Abstract: The large-scale exploitation of coal resources not only supports China's economic and social development, but also causes large-scale coal mine goafs, causing serious soil degradation problems. The degradation of soil quality in goaf is manifested as physical structure destruction, chemical property deterioration and biological function failure, which seriously restricts regional land reclamation and ecological reconstruction. This paper systematically analyzed the core crux of soil quality degradation in coal mine goaf, including soil structure disturbance, nutrient loss, heavy metal pollution and microbial community imbalance. On this basis, from the four dimensions of physics, chemistry, biology and comprehensive integration, the specific path of soil quality improvement is discussed in depth. Finally, the future prospects of constructing the integrated technical system of 'diagnosis-planning-technology integration-monitoring' and improving the policy guarantee and market participation mechanism are put forward, in order to provide theoretical basis and technical support for the ecological environment governance and sustainable development of coal mining areas in China. Read More

Abstract: In high-temperature geothermal drilling, due to the high hardness and strong abrasiveness of the formation rock, and the rock drillability is significantly reduced in high-temperature environments, the working efficiency of traditional PDC drill bits decreases, and it is necessary to further explore the rock-breaking mechanism under high-temperature conditions. To this end, the research systematically examined the influence of high temperature on the single-tooth rock breaking process. Through numerical simulation, the effect of temperature on the single-tooth cutting process was explored. The results show that as the temperature increases, the rock damage first decreases and then increases. The damage is minimal at 200°C. The weakened rock strength at high temperature helps to improve the rock breaking efficiency. The Cpress stress of the tooth edge increases from the lowest point on both sides and is symmetrically distributed. The contact area is about 50°. The stress is the highest and fluctuates the most at 200°C, which is easy to cause uneven wear and is not conducive to the life of the cutting teeth. If the temperature continues to increase, the stress distribution will tend to Uniform; the increase in rake angle leads to the expansion of the high-temperature zone on the tooth surface, intensification of stress and fluctuations, and aggravates unbalanced wear; the increase in penetration increases the Cpress stress, expands the contact area, and intensifies stress fluctuations, which also affects the life of the cutting teeth. Tooth profile comparison shows that 3D tooth profiles such as roof teeth and Mercedes-Benz teeth have the advantages of large rock damage, high rock breaking efficiency, and small stress fluctuations in high-temperature and high-abrasive formations, and are more suitable for high-temperature geothermal drilling. The research results provide key theoretical support and parameter basis for the optimal design of high-temperature geothermal … Read More

Abstract: Timely and accurate information on dynamic open surface water is essential for under-standing long-term hydrological patterns and sustainable development. Frequent cloud cover limits the use of optical imagery for dynamic surface water observation, making it difficult to achieve high-frequency monitoring. A high-frequency surface water observa-tion dataset for Poyang Lake from 2016 to 2024 was constructed by employing a rapid ex-traction algorithm that integrates Sentinel-1/2 imagery. Subsequently, the spatiotemporal changes of the lake's surface water over the 2016–2024 period. Our findings indicate that the extraction algorithm achieved a high degree of accuracy, with Overall Accuracies (OA) exceeding 95% and Kappa coefficients greater than 0.90. The dataset reveals a significant seasonal trend, with the maximum inundation area occurring in 2020 (5,179 km²) and the minimum in 2022 (3,196.04 km²). The water area typically peaks in June–July and recedes to its minimum in November–December. Permanent and temporary water bodies are de-creasing, while seasonal ones are increasing. The conversion between water body types was dominated by the reclassification of temporary and permanent water as seasonal water. These research findings provide key data on the recent hydrological dynamics of Poyang Lake. Read More

Abstract: The exploration and development of the Erlian Basin is long, and the Shana Sag located in the central part of the basin is a relatively underexplored new block, with little previous research conducted on this area. The Aershan Formation in this block has significant development potential. To achieve efficient development of the Aershan Formation oil reservoir in the Shana Sag, this article will combine previous data to study the petrological characteristics, pore throat characteristics, and physical properties of the reservoir rocks in the study area, and carry out favorable reservoir classification. The results indicate that the reservoir lithology of the Aershan Formation in the study area is primarily composed of pebbly, unevenly sized, fine to medium-grained sandstone, lithic sandstone and feldspathic lithic sandstone, with fillings mainly consisting of cement and argillaceous matrix. The average porosity of the reservoir is 14.5%, and the average permeability is 4.61 mD, making it a medium-porosity and extremely low-permeability reservoir. The pore types are primarily primary intergranular pores and dissolved intergranular pores, and the pore structure belongs to the small pore and medium-fine throat type. Based on characteristic parameters, the reservoir is divided into three categories; sedimentation and diagenesis play a crucial role in the formation of favorable reservoirs. Read More

Abstract: Physical activity has been well documented to have substantial health benefits. The Report on the Health Status of the Chinese People 2020 noted that, as a result of the epidemic, there had been some changes in the exercise health status of the population, with the average number of steps taken by the Chinese people decreasing significantly, some people being touched by the epidemic to start exercising, and people becoming more concerned about their own health. Sports and leisure space is an indispensable and important part of the urban public service system, and it is the basic carrier and important engine of fitness activities for Chinese residents. Building a higher level of public service system for national fitness is not only an important foundation for promoting the comprehensive development of mass sports, but also an important guarantee for promoting the health of all people. In this paper, based on the POI data of National Geographic Information Resource Directory Service System, the spatial layout of outdoor recreation facilities in Suzhou City is researched by using Nearest neighbor index, Kernel density estimate, Standard deviational ellipse and other methods to summarize the pattern of the urban recreation space and its characteristics, and Multiple Linear Regression is also used to explore the factors influencing the spatial layout of urban recreation facilities. The spatial layout of outdoor recreation facilities in Suzhou City was studied by the methods of Kernel density estimate, Kernel density index, Standard deviational ellipse and so on, to summarize the pattern of urban recreation space, and to explore the influencing factors of the spatial layout of outdoor recreation facilities in Suzhou City by Multiple Linear Regression. The results show that: (1) the spatial distribution of sports and leisure facilities is characterized by "central aggregation and peripheral dispersion". (2) The directionality of the spatial distribution of sports and … Read More

Abstract: As a vital practical form of the "Big Ideological and Political Course," red research-based learning is at a critical juncture, transitioning from "high-speed development" to "high-quality development." However, current practices in red research-based learning generally suffer from bottlenecks such as curriculum design homogenization, superficial educational scenes, and alienated emotional experiences, making it difficult to achieve the fundamental goal of value guidance. Using Zhaoqing City's rich red culture, ecological resources, and local intangible cultural heritage as a case study, this article focuses on solving the challenges of "localization" and "contextuality" in research-based learning curricula. The study innovatively proposes two core strategies: "Red-Green Fusion" and "Local Narrative." "Red-Green Fusion" aims to break down the barriers between red education and ecological civilization education, using Zhaoqing's "green mountains and waters" as a narrative space and value extension for its "revolutionary red." "Local Narrative" advocates for using Zhaoqing's unique intangible cultural heritage (such as Zongzi and Duan Inkstones) as cultural "metaphors" and emotional "media" to translate grand red spirits into perceivable and tangible embodied experiences. Through qualitative analysis and theoretical construction, this article deeply explores the internal mechanisms by which these two strategies drive the innovation of "educational scenes" in research-based learning. Based on this, it constructs a three-dimensional curriculum implementation path of "cognitive awakening—contextual immersion—value re-creation." This research aims to provide a replicable design paradigm for the "localization" of red research-based learning curricula for Zhaoqing and other similar cities, intending to genuinely activate comprehensive local resources and promote the transformation of red research-based learning from a superficial "glance-and-go" tour to a profound … Read More

Abstract: To respond to the national policies on the development and utilization of enterprise data resources and promote the digital and intelligent transformation of the natural gas industry, this paper first reviews the research status of data management models, natural gas data management, and the Data Management Capability Maturity Assessment Model (DCMM). Subsequently, it analyzes the characteristics of natural gas data management, such as high integration and real-time accuracy, as well as existing issues including data silos, insufficient data quality, and lack of standardization, and points out that current assessments focus on security and value. Furthermore, the paper constructs a natural gas data management capability maturity assessment model based on DCMM(DCMM-NG), defining 8 core capability areas, 5 maturity levels, and the assessment process. Finally, it proposes that DCMM needs to be adjusted in accordance with industry characteristics; this model can help enterprises identify the strengths and weaknesses of their data management and provide support for formulating targeted improvement strategies. Read More

Abstract: ESG (Environmental, Social, Governance) integration has become a core framework for aligning global capital markets with sustainable development goals. According to the International Energy Agency (IEA), achieving the Paris Agreement’s net-zero target by 2050 requires annual clean energy investments to increase from $1.1 trillion in 2022 to $4 trillion by 2030[1]. As of December 2023, global climate-related funds (including mutual funds and ETFs) managed $5.4 trillion, with Europe accounting for 84% of this market[2]. However, geopolitical conflicts (e.g., the Russia-Ukraine war), economic headwinds (e.g., the 2023 global economic slowdown), and regulatory inconsistencies have hindered the deepening of ESG integration. This study aims to identify the key drivers and structural barriers of ESG integration in global capital markets using empirical data from climate fund trends, regulatory developments, and regional disparities. The main drivers include regulatory mandates (such as the EU’s Green Bond Standard 2023 and China’s ESG disclosure requirements), shifting investor preferences (especially among institutional and millennial investors, with $400 billion in net climate fund inflows in 2023), technological advancements (machine learning-based ESG data analytics by firms like MSCI and Sustainalytics[8,9]), and long-term value creation (positive correlations between ESG performance and corporate cost of capital/long-term returns). The primary barriers encompass geopolitical and economic pressures (a 23% decline in clean energy fund assets in 2023), data and methodological gaps (non-standardized ESG disclosures and conflicting ratings from agencies like CDP and Sustainalytics), short-termism (shareholder pressure for quarterly earnings over decarbonization), and market fragmentation (divergent standards between the EU’s SFDR and U.S. regulations). Regional case studies of Europe (the ESG vanguard with 875 out of 1,506 global climate funds), North America (balancing … Read More

Abstract: Understanding the determinants of rhinoceros behavior is important in field and enclosure management, particularly during global climate change. In this study, the influence of five central environmental parameters (ambient temperature, relative humidity, temperature–humidity index (THI), light intensity, and wind speed behavior) on white rhinoceros (Ceratotherium simum) behavior was examined in captivity in Yunnan, China. Special attention was given to the rhino behavior walking, given it was the most frequently reported active behavior (e.g. excluding resting) and because this activity shapes intra and interspecific interactions and carries high energy costs. Results show there to be a highly significant positive relationship between THI and walking duration, while wind speed and light intensity contributed relatively weakly. The findings stress the importance of thermal environment in shaping locomotor activity. While future research is required to extrapolate these findings to more extensive populations and to understand the influence of seasonality on rhino behavior, this study presents the valuable quantitative evidence on environmental determinants of captive white rhinoceros behavior in China and offers guidance for future husbandry, welfare assessment, and restoration planning. Read More

Abstract: Sliding structure refers to the rock deformation process and result where the upper plate rock layers continuously slide and erode downward under the action of gravity. During the downward sliding process, after two major slides, the strata on the upper and lower sliding surfaces are both inclined in the opposite direction to the strata of the sliding body, forming an overlying strata reverse dip zone. This paper takes the 23041 working face of Gaocheng Coal Mine as the research object and develops a device for similar simulation experiments, which has applied for a national invention patent. Similar material simulation experiments and UDEC software were used to simulate the influence of different dip angles of the overlying strata reverse dip on mining fractures and surface subsidence. Based on the results of numerical simulation, the development law of mining fractures under the overlying strata reverse dip can be obtained. The research shows that the larger the dip angle of the overlying strata reverse dip, the lower the development height of the water-conducting fracture zone and the lower the height of overlying strata damage. Read More

Abstract: In response to the problem of high water content in the Chang 2 oil reservoir in Block The analysis results show that water breakthrough in oil wells includes edge and bottom water, injection water, and casing damage water breakthrough. The reason for the high water content in the Chang 2 reservoir oil wells in Block. Read More

Abstract: With the continuous advancement of backfill mining technology, the continuous mining and gangue backfilling technique has gradually become a key research focus in the field of coal mine backfill mining. By integrating continuous excavation technology with gangue backfilling processes, this approach effectively addresses environmental challenges such as surface subsidence and gangue accumulation. While achieving subsidence reduction and controlled emissions, it also facilitates the recovery of coal reserves trapped under buildings, water bodies, and railways, as well as irregular residual coal deposits, thereby resolving the dilemma of exhausted minable coal resources. However, current research on the synergistic bearing mechanisms between backfill bodies and coal pillars during the continuous mining and backfilling process remains limited. This paper investigates the failure characteristics of the "stone-coal" composite structure and conducts uniaxial compression experiments to analyze the mechanical properties and bearing capacity under varying cement ratios and gangue gradations. The results indicate that the stress-strain curves of the specimens can be divided into four stages: compaction, linear elasticity, plastic failure, and post-peak behavior. Compared to standalone coal samples, the compressive strength of the stone-coal composite is significantly enhanced. Unlike the stress-strain curve of pure coal pillars, no abrupt stress drop occurs in the post-failure stage, and the composite maintains certain residual support strength. This significantly mitigates the risk of sudden coal pillar collapse caused by stress concentration, thereby effectively protecting the coal pillars. Read More

Abstract: The global tourism industry is undergoing a rapid transition from traditional service-based models to those driven by multimodal data. As a key tourist destination situated in the heart of China's karst region, Guilin is rich in natural landscapes, cultural heritage, and multilingual tourism content. However, these resources are dispersed and fragmented, which hinders the integration required for effective smart tourism management. Despite substantial domestic research in areas such as geospatial multimodal fusion, tourism corpora, and geovisualization, these efforts are often siloed within individual disciplines and struggle to establish a cohesive system that links multimodal data integration, corpus construction, and visualization. This paper addresses these issues by reviewing the evolving trends in these three core fields and emphasizing the critical role of multimodal data integration, the function of tourism corpora as data storage and semantic linkage tools, and the transformative potential of visualization in making multimodal data more accessible and understandable. The study develops a framework for collaborative multimodal fusion, corpus support, and visualization output, focusing on Guilin as a case study. By integrating diverse datasets, such as terrain remote sensing data, images of scenic areas, tourist reviews, and spatio-temporal paths, this work provides valuable data support for Guilin's tourism strategy and fills gaps in domestic research on the integration of multimodal geospatial data, tourism corpora, and visualization. Furthermore, it proposes a transferable model for similar international tourist destinations, advancing interdisciplinary research at the intersection of geospatial information science and tourism management. Read More