conservation and water quality purification hinge on water areas and cultivated land areas. To ensure the sustainable development of XANA, it is essential to protect the wetland ecosystem in the Baiyangdian Lake basin, enhance forest and grassland coverage, and monitor temporal and spatial changes in different ecosystem services and their interrelationships closely.

Analysis on the Influence of Rural Tourism on Farmers' Income in Western Hunan

Background and Aim: In 2017, the 19th National Congress of the Communist Party of China first proposed the Rural Revitalization Strategy, and two months later, the Rural Work Conference clarified the three goals of implementing this strategy, pointing out that comprehensive rural revitalization should be achieved by 2050. The vitality of rural areas is linked to the vitality of the nation; the strength of the rural areas is tied to the strength of the nation. Implementing the Rural Revitalization Strategy is a significant measure to promote national prosperity and people's happiness, achieve common prosperity, and construct a modern economic system. It points the way to solving the "issues relating to agriculture; rural areas and farmers" and serves as the primary focus in the new era. With China's victory in the fight against poverty in 2021, the focus on the "issues relating to agriculture; rural areas, and farmers" has shifted from poverty alleviation to comprehensive rural revitalization. The purpose of this study is to assess the relevant factors that affect rural tourism and try to improve the income of farmers in western Hunan. Materials and Methods: Based on the panel data of Western Hunan from 2010 to 2020, this paper conducts an empirical study on the influence mechanism of rural tourism development on farmers' income increase in western Hunan. This study uses primarily quantitative analysis methods. It is mainly divided into literature analysis and statistical analysis methods, arranged as follows: Firstly, relevant scholarly research findings and literature sources about the subject matter are retrieved from reputable academic databases such as CNKI (China National Knowledge Infrastructure), Wanfang, and Baidu Academic. The perspectives of domestic and international scholars are elucidated, the existing literature landscape is organized, and the research framework of this article is outlined. Subsequently, the theoretical foundations relevant to the study are identified, and conceptual definitions are formulated. Lastly, the fundamental principles of the theoretical foundations are distilled and enhanced, and a concise summary is provided, culminating in the construction of the theoretical model for this article. Finally, explores the relationship between the rural tourism industry and farmers' income, and takes infrastructure construction, urbanization level, and science and technology level as the variables of mediating effect. Through the statistical analysis software SPSS24 in quantitative research, the reliability and validity of variables were tested, and then statistics and correlation analysis were described, finally, regression analysis was carried out, and data charts were displayed. Results: The results of the model analysis show that the development of rural tourism in western Hunan plays a significant role in promoting the farmers' income. Rural tourism development can not only comprehensively promote the urbanization process, and effectively improve the rural scientific and technological level of Western Hunan, but also contribute to the construction of characteristic ecological civilization and human capital level of western Hunan, and then promote the increase of farmers' income. Conclusion: Therefore, to deepen the promotion effect of rural tourism development on farmers' income, we should first improve the level of rural science and technology and promote the non-agricultural transfer of the rural surplus labor force. Secondly, we should pay attention to the protection of the rural ecological environment and promote sustainable development. At the same time, human capital investment should be strengthened to enhance the quality of farmers themselves. Finally, the government still needs to increase financial support and improve infrastructure construction.

Application of MSPA-MCR models to construct ecological security pattern in the basin: A case study of Dawen River basin

Building an ecological security pattern (ESP) can safeguard and improve the structure, functions and services of regional ecosystems. Furthermore, it is also one of the significant spatial methods to mitigate the conflict between ecological conservation and economic growth. Most previous researches on the construction of ESP have directly utilized extensive regions of forestland, grassland, water area or nature reserves as ecological sources (ESs) without weighing the habitat quality (HQ) and ecological protection red line (EPRL). The ES of the Dawen River basin (DRB) was identified through morphological spatial pattern analysis (MSPA) and landscape connectivity index. By employing the minimum cumulative resistance model (MCR), the potential ecological corridor (EC) was identified, and its importance was evaluated by gravity model. Simultaneously, the spatial properties of HQ and ecological resistance (ER) were analyzed. Finally, this paper proposed an optimization strategy for ESP in accordance with the EPRL. The results indicate that: (1) The DRB contained 15 important ESs, mainly concentrated in water and mountain forest areas. (2) 105 ECs were extracted by MCR and gravity model, including 35 level 1 corridors and 70 level 2 corridors, which were primarily concentrated in the eastern region of the basin. (3) Based on the spatial characteristics of HQ and ER, as well as the EPRL in the research, the ESP of “one axis, two belts and five zones” in the DRB was constructed and control strategies were proposed. This research offers some reference for ecological environment protection and restoration and regional sustainable development in the Yellow River basin.

Improved prediction of groundwater depth in urban areas using the EWT-S–G-GRU and LSSVM model: a case study of Xinxiang City

ABSTRACT The improvement in predicting groundwater depth accuracy has significant implications for the management, ecological environment protection, and economic and social development of regional water resources. Employing empirical wavelet transform (EWT) for nonlinear processing, Savitzky–Golay (S–G) filtering to reduce high-frequency noise, gate recurrent unit (GRU) neural network for linear feature signal processing, and least squares support vector machine (LSSVM) for nonlinear signal handling, we established a comprehensive model combining EWT-S–G-GRU and LSSVM. The results demonstrate that the proposed model exhibits superior accuracy in groundwater depth prediction, with an average relative error of only 2.14% and Nash–Sutcliffe efficiency (NSE) of 0.93. This outperforms the other four models, with average relative errors of 12.88%, 11.90%, 7.07%, and 11.10%, and NSE values of 0.58, 0.56, 0.71, and 0.73, respectively. The superiority of the model established in this study is attributed to its effective handling of both nonlinear and linear features of groundwater, thereby enhancing predictive accuracy. The EWT-S–G-GRU and LSSVM model proves to be more reliable in revealing the spatial distribution and dynamic changes of future groundwater, providing a robust reference for the rational development and utilization of groundwater in the urban area of Xinxiang City.

Study on the coupling coordination effect and dynamic relationship between tourism development and the ecological environment: a case study of Hainan Island

As a Free Trade Port in China, the protection of ecological environment and high-quality tourism development on Hainan Island have become a national strategy. Exploring the coupling relationship of the two subsystems holds great practical significance for promoting the island’s international demonstration area and high-quality development. Based on the characteristics of international islands, a comprehensive index system is established to explore the coupling coordination evolutionary process and interactive stress relationship of tourism development and the ecological environment in Hainan Island from 2005 to 2020. The results show: (1) From 2005 to 2019, the comprehensive evaluation index of the two subsystems of Hainan Island generally showed a continuous growth trend. (2) From 2005 to 2019, the coupling degree of the two subsystems of Hainan Island strengthened continuously, the coupling coordination degree increased steadily from a moderate imbalance to good coordination, and tourism development and the ecological environment entered a stage of parallel and benign interactive development. (3) In 2020, affected by COVID-19, the tourism development indicators declined rapidly, while the ecological environment still maintained a rising trend. (4) Based on the inverted U-shaped curve model, when the tourism development index reaches 0.7269, the ecological environment quality reaches the maximum value of 0.7956, which is the best state between the two subsystems. The ecological environment and tourism development of Hainan Island are generally in a benign interaction, but there are signs of interactive stress starting in 2017. In the future, the pressure on the ecological environment of Hainan Island will increase.

Characteristics of the spatio-temporal evolution of the improved integrated ecological effect index (IEEI) in mountainous province based on remote sensing: a case study in Yunnan province of southwest China

Land use/cover change (LUCC) and the evaluation of its ecological effects are the important and key areas of research on global environmental change and sustainable development. In response to the problems and limitations of various methods of evaluating the ecological effects of LUCC, this article takes Yunnan Province, a mountainous province with a relatively fragile “innate” ecological environment, as the research area. Based on LUCC data from the interpretation of seven phases of remote sensing (RS) images taken in Yunnan, combined with the investigation of soil erosion data by using remote sensing technology, an improved integrated ecological effect index (IEEI) for the LUCC and a method for its evaluation are proposed; this index was applied to calculate the integrated ecological effect index for the LUCC and analyze its spatiotemporal evolution in 129 counties in Yunnan from 1990 to 2020. The spatiotemporal changes, characteristics, and laws of the integrated ecological effects of LUCC in the whole province and counties from 1990 to 2020 were revealed, with the goal of offering a fundamental framework for long-term strategic planning and management in mountainous provinces. Overall, in the past 30 years, the integrated ecological effect of Yunnan Province and various counties has significantly improved. However, the IEEI of the province is not yet very high, and its regional differences are significant. It is urgent to increase the efforts of ecological civilization construction (ECC) throughout the province, adopt practical and effective ecologically-friendly land use ways and ecological environment protection and construction measures according to local conditions, and steadily improve the integrated ecological effect of various regions.

Multilevel ecological compensation policy design based on ecosystem service flow: A case study of carbon sequestration services in the Qinghai-Tibet Plateau

Ecological compensation is an effective means to reconcile the imbalance of eco-social development between regions and promote enthusiasm for ecological environmental protection. There is some conformity between the theory of ecosystem service flow and ecological compensation, which provides new technical support for the formulation of ecological compensation policy. This study took the Qinghai-Tibet Plateau as the research area, adopted the breaking point model to obtain the spatial characteristics of carbon sequestration flow, and formulated a multilevel ecological compensation policy with Tibet as the design object. The results showed that most of the Qinghai-Tibet Plateau has a carbon sequestration surplus; the central and eastern Qinghai-Tibet Plateau, western Sichuan are successively carbon sequestration supply areas; the Chengdu Plain and Xinjiang were listed as carbon sequestration benefit areas; and the carbon sequestration tended to flow more closely between supply and benefit areas in proximity to each other. Nyingchi, Chamdo, Naqu and Shannan in Tibet need to receive a total ecological compensation of 393.21 million USD, of which 93.71 % is from the national level, 6.02 % is from carbon sequestration benefit areas in other provinces; furthermore, Lhasa and Shigatse in Tibet need to provide the remaining ecological compensation. This study offers innovations for the formulation of ecological compensation policies and provide a new theory for ecological environment management.

Classification algorithm for land use in the giant panda habitat of Jiajinshan based on spatial case-based reasoning

Jiajin Mountain, where the giant pandas reside, is an essential nature reserve in China. To comprehend the land use classification of the habitat, this article proposes a remote sensing interpretation algorithm based on spatial case reasoning, known as spatial case-based reasoning (SCBR). The algorithm incorporates specific spatial factors into its framework and does not require an extensive amount of domain knowledge and eliminates the need for a complex model training process, making it capable of completing land use classification in the study area. SCBR comprises a spatial case expression model and a spatial case similarity reasoning model. The paper conducted comparative experiments between the proposed algorithm and support vector machine (SVM), U-Net, vision transformer (ViT), and Trans-Unet, and the results demonstrate that spatial case-based reasoning produces superior classification outcomes. The land use classification experiment based on spatial case-based reasoning at the Jiajinshan giant panda habitat produced satisfactory experimental results. In the comparative experiments, the overall accuracy of SCBR classification reached 95%, and the Kappa coefficient reached 90%. The paper further analyzed the changes in land use classification from 2018 to 2022, and the average accuracy consistently exceeds 80%. We discovered that the ecological environment in the region where the giant pandas reside has experienced significant improvement, particularly in forest protection and restoration. This study provides a theoretical basis for the ecological environment protection of the area.

Coupling coordination and driving mechanisms of water resources carrying capacity under the dynamic interaction of the water-social-economic-ecological environment system

The water resources carrying capacity (WRCC) is a complex and comprehensive system that is jointly influenced by water resources, society, the economy and the ecological environment. Previous WRCC studies have primarily focused on estimating the overall level of regional WRCC. Few studies have explored the interactions among the various elements in the WRCC system and their influence on the WRCC evolution. Therefore, the purpose of this paper is, on the one hand, to explore the dynamic interactive relationships within the WRCC system from the perspectives of water resources, society, the economy and the ecological environment using a coupling coordination degree model and a panel vector autoregressive (PVAR) model, and on the other hand, to determine the evolutionary driving mechanism of the WRCC using the geographically and temporally weighted regression (GTWR) model to improve the regional WRCC. Taking 21 cities in Guangdong Province as an example, the results show that (1) the coupling coordination degree among the four WRCC subsystems in Guangdong Province shows an overall upward trend from 2009 to 2020, and the coordination between water resources utilization and other subsystems needs to be further strengthened. (2) The economic subsystem is the core of the WRCC system with reinforcing effects on both water resources and social subsystems but significant inhibitory effects on the ecological environment subsystem. Notably, the development of the ecological environment plays a crucial role in promoting social and economic development. (3) From 2009 to 2020, the development of the WRCC in Guangdong Province is initially driven by social and economic development, followed by economic development and ecological environmental protection, and then mainly by ecological environmental protection, which gradually becomes the primary driving force. This study provides a new entry point for studying the regional WRCC and formulating targeted measures for enhancing the regional WRCC.

Research on coal mining intensity based on the DPSIR-SPA model.

High-intensity mining has become a major trend in future coal mining. However, it will unavoidably worsen the harm done to the natural environment of mining sites by coal mining, which is already prone to doing so. So, how may coal mining intensity (CMI) be decreased? Minimize the harm that coal mining causes to the environment and offer a theoretical basis for protecting the environment in mining sites. In order to achieve this, based on the existing literature on CMI, we first redefine the concept of CMI, analyze its influencing factors, propose an evaluation index system, and introduce the theory of set pair analysis (SPA) to build a quantitative evaluation model of CMI. We then propose an adjustment strategy for the CMI and conduct a verification analysis using the Halagou Coal Mine and Caojiatan Coal Mine as an example. The results show that the Halagou and Caojiatan Coal Mine belong to the higher-intensity mining stage. It is consistent with existing research. Moreover, the development trend of CMI in the Halagou Coal Mine is analyzed in conjunction with the set pair potential theory, and specific measures to reduce CMI are given, from the perspective of coal mining. It provides the basis for the source protection of the ecological environment in the mining area. Theoretically, this study can help both the quantitative assessment of mining intensity and the source protection of the mining ecological environment. Besides, it offers specific guidelines for building environmentally friendly mines.

The impact and mechanism analysis of preceding sea surface temperature anomalies on summer runoff in the Yangtze River basin and its southern region

AbstractThe Yangtze River basin (YRB) and its southern region in China (20°–34°N, 104°–123°E, YRBSC) are highly susceptible to climate change and experience extreme hydrological events. To understand the spatial and temporal distribution of summer runoff in these regions, a statistical diagnosis method was applied using monthly mean runoff grid data, global Sea Surface Temperature (SST) data and meteorological reanalysis data from 1980 to 2022. The analysis revealed that variations in the isotropic phase within the YRBSC and the north–south inverse phase with the Yangtze River as the boundary are the main modes of summer runoff. Furthermore, a strong correlation was observed between winter SST anomalies (SSTAs) and late summer runoff in the YRBSC, as determined through singular value decomposition (SVD). In the first type of positive SSTA years, the eastward advance of the South Asian high pressure (SAH) and westward shift of the subtropical high pressure (SH) result in sufficient water vapour, strong upward movement and increased summer runoff. The second type of positive SSTA years exhibits a westward retreat of the SAH, upward movement north of 28°N, and downward movement between 20°N and 28°N. These conditions, combined with water vapour intermixing and dispersion, lead to a northward increase and southward decrease of summer runoff in the YRBSC, with the boundary at 28°N. Additionally, the study analysed the extreme drought situation observed in the YRB during the summer of 2022. The findings of this research provide valuable insights for ecological environmental protection, water resource planning and management in the region.