Table of Content

    25 May 2018, Volume 2018 Issue 3 Previous Issue    Next Issue
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    A note on Kronecker's double sum and non-holomorphic Eisenstein series
    SHEN Li-chien
    2018, 2018 (3):  1-17.  doi: 10.3969/j.issn.1000-5641.2018.03.001
    Abstract ( 345 )   HTML ( 20 )   PDF (255KB) ( 558 )   Save
    A family of non-holomorphic Eisenstein series of weight k and level N is generated from twisting of the Kronecker double series by Dirichlet characters and from which we will derive its representation in terms of the Whittaker function and the functional equation for the Eisenstein series.
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    Hom-spaces for subregular nilpotent representations of sl(n+1)
    LI Yi-yang, SHU Bin, YE Gang
    2018, 2018 (3):  18-24,45.  doi: 10.3969/j.issn.1000-5641.2018.03.002
    Abstract ( 341 )   HTML ( 25 )   PDF (323KB) ( 560 )   Save
    Let g=sl(n+1) be the special linear Lie algebra over an algebraically closed field k of prime characteristic p with pn+1. We show that the hom-spaces between any two baby Verma modules in the same given block are always nonzero for subregular nilpotent representations of g, which reveals a complete linkage atlas for baby Verma modules.
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    Irreducible sl2-decomposition for a highest weight sl2-module
    CHAI Wei-jun, XIA Li-meng
    2018, 2018 (3):  25-29.  doi: 10.3969/j.issn.1000-5641.2018.03.003
    Abstract ( 333 )   HTML ( 15 )   PDF (159KB) ( 480 )   Save
    In this paper, we study the irreducible highest weight module L0) of affine Lie algebra . Since the three-dimensional simple algebra sl2 is regarded as a Lie subalgebra of , L0) naturally becomes a sl2-module. We present the irreducible decomposition of L0) as a sl2-module.
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    The explicit structure of projectively flat Finsler metrics with three parameters
    LIU Jin-meng, SONG Wei-dong
    2018, 2018 (3):  30-37.  doi: 10.3969/j.issn.1000-5641.2018.03.004
    Abstract ( 307 )   HTML ( 13 )   PDF (248KB) ( 457 )   Save
    In this paper, projectively flat Finsler metrics are considered. A class of projectively flat Finsler metrics with three parameters are formed. Moreover, the sufficient and necessary conditions for the measurement to be considered projectively flat was obtained. In particular, the flag curvature expression of projectively flat Finsler metrics are presented.
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    L2 harmonic 2-forms on a hypersurface in Euclidean space
    ZHANG Quan-rui, LIU Jian-cheng
    2018, 2018 (3):  38-45.  doi: 10.3969/j.issn.1000-5641.2018.03.005
    Abstract ( 323 )   HTML ( 15 )   PDF (275KB) ( 513 )   Save
    In this paper, we study L2 harmonic 2-forms on a complete hypersurface M of Euclidean space Rn+1(n ≥ 3). By applying the Bochner technique, we prove that if the Ln(M) norms of the traceless second fundamental form Φ and the mean curvature vector H are both bounded from above by certain constants which depend only on n, then the L2 harmonic 2-forms on M are parallel. Furthermore, if M is a non-minimal hypersurface, then there is no nontrivial L2 harmonic 2-form on M.
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    AM(s)-Convex function and its Jensen-type inequality
    SONG Zhen-yun, HU Fu-gao
    2018, 2018 (3):  46-54,120.  doi: 10.3969/j.issn.1000-5641.2018.03.006
    Abstract ( 393 )   HTML ( 14 )   PDF (547KB) ( 434 )   Save
    Based on the convexity and general convexity of a function, the authors study extending issues of a convex function. Firstly, the concept and sign of weighted r-th power s-mean of n positives are introduced; secondly, the AM(s)-convex function is defined by weighted r-th power s-mean; thirdly, the judgment theorem and operation properties of AM(s)-convex function are discussed; and finally, the Jensen-type inequality of the AM(s)-convex function is proved and an equivalent form is provided. The study shows that the AM(s)-convex function is a subset of general convex functions that includes many convex functions. Studying the AM(s)-convex function with the method of weighted r-th power s-mean is an effective way of extending and studying convex functions. This method explores a new approach to extending and studying convex functions.
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    Chinese named entity relation extraction for enterprise knowledge graph construction
    SUN Chen, FU Ying-nan, CHENG Wen-liang, QIAN Wei-ning
    2018, 2018 (3):  55-66.  doi: 10.3969/j.issn.1000-5641.2018.03.007
    Abstract ( 568 )   HTML ( 33 )   PDF (902KB) ( 870 )   Save
    The enterprise knowledge graph is a kind of domain knowledge base for the financial field to describe business relationships between enterprises. Although the domain knowledge graph is not broadly covered in the field, the precision of the knowledge is better than with an open knowledge graph. Despite the fact that open knowledge graphs have made significant advancements in recent years, vertical fields-especially business-have not seen in-depth applications in practice; this has resulted in significant demands on the enterprise knowledge graph. This paper proposes a Chinese entity relation extraction method based on classification for the limitation of extraction results. In this method, the maximum entropy model is used to analyze the data of selected companies' announcements to determine the optimal feature template. The results show that accuracy rates reach over 85% in the enterprise bulletin data set.
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    Algorithm for service optimization under multi-QoS constraints for data services in a food traceability system
    YUAN Pei-sen, LI Wei, REN Shou-gang, XU Huan-liang
    2018, 2018 (3):  67-76.  doi: 10.3969/j.issn.1000-5641.2018.03.008
    Abstract ( 319 )   HTML ( 13 )   PDF (656KB) ( 517 )   Save
    The concept of data services plays an important role in the era of big data. In this paper, an optimization algorithm for web services in food safety traceability is investigated based on the SOA (Service-Oriented Architecture) framework. Traceability services are commonly data-intensive systems, which need to combine multi-source web services. In this paper, by extracting important QoS (Quality of Service) indexes from the web and data services of the system, a multi-QoS based benefit ratio (MQBR) is established, which is then used on the traceability platform for food security management. Based on the MQBR model, the skyline and heuristic method of artificial intelligence is proposed for optimizing the efficiency and quality of service selection. Experiments are conducted to prove the validity of the algorithm. The methods of our study are designed and applied to a food security management application, with multiple QoS constraints in the traceability systems, to improve the overall performance and service quality.
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    Algorithm for video click-through rate prediction
    KUANG Jun, TANG Wei-hong, CHEN Lei-hui, CHEN Hui, ZENG Wei, DONG Qi-min, GAO Ming
    2018, 2018 (3):  77-87.  doi: 10.3969/j.issn.1000-5641.2018.03.009
    Abstract ( 451 )   HTML ( 24 )   PDF (740KB) ( 597 )   Save
    Click-through rate prediction has played an important role in video recommendation systems. A video recommendation system can suggest media to users based on the results of click-through rate prediction. In this way, users may be more likely to click the videos recommended by platforms. However, given the volume and imbalance of data in some applications, the accuracy of click-through rate prediction may be very low. To improve the performance, this paper proposes an integrated approach by combining feature engineering with techniques from machine learning. In the first stage, the algorithm uses feature engineering to extract user, video, and combinational features from the original dataset. In the second stage, the algorithm predicts the click-through rate by employing supervised models of logistic regression, factorization machine, and gradient boosting decision tree combined with logistic regression. The experimental results illustrate that the prediction accuracy of the factorization machine model and the gradient boosting decision tree combined with logistic regression model are better than the logistic regression model. Moreover, the cross combination of user and video features can improve the accuracy of the click-through rate prediction.
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    The design and implementation of an efficient order management system based on Cedar
    PAN Yu-chen, LI Yu-ming, ZHANG Chun-xi, ZHANG Rong, HONG Dao-cheng
    2018, 2018 (3):  88-96.  doi: 10.3969/j.issn.1000-5641.2018.03.010
    Abstract ( 419 )   HTML ( 23 )   PDF (1642KB) ( 608 )   Save
    With the development of Internet, enterprises are increasingly relying on the Internet for core functionality of their business systems. Legacy business systems which were based on centralized data management platforms, such as MySQL, have shortcomings in usability when the systems are used on the Internet instead of for internal business processes. They are not suitable for supporting new business requirements which require scalability with concurrent transactions and conflict resolution. In this paper,we design and implement a scalable order management system which supports order storage, assigning orders, and order rushes using the distributed Cedar database and Netty communication framework. The characteristics are designed on the basis of an in-depth analysis of current business characteristics. We verify our design on real workload of a Haier system. The experimental results show that the proposed order management system has good scalability, high throughput, and low latency.
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    Attribute reduction based on information entropy of approximation boundary accuracy
    LIANG Bao-hua, WU Qi-lin
    2018, 2018 (3):  97-108,156.  doi: 10.3969/j.issn.1000-5641.2018.03.011
    Abstract ( 386 )   HTML ( 13 )   PDF (764KB) ( 519 )   Save
    From an information point of view, only the size of knowledge granularity is taken into account, while the importance of attributes cannot be objectively and comprehensively measured. First, starting from the perspective of algebra, the concept of approximate boundary accuracy is proposed. Afterwards, according to the definition of relative fuzzy entropy, this paper proposes two new concepts for relative information entropy and enhanced information entropy. Compared with relative fuzzy entropy, the proposed information entropy has an obvious magnification effect. Two new methods of attribute reduction are subsequently proposed by incorporating approximate boundary accuracy into relative information entropy and enhanced information entropy. Computing U/(Bb) while making full use of U/B can greatly reduce the computational overhead on time. Finally, through the experimental analysis and comparison, it is validated that the proposed algorithm has feasibility and effectiveness in both reduction quality and classification accuracy.
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    Design and implementation of an authorization system for a graduate school information
    GU Hang, XIA Fan, SONG Shu-bin, XIAO Li-min, DONG Qi-wen, XU Lin-hao, ZHOU Ao-ying
    2018, 2018 (3):  109-120.  doi: 10.3969/j.issn.1000-5641.2018.03.012
    Abstract ( 412 )   HTML ( 19 )   PDF (1088KB) ( 622 )   Save
    Authentication and authorization are critical to ensuring the security of data and services in software systems. To satisfy the need for authorization management during the development of the next generation information platform for East China Normal University's Graduate School, this paper proposes an access domain-based authorization module and uses Spring Security components to implement a hierarchical, configurable, high-performance privilege interceptor. The approach can effectively defend against popular network attacks, such as session attacks and CSRF, guarantee low latency for web service access, and provide a flexible way to meet the frequently changing authorization requirements of faculty from different schools and departments.
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    An analysis of the hadron structure in covariant chiral effective theory
    WEN Li-hong, YANG Ji-feng
    2018, 2018 (3):  121-128.  doi: 10.3969/j.issn.1000-5641.2018.03.013
    Abstract ( 387 )   HTML ( 12 )   PDF (328KB) ( 480 )   Save
    The matrix elements of twist-2 operators related to nucleon-parton distributions were calculated at one-loop level in the framework of covariant chiral perturbation theory. It was found that all who violate chiral power counting reside in the local terms depending on nucleon mass; hence, they could be readily removed through local counterterms, namely the contributions left over fulfill chiral power counting just like with HBChPT (Heavy Baryon Chiral Perturbation Theory). Meanwhile, one may arrive at incorrect behaviors near baryon thresholds due to the oversimplification of baryon propagators in HBChPT. The results here further support the proposition that the approach of covariant chiral perturbation theory with proper subtractions could both preserve the correct threshold behaviors and fulfill chiral power counting, and hence is a framework more suitable for investigating hadron physics.
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    Influence of dipolar magnetic interaction on the LDGMI effect of Fe-based nanocrystalline ribbons
    SU Ya-pan, PAN Hai-lin, ZHAO Zhen-jie, YUAN Meng-ping
    2018, 2018 (3):  129-135,156.  doi: 10.3969/j.issn.1000-5641.2018.03.014
    Abstract ( 453 )   HTML ( 12 )   PDF (995KB) ( 448 )   Save
    In this paper, the hysteresis loops, LDGMI (longitudinal driven giant magnetoimpedance) effect, and impedance phase variations of Fe73.5Cu1Nb3Si13.5B9 nanocrystalline ribbons are investigated. The results show that the anisotropy field and the platform width of the LDGMI curves increase linearly with the number of nanocrystalline ribbons. This stems from the dipole-dipole interactions between the ribbons. Simultaneously, the "platform" width was modulated by the frequency and intensity of the driven field, the broad field amplified with the frequency of the driven field increasing, and gradually decreased with the intensity of driven field increasing. Hence, the work has important reference value for the development of LDGMI devices with multiple cores.
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    Detecting spatiotemporal hotspots for vehicle thefts by multi-scale analysis
    REN Zhe-hao, ZHANG Hao-tian, LIU Wei-hang, GUO Zhong-yang
    2018, 2018 (3):  136-145.  doi: 10.3969/j.issn.1000-5641.2018.03.015
    Abstract ( 395 )   HTML ( 12 )   PDF (1603KB) ( 455 )   Save
    The detection of crime hot spots has become increasingly prominent in the conversion from reactive to active policing. There exist many crime analysis methods with good results. This paper focuses on scale effects in analysis. We proposed two multi-scale methods to detect temporal and spatial hotspots for vehicle thefts in a district, whose results were used for policing references. These two methods and their results are stated as follows:① a scaling method is proposed and combined with a rigid process to aggregate temporal data. Through this combination, temporal hotspots can be detected when data are not sufficient under mono-scale. Results showed that daily hot spots (30 days) and hourly hot spots (20 hours) of vehicle thefts are significant at the study site, on which the rearrangement of shift intervals can be based;② on the basis of daily hot spots, we set a median case density of a convex hull as the evaluation function when applying DBSCAN. The optimal scale, verified by the popular Prediction Accuracy Index, was adaptively chosen. We found that several metro line stations and residence zones need key protection.
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    Validation of temperature and relative humidity profiles with satellite hyperspectral infrared sounder over East China
    GU Ya-ru, LIU Yan-An, LIU Chao-shun, LI Zheng-long
    2018, 2018 (3):  146-156.  doi: 10.3969/j.issn.1000-5641.2018.03.016
    Abstract ( 385 )   HTML ( 14 )   PDF (2041KB) ( 496 )   Save
    Satellite hyperspectral infrared data provide high temporal and spatial resolution information on atmospheric temperature and humidity profiles. They are important data source for numerical weather prediction models. Quality control of the data and correct characterization of observation errors are key to the successful application of assimilation. The radiosonde data is a direct measurement with high precision, which can be used to validate satellite retrievals. During the flood season of East China, high density radiosonde observations provide a valuable opportunity to examine the quality and quantify the error of Atmospheric Infrared Sounder (AIRS) retrieved products, both of which have a similar observation time at 14:00 Beijing time. This study focuses on East China during the summer of 2015. Results show that the AIRS retrieved temperature profiles are in good agreement with the radiosonde data, whilst the AIRS retrieved relative humidity profiles show the phenomenon of wetter in higher layers and drier in lower layers. The RMSE difference of temperature and relative humidity range from 1.02℃ to 2.49℃ and from 12.91% to 23.43%, respectively. Under the AIRS and AMSU (Advanced Microwave Sounding Unit) joint inversion products, the accuracy of retrieved temperature and humidity profiles are gradually degraded with the increasing number of total cloud fraction, but the results maintain a certain accuracy as a whole. This study provides a basis for the satellite data assimilation application under cloud cover.
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    Study on spatial distribution of residential care facilities in Shanghai
    CHEN Jie, YAO Shen-jun, WU Jian-ping, HUANG Le-le, REN Zhe-hao
    2018, 2018 (3):  157-169.  doi: 10.3969/j.issn.1000-5641.2018.03.017
    Abstract ( 454 )   HTML ( 16 )   PDF (1970KB) ( 577 )   Save
    In order to provide decision support for the development planning of residential care facilities, this study investigates spatial distribution and location selection of residential care facilities based on data from care facilities and GIS spatial analytical tools. The results show that existing nursing services can generally meet demands, but there are significant regional differences. Residential care facilities in Shanghai are spatially clustered in the central urban area. Facilities in the city center are adjacent to residential areas and medical institutions; meanwhile, the location of residential care facilities in the suburbs are isolated, probably due to a lack of medical service. Therefore, this paper suggests that the government should provide elderly residents with more nursing support in the suburbs to ensure social equity.
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    Influence of the diversion project and bathymetric change of Ruifeng Shoal on the flow diversion ratios in the South and North Passage of Yangtze River Estuary
    DAO Fu-hai, LUAN Hua-long, YANG Wan-lun, DING Ping-xing, GE Jian-zhong
    2018, 2018 (3):  170-183.  doi: 10.3969/j.issn.1000-5641.2018.03.018
    Abstract ( 449 )   HTML ( 15 )   PDF (3122KB) ( 575 )   Save
    This paper analyzes the bathymetric characteristics and the evolution processes affected by human activities in recent years at the bifurcation of the South and North Passage in the Yangtze River Estuary. A high-resolution FVCOM model is used to investigate the impact of the diversion project, the direction of submerged dike and the bathymetric change of Ruifeng Shoal on the ebb flow diversion ratios of the South and North Passage. The results show that the construction of the submerged dike at the bifurcation head has limited influence on the ebb flow diversion ratio of the North Passage. The ebb flow diversion ratio of the North Passage decreases when the submerged dike deflects northward and vice versa; however, the influence of the southward deflection is greater than that of the northward deflection. Scouring of the middle and lower Ruifeng Shoal and the northward shift of the mainstream are favorable for the flow entering the North Passage, which increases the flow diversion ratio of the North Passage in the upstream cross-section. Due to adjustment of the water flux in HengSha channel, the flow diversion ratio of the North Passage is slightly increased in downstream cross-section.
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    Seicercus affinis and records of eleven other new birds in Shanghai
    SHI Hong-liang, SHI Jian-yong, YUAN Xiao, BO Shun-qi
    2018, 2018 (3):  184-189.  doi: 10.3969/j.issn.1000-5641.2018.03.019
    Abstract ( 511 )   HTML ( 90 )   PDF (1157KB) ( 487 )   Save
    We reported twelve new distribution records of bird species in Shanghai. Nine species, including Seicercus affinis, Abroscopus albogularis, Phylloscopus claudiae, Ficedula elisae, Muscicapa muttui, Turdus mupinensis, Oenanthe deserti, Larus glaucescens, Spilornis cheela, were first recorded in Shanghai. Another three species, Netta rufina, Dendrocitta formosae and Pycnonotus xanthorrhous, that were previously recorded but not listed in the Shanghai Bird List were observed again. All twelve species were considered new records for Shanghai. Thus, a total of 457 bird species, belonging to 20 orders and 70 families, have been now recorded in Shanghai.
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    Additional information on Sphagnaceae species in Xinjiang
    LIU Yan, Winira ILGHAR, Gulnigar AYSIRAHUN, Mamtimin SULAYMAN
    2018, 2018 (3):  190-195,211.  doi: 10.3969/j.issn.1000-5641.2018.03.020
    Abstract ( 558 )   HTML ( 86 )   PDF (1159KB) ( 558 )   Save
    Based on extensive investigation and specimen identification of bryophytes in recent years, four new records of Sphagnaceae species have been reported for Xinjiang Province, namely Sphagnum angustifolium, S.cuspidatulum, S.cuspidatum and S.russowii. The major distinguishing morphological characteristics and geographic distribution of these species are discussed in this paper. The key to species of Sphagnaceae in Xinjiang has been provided. In addition, the geographic distribution of Sphagnaceae in Xinjiang was expanded to include Altai City, Qinghe County, Fuhai County and Habahe County, in addition to Hanas National Nature Reserve in Buerjin County, as previously reported. The results provide additional information on Sphagnaceae for bryoflora of Xinjiang.
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    Progress in development of small molecule inhibitors targeting indoleamine 2,3-dioxygenase
    CHEN Rui, FANG Yan-fen, ZHANG Xiong-wen
    2018, 2018 (3):  196-211.  doi: 10.3969/j.issn.1000-5641.2018.03.021
    Abstract ( 656 )   HTML ( 22 )   PDF (1020KB) ( 1061 )   Save
    In the development of cancer, cancer cells can employ a number of mechanisms to escape detection by the immune system. Indoleamine 2, 3-dioxygenase (IDO) is a type of enzyme in immune cells, which catalyzes the metabolism of tryptophan through the kynurenine pathway. Inflammation induced by cancer development can result in overexpression of IDO in protuberance cells and tumor cells in the tumor microenvironment,causing sustained consumption of tryptophan, inhibition of tryptophan-sensitive T cells functional activity, and a decrease in local immune activity in tumor tissues. Inhibition of IDO activity and its expression could effectively activate the immune system to kill tumor cells. Therefore, IDO has become a new target in cancer immunotherapy. Currently, four IDO inhibitors, namely Epacadostat, Indoximod, GDC-0919 and BMS-986205, are in the clinical research stage as potential new anti-cancer molecule immunotherapy drugs. At the same time, new IDO inhibitors such as PF-06840003 and RG70099 are also being investigated. In this article, the pogress of research on IDO and the development of IDO inhibitors as a new anti-cancer drug for tumor immunotherapy is reviewed.
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    Preliminary study on temporal trend lag of organic pollutant concentrations in environmental media and its influencing factors
    MO Jun-chao, HE Yuan, LIU Gang
    2018, 2018 (3):  212-221.  doi: 10.3969/j.issn.1000-5641.2018.03.022
    Abstract ( 385 )   HTML ( 13 )   PDF (442KB) ( 695 )   Save
    131 organic chemicals were used, and a level IV EQuilibrium Criterion (EQC) multimedia model was built. The model was applied to simulate temporal trends of organic chemical concentrations in environmental media using four emission scenarios. Results showed that temporal trends of organic chemical concentrations lagged behind their emissions in most cases, and organic chemicals with higher lgKOW and persistence showed the most obvious lag effect. Correlation analysis showed that persistence was the principal factor influencing the lag time in water, air, and soil; and lgKOW and persistence were the principal factors in sediment. Prediction formulas for lag time were obtained by regression analysis. If the sediment was a sink of organic chemicals, the lag effect would be distinct.The study can be employed to illustrate the theoretical transfer and transformation of organic chemicals in an environmental system.
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    Spatio-temporal changes of ecological vulnerability in the Jiaozhou Bay Coastal Zone
    PANG Li-hua, KONG Fan-long, XI Min, LI Yue
    2018, 2018 (3):  222-233.  doi: 10.3969/j.issn.1000-5641.2018.03.023
    Abstract ( 409 )   HTML ( 21 )   PDF (938KB) ( 443 )   Save
    Using remote sensing data from 2000 and 2016 in the study area, the temporal and spatial variations of regional ecological vulnerability in the the Jiaozhou Bay Coastal Zone were studied based on landscape ecology and the characteristics of the ecological environment. Models of landscape vulnerabity and land ecological vulnerabity were established by characterizing the number of patches, patch density, reciprocal of fractal dimension, vegetation coverage index, and ecological suitability of land use. The results showed that in the past 16 years, the whole study area was predominantly level one and level two vulnerable areas, among which the proportion of vulnerability reduction was 17.52%. When the ecological vulnerability index of land use in 37.48% of sample areas increased, the land ecological vulnerability also increased. The ranking of overall average ecological vulnerability for all the use types was:other land > cultivated land > forest land > construction land > water area; the stability and anti-interference ability of other land, farmland, and forest land system were weak. The distribution of ecological vulnerabity of land was generally heavy in the Northeast and Southwest, gradually reduced by extension, and conversion between different levels of vulnerability showed significant differences and spatial heterogeneity. In Huangdao District, the area of level one and level three vulnerability changed greatly, while the proportion of level one or level two vulnerable areas decreased. The change of the level two vulnerable areas in Jiaozhou increased the most, and the level one and level two vulnerable areas became the most predominant. The Central district of the city had a lower level of change than other regions. The level five vulnerable areas in Chengyang district increased significantly compared with other regions. These results indicate that population, policy, and social and economic development were the key factors that lead to temporal and spatial variation in the ecological vulnerable areas.
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