Xidamingshan area in Guangxi is a polymetallic exploration area with abundant mineral resources. In recent years, this area has successively discovered Changtun medium-sized lead-zinc deposit, Fenghuangshan large-scale silver deposit, Nongtun large-scale lead-zinc deposit, and Luowei medium-sized lead-zinc-tungstenbismuth deposit. At the same time,many gold-silver-lead-zinc-tungsten-bismuth deposits are also found. Through study deeply on regional metallogenic system, it is found that the deep Yanshanian hidden pluton and Cambrian strata are important metallogenic geological bodies in the region, the three northeast trending regional faults, namely Lajie-Pingshan, Xidamingshan-Xinliuli, and Qunli-Sanhaxiu, are the most important ore-conducting structures in the study area. Near east-west trending faults, northeast trending secondary faults, northwest trending faults, and faults developed along the silica-calcium surface of Cambrian fine sandstone and Devonian limestone are important ore-bearing structures. The partially open areas where the stratigraphic attitude is gently dipping are prone to forming thick and high-grade orebodies, which make them important targets for exploring large and medium-sized deposits.

The Late Mesozoic is a critical period for the destruction of North China Craton, and quantitative constraints on lithospheric thickness during this phase is critical to understand destruction process of North China Craton. The whole-rock and olivine chemical compositions of Late Cretaceous( ~ 81 Ma) Qujiatun basalts in eastern Liaoning is reported. The results show that Qujiatun basalts are alkalic basalts with trace element composition charactevistics similar to that of oceanic island basalts(positive anomalies of Nb-Ta and negative anomalies of K and Pb), and depleted Sr-Nd isotopic signatures( 87 Sr/ 86 Sr(i)= 0. 704 053-0. 704 098 and εNd(t)= 1. 75-2. 00), indicating their asthenospheric orgin. The olivine phenocrysts have Fo values of 84. 02-86. 20, Ni(977-1 823)×10 -6 , Ca(1 234-1 667)×10 -6 , Mn(1 345-1 833)×10 -6 , as well as Fe / Mn, 10 000×Zn / Fe and Mn / Zn ratios of 66. 91-81. 29, 7. 36-8. 66 and 16. 6-19. 8, respectively, similar to those in peridotite-derived melts. Together with their whole-rock FC3MS and FCKANTMS values comparable to the corresponding values of peridotite-derived melts, these geochemical characteristics support their source lithology of peridotite. Based on the mantle temperature and pressure conditions(1 298-1 325 ℃ and 2. 50-2. 67 GPa) during the formation of Qujiatun basaltic magma, the lithospheric thickness is estimated at 82-90 km, slightly thicker than the Early Cretaceous lithosphere in this region(40-60 km). This suggests that the lithosphere of the North China Craton may have undergone processes of accretion and thickening, and its destruction had probably ended from the Early to Late Cretaceous.

In order to gain a deeper understanding of the research progress on geological hazard risk assessment, the published literature information of CNKI and WOS databases from 1990 to 2023 are visualized and analyzed in this paper by using CiteSpace software, aiming to reveal the relationship between co-occurring networks of the main scholars, institutions, and keywords in this field. The results show that the current research heat of geological hazard risk evaluation is continuously increasing at home and abroad, and both pay more attention to the evaluation of susceptibility and vulnerability. The research hotspots are mainly centred on “susceptibility”, “numerical simulation”, “machine learning” and “climate change”, which are expected to remain the main research directions in the foreseeable future. The research results will help scholars to explore new evaluation methods, improve the accuracy and reliability of evaluation results in order to better address the challenges posed by geological hazards.

In order to clarify the evolution law of the microstructure of marble waste powder under different compaction states, scanning electron microscopy(SEM) and nuclear magnetic resonance(NMR) technology are used to analyze the three states(optimal moisture content and moisture content on both wet and dry sides) for the microstructure of compacted marble waste powder. The results show that the pore contents of the dry-side sample and the wet-side sample are not exactly the same when they are compacted to the same dry density. The pore content of the dry-side sample is larger than that of the wet-side sample. The difference between the two dominant pore sizes shows that the pore structure of the dry-side sample is an aggregated structure with many overhead pores, while the wet-side sample is a dispersed structure. The content of macropores between the aggregates is relatively small. From the moisture content of the dry side to the optimum moisture content to the moisture content of the wet side,the pore structure of the sample is transformed from an overhead agglomeration structure to a mosaic structure and finally to a matrix-like dispersed structure. By comparing the NMR curves before and after saturation,the change law of pore gas content and pore water content is quantified. By increasing the number of compactions and changing the water content,the pore gas content is reduced by 12 and 28 percentage points, respectively.

In order to clarify the evolution law of the microstructure of marble waste powder under different compaction states, scanning electron microscopy(SEM) and nuclear magnetic resonance(NMR) technology are used to analyze the three states(optimal moisture content and moisture content on both wet and dry sides) for the microstructure of compacted marble waste powder. The results show that the pore contents of the dry-side sample and the wet-side sample are not exactly the same when they are compacted to the same dry density. The pore content of the dry-side sample is larger than that of the wet-side sample. The difference between the two dominant pore sizes shows that the pore structure of the dry-side sample is an aggregated structure with many overhead pores, while the wet-side sample is a dispersed structure. The content of macropores between the aggregates is relatively small. From the moisture content of the dry side to the optimum moisture content to the moisture content of the wet side,the pore structure of the sample is transformed from an overhead agglomeration structure to a mosaic structure and finally to a matrix-like dispersed structure. By comparing the NMR curves before and after saturation,the change law of pore gas content and pore water content is quantified. By increasing the number of compactions and changing the water content,the pore gas content is reduced by 12 and 28 percentage points, respectively.

Peat soil is a special soil with poor engineering properties, which often makes it difficult to guarantee the construction safety and stability of foundation pits in peat soil areas. Therefore, combined with a peat soil foundation pit project, the deformation characteristics of the peat soil foundation pit under construction conditions and its influence on the surrounding surface settlement are compared and studied by field monitoring and numerical simulation. Then, the influence of the design parameters of row piles on the deformation characteristics of the foundation pit are further analyzed. The results show that the maximum horizontal deformation of the supporting structure of the foundation pit is 0. 108%h to 0. 133%h(h is the excavation depth of the foundation pit). The surface settlement outside the foundation pit is distributed in a typical groove type, and the maximum settlement occurs at 0. 375h to 0. 500h away from the pit edge. The pile spacing does not exceed 1. 5 times of the pile diameter by rule, otherwise the peat soil will move around the pile body to the inner side of the foundation pit. Properly increasing the pile length can reduce the deformation of the supporting structure, but its influence on the uplift deformation of the bottom of the foundation pit is limited. The water-resisting curtain formed by the cement mixing pile can play a dual role of water-resisting and support. Considering the phenomenon that peat soil will flow around, it is suggested to monitor the deformation of the water-resisting curtain of the peat foundation pit.

In order to solve the problems such as aggregate subsidence and segregation of grouting slurry for backwall of shield tunnel in traditional underground tunnel construction, grouting pipe blockage and slurry stratification are easy to occur. Through single factor test on grouting grout of shield tunnel with cement, sand, fly ash and bentonite as the main raw materials, the influence law of admixture type and admixture amount on grout fluidity, free bleeding rate and segregation rate is obtained, and the admixture amount range is determined. The effects of different material components on the fluidity, free seeping rate and segregation rate of shield mortar cone are analyzed by using uniform design test method. Combined with the related performance indicators, using MATLAB optimization toolbox for the optimal performance of grout ratio simulation optimization test, the high performance shield tunnel wall grouting grout ratio is obtained. The test results show that the optimized grout has a fluidity of 257. 5 mm, a bleeding rate of 0. 71% at 3 h, a bleeding rate of 0. 36% at 24 h, a segregation rate of 3. 1%, a condensation time of 6. 7 h, and a compressive strength of 2. 61 MPa at 28 d. The optimized grout has a good segregation resistance, which essentially solves the problems of easy stratification, segregation and pipe blocking of backwall grouting grout.

Aiming at the problem that the UAV road point cloud extraction process is complex and the extraction accuracy is not high, a method for UAV road point cloud extraction based on color information difference is proposed. Firstly, cloth simulation filtering(CSF) is used to separate the ground points and non-ground points of the original road point cloud, extract the target point cloud. Secondly, a three color-information value is constructed in the dense point cloud for three-dimensional coordinates. Thirdly,combined with density-based noise application spatial clustering of applications with noise, DBSCAN algorithm based on color information differences of UAV road point cloud extraction, according to the road point cloud corresponding to the cluster class number, road point cloud is extracted. Finally, DBSCAN algorithm is used again to cluster the road point cloud in three dimensions to optimize the extracted road point cloud data, and obtain the final road point cloud. The experimental results show that the correct rate of the number of road point cloud extracted by this method is 98. 19%, the completeness is 92. 20%, and the overall quality is 90. 66%, which can effectively extract the road point cloud obtained by UAV. 

There are some disadvantages such as low extraction accuracy and poor performance generally occur in extracting mangrove information from remote sensing image with the traditional convolutional neural networks. After a ST-UNet network model based on Shuffle Transformer is developed by means of optimizing the structure of Transformer in combination with the U-Net network structure, the network could extracting mangrove information from remote sensing images. The experimental results show that the extraction precision with ST-UNet network model reaches 97. 33%, which is 1. 07 percentage points higher than that of U-Net network structure, and the intersection, recall and Kappa coefficient of mangrove information extraction are respectively improved by 5. 27, 3. 96 and 8. 62 percentage points. Moreover, compared with ATT-UNet, TransUNet, and SwinUNet models, ST-UNet network model has improved all evaluation indicators and achieved accurate results in extracting mangrove information, which can effectively extract mangrove information from remote sensing images.

Exploring the spatial and temporal variation of vegetation cover in Guizhou Province, as well as its differences driven by climatic factors, is critical for ecological environment monitoring and ecological restoration construction in the region. Based on MOD13A1 data and meteorological monitoring data, this paper analyzes the spatiotemporal evolution character and stability of vegetation NDVI, and investigates its driving climatic factors in Guizhou Province from 2001 to 2020 by using trend analysis, coefficient of variation method, partial correlation analysis, and complex correlation analysis, as well as ANUSPLIN meteorological interpolation model. (1) From 2001 to 2020, the vegetation NDVI trend is generally increasing, with a growth rate of 0. 005 0/ a. (2)In the past 20 years, vegetation coverage in Guizhou Province has recovered well, and the proportion of areas showing significant increase is 77. 97%. The vegetation NDVI has generally been stable, mainly characteried by lower and medium fluctuation. (3)Non-climatic factors accounts for 84. 89% of the change in vegetation NDVI in Guizhou Province. Among the climate components, temperature accounts for 6. 02%. The present study finds that the vegetation cover in Guizhou Province shows a highly significant improvement trend from 2001 to 2020. Vegetation NDVI changes are mainly driven by non-climatic factors.

Taking Wuyi Mountain Range and its surrounding provinces as the study area, this research quantifies the supply and demand of carbon sequestration services in mountainous ecosystem. On this basis, it introduces the supply-demand ratio of ecosystem services, and based on the multi-year wind direction, visually simulates the trans-provincial flow process and regularity of carbon sequestration services in mountainous ecosystem from 2000 to 2020. (1)The supply of carbon sequestration services per unit of mountainous ecosystem is higher than that of the provincial area, and the demand is half of the overall one, so it can supply carbon sequestration services outward. (2) There is spatial heterogeneity in the supply-demand relationship of carbon sequestration services in study area, with higher carbon sequestration demand and lower supply in the built-up areas and the coastal development zones, and in addition, the Wuyi Mountain Range has a higher supply of carbon sequestration and lower demand. (3) The high-demand and medium-demand services are located in the urban built-up area. The high supply and medium supply types are located in Wuyi Mountain Range and the provincial border, which is due to the marginalization and extrusion of ecological space by urban development. (4)The carbon sequestration service flow is gradually transmitted to Wuyi Mountain Range and fixed in coastal areas, which are watersheds or mountains with good carbon sequestration capacity. However, the carbon sequestration service flow also shows a vertical gradient flow change compared with horizontal spatial flow. From the city to the mountain end, the demand gradually decreases, and the supply gradually increases.

In this study, a larger sand tank in the laboratory is applied to carry out a seven-year experiment for the remediation of conventional gasoline and ethanol gasoline pollution. Sulfate, nitrate and persulfate are injected into sand tank to study the mechanisms and effects on enhanced biodegradation and chemical oxidation of benzene, toluene, ethylbenzene and xylene(BTEX). The results show that BTEX dissolution has the characteristics of high initial concentration, easy fluctuation, multiple peaks and gradual attenuation. Long-term pollution of gasoline reduces the permeability of aquifer, which is more prominent in ethanol-gasoline polluted sites. The natural decay rate of BTEX dissolved from ethanol gasoline is slower than that from conventional gasoline, and the additions of nitrate and sulfate are beneficial to enhance the decay rate of BTEX. PS is more powerful to treat BTEX with high concentration, and is not significantly impacted by the presence of ethanol. However, multiple or continuous injection of PS may not effectively increase the decay rate of BTEX as expected. Geochemical and microbial evidences indicate that PS chemical oxidation can coexist with nitrate reduction or sulfate reduction in the remediation of pore groundwater fuel oil contamination, and have the feasibility of collaborative remediation.

The betel nut fibers modified with nano-ZnFe2O4 are prepared and characterized using betel nut fibers as raw materials. The results show that the optimum adsorption reaction pH is 6, the adsorbent dosage is 75 mg to reach saturation, and the initial concentration of Pb(Ⅱ) is 30 mg / L at a temperature of 35 ℃ . The maximum adsorption of Pb(Ⅱ) by the modified betel nut fibers is 59. 40 mg / g. The quasi-secondary kinetic model and the Freundlich isothermal adsorption model are more accurate in characterizing the adsorption behavior of the betel nut fibers modified with nano-ZnFe2O4 on Pb(Ⅱ), which occurrs as a monolayer on a homogeneous surface. SEM-EDS, XRD, FT-IR and XPS are used to resolve the adsorption mechanisms, which may involve the catalytic effect of nano-ZnFe2O4 , metal-π electron interactions between the C??O and Pb(Ⅱ) cations of the modified betel nut fibers, gap filling to adsorb Pb(Ⅱ) and the formation of Pb—O complexes on the surface of the betel nut fibers. The betel nut fibers modified with nano-ZnFe2O4 can be used as an efficient adsorption material for Pb(Ⅱ) in wastewater.

The extraction and beneficiation of rare earth elements(REEs) have led to severe REEs contamination in surrounding soils, water, and other environmental media. Identifying the migration, transformation, speciation, and tolerance mechanisms of REEs in soils and hyperaccumulators can provide theoretical basis for REE contamination remediation, research and development of biomimetic materials, plant mining, and other fields. This review summarizes the germplasm resources, REE accumulation characteristics, and physiological mechanisms of REE hyperaccumulators. At present, 25 REE hyperaccumulators or potential hyperaculmulator species have been identified worldwide, with ferns accounting for approximately 68% of these. REEs are primarily accumulated in leaves, where ferns predominantly enriching light rare earth elements ( LREEs), while species from the genus Phytolacca exhibit slight enrichment in heavy rare earth elements(HREEs). The mechanisms underlying the fractionation of LREEs and HREEs in hyperaccumulators involve adsorption and precipitation in extracellular cell walls, transmembrane transport within the symplast, and chelation with various ligands. The physiological mechanisms of REE hyperaccumulators can be divided into four key processes:(1) Activation of REEs in the rhizosphere through root exudates, phosphorus deficiency, and microbial interactions; (2) Efficient root uptake of REEs via both apoplastic and symplastic pathways, potentially involving REE transporters and other ion channels; (3) Xylem transport, where REEs form chelates with organic acids, amino acids, and other ligands, which influences the translocation of LREEs and HREEs to aerial parts; (4) Detoxification and storage in the aboveground parts, where REEs are bound to proteins, polysaccharides, and organic acids, and are primarily sequestered in inert compartments such as cell walls and vacuoles.

In the textile industry, fabric defect detection is an essential aspect of ensuring the quality of fabric products. To address the difficulty in recognizing fabric defects due to large scale variations and small area ratios, fabric defect detection algorithm based on improved YOLOv8 is proposed. The SimAM non-parametric attention mechanism is introduced to optimize the C2f module of YOLOv8m, to enhance the feature extraction capability for fabric defects. Referring to the Rep-BiFPN structure, the BiC module is introduced to reconstruct the connection(concat) module of Backbone network and Neck network, while also drawing on the idea of Bi-FPN pyramid cross-layer connections to improve FPN-PAN of the original Neck network, to enhance the feature fusion ability of the Neck network. WIoUv3 is used to replace the CIoU of YOLOv8m for calculating the model??s bounding box loss, reducing the penalty intensity for defects with larger aspect ratios, allowing the model to focus on anchor boxes of normal quality, and improving the overall performance of the detector, thus enhancing the detection accuracy of the model. Experimental results show that the improved YOLOv8m can achieve a mean average precision(mAP) of 94. 1%. Compared to the mAP of original YOLOv8m, it has increased by 8. 6 percentage points. Moreover, the detection accuracy of the algorithm for various types of fabric defects remains above 90%, meeting the actual needs of the industry for fabric defect detection.

The most existing electric vehicle routing problem(EVRP) models ignore the heterogeneity of charging facilities or focus only on a single optimization objective. This paper proposes a multi-objective EVRP model with hybrid variables(M-EVRP), which considers the heterogeneity of charging speed and charging cost in EVRP, with the optimization objectives of minimizing the total travel time and total charging cost. To solve this model, a mixed-variable multi-objective differential evolution algorithm(MMODEmv) is designed. MMODEmv embeds the incremental recursive ranking grouping ( IRRG) strategy into the cooperative coevolution ( CC) framework, which combines the advantages of differential grouping methods and monotonicity checking strategies to improve the efficiency of coevolution by separating interactive and non-interactive variables when dividing populations. In addition, the algorithm employs a relaxation mechanism to maintain the correlation between variables in the model. Simulation experiments show that MMODEmv has significant advantages in terms of convergence and diversity compared with four representative algorithms.

Taking 707 national traditional villages in Nanling ethnic corridor as the research object, the spatial distribution characteristics and influencing factors are explored in this research mainly through ArcGIS spatial analysis and geography of measurement. The results show that the distribution type of traditional villages in Nanling ethnic corridor is agglomerative, with more in the west and less in the east. The distribution along the Five Ridges is zonal, forming two high-density areas of Huaihua-Guilin-Liuzhou and Guilin-Yongzhou-Hezhou. Besides, ethnic villages form one high-density area in Longsheng-Sanjiang-Tongdao. The spatial positive correlation of traditional villages occupies a dominant position, and there are high-high and low-low agglomeration areas. The spatial agglomeration characteristics at county scale are more obvious than those at city scale. Natural factors such as topography and hydrology are the material basis for the formation of traditional villages. Social and economic factors such as per capita GDP, urbanization rate and population density are also of great significance for the continuation and preservation of traditional villages. The integration of ethnic migration has shaped the unique distribution pattern of traditional villages.

Based on the data of tourism network attention and tourism economy of 14 prefecture-level cities in Guangxi from 2011 to 2020, DEA-Malmquist index model and fuzzy set qualitative comparative analysis(fsQCA) method are used to study the dynamic relationship between tourism network attention and tourism economy from the perspective of efficiency analysis and discusses the driving mechanisms in this paper. (1) The efficiency of tourism network attention in promoting the development of tourism economy is good, and the Malmquist index shows a fluctuating growth trend on the whole. (2)The spatial pattern of Malmquist index evolves in different observation periods. There is strong spatial heterogeneity among prefecture-level cities, and the promotion efficiency of tourism network attention in less developed regions is higher. (3)Extensive development type and basic support type are the two configuration paths of high promotion efficiency. Information construction has an obvious positive effect on the promotion efficiency of tourism network attention. (4)The common lack of network development level, resource abundance and transportation accessibility will inhibit the promotion efficiency of tourism network attention.