Chinese Version 陕西省科技期刊编辑学会
Latest Issue
Issue 2 ， 2023
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Spatial distribution pattern and attribution analysis of mountain tourism scenic spots in the central Yellow River Basin: A case study of Shanxi Province
Abstract：Mountain tourism plays a significant role in enhancing people's health and happiness, and is a tonic for promoting the recovery and high-quality development of tourism.Shanxi plays an important role in mountain tourism in the middle of the Yellow River Basin because of its rich mountain resources.A total of 75 mountain scenic spots with grade A and above（hereinafter referred to as A and above）in Shanxi Province were selected as the research objects, spatial visualization methods such as Lorentz curve, kernel density analysis and cold and hot spots are used to analyze the spatial distribution pattern of scenic spots, and geographical weighted regression model（GWR）was constructed to explore the attribution.The findings are as follows: ① The scenic area presents an unbalanced and cohesive distribution trend, and basically forms an inverted C-shaped pattern with the opening facing west.It can realize resource sharing with neighboring Shaanxi and Henan to strengthen regional linkage and link function.② The distribution of scenic spots has obvious spatial correlation, and the cold spots are mainly distributed in northern Shanxi, while the rest are not obvious.③ The four causes of the spatial distribution of scenic spots have obvious heterogeneity. 50.18% of the regional resource linkage level is negatively correlated with the number of scenic spots, 29.86% of the regional resource linkage level is negatively correlated with the number of scenic spots, and 27.53% of the regional traffic conditions and consumption level are negatively correlated with the number of scenic spots. The economic income of the middle part of the Yellow River Basin should be improved, and the dominant mountain scenic spots into lines connected.Keywords：mountain scenery;Yellow River Basin;Shanxi province;geo-weighted regression- 5
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Published：2023-05-04 -
High-speed rail accessibility and economic linkage response in Shandong peninsula urban agglomerations
Abstract：Taking Shandong Peninsula urban agglomerations as the research area, and the accessibility indicators and the gravitation model were used to analyze the impacts of high-speed rails on the accessibility and economic linkage in the research area. The results show: ①After the opening of the high-speed rails, the weighted mean travel time of each city along the rail is significantly reduced, which presents distinct core-edge characteristics, and the space-time convergence effects have been caused; the daily accessibility of cities along the high-speed rail has been greatly improved, whose rate of change shows strong hierarchical feature and has obvious layers, and the accessibility pattern shows significant " corridor effect". The construction of the high-speed rail has also promoted the improvement of the spatial equality of the peninsula urban agglomeration, and the accessibility of global transportation tends to be fairly distributed. ②The high-speed rails reshape the economic linkage spatial pattern of Shandong Peninsula urban agglomerations, making it along the axis of the high-speed rail with Jinan and Yantai as the core. The opening and construction of the high-speed rails also produce the regional difference of economic linkage aggregate, Jinan's external economic linkage intensity is the strongest among all the cities. Affected by the layout of the high-speed rails, the spatial pattern of economic linkage aggregate takes on a "dual-core" model centering on Jinan and Weifang, which has been showing an increasing centrality.Finally, this paper gives the further discussion of promoting the healthy development of regional economic in Shandong Peninsula urban agglomerations based on the high-speed rail construction.Keywords：high-speed rail;traffic accessibility;economic linkage;Shandong Peninsula urban agglomerations- 5
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Published：2023-05-04 -
Attractiveness evaluation and spatial analysis of dark tourism resources based on network information
Abstract：Taking the national black tourism resources as the research object, using network information as the data source, constructing the black tourism resource attractiveness evaluation index system and using the entropy method for value evaluation. Using the spatial analysis method to analyze the spatial distribution characteristics of the dark tourism resource attractiveness. Conclusions were as follow: ①A total of 203 eligible dark tourism resource monomers were selected from the four major website platforms which belong to 5 types, war relics and memorials, historical figures burial sites, cemeteries, prisons, and geological disaster relics.②The overall tourism attractiveness evaluation value of dark tourism resources is 0.335, of which war relics and memorials（0.352）have the highest average attractiveness, and various resources have obvious advantages and disadvantages under different evaluation dimensions.③China's dark tourism resources are mainly distributed in the central and eastern regions, the western and southern regions have fewer resource points. All the dark tourism resources, historical figures’ burial sites, and cemeteries have spatial agglomeration characteristics.④The national dark resources have a single-core distribution in space. The pattern has a multi-core distribution trend. The attractive hot spots are mainly distributed in the core area of the attraction of dark tourism resources. There are differences in the attractive spatial distribution of specific types of resources. Based on the above research conclusions, we hope to provide targeted opinions and suggestions on the enhancement of the attractiveness of the country's dark tourism resources and the future planning and development.Keywords：dark tourism resources;attractiveness evaluation;network information;space analysis- 5
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Published：2023-05-04 -
A study on villagers’ perception of social-cultural impact of tourism in ethnic village and its difference: Taking Xijiang Miao Village as an example
Abstract：Although the social and cultural impacts of tourism has become one of the focuses in tourism research, research on villagers’ perception of the social and cultural impacts of tourism development and its differences among villagers in ethnic villages is still insufficient. This study analyzed the constructs of villagers’ perception of the social and cultural impacts of tourism, and calculated villagers’ overall level of perception, by using the survey data collected from the villagers in Xijiang Miao Village in Leishan County, Guizhou Province, where tourism is developing, and the factor analysis method. Then, multivariate analysis of variance was used to test the differences in the perception of among different group of villagers, and interviewing data were used to explain the differences. The results show that: ① Villagers’ perception of social and cultural impacts of tourism in Xijiang Miao Village is of five positive dimensions respectively in traditional culture protection, social relation improvement, settlement environment improvement, social structure improvement, and living standards improvement, and of two negative dimensions respectively in social conflicts and marriage problems; ② Xijiang Miao Villagers as a whole perceive settlement environment improvement, social structure and social conflicts higher than other dimensions; ③ The more the villagers participate in tourism（such as young and middle-aged people, employees of tourism companies, those relying on tourism income）or the more the villagers are affected by tourism（those in Yanghao District and Pingzhai District）, the higher their perception of both positive and negative impacts. Finally, according to these findings, some corresponding countermeasures and suggestions were put forward.Keywords：ethnic village;villagers;perception of social-cultural impact of tourism;Xijiang Miao Village- 5
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Published：2023-05-04 -
Research on self-driving tourism ontology from the perspective of information demands: A case study of the Shaanxi Yellow River tourism belt
Abstract：Tourism ontology promotes the organization and sharing of information at the semantic level and it is of vital research value for self-driving tourism, which relies on information services. With the help of ontology thoughts, Maslow's hierarchy of needs theory and knowledge graph theory, taking the Shaanxi Yellow River tourism belt as the research object, this research constructs a self-driving tourism ontology based on information needs from the bottom-up. The results of the study indicate: ① The pyramid of self-driving tourists’ information needs is divided into four levels from low to high: safety, traffic infrastructure, consumption and personalized information needs. ② The information needs of self-driving tourists in Shaanxi Yellow River tourism belt include six categories: tourism consumption, scenic spots, transportation along the routes, travel arrangements, self-driving travel infrastructure, weather and climate information. ③ Shaanxi Yellow River tourism belt self-driving tourism ontology consists of four layers, 6 secondary classes, 21 tertiary classes, 42 attributes, 7 kinds of relations, etc. are identified. Insights from the conclusion to enhance the construction of supporting facilities for self-driving tourism, upgrade the level of information services, intensify ecological protection, and build tourism scenic lanes along the Yellow River tourism belt, so as to provide a reference to boost the high-quality development of the Shaanxi Yellow River tourism.Keywords：information demands;self-driving tourism;tourism ontology;Shaanxi Yellow River tourism belt- 6
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Published：2023-05-04 -
Spatial distribution and influencing factors of tourism characteristic towns in China
Abstract：The construction of tourism characteristics towns is conducive to comprehensively playing the industrial radiation function of tourism and promoting the coordinated development of urban and rural areas. This study takes 216 tourism characteristic towns among the national characteristic towns as the research object, uses the GIS spatial analysis method to deeply analyze the spatial distribution type, spatial distribution direction, and spatial pattern of different types of tourism characteristic towns, and uses geographical detectors to reveal the influencing factors that promote the formation of this spatial pattern. The research shows that: ① Tourism characteristic towns generally show a spatial agglomeration distribution, in which the resource support and characteristic industries are evenly distributed, and the other four types are clustered; ② The spatial distribution direction is "southwest-northeast", among which the types of resource support, folk customs, health resort and vacation are similar to the general trend; ③ The spatial pattern is dominated by one high-density agglomeration area and three sub-aggregates, with large differences; ④ Tourism resources, traffic conditions and government support play an important role in the spatial distribution of tourism characteristic towns. The influence of various influencing factors on the spatial distribution of different types of tourism characteristic towns is significantly different, especially in the historical and cultural categories. The research results can provide strong support for the optimization of spatial structure and reasonable layout of regional tourism characteristic towns.Keywords：tourism characteristic towns;type division;spatial distribution;influencing factors;geodetector- 4
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Published：2023-05-04 -
Research on the relationship among tourism motivation, satisfaction and healthcare perception in forest park
Abstract：Forest park is nature-led green space type that is closely related to people's health. A tourist healthcare perception theory model of tourists is built with the help of tourism motivation theory, expectation difference theory and healthcare perception assessment theory. The samples are analyzed in Beijing Olympic Forest Park and structural equation model（SEM）is applied to verify this theory model. The results show that: Being close to nature, relaxing, escaping from reality andemotional needs all directly drive positive impact on satisfaction; satisfaction has directly impact on healthcare perception; being close to nature, relaxing have indirectly positive effect on healthcare perception through satisfaction. Therefore, it is necessary to improve recreational functional zones of forest park to meet the diverse tourism motivations, enhance the satisfaction of tourists to improve the healthcare perception by enhancing tourists′ natural and relaxing experience, so as to provide guidance for promoting social benefits as improving people health conditions.Keywords：tourism motivation;healthcare perception;satisfaction;forest park- 4
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Published：2023-05-04 -
Analysis on the motivation of tourist value co-creation in museum tourism
Abstract：In the era of experience economy, tourists gradually change from passive booking value consumers to active value co-creators. In order to meet this change and promote sustainable development, it is necessary to clarify how tourists can create value through local practice. Accordingly, this paper adopts structural equation modeling, based on cognitive evaluation theory, and takes Xi′an Beilin Museum as an example to construct research model including experience value perception, place attachment, tourism involvement and value co-creation behavior. The results show that: There is a significant positive correlation between experience value perception and value co-creation behavior; Place attachment plays an intermediary role between experiential value perception and value co-creation behavior; Tourism involvement positively regulates the predictive effect of experience value perception on place attachment. The article also uses customer-dominant logic（C-D）to discuss the influencing factors and formation paths of tourists′ value co-creation behavior from the perspective of individual emotions, and to provide management suggestions for promoting the sustainable development of scenic spots.Keywords：value co-creation behavior;cognitive evaluation theory;customer-dominant logic;tourism involvement;place attachment- 5
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Published：2023-05-04 -
Low-resolution face recognition based on super-resolution reconstruction and common feature subspace
Abstract：Aiming at the low accuracy of traditional low-resolution face recognition, a low-resolution face recognition network InGLRNet（inception GAN low resolution Net）based on super-resolution reconstruction and common feature subspace is proposed. The InGLRNet network adopts a generative adversarial network structure. First, the generation network is composed of the super-resolution InSRNet network and the feature extraction network. The InSRNet network decomposes the 3×3 convolution kernel in the Inception structure into 1×3, 3×1 and 1×1 convolution kernels, and at the same time increases the bypass direct connection of residual network, which can alleviate the problem of gradient disappearance. Secondly, using the common feature subspace method, the distance between the transformed low-resolution sample image and the high-resolution reference image in the common space is used as the objective function for training a deep convolutional neural network, and the loss function is used to match the high and low features of high-resolution images to achieve accurate feature recognition of faces. Finally, the InGLRNet is compared with the four classic low-resolution face recognition methods, CLPMs, MDS, Deep-Face and Face-Net. The experimental results show that the constructed network has a significant improvement in face recognition performance. It is better than the other 4 methods at different low resolution.Keywords：public feature subspace;InSRNet;face recognition;InGLRNet- 5
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Published：2023-05-04 -
NSST domain sonar image fusion combining PCNN and local energy
Abstract：Aiming at the problems of local feature blur and edge information loss of sonar image, a sonar image fusion method in non-subsampled shearlet domain is proposed, which combines parameter adaptive pulse coupled neural network and improved local energy fusion rules. The non-subsampled shearlet transform is used to decompose multiple source images into high-frequency coefficients and low-frequency coefficients, and the parameter adaptive pulse coupled neural network is used to process the high-frequency coefficients to integrate image edge information. The traditional local energy fusion rule is improved and applied to the processing of low-frequency coefficients to retain most of the original energy of the image. Finally, the processed high-frequency coefficients and low-frequency coefficients are reconstructed by the inverse transformation of non-subsampled shearlet to realize the fusion of sonar images. The simulation results show that this method can transfer the edge information and feature information in the source image to the fused image, and greatly improve the sonar image quality.Keywords：sonar image fusion;non-subsampled shearlet;pulse coupled neural network;local energy- 6
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Published：2023-05-04 -
Applied of deep U-Net in remote sensing mountain glacier boundary segmentation
Abstract：Glacier change has always been the key direction of Geographical research and has an important impact on the local climate environment and water resources environment. No matter what direction of research, the first problem is to extract the range of glaciers. With the development of remote sensing technology, extracting the range of glacier from remote sensing images has become the first way of related research. Compared with the artificial visual interpretation method which has long time-consuming, low efficiency and large subjective factors, deep learning has certain advantages. This paper uses the traditional deep learning semantic segmentation network to segment glaciers. However, because of lack of glacier training dataset, the traditional u-net semantic segmentation network has great interference in the segmentation of true color images in glacier areas, which cannot highlight the characteristics of glaciers and has low efficiency in glacier segmentation. Therefore, through the vector data of glaciers and based on Landsat 8 remote sensing satellite images, we establish glacier segmentation training dataset, which can make full use of the advantages of remote sensing multi band images and strengthen the glacier feature information. At the same time, by adding additional color images combined with different bands, it enriches the glacier segmentation information. And it will improve the accuracy of glacier segmentation by using two feature information in deep learning module. The experimental results show that the proposed method can segment the glacier range, which is better than other depth learning methods.Keywords：mountain glacier;boundary segmentation;U-Net- 5
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Published：2023-05-04 -
Design of lightweight mask wearing detection model based on YOLOv4
Abstract：Affected by respiratory infectious diseases, wearing masks has become the norm in many public places. Using machine inspection instead of manual inspection can greatly save human resources. Commonly used general target detection models based on deep neural networks often have a huge number of parameters, which is not conducive to terminal deployment and cost control. In response to these problems, this paper proposes a lightweight mask detection model G-YOLOv4 based on the improved general target detection model YOLOv4. Using GhostNet to decrease the parameters and computation of the discovery model, the network also increase the accuracy of the model discovery. The use of depth separable convolution instead of the general convolution in the original YOLOv4 further reduces the computational complexity of the model. Use the Mish activation function as the activation function of the GhostNet shallow network to optimize the convergence effect of the model. The experimental results show that the mAP of the optimized G-YOLOv4 algorithm reaches 93.21 %, which has an increase rate of 5.52 % compared with the original algorithm. The model parameter size is 11 488 785, which has a reduction rate of 82.05 % compared with the original algorithm. The calculation amount of the model is 7.05 GFLOPs, which has a reduction rate of 72.8 % compared with the original algorithm. The detection efficiency（FPS）of the model reaches 38.23, which has an increase rate of 204.14 % compared with the original algorithm.Keywords：mask detection;deep learning;YOLOv4;GhostNet;depthwise separable convolution- 6
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Published：2023-05-04 -
Analysis of water drive characteristics and influencing factors of Chang 10 reservoir in Mid-Western Ordos Basin
Abstract：To further explore the water-driven oil seepage characteristics of the ultra-low permeability reservoir in the west-central Ordos Basin Chang 10 reservoir, clarify the reservoir seepage mechanism, and provide theoretical guidance for the effective development of the region. Taking Wuqi area as the research object, the microscopic pore throat structure, water-driven oil seepage characteristics and influencing factors of the Chang 10 reservoir in the study area were analyzed by using analytical tests such as physical analysis, cast thin section, scanning electron microscopy, high-pressure mercury compression, visualization microscopic water-driven oil experiment and core multiphase seepage experiment. The study shows that the pore type of the Chang 10 reservoir in the study area is mainly intergranular pores, followed by feldspathic and zeolitic pores, and the throat type is mainly lamellar and curved lamellar throats. The pore-throat structure can be divided into three categories: I, II and III. For reservoirs with different categories of pore structure, the main mode of water-driven oil replacement in the reservoir pore channels is piston replacement, while non-piston replacement is rare; for reservoirs with different categories of pore structure, the replacement characteristics of injected water in the pore network vary greatly. The repulsion mode of Class I reservoir is mainly uniform repulsion and reticulation-uniform repulsion, that of Class II reservoir is mainly reticulation, and that of Class III reservoir is mainly finger repulsion and reticulation-finger repulsion. The seepage characteristics and replacement efficiency of water-driven oil are mainly influenced by the reservoir properties, pore throat structure and replacement pressure, water injection multiplier and other factors. The study concludes that: the reservoir physical properties and pore throat structure deteriorate from Class I to Class III, and the water repelling mode in the pore network changes from homogeneous-reticulated-finger-like, and the water repelling efficiency decreases; the size of the reservoir throat is the most important factor affecting the efficiency of water dive, the larger the radius of the reservoir throat, the higher the oil drive efficiency; increasing the repelling pressure and water injection multiplier can improve the water repelling efficiency within a certain range.Keywords：ultra low permeability reservoir;pore throat structure;seepage characteristics;displacement pressure;water injection multiple;oil displacement efficiency- 6
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Published：2023-05-04 -
Superposition relationships of sand body and their influence on oil-water distribution: A case study of Chang 4+ 52 of Yanchang Formation in Nan 212 well block of Nanniwan Oilfield
Abstract：To clarify the relationship between sand body superposition type and oil-water distribution of the Chang 4+ 52 from Yanchang Formation in the Nan 212 well block of the study area, the sedimentary microfacies type, vertical superposition and lateral contact style of the Chang 4+ 52 were analyzed through core observations and logging interpretations, and the oil-bearing characteristics of different types of sand body superposition were discussed in combination with well test data. The results indicate that the Chang 4+ 52 in the Nan 212 well block of the study area was deposited in a deltaplain sedimentary environment, that primarily generates distributary channels and interchannel. On the basis of vertical superposition, sand body types may be separated into massive, segmented interbedded, thin interbedded and thin sand bodies, and according to horizontal contact relationships, it can be divided into isolated, vertical superposition, horizontal overlapping, and cutting superposition sand bodies. Thin interbedded and segmented interbedded sand bodies make up most of Chang 4+ 52 vertical superposition relationship sand body, and segmented interbedded sand bodies are better at holding oil than thin interbedded sand bodies. The horizontal contact relationship of Chang 4+ 52-1 sand body consists mostly of vertical superposition, cutting superposition, and horizontal overlap sand body, with cutting superposition sand body having the highest oil-bearing property. The Chang 4+ 52-2 mainly develops a horizontal overlap and an isolated sand body with a relatively worse oil-containing property.Keywords：Nanniwan Oilfield;Chang 4+ 5;vertical superposition of sand body;horizontal contact relationship of sand body;oil-water distribution- 5
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Published：2023-05-04 -
Mesoproterozoic tectonic and paleogeographic evolution of the Yanliao Rift Basin in the northern North China Craton: Constraints from detrital zircon ages of the Xiamaling Formation in the Jixian area
Abstract：The Yanliao Rift Basin is located in the northern part of the North China Craton, which recorded the intracontinental extension following the Paleoproterozoic collision of the North China Craton, the breakup of the Nuna supercontinent, along with the Mesoproterozoic oxygenation event. However, studies on the Mesoproterozoic Paleogeography and tectonic evolution of the Yanliao rift basin is less studied. In this paper, we systematically investigated the sedimentary characteristics of the Jixian system in the Jixian area, and obtained detrital zircon U-Pb ages for the clastic rock samples from the standard stratigraphic section of the Xiamaling Formation of the Jixian system. LA-ICP-MS zircon U-Pb dating results show that the 207Pb/206Pb ages of detrital zircons from the Xiamaling Formation quartz sandstone samples range from 3 270 to 1 806 Ma, with two significant age peaks at 1 880 Ma and 2 530 Ma. The results show that the sandstone of Xiamaling Formation is mainly composed of detritus from Neoarchean and late Paleoproterozoic, and the two most significant age peaks correspond to the Middle Archean-Paleoproterozoic geological events in the North China Craton respectively. In addition, a few older detrital zircons（～2 750 Ma and 3 200 Ma）also occur, corresponding to Archean magmatic events in the North China Craton, respectively. The detrital zircon age distribution indicate that the Xiamaling Formation was deposited in an extensional setting. Given the sedimentary assemblages of the Jixian system and the underlying Changcheng System, we here conclude that the tectonic evolution of the Yanliao Rift Basin can be roughly divided into four stages: ① The post-collision extensional transition stage（1.85～1.60 Ga）; ② Early intracontinental extension（1.60～1.40 Ga）; ③ The rifting basin stage corresponding to the global breakup of the Nuna supercontinent（1.40～1.30 Ga）; ④ Overall uplifting stage（1.32～1.0 Ga）.Keywords：华北克拉通;Yanliao Rift Basin;Xiamaling Formation;detrital zircon;provenance analysis- 5
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Published：2023-05-04
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