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学者姓名：李代超
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Abstract ：
The lack of multidimensional knowledge means that current reasoning methods for rice fertilization cannot make decisions accurate when faced with complex spatiotemporal conditions in general. Therefore, we propose a reasoning method for rice fertilization strategy based on spatiotemporal knowledge graph. First, we systematically organize multisource expert knowledge about rice fertilization, and construct an ontology for rice fertilization consisting of five core elements: rice variety, planting environment, nutrition diagnosis, fertilization schemes, and time and place. Spatiotemporal differences in rice fertilization knowledge are expressed by assessing spatiotemporal concepts, relations, and state instances. Second, we propose a reasoning method for rice fertilization strategy based on the constructed knowledge graph. This method leverages a certainty factor model for nutrition diagnosis and integrates case-based and rule-based reasoning to determine fertilization schemes for different stages. Finally, taking Pucheng County, China, as an example, knowledge from crowd-sensing data is obtained to construct a knowledge graph using the proposed method. The results demonstrate the method can support the expression and complex reasoning of rice fertilization decisions under different spatiotemporal conditions.
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| GB/T 7714 | Lin, Yiting , Li, Daichao , Peng, Peng et al. A reasoning method for rice fertilization strategy based on spatiotemporal knowledge graph [J]. | TRANSACTIONS IN GIS , 2024 , 28 (4) : 902-924 . |
| MLA | Lin, Yiting et al. "A reasoning method for rice fertilization strategy based on spatiotemporal knowledge graph" . | TRANSACTIONS IN GIS 28 . 4 (2024) : 902-924 . |
| APA | Lin, Yiting , Li, Daichao , Peng, Peng , Liang, Jianqin , Ding, Fei , Jin, Xinlei et al. A reasoning method for rice fertilization strategy based on spatiotemporal knowledge graph . | TRANSACTIONS IN GIS , 2024 , 28 (4) , 902-924 . |
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针对广东省细颗粒物(PM_(2.5))污染问题，找到一条实现PM_(2.5)污染控制达标的路径对于广东省各级政府制定相关政策有着重要意义。首先利用广东省各地级市2010—2019年PM_(2.5)和社会经济指标数据构建了PM_(2.5)预测模型，然后面向2025年PM_(2.5)污染控制达标，利用各地级市2019年的社会经济指标数据构建了顾及城市发展特征的差异化的城市PM_(2.5)污染治理情景，最后使用PM_(2.5)预测模型进行情景预测，从而得到广东省“十四五”时期PM_(2.5)污染控制达标路径。结果显示，到2025年，广东省21个地级市PM_(2.5)年均质量浓度都能达到22μg/m~3以下，实现《广东省生态环境保护“十四五”规划》的预期目标。基于达标路径，还提出了“十四五”时期各地级市PM_(2.5)污染治理的政策建议。
Keyword ：
“十四五” “十四五” 广东省 广东省 细颗粒物 细颗粒物 达标路径 达标路径
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| GB/T 7714 | 李聪 , 李代超 , 刘雪冰 et al. 广东省“十四五”时期细颗粒物污染控制达标路径研究 [J]. | 环境污染与防治 , 2024 , 46 (03) : 422-429 . |
| MLA | 李聪 et al. "广东省“十四五”时期细颗粒物污染控制达标路径研究" . | 环境污染与防治 46 . 03 (2024) : 422-429 . |
| APA | 李聪 , 李代超 , 刘雪冰 , 梁建琴 , 谢晓苇 , 许芳年 et al. 广东省“十四五”时期细颗粒物污染控制达标路径研究 . | 环境污染与防治 , 2024 , 46 (03) , 422-429 . |
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Human activity plays a crucial role in influencing PM2.5 concentration and can be assessed through nighttime light remote sensing. Therefore, it is important to investigate whether the nighttime light brightness can enhance the accuracy of PM2.5 simulation in different stages. Utilizing PM2.5 mobile monitoring data, this study introduces nighttime lighting brightness as an additional factor in the PM2.5 simulation model across various time periods. It compares the differences in simulation accuracy, explores the impact of nocturnal human activities on PM2.5 concentrations at different periods of the following day, and analyzes the spatial and temporal pollution pattern of PM2.5 in urban functional areas. The results show that (1) the incorporation of nighttime lighting brightness effectively enhances the model's accuracy (R2), with an improvement ranging from 0.04 to 0.12 for different periods ranges. (2) the model's accuracy improves more prominently during 8:00-12:00 on the following day, and less so during 12:00-18:00, as the PM2.5 from human activities during the night experiences a strong aggregation effect in the morning of the next day, with the effect on PM2.5 concentration declining after diffusion until the afternoon. (3) PM2.5 is primarily concentrated in urban functional areas including construction sites, roads, and industrial areas during each period. But in the period of 8:00-12:00, there is a significant level of PM2.5 pollution observed in commercial and residential areas, due to the human activities that occurred the previous night.
Keyword ：
GWR-GBDT GWR-GBDT Mobile monitoring Mobile monitoring NPP-VIIRS NPP-VIIRS PM2.5 simulation PM2.5 simulation Spatiotemporal analysis Spatiotemporal analysis Urban functional areas Urban functional areas
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| GB/T 7714 | Li, Daichao , Xu, Fangnian , Chen, Zuoqi et al. Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data [J]. | SCIENCE OF THE TOTAL ENVIRONMENT , 2024 , 914 . |
| MLA | Li, Daichao et al. "Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data" . | SCIENCE OF THE TOTAL ENVIRONMENT 914 (2024) . |
| APA | Li, Daichao , Xu, Fangnian , Chen, Zuoqi , Xie, Xiaowei , Fan, Kunkun , Zeng, Zhan . Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data . | SCIENCE OF THE TOTAL ENVIRONMENT , 2024 , 914 . |
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景观是由不同土地单元镶嵌而成的异质区域，通过提供粮食安全、物种维持、生计机会、文化娱乐等功能为提高人类福祉做出重要贡献。景观功能评估作为支撑可持续发展的关键工具，旨在评价区域可持续发展潜力进而指导相关决策。为明确景观功能评估的内涵、理清整体性景观功能评估的研究框架，本文依据研究重点将景观功能评估分为感知、生态、特性及绩效四维度，综合评述各维度的评估内涵、评估方法并提出展望。结果表明：(1)感知维度初步实现从主观判断向数据驱动的转变，但由于受设备、专业技术等制约，数据获取相对困难，质量评估、效果评估或偏好研究相较传统研究发展缓慢；(2)生态维度涉及范畴已基本建立各自的研究框架、研究方法，但还需建立更精准的评估框架才能为挖掘生态系统演变的时空动态特征、关键驱动因子提供技术支撑；(3)特性维度能够帮助景观规划者、决策者增加对景观现状、形成及其未来的认知，核心问题为“在考虑人文、历史、审美、生态价值的基础上实现景观分类”；(4)绩效维度注重景观的可持续发展，正处于研究初期尚欠缺对景观规划管理策略与效益结果之间关联性的探讨。研究认为，景观功能评估呈现出多维度交叉、结合多种理论及方法的发展趋势，整体上对景观的社会历史文化特征关注较少，欠缺多维度交叉的景观功能评估研究框架。未来应从景观特征挖掘、景观功能图谱制作、景观功能评估、景观绩效评估四个方面予以加强，构建面向多尺度、多目标的整体性景观功能评估方法体系，以改善整体性景观功能评估方案制定方面的不足。
Keyword ：
展望 展望 景观功能评估 景观功能评估 评估维度 评估维度
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| GB/T 7714 | 李代超 , 钟淑璇 , 虞虎 . 景观功能评估研究进展及启示 [J]. | 生态学报 , 2024 , (16) . |
| MLA | 李代超 et al. "景观功能评估研究进展及启示" . | 生态学报 16 (2024) . |
| APA | 李代超 , 钟淑璇 , 虞虎 . 景观功能评估研究进展及启示 . | 生态学报 , 2024 , (16) . |
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Abstract ：
景观是由不同土地单元镶嵌而成的异质区域，通过提供粮食安全、物种维持、生计机会、文化娱乐等功能为提高人类福祉做出重要贡献。景观功能评估作为支撑可持续发展的关键工具，旨在评价区域可持续发展潜力进而指导相关决策。为明确景观功能评估的内涵、理清整体性景观功能评估的研究框架，依据研究重点将景观功能评估分为感知、生态、特性及绩效四维度，综合评述各维度的评估内涵、评估方法并提出展望。结果表明：(1)感知维度初步实现从主观判断向数据驱动的转变，但由于受设备、专业技术等制约，数据获取相对困难，质量评估、效果评估或偏好研究相较传统研究发展缓慢；(2)生态维度涉及范畴已基本建立各自的研究框架、研究方法，但还需建立更精准的评估框架才能为挖掘生态系统演变的时空动态特征、关键驱动因子提供技术支撑；(3)特性维度能够帮助景观规划者、决策者增加对景观现状、形成及其未来的认知，核心问题为“在考虑人文、历史、审美、生态价值的基础上实现景观分类”;(4)绩效维度注重景观的可持续发展，正处于研究初期尚欠缺对景观规划管理策略与效益结果之间关联性的探讨。研究认为，景观功能评估呈现出多维度交叉、结合多种理论及方法的发展趋势，整体上对景观的社会历史文化特征关注较少，欠缺多维度交叉的景观功能评估研究框架。未来应从景观特征挖掘、景观功能图谱制作、景观功能评估、景观绩效评估四个方面予以加强，构建面向多尺度、多目标的整体性景观功能评估方法体系，以改善整体性景观功能评估方案制定方面的不足。
Keyword ：
展望 展望 景观功能评估 景观功能评估 评估维度 评估维度
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| GB/T 7714 | 李代超 , 钟淑璇 , 虞虎 . 景观功能评估研究进展 [J]. | 生态学报 , 2024 , 44 (16) : 7401-7415 . |
| MLA | 李代超 et al. "景观功能评估研究进展" . | 生态学报 44 . 16 (2024) : 7401-7415 . |
| APA | 李代超 , 钟淑璇 , 虞虎 . 景观功能评估研究进展 . | 生态学报 , 2024 , 44 (16) , 7401-7415 . |
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Travel mode recognition is a key issue in urban planning and transportation research. While traditional travel surveys use manual data collection and have limited coverage, poor timeliness, and insufficient sample capacity, recent advancements in Global Positioning System (GPS) technology allow large-scale data collection and offer novel opportunities to enhance travel mode recognition. However, existing studies often neglect regular differences and changes in motion states across different travel modes and fail to fully integrate multi-scale spatio-temporal features, which limits the accurate classification of travel modes. To fill this gap, this study proposes a multi-scale spatio-temporal attribute fusion (MSAF) model for precise travel mode identification using solely GPS trajectories without altering their sampling rate. The MSAF model segments GPS trajectories into various temporal and spatial scales, extracting local motion states and spatial features at multiple scales. The spatio-temporal feature extraction module is constructed to extract local motion states and capture spatio-temporal dependencies. Additionally, the model incorporates a multi-scale feature fusion module, which effectively combines features of various scales through a series of fusion techniques to obtain a comprehensive representation, enabling automatic and accurate travel mode identification. Experiments on real-world datasets, including the GeoLife Trajectories dataset and the Sussex-Huawei Locomotion-Transportation (SHL) dataset, demonstrate the effectiveness of the MSAF model, achieving a competitive accuracy of 95.16% and 91.70%. This represents an improvement of 2.50% to 7.95% and 0.8% to 6.62% over several state-of-the-art baselines, effectively addressing sample imbalance challenges. Moreover, the experiments demonstrate the significant role of multiscale feature fusion in improving model performance.
Keyword ：
GPS trajectory GPS trajectory multi-scale attributes multi-scale attributes spatio-temporal convolution spatio-temporal convolution trajectory segmentation trajectory segmentation travel mode identification travel mode identification
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| GB/T 7714 | Fan, Kunkun , Li, Daichao , Jin, Xinlei et al. A multi-scale attributes fusion model for travel mode identification using GPS trajectories [J]. | GEO-SPATIAL INFORMATION SCIENCE , 2024 . |
| MLA | Fan, Kunkun et al. "A multi-scale attributes fusion model for travel mode identification using GPS trajectories" . | GEO-SPATIAL INFORMATION SCIENCE (2024) . |
| APA | Fan, Kunkun , Li, Daichao , Jin, Xinlei , Wu, Sheng . A multi-scale attributes fusion model for travel mode identification using GPS trajectories . | GEO-SPATIAL INFORMATION SCIENCE , 2024 . |
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This paper proposes a novel model for named entity recognition of Chinese crop diseases and pests. The model is intended to solve the problems of uneven entity distribution, incomplete recognition of complex terms, and unclear entity boundaries. First, a robustly optimized BERT pre-training approach-whole word masking (RoBERTa-wwm) model is used to extract diseases and pests' text semantics, acquiring dynamic word vectors to solve the problem of incomplete word recognition. Adversarial training is then introduced to address unclear boundaries of diseases and pest entities and to improve the generalization ability of models in an effective manner. The context features are obtained by the bi-directional gated recurrent unit (BiGRU) neural network. Finally, the optimal tag sequence is obtained by conditional random fields (CRF) decoding. A focal loss function is introduced to optimize conditional random fields (CRF) and thus solve the problem of unbalanced label classification in the sequence. The experimental results show that the model's precision, recall, and F1 values on the crop diseases and pests corpus reached 89.23%, 90.90%, and 90.04%, respectively, demonstrating effectiveness at improving the accuracy of named entity recognition for Chinese crop diseases and pests. The named entity recognition model proposed in this study can provide a high-quality technical basis for downstream tasks such as crop diseases and pests knowledge graphs and question-answering systems.
Keyword ：
adversarial training adversarial training crop diseases and pests crop diseases and pests deep learning deep learning named entity recognition named entity recognition pre-training language model pre-training language model
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| GB/T 7714 | Liang, Jianqin , Li, Daichao , Lin, Yiting et al. Named Entity Recognition of Chinese Crop Diseases and Pests Based on RoBERTa-wwm with Adversarial Training [J]. | AGRONOMY-BASEL , 2023 , 13 (3) . |
| MLA | Liang, Jianqin et al. "Named Entity Recognition of Chinese Crop Diseases and Pests Based on RoBERTa-wwm with Adversarial Training" . | AGRONOMY-BASEL 13 . 3 (2023) . |
| APA | Liang, Jianqin , Li, Daichao , Lin, Yiting , Wu, Sheng , Huang, Zongcai . Named Entity Recognition of Chinese Crop Diseases and Pests Based on RoBERTa-wwm with Adversarial Training . | AGRONOMY-BASEL , 2023 , 13 (3) . |
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Analyzing the influencing factors of PM2.5 concentration, scenario simulations, and countermeasure research to address the problem of PM2.5 pollution in Guangdong Province is of great significance for governments at all levels for formulating relevant policies. In this study, the ChinaHighPM(2.5) dataset and economic and social statistics for Guangdong Province from 2010 to 2019 were selected, and a PM2.5 pollution management compliance path formulation method based on the multi-scenario simulation was proposed by combining the differences in city types and PM2.5 concentration prediction. Based on the prediction model of PM2.5 concentration constructed by the Ridge and SVM models and facing the PM2.5 pollution control target in 2025, the urban PM2.5 pollution control scenario considering the characteristics of urban development was constructed. According to the scenario simulation results of the PM2.5 prediction model, the PM2.5 pollution control path suitable for Guangdong Province during the 14th Five-Year Plan period was explored. The coupling coordination model was used to explore the spatial and temporal pattern evolution of PM2.5 pollution collaborative governance in various prefecture-level cities under the standard path, and the policy recommendations for PM2.5 pollution control during the 14th Five-Year Plan period are proposed. The results showed the following: 1 in the case of small samples, the model can provide effective simulation predictions for the study of urban pollutant management compliance pathways. 2 Under the scenario of PM2.5 management meeting the standard, in 2025, the annual average mass concentration of PM2.5 in all prefecture-level cities in Guangdong Province will be lower than 22 mu g/m(3), and the annual average concentration of PM2.5 in the whole province will drop from 25.91 mu g/m(3) to 21.04 mu g/m(3), which will fulfil the goal of reducing the annual average concentration of PM2.5 in the whole province to below 22 mu g/m(3), as set out in the 14th Five-Year Plan for the Ecological Environmental Protection of Guangdong Province. 3 Under the path of PM2.5 control and attainment, the regional coordination relationship among prefecture-level cities in Guangdong Province is gradually optimized, the number of intermediate-level coordinated cities will increase, and the overall spatial distribution pattern will be low in the middle and high in the surrounding area. Based on the characteristics of the four city types, it is recommended that a staggered development strategy be implemented to achieve synergy between economic development and environmental quality. Urban type I should focus on restructuring freight transportation to reduce urban pollutant emissions. City type II should focus on urban transportation and greening. For city type III, the focus should be on optimizing the industrial structure, adjusting the freight structure, and increasing the greening rate of the city. For city type IV, industrial upgrading, energy efficiency, freight structure, and management of industrial pollutant emissions should be strengthened.
Keyword ：
concentration prediction concentration prediction influencing factor influencing factor PM2.5 PM2.5 scenario simulation scenario simulation SVM SVM
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| GB/T 7714 | Fan, Kunkun , Li, Daichao , Li, Cong et al. Analysis of PM2.5 Synergistic Governance Path from a Socio-Economic Perspective: A Case Study of Guangdong Province [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2023 , 12 (8) . |
| MLA | Fan, Kunkun et al. "Analysis of PM2.5 Synergistic Governance Path from a Socio-Economic Perspective: A Case Study of Guangdong Province" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 12 . 8 (2023) . |
| APA | Fan, Kunkun , Li, Daichao , Li, Cong , Jin, Xinlei , Ding, Fei , Zeng, Zhan . Analysis of PM2.5 Synergistic Governance Path from a Socio-Economic Perspective: A Case Study of Guangdong Province . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2023 , 12 (8) . |
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推动流域管理由信息化向智慧化发展是保障流域高质量发展的关键，该文面向闽江流域治理能力和治理体系现代化需求，以改善闽江流域生态环境质量为核心，梳理闽江流域生态环境数字化治理目前存在的问题，并从流域感知监测、模拟、评估、决策，以及平台构建等方面提出优化路径建议，以期为构建数字孪生闽江、创新流域生态环境数字化治理模式提供参考。
Keyword ：
数字化治理 数字化治理 数字孪生 数字孪生 生态环境 生态环境 闽江流域 闽江流域
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| GB/T 7714 | 李代超 , 凡昆昆 , 吴升 . 闽江流域生态环境数字化模拟与治理体系实现路径研究 [J]. | 海峡科学 , 2023 , 4 (12) : 85-88 . |
| MLA | 李代超 et al. "闽江流域生态环境数字化模拟与治理体系实现路径研究" . | 海峡科学 4 . 12 (2023) : 85-88 . |
| APA | 李代超 , 凡昆昆 , 吴升 . 闽江流域生态环境数字化模拟与治理体系实现路径研究 . | 海峡科学 , 2023 , 4 (12) , 85-88 . |
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Evaluating typical rural characteristics reveals certain advantages of rural revitalization and is crucial for understanding rural disparities and promoting development. Field research and statistical data can reflect the spatial distribution of local resources and development models. However, due to cost limitations and statistical constraints, it is impossible to effectively compare and evaluate the characteristics of rural development at the long time series, large scale and fine granularity required for sustainable regeneration. This study proposes a web-based method for the extraction and evaluation of rural revitalization characteristics (WERRC). The BERT-BiLSTM-Attention model categorizes rural web texts according to five themes: industrial prosperity, ecological livability, rural civilization, effective governance, and prosperous life. The Term Frequency-Inverse Document Frequency (TF-IDF) algorithm extracts rural characteristics, and the relative advantages of these features are compared among 100 Chinese villages. WERRC extracts the typical characteristics, obtains the spatial distribution and relative advantage, and then ranks them according to the five themes. The relationship between national policy guidance and rural development is explored. The results support further exploration of differentiated, high-quality development modes that incorporate rural advantages into policy, adjust industrial structure, and optimise revitalization strategies at the rural scale.
Keyword ：
characteristic extraction characteristic extraction regional sustainable development regional sustainable development Rural revitalization Rural revitalization typical village characteristics typical village characteristics web text mining web text mining
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| GB/T 7714 | Fan, Kunkun , Li, Daichao , Wu, Haidong et al. Extracting and evaluating typical characteristics of rural revitalization using web text mining [J]. | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE , 2023 , 38 (2) : 297-321 . |
| MLA | Fan, Kunkun et al. "Extracting and evaluating typical characteristics of rural revitalization using web text mining" . | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 38 . 2 (2023) : 297-321 . |
| APA | Fan, Kunkun , Li, Daichao , Wu, Haidong , Wang, Yingjie , Yu, Hu , Zeng, Zhan . Extracting and evaluating typical characteristics of rural revitalization using web text mining . | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE , 2023 , 38 (2) , 297-321 . |
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