[an error occurred while processing this directive]

Table of Content

    20 September 2023, Volume 59 Issue 5
    Genetic Diversity and Phylogenetic Relationship of the Cosmopolitan Bdelloid Rotifer Rotaria sordida
    WANG Qing, WANG Wenbo, LI Ying, YANG Yufeng
    2023, 59(5):  719-728.  DOI: 10.13209/j.0479-8023.2023.054
    Asbtract ( )   HTML   PDF (898KB) ( )  
    Related Articles | Metrics
    In order to understand the phylogeny of Rotaria sordida in China and the world, and to clarify the driving factors of the genetic differentiation of bdelloid rotifers, R. sordida samples were collected from 12 cities in 10 provinces of China, and 32 COⅠ gene sequences were obtained. Moreover, 47 COⅠ gene sequences from Europe and Oceania in the GenBank database were downloaded, and the Bayesian phylogenetic tree was constructed at China and global scales, respectively. The results showed that the COⅠ gene sequences of R. sordida in China were divided into two taxonomic clusters, and their phylogenetic relationships were not only affected by geographical location, but also related to habitat types. At global level, all sequences were also divided into two clusters, and some sequences in China were clustered with sequences from Europe and Oceania. The bdelloids with the same habitat type in the two clusters had high homology. It was speculated that the phylogeny of bdelloid rotifers was driven by geographic distribution and habitat heterogeneity. Genetic diversity analysis based on the Generalized Mixed Yule Coalescent model (GMYC) showed that 22 haplotypes and 12 cryptic species were identified from the COⅠ sequence of R. sordida in China; 45 haplotypes and 28 cryptic species were identified from the global COⅠ sequence. This indicated the high hidden diversity in R. sordida species complexes. Therefore, habitat heterogeneity played an important role in cryptic species differentiation of R. sordida. This study preliminarily explained the phylogenetic relationship and genetic diversity of R. sordida in China and the world. Furthermore, this study supplemented the COⅠ gene database of bdelloid rotifers in China, and provided basic data for lineage biogeographic studies in the future. 
    Relationship between Positive Coping Style and Essential Hypertension: A Case-Control Study
    LÜ Yan, PANG Fangfang, SONG Zhenyu, HAO Shuwei
    2023, 59(5):  729-734.  DOI: 10.13209/j.0479-8023.2023.059
    Asbtract ( )   HTML   PDF (460KB) ( )  
    Related Articles | Metrics
    To explore the relationship between stress coping style, anxiety, depression and essential hypertension (EH), 156 EH patients and 156 healthy accompanying members from a community hospital in Beijing were investigated by SCSQ, BAI and BDI-II. There was a significant positive correlation between EH and anxiety, depression (r = 0.23, 0.18; p < 0.05), but no significant relationship with positive coping style. Structural equation model analysis results showed that the direct effect of positive coping style on EH was 0.237 (95%CI = [0.105, 0.366]), the partial mediating effect value of anxiety was ?0.096 (95%CI = [-0.022, -0.006]), and the partial mediating effect value of depression was -0.084 (95%CI = [-0.020, -0.003]). The mediating effect accounted for 43.3% of the total effect. Positive coping style has a direct and positive impact on the development of EH. However, on the contrary, it can reduce the risk of EH by influencing anxiety and depression. Therefore, the effect of positive coping style on EH is complex.
    Knowledge-Driven Interactive Graph Search
    LI Yingxue, CHEN Shaohan, ZHENG Weiguo
    2023, 59(5):  735-746.  DOI: 10.13209/j.0479-8023.2023.049
    Asbtract ( )   HTML   PDF (1491KB) ( )  
    Related Articles | Metrics
    The existing interactive graph search methods are mainly limited to optimize the annotation cost of single data. To solve this problem, this paper introduces a knowledge-driven method of modeling prior probability information for batch data annotation tasks which are more common in real scenes. This method extracts knowledge between entities of batch data and guides machine algorithms, thus reducing the cost of interactive graph search on the whole. The results of experiments on real datasetsverifies the superiority of proposed algorithm in terms of interaction efficiency compared with existing methods.
    Optimal Road Congestion Charging Model in Mixed Driving Environment of Connected Autonomous Vehicle and Human-Driven Vehicle
    LI Hao, KANG Liujiang, LUO Sida, SUN Huijun, WU Jianjun
    2023, 59(5):  747-756.  DOI: 10.13209/j.0479-8023.2023.066
    Asbtract ( )   HTML   PDF (1875KB) ( )  
    Related Articles | Metrics
    In order to get the optimal road congestion charging scheme in mixed driving environment of connected autonomous vehicles (CAV) and human-driven vehicles (HDV), this paper conducts a quantitative analysis of the impact of CAV on road networks (especially on road capacity), and analyzes the functional relationship between the road capacity and HDV flows as well as CAV flows. Secondly, the traditional Bureau of Public Road (BPR) Function is improved, and the system optimal allocation model is established based on the new BPR function. The system optimum (SO) assignment is performed on the traffic flow under the conditions of different CAV proportions and different HDV-CAV headways. Then, Frank-Wolfe algorithm is used to solve the SO model, by considering the extra traffic cost of HDV in the differences of SO results under different conditions. The corresponding road networks are formulated using the optimal toll theory charge plan. Finally, the model and the algorithm are applied to the Nguyen-Dupuis transportation network. The results show that under the coexisting condition of HDV and CAV, the marginal cost under the optimal allocation result of the system is the optimal congestion charging which can be the basis for the road toll scheme design under the coexistence of HDV and CAV.
    Reinforcement Learning of Spiking Neural Network Based on Knowledge Distillation
    ZHANG Ling, CAO Jian, ZHANG Yuan, FENG Shuo, WANG Yuan
    2023, 59(5):  757-763.  DOI: 10.13209/j.0479-8023.2023.065
    Asbtract ( )   HTML   PDF (1417KB) ( )  
    Related Articles | Metrics
    We propose the reinforcement learning method of Spike Distillation Network (SDN), which uses STBP gradient descent method to realize the knowledge distillation from Deep Neural Network (DNN) to Spiking Neural Network (SNN) reinforcement learning tasks. Experiment results show that SDN converges faster than traditional SNN reinforcement learning and DNN reinforcement learning methods, and can obtain a SNN reinforcement learning model with smaller parameters than DNN. SDN is deployed to the neuromorphology chip, and the power consumption is lower than DNN, proving that SDN is a new and high-performance SNN reinforcement learning method and can accelerate the convergence of SNN reinforcement learning.
    AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
    LIU Xiangcheng, CAO Jian, YAO Hongyi, XU Pengtao, ZHANG Yuan, WANG Yuan
    2023, 59(5):  764-772.  DOI: 10.13209/j.0479-8023.2022.115
    Asbtract ( )   HTML   PDF (772KB) ( )  
    Related Articles | Metrics
    Previous channel pruning methods require complex search and fine-tuning processes and are prone to fall into local optimal solutions. To solve this problem, the authors propose a novel channel pruning framework AdaPruner, which can generate corresponding sub-networks adaptively for various budget complexities and efficiently select the initialization weights suitable for the current structure by sparse training once. Experimental results show that the proposed method achieves better performance than previous pruning methods on both commonly used residual networks and lightweight networks on multiple datasets for image classification task. 
    Construction of Tibetan Emotional Speech Database
    PENGMAO Zhaxi, CAI Zhijie, CAIRANG Zhuoma
    2023, 59(5):  773-781.  DOI: 10.13209/j.0479-8023.2022.121
    Asbtract ( )   HTML   PDF (1032KB) ( )  
    Related Articles | Metrics
    The classification of Tibetan speech emotion types is not detailed enough, and the database size of speech emotion analysis is also small. Based on the analysis of the classification of speech emotion types and database of Chinese, English and other languages, this paper designs a construction scheme of Tibetan emotional speech database, including Tibetan speech emotional classification, emotional speech collection, emotional speech tagging and effectiveness analysis, etc. According to this scheme, an emotion type set (TESCS-9) for Tibetan speech emotion analysis is established. 2786 Tibetan emotional speech is collected by recording and editing methods, and annotated. The improved fuzzy comprehensive evaluation method is used to evaluate the emotional speech, so as to obtain a 2745 Tibetan emotional speech database (TESDB-2745), laying the foundation for Tibetan speech emotion analysis.
    Formation and Erosion of Zeolites in Conglomerate Reservoirs Impact on Physical Properties: an Example of a Conglomerate Gas Reservoir of Lower Permian Jiamuhe Formation in Middle Abduction Bulge on Northwest Margin of Junggar Basin
    ZHAO Changyong, SHI Xiang, LIAO Wei, YAN Liheng, DAI Canxing, LI Xutao, SHI Yongmin, ZHENG Haoxuan
    2023, 59(5):  782-792.  DOI: 10.13209/j.0479-8023.2023.058
    Asbtract ( )   HTML   PDF (66205KB) ( )  
    Related Articles | Metrics
    Taking the reservoir of the Lower Permian Jiamuhe Formation Conglomerate Gas Reservoir in the Zhongguai Uplift as a research case, based on core observation, optical microscopy, and full spectrum scanning electron microscopy, this paper analyzes the development characteristics of turbidite in conglomerate reservoirs, explores its genetic mechanism, and analyzes the effects of filling, dissolution, and content changes of turbidite on reservoir properties. The following understanding are obtained. 1) Turbidite is not only filled in conglomerates, andesitic gravels, and primary gas pores within the particles, but also widely distributed among the gravel skeleton particles, accounting for over 80% of the cement content. It is closely related to the composition of basic and alkaline volcanic parent rocks in the study area. 2) The origin of zeolite in the study area can be divided into two types: endogenous and exogenous. The zeolite formed by endogenesis is filled in the primary pores of andesitic gravel, which is related to the low-temperature hydrothermal process or contact metasomatism of volcanic rock; The zeolite of exogenic type is formed by the alteration of various volcanic lava and tuff with high glassy content by alkaline aqueous solution after devitrification and filling in the pores of gravel skeleton, which makes the reservoir compact. The typical zeolite is formed by weathering and leaching. 3) Zeolites have a significant impact on the reservoirs in the study area. In the early alkaline environment, the filling and cementation of a large amount of zeolites have a negative effect on the densification of the reservoir. In the later acidic environment, some zeolites have a positive effect on the dissolution of secondary pores, with a large amount of filling in the gravel pores leading to the negative effect of densification. In summary, the degree of cementation, content, and later dissolution of zeolite minerals control the reservoir performance.
    A PM2.5 Interpolation Method Based on Neural Network for Optimum City Matching
    ZHOU Pei, YANG Fan, WEI Jun
    2023, 59(5):  793-800.  DOI: 10.13209/j.0479-8023.2023.051
    Asbtract ( )   HTML   PDF (761KB) ( )  
    Related Articles | Metrics
    In order to solve the problem that some cities have serious PM2.5 concentration data deficiency and can not get prediction model by training their own data, this paper proposes a method to use prediction model of similar cities to fill in historical data of target city. Based on the meteorological data, urban development data and PM2.5 concentration data of 23 cities, an interpolation model of PM2.5 daily concentration data is established based on self-organizing map (SOM) and gated recurrent unit (GRU) neural network and use it and raditional interpolation (linear interpolation and quadratic interpolation) methods are used to fill missing data respectively. The comparision of filling effects show that the SOM city matching model can accurately match the similar cities of the target city. For the missing data less than 5 days, the filling effect of traditional interpolation methods are better than that of GRU interpolation model. For the missing data more than 5 days, the GRU interpolation model is more competent to fill in the missing data for a long time.
    Study on the Relationship Between Industrial Structure and Land Use Structure of Rural Areas in Huang-Huai-Hai Plain: A Case Study of Quzhou County
    WANG Nan, HAO Jinmin, HOSHINO Satoshi, TIAN Yufu
    2023, 59(5):  801-812.  DOI: 10.13209/j.0479-8023.2023.050
    Asbtract ( )   HTML   PDF (934KB) ( )  
    Related Articles | Metrics
    Based on information entropy, deviation coefficient of structural change rates and vector auto-regression model, taking Quzhou County as a typical case, this paper made a comprehensive study on the dynamic change characteristics and interactive relationship of industrial structure and land use structure of rural areas in Huang-Huai-Hai Plain. The results show that in recent years, the evolution of industrial structure in Quzhou County has experienced the process of primary industry dominating, balance of primary and secondary industries and secondary industry dominating. The great proportion of land for the primary industry leads to the extremely unbalanced land use structure, but the land use structure is developing to an equilibrium state. Industrial structure adjustment and land use structure adjustment are uncoordinated, and land use structure adjustment lags behind, but there is a long-term and stable relationship between them. Before 2009, the adjustment of industrial structure promoted the change of land use structure, but after that, the causality was opposite. In the later stage, the driving effect of land use structure adjustment on the subsequent optimization of land use structure and the upgrading of industrial structure was more lasting and significant. Over a period time in the future, optimizing the land use structure of the three industries by improving the land use efficiency of the primary industry, exploiting the land use potential of the secondary industry, and widening the land use scope of the tertiary industry is an effective way to promote the continuous upgrading of industrial structure in rural areas of Huang-Huai-Hai Plain. 
    Analysis of Ecological Benefits of Mangrove Protection and Restoration Measures in the Mainland of China in the Past 40 Years
    HUANG Fanfei, TANG Lili, LI Ruili
    2023, 59(5):  813-822.  DOI: 10.13209/j.0479-8023.2023.046
    Asbtract ( )   HTML   PDF (1125KB) ( )  
    Related Articles | Metrics
    This paper analyzes the area, carbon storage and biodiversity of mangroves in the Mainland of China in the past four decades, and systematically evaluates the ecological benefits of mangrove conservation and restoration measures. In the implementation of mangrove conservation and restoration measures show that compared with 48800 hectares in the 1970s before development, the mangrove area decreased to about 18600 hectares from 1980 to 2000, and the mangrove carbon storage decreased from 45.7 Mt CO2e to 15.4 Mt CO2e. From 2000 to 2020, the restoration of mangroves has been strengthened, and the area has been restored to 28000 hectares in 2020, and the carbon storage has increased to 24.1 Mt CO2e, but it is later than the area recovery. From 1980 to 2000, the number of species of native true mangroves has not decreased, but the population size has been greatly affected. The species is seriously endangered. Among the existing 28 species (including Laguncularia racemosa and Sonneratia apetala introduced from abroad), 15 species are endangered in different degrees. From 2000 to 2020, although the recovery efforts have increased, the endangered status has not been significantly improved. In all, this paper puts forward corresponding restoration countermeasures.
    Analysis of Air Pollution Emission Effects of the Industrial Sector in Hebei Province Based on the Emission Decomposition
    WANG Han, ZHANG Jinbo, GUO Huaicheng, ZHANG Wenjie, WANG Shulan
    2023, 59(5):  823-832.  DOI: 10.13209/j.0479-8023.2023.048
    Asbtract ( )   HTML   PDF (870KB) ( )  
    Related Articles | Metrics
    In order to explore the impact of social, economic and industrial energy factors on air pollution emissions of the industrial sector in Hebei Province, the LMDI model was adopted to decompose the air pollutant emissions of the industrial sector in Hebei Province from 2013 to 2020. Four economic and industrial energy consumption scenarios were set according to the current economic development and pollutant emission trend. The contributions of future socio-economic and industrial energy effects to pollutant emission in Hebei Province by 2035 were predicted under these scenarios. The results show that the industrial structure and energy structure of Hebei Province have been thoroughly adjusted in recent years, and the dependence of economic development on industry has been reduced. The reduction of industrial sector capacity and the elimination of outdated production capacity have achieved remarkable results. Clean use of energy is still an effective means of industrial green and clean transformation. In addition, the current energy structure of the industrial sector still needs to be further adjusted, and the application of new energy and clean energy in the industrial sector is the main adjustment direction in future. The prediction results indicate that the slowdown of gross regional domestic product growth will promote the emission reduction of air pollutants in the industrial sector, and the contribution of the adjustment of industrial and energy structure to the emission reduction of air pollutants in the industrial sector will gradually increase. 
    Historical Trend and Future Projections of Global On-shore Wind Power Generation Potential
    LIU Wang, XING Xiaofan, WANG Rong
    2023, 59(5):  833-842.  DOI: 10.13209/j.0479-8023.2023.062
    Asbtract ( )   HTML   PDF (2961KB) ( )  
    Related Articles | Metrics
    By constructing simple linear regression model in space, global wind power generation potential and wind power density during 2021-2100 are predicted based on the historical data in 1981-2020 including wind speed, wind power density and annual average surface temperature from 1981 to 2020. From 1981 to 2020, the global wind power generation potential and wind power density show a declining trend, whereas the global annual average surface temperature shows an increasing trend, and there is a certain degree of correlation between the two trends. The results of simple linear regression models show that the mean of yearly total continental power generation potential and the annual average surface temperature in 11 regions are well correlated, negatively in most regions. Under different shared socio-economic pathways (SSPs) in the future, there will be large differences in the global total annual average on-shore wind power generation potential. Under the SSP5-8.5 scenario with the fastest temperature rise, by the end of this century, global total on-shore wind power generation potential will be reduced by 3.3% relative to the level in 2020. By contrast, under the SSP1-1.9 scenario with the highest carbon emission reduction, global total on-shore wind power generation potential is likely returning to the level in 2020 as global annual average surface temperature falls in the second half of this century. Compared with the best scenario SSP1-1.9, the wind power density is decreasing on 61% of global lands under the other SSP scenarios. The faster the temperature is rising in a SSP scenario, the more the wind power density values will decline, and the less the potential of wind power generation will be achieved in the future.
    Mapping Corn Seedling Using Spectral, Morphological Features and Hough Transformation from UAV Images
    YANG Xinyu, LI Peijun
    2023, 59(5):  843-853.  DOI: 10.13209/j.0479-8023.2023.064
    Asbtract ( )   HTML   PDF (17602KB) ( )  
    Related Articles | Metrics
    Using spectral features, morphological features and Hough transformation from UAV images, a method of mapping corn seedling is proposed. First, spectral features and morphological features are extracted from UAV images and then are separately classified using an improved one-class random forest for mapping of corn seedling. Second, Hough transform is used to extract the corn seedling rows from the classification results with morphological features. Third, the corn seedling classification results with spectral features and the corn seedling rows from Hough transform are combined to obtain the final seedling mapping result. The proposed mapping method is evaluated in two study areas. The results demonstrated that the proposed method, effectively combines morphological features and Hough transform in mapping of corn seedling, thus obtaining better results compared with the existing methods.
    Modeling Study on the Impact of Climate Change on Air Pollution
    WU Yazhen, LI Danyang, ZHANG Lin, DAI Hancheng
    2023, 59(5):  854-870.  DOI: 10.13209/j.0479-8023.2023.010
    Asbtract ( )   HTML   PDF (2267KB) ( )  
    Related Articles | Metrics
    Evaluating the schemes and characteristics of models that are applied in studying the mechanism of how climate change would impact air pollution is key to providing a better understanding of the current studies and supporting modeling research in the future. This study reviews existing modeling studies on the topic “climate change impact on air pollution” based on literature investigation. Three types of modeling studies at different spatial scales – global and regional – are identified, and the characteristics and applicability of different research methods are compared. Furthermore, using data from the CMIP5 climate model intercomparison project and the atmospheric chemical transport model WRF-Chem, the impacts of future changes in meteorology and pollutant emissions in the context of climate change on near-surface summertime O3 concentration in China in 2050 are studied, with the Beijing-Tianjin-Hebei region, Yangtze River Delta region, and Pearl River Delta region selected as representatives for analysis. Results show that under the RCP8.5 climate change and emission pathway, both meteorological and emission changes will impose significant effects on summer ozone concentrations in China by the middle of this century. In most regions of China, changes in emissions would have a significant influence on ozone concentration, but the meteorological field near the East China Sea would also significantly affect future ozone pollution. In addition, a certain degree of interaction between the two factors exists.
    Evaluation of Coupling and Coordinated Development of Rural Revitalization under the Goal of Common Prosperity: Take Guangdong Province as an Example
    YANG Huiyu, TONG De
    2023, 59(5):  871-883.  DOI: 10.13209/j.0479-8023.2023.053
    Asbtract ( )   HTML   PDF (1956KB) ( )  
    Related Articles | Metrics
    By building the evaluation system of rural revitalization and promoting common prosperity from the perspective of coupling and coordinated development, this paper improves the measurement method of coupling coordination degree and coupling coordination influence. Then, taking Guangdong Province as an example, the paper analyzes the spatio-temporal differentiation characteristics of rural coupling and coordinated development in various cities, classifies the types of coupling coordination of rural revitalization, and proposes differentiated guidance strategies. It is expected to provide a new perspective and decision-making support for the evaluation and planning implementation of rural revitalization under the goal of common prosperity.
    Recreational Ecosystem Services: Progress and Prospect
    JIAN Yuqing, XU Kunjing, WANG Zhifang, HUANG Zhibin, YE Tao, JIANG Tianzi, CHENG Kexin
    2023, 59(5):  884-896.  DOI: 10.13209/j.0479-8023.2023.038
    Asbtract ( )   HTML   PDF (3729KB) ( )  
    Related Articles | Metrics
    This study reviews recreational ecosystem services from 2005 to 2020, focusing on the concepts and contents of recreational ecosystem services in China and abroad, organizing research methods, and summarizing research gaps and future perspectives. The results show that the concept of recreational ecosystem services is a general term that can encompass many previous tourism-related concepts, and is applicable to region-wide studies. Existing research on recreational ecosystem services focuses on three dimensions: “Supply: quality and value”, “Demand: recreationist preferences and demand forecasting”, and “Trade-offs: supply and demand, mathematics and interest subjects”. The current research results on “Supply” are abundant and involve multiple approaches, but the exploration of “Demand” and “Trade-offs” is insufficient, lacking a systematic and holistic conceptual and classification system. Therefore, based on the review, this study proposes to expand the connotation of recreational ecosystem services Value from the concept, expand the universality of related research from the object, deepen the formation mechanism from the content, strengthen the value measurement and the use of multi-source data from the method. Furthermore, the paper proposes to translate the theoretical research results into policy management measures and planning design tools in concrete practice, so as to guide sustainable development and promote the benefits of natural ecosystems.
    A Review of the Progress on Fractal Theory to Characterize the Pore Structure of Unconventional Oil and Gas Reservoirs
    ZHANG Chi, GUAN Ping, ZHANG Jihua, LIANG Xiaowei, DING Xiaonan, YOU Yuan
    2023, 59(5):  897-908.  DOI: 10.13209/j.0479-8023.2023.063
    Asbtract ( )   HTML   PDF (4183KB) ( )  
    Related Articles | Metrics
    Focusing on the application of monofractal and multifractal theory in unconventional reservoir research, the research results on the application of fractal theory in quantitative characterization techniques, digital image techniques and techniques for joint multi-method characterization of full-scale pore structure are reviewed. There are four weaknesses in the existing research results: 1) lack of methodological research on joint multi-method for full-scale fractal geometric characteristics; 2) lack of research on the applicability of different fractal dimension calculation models; 3) lack of research on the control factors of segmental fractal pore size; 4) lack of research on the heterogeneity differences of reservoirs containing multiple types of resources by applying fractal theory. The development direction of the application of fractal theory in unconventional oil and gas reservoirs is proposed. On the one hand, the methodological and applicability research of fractal dimension calculation models should be strengthened, and the controlling factors of segmental fractal pore size should be clarified; on the other hand, more in-depth research should be conducted on the dynamic coupling relationship between hydrocarbon generation and fractal dimension change, and the further application of multiple fractal theory in the study of unconventional reservoirs should be strengthened.