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Species and life cycles report on Tettigoniidea and Gryllidea in Minhang District, Shanghai Zhuqing HE, Xinyi LIAO Journal of East China Normal University(Natural Science)    2023, 2023 (6): 119-124.   DOI: 10.3969/j.issn.1000-5641.2023.06.011 Abstract （759）   HTML （10）    PDF （1055KB）（276）       Knowledge map    This research study focuses on Tettigoniidea and Gryllidea insects distributed across Shanghai Pujiang Country Park, with data collected twice a month from April to December of Year 2020 and 2021. The results show that 8 species of Tettigonioidea, 16 species of Grylloidea, and 1 species of Gryllotalpidae live in Shanghai Pujiang Country Park. The adult phase and voltinism in their life cycles, moreover, were found to be stable. Most Tettigoniidea and Gryllidea tend to overwinter in soil as diapause eggs, and a proportion of them overwinter as nymphs. The research suggests, furthermore, that using the calling songs of Tettigoniidea and Gryllidea can be a simple and effective way to carry out studies about phenology and ecology of singing insect. Table and Figures | Reference | Related Articles | Metrics

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Comparative evaluations of testing methods for the biodegradation rates of degradable materials Wei ZHAO, Yu LI, Wei ZHANG, Kehua ZHU, Ke ZHOU, Qing LYU, Shixian LIU, Zhenming GE Journal of East China Normal University(Natural Science)    2023, 2023 (6): 158-167.   DOI: 10.3969/j.issn.1000-5641.2023.06.015 Abstract （301）   HTML （10）    PDF （1022KB）（251）       Knowledge map    Herein, based on existing standards for the measurements of material degradation rates and the degradation abilities of microorganisms, four methods were designed to determine material degradation rates. These four methods included two standard methods (inoculums: composting, vermiculite+composting leachate) and two experimental methods (inoculums: vermiculite+Bacillus, vermiculite+thermophilic bacteria). For this, the raw paper and plastic film (polylactic acid, PLA) components of environmentally friendly tape, as well as the finished tapes, were used as test materials to compare the material degradation rates using the above methods. Throughout the 60-day test cycle, both the PLA films and raw paper presented high degradation rates according to the four methods. The degradation rate of finished tape products increased gradually under the composting and vermiculite+composting leachate treatment and marginally rapidly under the vermiculite+Bacillus treatment. Additionally, under the vermiculite + thermophilic bacteria treatment method, the finished tape materials displayed a markedly higher degradation rate than that produced by other methods (roughly 1.7 ~ 7.5 times). Thus, the addition of microorganisms, particularly thermophilic bacteria, enhances the testing efficiency of material biodegradation rates. Therefore, we suggest that the optimization of degradation cultures can improve the testing efficiency of material degradation parameters, allowing manufacturing enterprises to shorten the research and development cycles of biodegradable products. Table and Figures | Reference | Related Articles | Metrics

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Evaluation of eutrophication by satellite remote sensing based on machine learning: A case study of Huancheng River in Hefei Yong ZHANG, Hui WANG, Chuanhua ZHU, Hao ZHOU, Yu ZHAN, Can LI, Yifan XIAO, Lili YANG, Jiaqi LIU Journal of East China Normal University(Natural Science)    2024, 2024 (1): 1-8, 112.   DOI: 10.3969/j.issn.1000-5641.2024.01.001 Abstract （260）   HTML （95）    PDF （1874KB）（178）       Knowledge map    Taking Huancheng River in Hefei City as the study site, machine learning models such as linear regression, random forest, support vector regression, and lasso regression were utilized to establish the relationship between Landsat8 satellite data and water quality parameters, model the reflectance and water quality parameters of remote sensing image values, and compare the performance of four different models. Results showed that the random forest model performed best, and the accuracy of the inversion models for total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (NH3-N) was above 0.7. The concentration distribution map of water quality parameters showed that the pollution of TN and TP was the most significant in the northeast section of Huancheng River, while NH3-N was most present in the southwest section. The water eutrophication distribution map shows that the water body in the eastern section of the Huancheng River showed a moderate nutrition state. Table and Figures | Reference | Related Articles | Metrics

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A review on the application of slow-release oxygen materials in the remediation of polluted rivers and lakes Yang CAO, Dungang GU, Guanghui LI, Minsheng HUANG, Wenhui HE Journal of East China Normal University(Natural Science)    2024, 2024 (1): 9-16.   DOI: 10.3969/j.issn.1000-5641.2024.01.002 Abstract （256）   HTML （22）    PDF （623KB）（280）       Knowledge map    Oxygen-releasing materials are often used in the treatment and restoration of urban waters as an important method to enhance dissolved oxygen. The development of materials with slow-release property can improve the durability and stability of oxygen release in practical engineering. This paper reviews the preparation methods and oxygen release performance of the slow-release oxygen materials reported in recent years. Moreover, the effects and mechanisms of slow-release oxygen materials on the occurrence, migration, and transformation of pollutants such as nutrients in sediments and overlying water of rivers and lakes are reviewed. Finally, prospects and suggestions for the application of slow-release oxygen materials in the remediation of rivers and lakes are proposed. Table and Figures | Reference | Related Articles | Metrics

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Comparative study of the vertical distribution characteristics of microplastics and sampling methods for microplastics in the water column: A case study in the Jiulong River estuary Chunhua JIANG, Jinxu YI, Lixin ZHU, Kai LIU, Changxing ZONG, Daoji LI Journal of East China Normal University(Natural Science)    2024, 2024 (1): 79-89.   DOI: 10.3969/j.issn.1000-5641.2024.01.009 Abstract （246）   HTML （8）    PDF （1342KB）（232）       Knowledge map    Due to the influence of tidal processes, sampling and study of microplastics in estuarine areas have been hampered by inconsistent research methods and large data errors. In this study, whole-water depth sampling was conducted in the Jiulong River estuary using the pumping method in August of 2019. The abundances and distribution patterns of microplastics among different water layers and stations were analyzed and compared with research studies performed using different sampling methods. The results showed that the microplastic abundances in the surface, middle, and bottom waters of the Jiulong River estuary were markedly different and influenced by tidal effects. The abundances of microplastics obtained by different sampling methods were also significantly different. The abundance of microplastics in the surface water was significantly higher than the abundances in the middle and bottom waters near the source of pollution, and the abundances of microplastics in the middle and bottom waters were higher than the abundance in the surface water within the main estuary, which is subject to strong tidal action and has obvious stratification. The pumping method was more effective than the trawling method at retaining plastic fibers. The volume of water sample filtered by the pumping method and the size of the filtering mesh had significant effects on the abundances and sizes of the obtained microplastics. Different sampling methods lead to considerable differences in microplastic abundance results, and it is necessary to take tidal effects into account during microplastic monitoring in tidal estuaries. Therefore, it is recommended that operational monitoring and flux observations of microplastics in tidal estuaries be established and that sampling methods for observation of full tidal periods of flood and dry seasons and high and low tides should be used. Table and Figures | Reference | Related Articles | Metrics

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Integrating multi-granularity semantic features into the Chinese sentiment analysis method Juxiang REN, Zhongbao LIU Journal of East China Normal University(Natural Science)    2023, 2023 (6): 95-107.   DOI: 10.3969/j.issn.1000-5641.2023.06.009 Abstract （243）   HTML （7）    PDF （898KB）（237）       Knowledge map    Chinese sentiment analysis is one of important researches in natural language processing, which aims to discover the sentimental tendencies in the Chinese text. In recent years, research on Chinese text sentiment analysis has made great progress in efficiencies, but few studies have explored the characteristics of the language and downstream task requirements. Therefore, in view of the particularity of Chinese text and the requirements of sentiment analysis, using the Chinese text sentiment analysis method that integrates multi-granularity semantic features, such as characters, words, radicals, and part-of-speech is proposed. This introduces radical features and emotional part-of-speech features based on character and word features. Additionally, this integration uses bidirectional the long short-term memory network (BLSTM), attention mechanism and recurrent convolutional neural network (RCNN). The softmax function is used to predict the sentimental tendencies by integrating multi-granularity semantic features. The comparative experiment results on the NLPECC (natural language processing and Chinese computing) dataset showed that the F1 score of the proposed method was 84.80%, which improved the performance of the existing methods to some extent and completed the Chinese text sentiment analysis task. Table and Figures | Reference | Related Articles | Metrics

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Treatment of industrial park wastewater using a combination of hydrolysis acidification, anaerobic-anoxic-oxic-anoxic-oxic, and Fenton oxidation technology Yanjie HUANG, Guoyi ZHENG, Huayong YU, Hanbin ZHU, Fudong YU, Jing WANG, Xuchao SUN, Jiguang YIN, Lei AN, Yuanyuan LIN Journal of East China Normal University(Natural Science)    2024, 2024 (1): 29-35.   DOI: 10.3969/j.issn.1000-5641.2024.01.004 Abstract （240）   HTML （13）    PDF （880KB）（294）       Knowledge map    Industrial park wastewater is characterized by various components, changeable water quality, complex pollutant factors, poor biodegradability, and high emission standards. A full-scale industrial park wastewater treatment plant in Deqing was used as an example to investigate the technical-economic feasibility of a process combining hydrolysis acidification, anaerobic-anoxic-oxic-anoxic-oxic (A2/O+AO), and Fenton oxidation in treating wastewater from various enterprises, primarily printing and dyeing, food manufacturing, and metal processing factories. The effluent chemical oxygen demand, ammoniacal nitrogen, total nitrogen, and total phosphorus stably met the required discharge limits for Urban Sewage Treatment Plants (DB33/2169—2018), while other indicators reached Grade A standard for Urban Sewage Treatment Plants (GB18918—2002). The engineering investment and actual operation costs of the wastewater treatment plant were 8200 and 2.39 yuan/m3, respectively. Table and Figures | Reference | Related Articles | Metrics

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Method for improving the quality of trajectory data for riding-map inference Jie CHEN, Wenyi SHEN, Wenyu WU, Jiali MAO Journal of East China Normal University(Natural Science)    2023, 2023 (6): 14-27.   DOI: 10.3969/j.issn.1000-5641.2023.06.002 Abstract （231）   HTML （16）    PDF （5823KB）（248）       Knowledge map    The trajectory optimization of cycling is hindered by the errors of positioning equipment, riding habits of non-motor vehicles, and other factors. It leads to quality problems, such as abnormal data and missing positioning information in the riding trajectory, impacting the application of trajectory-based riding-map inference and riding-path planning. To solve these problems, this paper creates a framework for improving the quality of cycling-trajectory data, based on the construction of a grid index, screening of abnormal trajectory points, elimination of wandering trajectory segments, elimination of illegal trajectory segments, calibration of drift trajectory segments, and recovery of missing trajectory. Comparative and ablation experiments are conducted by using a real non-motor-vehicle cycling-trajectory dataset. The experimental results verify that the proposed method improves the accuracy of cycling-map inference. Table and Figures | Reference | Related Articles | Metrics

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A survey on the cell theory of weighted Coxeter groups Jianyi SHI, Qian HUANG Journal of East China Normal University(Natural Science)    2023, 2023 (6): 1-13.   DOI: 10.3969/j.issn.1000-5641.2023.06.001 Abstract （225）   HTML （20）    PDF （1429KB）（252）       Knowledge map    We give a survey on the contribution of our research group to the cell theory of weighted Coxeter groups. We present some detailed account for the description of cells of the affine Weyl group $ \widetilde{C}_n $ in the quasi-split case and a brief account for that of the affine Weyl group $ \widetilde{B}_n $ in the quasi-split case and of the weighted universal Coxeter group in general case. Table and Figures | Reference | Related Articles | Metrics

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Towards an identity inter-relationship-consistent face de-identification method Yifan BU, Xiaoling WANG, Keke HE, Xingjian LU, Wenxuan WANG Journal of East China Normal University(Natural Science)    2023, 2023 (6): 49-60.   DOI: 10.3969/j.issn.1000-5641.2023.06.005 Abstract （219）   HTML （8）    PDF （1499KB）（140）       Knowledge map    The popularity of intelligent devices such as smartphones and surveillance cameras has led to serious face privacy problems. Face de-identification is considered an effective tool for protecting face privacy by concealing identity information. However, most de-identification methods lack explicit control and controllable changes in identifying de-identified face images, resulting in de-identified images that are inapplicable to face authentication and retrieval and other identity-related tasks. Therefore, this study proposes an identity inter-relationship-consistent face de-identification task in which the identity inter-relationship between two arbitrary de-identified faces maintained the same as before de-identification. To this end, a task-driven identity inter-relationship consistent generative adversarial network is introduced to generate de-identified faces with a consistent identity inter-relationship. A rotation-based de-identifier was designed to modify the original identity features to be de-identified with identity inter-relationship consistency. In addition, identity control loss is introduced to guarantee a precise identity generation using a de-identified generator. Qualitative and quantitative results show that our method achieves improvements compared with exiting methods for de-identifying de-identified faces as well as for maintaining their identity inter-relationship consistent. Table and Figures | Reference | Related Articles | Metrics

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Diabetic retinopathy grading based on dual-view image feature fusion Lulu JIANG, Siqi SUN, Haidong ZOU, Lina LU, Rui FENG Journal of East China Normal University(Natural Science)    2023, 2023 (6): 39-48.   DOI: 10.3969/j.issn.1000-5641.2023.06.004 Abstract （213）   HTML （5）    PDF （1286KB）（143）       Knowledge map    The diagnostic method based on dual-view fundus imaging is widely used in diabetic retinopathy (DR) screening. This method effectively solves the problems of image occlusion and limited field of view under single-view. This paper proposes a learning method of feature fusion between dual-view images based on the attention mechanism to improve the accuracy of DR classification by effectively integrating different view information. Due to the small proportion of lesions in fundus images, the self-attention mechanism was introduced to enhance the learning of local lesion features. Moreover, a cross-attention mechanism is proposed to effectively utilize information between dual-view images to improve the classification of dual-view fundus images. Experiments were performed on the internal DFiD dataset and public DeepDRiD dataset. The proposed method can effectively improve the accuracy of DR classification and can be used for large-scale DR screening to assist doctors in achieving an efficient diagnosis. Table and Figures | Reference | Related Articles | Metrics

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Spatial-temporal pattern and regional regulation of supply and demand of ecosystem services in the Yangtze River Delta integration demonstration zone Man PENG, Yiping SHAO, Bei PEI, Mengjie YANG, Gen LI, Wanruo WEN, Kai YANG Journal of East China Normal University(Natural Science)    2023, 2023 (6): 145-157.   DOI: 10.3969/j.issn.1000-5641.2023.06.014 Abstract （201）   HTML （5）    PDF （3391KB）（89）       Knowledge map    The balance between supply and demand of ecosystem services is essential for sustainable development, while differentiated partitioning is important for optimal resource allocation. Based on the carnegie-ames-stanford-approach (CASA), the water balance equation, and the revised universal soil loss equation (RUSLE), this study depicts the supply and demand of carbon fixation and water and soil conservation services and their relationship in the Yangtze River Delta integration demonstration zone from 2000 to 2020. Self-organizing map (SOM) K-means two-order clustering technology is used to identify ecosystem service clusters dividing the ecological management zone. Management strategies are then proposed. The results show that: ① The supply of carbon fixation services continued to decrease but the demand increased. Additionally, the supply and demand of water and soil conservation services showed an increasing trend, and supply was less than demand. ② The supply-demand ratio of carbon fixation and soil conservation services showed an upward trend, whereas the supply-demand ratio of water conservation services showed a downward trend. Significant spatial differences were observed in the supply-demand ratio of ecosystem services. ③ Cluster analysis divided the demonstration area into different types of ecological regulation zones. The urban clusters in Wujiang and Shengze town districts are mainly to improve the capacity of water conservation services. The urban cluster in Qingpu District is to promote the water conservation and carbon fixation services capacity. The pilot start-up area and urban cluster in Jiashan City have a small gap between supply and demand, which focus on comprehensive protection. This study can provide decision-making support for resource allocation, ecological compensation, and coordinated development of regional integration in the demonstration area. Table and Figures | Reference | Related Articles | Metrics

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Sentence classification algorithm based on multi-kernel support vector machine Kaiyan XIAO, Jie LIAN Journal of East China Normal University(Natural Science)    2023, 2023 (6): 85-94.   DOI: 10.3969/j.issn.1000-5641.2023.00.008 Abstract （199）   HTML （4）    PDF （1621KB）（79）       Knowledge map    Mainstream sentence classification algorithms rely on a single word vector model to obtain the feature vector representation of text, which leads to insufficient text mapping ability. Therefore, a multi-kernel learning method is used to fuse multiple text representations based on different word vectors to improve the accuracy of sentence classification. In the process of fusing different kernel functions, traditional kernel function coefficient optimization methods often lead to long training time and difficulty in finding a local optimum. To address this problem, a new kernel function coefficient optimization method that continuously approximates the optimal kernel function coefficient value based on parameter space segmentation and breadth first search was developed. In this study, a support vector machine (SVM) was used as a classifier to perform classification experiments on seven text datasets, and the experimental results showed that the multi-kernel learning classification results were significantly better than those of single-kernel learning. Moreover, the proposed optimization method performed better than traditional methods with less training cost. Table and Figures | Reference | Related Articles | Metrics

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Research on water surface glint removal and information reconstruction methods for unmanned aerial vehicle hyperspectral images Shirui WANG, Fang SHEN, Renhu LI, Peng LI Journal of East China Normal University(Natural Science)    2024, 2024 (1): 36-49.   DOI: 10.3969/j.issn.1000-5641.2024.01.005 Abstract （190）   HTML （16）    PDF （3062KB）（172）       Knowledge map    Suppressing water glint pollution from remote sensing images and reconstructing image information are effective ways to improve the quality of UAV (unmanned aerial vehicle) remote sensing information and increase water environment monitoring areas. It is difficult to apply traditional glint information reconstruction algorithms to UAV hyperspectral images. This study proposes an algorithm for automatic glint detection, removal, and information reconstruction. First, NDWI (normalized difference water index) was used to extract the water body, and the lowest value of the sum of grayscale images in the entire band was used as a threshold to segment the glint, and the Laplace operator was used to extract the glint texture. The difference between the two areas was calculated through multiple rounds of morphological expansion and threshold updates. The lowest difference occurrence frequency was obtained by voting, and the best threshold was obtained in reverse to remove the glint automatically. Then, we determined the matching bands based on principal component analysis and compared the minimum similarity of matching blocks of different sizes to obtain the best size of the image blocks. Finally, we used an improved Criminisi algorithm to reconstruct the flare removal region. The removal algorithm was applied to four real glint scenarios with a removal rate > 99%; the reconstruction algorithm results are superior to those of other algorithms both subjectively and objectively, and the difference between the variation coefficient of each band of the glint reconstruction for water and normal water was within 1%, indicating good spectral application capability. Table and Figures | Reference | Related Articles | Metrics

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Hierarchical description-aware personalized recommendation system Daojia CHEN, Zhiyun CHEN Journal of East China Normal University(Natural Science)    2023, 2023 (6): 73-84.   DOI: 10.3969/j.issn.1000-5641.2023.06.007 Abstract （183）   HTML （6）    PDF （786KB）（147）       Knowledge map    Review text contains comprehensive user and item information and it has a great influence on users’ purchase decision. When users interact with different target items, they may show complex interests. Therefore, accurately extracting review semantic features and modeling the contextual interaction between items and users is critical for learning user preferences and item attributes. Focusing on enhancing the personalization capture and dynamic interest modeling abilities of recommender systems, and considering the usefulness of different features, we propose a hierarchical description-aware personalized recommendation (DAPR) algorithm. At the word level of review text, we design a personalized information selection network to extract important word semantic features. At the review level, we design a neural network based on a cross-attention mechanism to dynamically learn the usefulness of reviews, concatenate review summaries as descriptions, and devise a co-attention network to capture rich context-aware features. The analysis of five Amazon datasets reveal that the proposed method can achieve comparable recommendation performance to the baseline models. Table and Figures | Reference | Related Articles | Metrics

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Mechanism of osteogenesis imperfecta based on collagen heterotrimer Shumin QIANG, Cheng LYU, Fei XU Journal of East China Normal University(Natural Science)    2023, 2023 (6): 108-118.   DOI: 10.3969/j.issn.1000-5641.2023.06.010 Abstract （176）   HTML （8）    PDF （1819KB）（41）       Knowledge map    In this study, Gly→Ala was introduced into three chains of the heterotrimeric model (abc); seven mutants were subsequently constructed, and the local structure and global motion changes were analyzed. DSC results showed that the Tm value of the single point mutation was reduced by about 15°C, while the double and triple point mutations did not form triple helical structures. MD simulation trajectories were analyzed by ladder models; the results showed that the value of the step parameter changes near the mutation point, indicating an unfolding of the triple helix structure. An elastic function was introduced to quantify the degree of collagen structure change. It was found that the hydrogen bond energy was highly correlated with the structural deformation fraction ( $ R^2=0.76 $ ), indicating that the mutation not only destroyed the hydrogen bond force, but also resulted in changes in the bending and motion states of the molecule. This study, combined with calculations and experiments, helped quantify the effects of glycine mutation on the overall structure and movement pattern of collagen. Hence, the study provides a theoretical basis for clarifying the pathogenic mechanism of glycine mutation. Table and Figures | Reference | Related Articles | Metrics

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Driving factors of leaf-unfolding phenology in deciduous trees in Shanghai Yaru ZHANG, Yulan PANG, Xinyi LUO, Jiayi XU, Yanyi YANG, Liangjun DA, Kun SONG Journal of East China Normal University(Natural Science)    2023, 2023 (6): 125-133.   DOI: 10.3969/j.issn.1000-5641.2023.06.012 Abstract （176）   HTML （11）    PDF （790KB）（124）       Knowledge map    To investigate the influence of urban environmental differences on the leaf-unfolding phenology of trees, we extracted the leaf unfolding information of nine tree species using remote sensing data and analyzed their relationships with temperature, precipitation, and nighttime light in a pure forest in Shanghai. The results showed that : ① there were significant differences in the average onset of the leaf-unfolding phenology among species, from 95th to 104th day of the year; contrastingly, intra-species variation in leaf-unfolding date was greater, ranging from 69th to 138th day of the year. ② Different species exhibited different leaf phenology in response to environmental factors. Triadica sebifera was the most sensitive to precipitation changes, Taxodium distichum var. imbricatum was sensitive to precipitation changes and urbanization, and Koelreuteria bipinnata was sensitive to precipitation and climate changes. Other species were not sensitive to any environmental changes. ③ For species sensitive to environmental changes, the leaf-unfolding date was 45 days earlier when the average precipitation increase from 48 mm to 64 mm, and delayed by three days for every 1°C increase in average temperature before the growing season. The study showed that urban forest construction can be reasonably configured according to the response characteristics of a species to the environment, so that plants can better adapt to the environment and fulfill their roles in the ecosystem. Table and Figures | Reference | Related Articles | Metrics

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Applicability of benthic macroinvertebrate evaluation methods in lake-swamp areas: An example in the Yangtze River Delta integration demonstration zone Hong QIN, Lingge ZHAI, Feng XU, Cui WANG, Mian CHENG, Yaoyi LIU, Yue CHE Journal of East China Normal University(Natural Science)    2023, 2023 (6): 134-144.   DOI: 10.3969/j.issn.1000-5641.2023.06.013 Abstract （172）   HTML （4）    PDF （1086KB）（81）       Knowledge map    In this study, a benthic macroinvertebrates survey was conducted in the western Qingpu District. The Benthic Index of Biotic Integrity (B-IBI) was used to assess the regional water ecological health. The relationship between B-IBI and water quality indicators, including related indices, was analyzed, and the applicability of B-IBI in lake-swamp areas was explored. The results showed that the water ecological health of the study area was good overall, the proportion of healthy and sub-healthy sample sites was 67.7%, and B-IBI indexes of the lake-swamp areas are better than those of rivers. The B-IBI index can effectively indicate organic pollution and eutrophication in water bodies. In addition, a significant correlation among the biological indices was found, despite the differences in evaluation results. We conclude that the B-IBI index has good applicability for the water ecology assessment of lake-swamp areas. Table and Figures | Reference | Related Articles | Metrics

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Design and optimization of high-contention transaction processing architecture Xuechao LIAN, Wei LIU, Qingshuai WANG, Rong ZHANG Journal of East China Normal University(Natural Science)    2023, 2023 (6): 28-38.   DOI: 10.3969/j.issn.1000-5641.2023.06.003 Abstract （168）   HTML （10）    PDF （1659KB）（129）       Knowledge map    Shared-nothing distributed databases are designed for the high scalability and high availability request of Internet-based applications. There have been significant achievements in shared-nothing distributed databases, but for some shared-nothing databases with stateless computation layers, long conflict-detection paths challenge database performance under high-contention workloads. To solve this problem, we design two methods, pre-lock and local cache, together with a high-contention detection module that allow high-contention to be quickly detected and the corresponding high-contention-handling strategy applied. Experiments show that our design and optimization for high-contention transaction-processing architecture can improve the performance of distributed databases under high-contention workloads. Table and Figures | Reference | Related Articles | Metrics

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Vegetation growth characteristics and the blue carbon effect ofrestored salt marshes at different developmental agesin Hengsha, the Yangtze River Estuary Xiaohan ZHANG, Huimin TIAN, Xuechu CHEN, Hualei YANG, Rui DING, Mingming ZHAO, Wenhui YOU Journal of East China Normal University(Natural Science)    2024, 2024 (1): 113-121.   DOI: 10.3969/j.issn.1000-5641.2024.01.012 Abstract （164）   HTML （10）    PDF （1146KB）（184）       Knowledge map    Coastal salt marsh wetlands have high productivity and low decomposition rates owing to long-term flooding, and these wetlands store a large amount of soil organic carbon. As newly restored salt marsh wetlands develop, changes in vegetation growth traits, soil physicochemical properties, and organic carbon content affect their carbon sequestration function. In this study, using a restored salt marsh wetland in Hengsha (Chongming, Shanghai) as an example, changes in the vegetation growth characteristics and soil organic carbon content of different vegetation communities at varying developmental ages were analyzed using the spatiotemporal substitution method. Key factors affecting the carbon sequestration capacity of these restored wetlands were also identified. The results showed that the organic carbon content in newly restored salt marsh wetlands increased with developmental age over 0 ~ 20 years. Soil porosity and water content were effective indicators of soil organic carbon content changes. The newly restored wetlands had a high soil carbon density, with a total organic carbon density of (21.49 ± 3.67) tC·hm–2 in the 0 ~ 20 cm soil layer of the eight-year-old wetland, similar to that of the natural wetland. The vegetation growth and carbon sequestration capacity of Phragmites australis were higher than those of Scirpus mariqueter and their ecotone. Table and Figures | Reference | Related Articles | Metrics