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学者姓名：王琳
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Abstract ：
Urbanization and global warming have led to more frequent extreme heat events, highlighting the importance of Park Cooling Islands. This study analyzes the cooling effect (PCE) of 50 urban parks in Fuzhou to explore the relationship between park area and cooling effect. The results indicate that there is no simple positive correlation between park area and cooling effect. Specifically, while larger parks may have greater cooling potential, a larger area does not necessarily lead to better cooling effects. The optimal park area for cooling effect ranges from 0.594 to 56 hm2; beyond this range, an increase in park area does not significantly enhance the cooling effect. A low proportion of impervious surfaces, a high proportion of water bodies and vegetation, as well as complex patch patterns can enhance PCE, while excessive edge density and landscape fragmentation can weaken PCE. Based on importance analysis, the external morphological characteristics and internal patch characteristics of parks significantly influence cooling effects. Furthermore, the cooling effect of parks is jointly determined by internal and external conditions, with internal conditions having a more significant impact. Therefore, merely pursuing a "large" park area does not guarantee a "good" cooling effect; instead, greater emphasis should be placed on optimizing park design and layout, simplifying boundary shapes, reducing impervious surface ratios, and increasing vegetation diversity to maximize cooling effects.
Keyword ：
Landscape patch Landscape patch Park cooling effect Park cooling effect Threshold value of efficiency Threshold value of efficiency Urban heat Island Urban heat Island Urban park size Urban park size
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| GB/T 7714 | Wang, Lin , Wang, Wenjia , Tang, Fei et al. Optimizing urban park cooling effects requires balancing morphological design and landscape structure [J]. | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
| MLA | Wang, Lin et al. "Optimizing urban park cooling effects requires balancing morphological design and landscape structure" . | SCIENTIFIC REPORTS 15 . 1 (2025) . |
| APA | Wang, Lin , Wang, Wenjia , Tang, Fei , Xu, Hanqiu . Optimizing urban park cooling effects requires balancing morphological design and landscape structure . | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
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The nighttime economy is instrumental in driving economic growth, particularly in the post-pandemic era. Nighttime Light (NTL) data is a key source in nighttime economy remote sensing study, with its angular effect directly affecting result accuracy. This study compares the accuracy of identifying nighttime economic agglomerations (NEAs) in Shanghai using Black Marble NTL and POI data at three observation angles: near-nadir, off-nadir, and all-angle. The results indicate that under all three angles, landmark NEAs can be identified fairly well. However, near-nadir demonstrates superior sample library identification accuracy and Theil index performance compared to all-angle and off-nadir. The study reveals that near-nadir observations offer higher accuracy and better suppression of "pseudo-accuracy units", making them more suitable for studying the nighttime economy. Furthermore, the study analyzes the spatial distribution characteristics of NEAs in Shanghai and finds a distinct "center-periphery" development pattern, suggesting imbalances in overall development. The presence of buildings with scattered high-low distribution and complex urban structures contributes to the variations in NEA identification under different satellite-observed angles. This study provides valuable insights into selecting the appropriate satellite-observed angle for studying NEAs using NTL data. It also explores the potential application of Black Marble NTL data products in socioeconomic remote sensing.
Keyword ：
Angular effects Angular effects Black marble nighttime lights product suite Black marble nighttime lights product suite Nighttime economy agglomeration (NEA) Nighttime economy agglomeration (NEA) Shanghai city Shanghai city Socioeconomic remote sensing Socioeconomic remote sensing
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| GB/T 7714 | Ou, Caihong , Tang, Fei , Deng, Xiaohui et al. The Impact of Angular Effects on Nighttime Economy Observations: Determining the Optimal Observation Angle of Nighttime Light Remote Sensing [J]. | APPLIED SPATIAL ANALYSIS AND POLICY , 2025 , 18 (1) . |
| MLA | Ou, Caihong et al. "The Impact of Angular Effects on Nighttime Economy Observations: Determining the Optimal Observation Angle of Nighttime Light Remote Sensing" . | APPLIED SPATIAL ANALYSIS AND POLICY 18 . 1 (2025) . |
| APA | Ou, Caihong , Tang, Fei , Deng, Xiaohui , Wang, Lin . The Impact of Angular Effects on Nighttime Economy Observations: Determining the Optimal Observation Angle of Nighttime Light Remote Sensing . | APPLIED SPATIAL ANALYSIS AND POLICY , 2025 , 18 (1) . |
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As a geological disaster widely distributed in the southern regions of China, rainfall-induced shallow landslides pose a significant threat to affected areas. Timely detection of landslides is crucial in the effective response to such disasters. However, landslide detection faces adverse impacts from various factors, such as insufficient sample data, complex model structures, and limitations in detection accuracy during the actual detection process. In this study, high-quality image samples were collected from multiple landslide disaster areas in southern China, and a rainfall-induced shallow landslide sample database was constructed in the region. Based on this, a lightweight attention-guided YOLO model (LA-YOLO) was proposed to improve the detection performance of YOLO model for rainfall-induced shallow landslides. First, CG block is introduced to enhance the C2f module, enriching the feature representation capability through multiscale feature fusion and reducing the model's parameters and computational complexity. Second, the SimAM attention module is used to focus on the target regions, improving feature extraction effectiveness. Experimental results show that the model parameters of LA-YOLO were reduced by approximately 30%, with precision, recall, and mean average precision (mAP) on the landslide sample dataset increasing by 2.6%, 0.7%, and 2.2%, respectively. While ensuring model detection performance, the model structure was significantly optimized, achieving both lightweight and accuracy goals, confirming the model's superiority in monitoring rainfall-induced shallow landslide disasters.
Keyword ：
Accuracy Accuracy Attention mechanism Attention mechanism Biological system modeling Biological system modeling context guidance module context guidance module Data models Data models Disasters Disasters Feature extraction Feature extraction landslide detection landslide detection Neurons Neurons Rain Rain rainfall-induced shallow landslide rainfall-induced shallow landslide Terrain factors Terrain factors Training Training YOLO YOLO YOLO v8 YOLO v8
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| GB/T 7714 | Wang, Lin , Lei, Henggang , Jian, Wenbin et al. Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides [J]. | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , 2025 , 22 . |
| MLA | Wang, Lin et al. "Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides" . | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 22 (2025) . |
| APA | Wang, Lin , Lei, Henggang , Jian, Wenbin , Wang, Wenjia , Wang, Hao , Wei, Nan . Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides . | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , 2025 , 22 . |
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Human activity is an important factor affecting regional thermal environment change, and it is of great significance to explore the response relationship between human activity intensity (HAI) and land surface temperature (LST) for regional sustainable development. Based on MOD11A1 ground temperature data and combined with multi-source data such as land use (LU),population density (PD),night light (NTL),grassland use intensity (GUI) and existing biomass (EB),this paper proposed a method suitable for measuring the HAI in Three-River Source Region,and analyzed the spatio-temporal variation characteristics of HAI and LST in Three-River Source Region from 2000 to 2020. Comprehensive use of spatial autocorrelation and spatial autoregressive model to explore the spatial relationship between them. The results show that: (1) According to the regional ecological characteristics of Three-River Source Region, the HAI index model constructed in this paper can effectively identify the spatial distribution of HAI in Three-River Source Region,and can better distinguish the spatial differences of HAI in Three-River Source Region;(2) The average value of HAI in Three-River Source Region in the past 20 years was 0.285,and the overall intensity was low.The spatial distribution characteristics of HAI and LST were both high in the east and low in the west,and the two were significantly positively correlated.(3) LU,PD,GUI and EB in HAI index significantly affect the change of LST in Three-River Source Region,while there is a phenomenon of ' warming lag' between NTL and LST,and its response to LST is not obvious.In general,in order to slow down the further rise of LST in this region and alleviate the challenges faced by the regional ecological security system,it is necessary to limit the spread of high human activity areas. © 2025 Editorial Board of Journal of Basic Science and Engineering. All rights reserved.
Keyword ：
Population statistics Population statistics
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| GB/T 7714 | Liu, Zhicai , Zheng, Weiwen , Long, Zihan et al. Modeling of Human Activity Intensity Index and Its Spatial Relationship with Land Surface Temperature in Three-River Source Region [J]. | Journal of Basic Science and Engineering , 2025 , 33 (2) : 349-361 . |
| MLA | Liu, Zhicai et al. "Modeling of Human Activity Intensity Index and Its Spatial Relationship with Land Surface Temperature in Three-River Source Region" . | Journal of Basic Science and Engineering 33 . 2 (2025) : 349-361 . |
| APA | Liu, Zhicai , Zheng, Weiwen , Long, Zihan , Wang, Lin , Xu, Zhanghua . Modeling of Human Activity Intensity Index and Its Spatial Relationship with Land Surface Temperature in Three-River Source Region . | Journal of Basic Science and Engineering , 2025 , 33 (2) , 349-361 . |
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The Russia-Ukraine conflict has persisted for over a year, posing challenges in assessing and verifying the extent of damage through on-site investigations. Nighttime light (NTL) remote sensing, an emerging approach for studying regional conflicts, can complement traditional methods. This article employs National Aeronautics and Space Administration's Black Marble products to reveal the response characteristics of NTL intensity at national and state scales during the first anniversary of the conflict (January 2022 to February 2023) in Ukraine. The article used the NTL ratio index to assess the relative intensity of NTL and month-on-month change rate, nighttime light change rate index (NLCRI), and the rate (R value) of linear regression analysis to depict spatiotemporal dynamics. In addition, Theil-Sen median trend analysis and Mann-Kendall tests were employed to analyze intensity trends, with a "dual-threshold method" to reduce extensive noise interference. The results showed: At the national scale, the conflict resulted in an 84.0% decrease in NTL across Ukraine. At the state scale, the most severe NTL decline occurred near the southwestern border and eastern conflict zone under Ukrainian government control, witnessing over 80% decline rates. The correlation of decreases in NLCRI and R values with population displacement, infrastructure damage, or curfew measures demonstrated that the concentration of refugees and electricity facility restoration led to increased NLCRI and R values. Overall, NTL reflects critical moments at the national scale and provides insights into military intentions and humanitarian measures at the state scale. Therefore, NTL can effectively serve as a tool for observation and assessment in military conflicts.
Keyword ：
Black Marble nighttime lights (NTLs) product suite Black Marble nighttime lights (NTLs) product suite multiscale analysis multiscale analysis Russia-Ukraine conflict Russia-Ukraine conflict spatiotemporal dynamics spatiotemporal dynamics VNP46A3 product VNP46A3 product
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| GB/T 7714 | Wang, Lin , Lei, Henggang , Xu, Hanqiu . Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia-Ukraine Conflict [J]. | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2024 , 17 : 4084-4099 . |
| MLA | Wang, Lin et al. "Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia-Ukraine Conflict" . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17 (2024) : 4084-4099 . |
| APA | Wang, Lin , Lei, Henggang , Xu, Hanqiu . Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia-Ukraine Conflict . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2024 , 17 , 4084-4099 . |
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基于土地利用数据和景观生态风险评价模型,分析2000-2020年长株潭都市圈景观生态风险时空演变特征,结合PLUS模型科学预测自然发展情景和生态保护情景下2030年长株潭都市圈的景观生态风险空间分布格局.结果表明:①2000-2020年长株潭都市圈景观生态风险呈现北高南低、西高东低的空间分布特征,较低和中等生态风险区域总面积占比大于60％,生态风险加剧区域面积不到生态风险降低区域面积的1％,整体表现出高等级生态风险区向低等级生态风险区转移的特征;②研究区景观生态风险表现出较强的空间集聚特征,高—高集聚区主要分布在宁乡市、望城区、渌口区、雨花区和长沙县,低—低集聚区主要分布在研究区边界;③相比自然发展情景,生态保护情景下生态用地减少速率变缓,有助于缓解研究区生态风险,有利于构建和谐有序的生态安全格局.
Keyword ：
PLUS模型 PLUS模型 多情景模拟 多情景模拟 景观生态风险 景观生态风险 长株潭都市圈 长株潭都市圈
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| GB/T 7714 | 邓晓辉 , 王琳 , 欧彩虹 et al. 基于PLUS模型的长株潭都市圈景观生态风险动态分析 [J]. | 地理与地理信息科学 , 2024 , 40 (1) : 47-54,98 . |
| MLA | 邓晓辉 et al. "基于PLUS模型的长株潭都市圈景观生态风险动态分析" . | 地理与地理信息科学 40 . 1 (2024) : 47-54,98 . |
| APA | 邓晓辉 , 王琳 , 欧彩虹 , 王文佳 . 基于PLUS模型的长株潭都市圈景观生态风险动态分析 . | 地理与地理信息科学 , 2024 , 40 (1) , 47-54,98 . |
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作为增加就业、提振消费及带动区域发展的城市消费"新蓝海",夜间经济在"后疫情时代"逐渐成为研究热点."夜间经济集聚中心"是夜间经济发展的核心和基础,国内外鲜有研究,它作为社会经济要素,具有非均匀对称和"灰色聚集"的特点,因此无法简单套用传统地理集聚中心的识别方法.研究从夜间经济的集聚机理出发,基于"点—轴系统"理论,提出了一种夜间经济集聚中心的识别提取方法,并利用广义对称图谱解构上海市中心城区夜间经济集聚中心的空间格局及其分异机理.首次为快速准确地识别夜间经济集聚中心,科学地挖掘其空间分布特点提供了系统的方法参考,为推动夜间经济的繁荣和可持续发展提供了决策支持.结果显示:在上海市中心城区范围内,共提取了 12个一级夜间经济集聚中心,26个二级夜间经济集聚区,夜间经济平均活力值分别为0.49和0.24.研究表明:①该方法能快速识别和提取夜间经济集聚中心.②上海夜间经济集聚中心呈"中心—外围"空间分布格局,交通导向性强;③基础设施完善程度和距市中心距离,是上海夜间经济空间集聚分异的主要驱动因子.④集聚中心的"色对称"空间格局,表明上海夜经济处于一种合理、可持续的发展阶段;未来规划中,可沿地铁二号线东西扩展并内部填充,亦可将集聚对称中心连接线作为发展轴,以"集聚区"的形式提升夜经济集聚效应.
Keyword ：
地理探测器 地理探测器 夜间经济发展规划 夜间经济发展规划 夜间经济集聚中心 夜间经济集聚中心 广义对称图谱 广义对称图谱 "点-轴系统"理论 "点-轴系统"理论
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| GB/T 7714 | 王琳 , 欧彩虹 , 钟泓文 et al. "广义对称"视角下上海夜间经济集聚中心识别方法与空间分异机理 [J]. | 遥感技术与应用 , 2024 , 39 (1) : 209-221 . |
| MLA | 王琳 et al. ""广义对称"视角下上海夜间经济集聚中心识别方法与空间分异机理" . | 遥感技术与应用 39 . 1 (2024) : 209-221 . |
| APA | 王琳 , 欧彩虹 , 钟泓文 , 徐涵秋 . "广义对称"视角下上海夜间经济集聚中心识别方法与空间分异机理 . | 遥感技术与应用 , 2024 , 39 (1) , 209-221 . |
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选取我国大豆主产区黑龙江省为研究区,采用生命周期评价(LCA)法核算该地区2011-2020年大豆生产的碳足迹,分析其时空分布特征,利用灰色关联分析法分析全省各地级市(地区)大豆生产碳足迹的影响因素,确定其碳排放的主要来源,提出大豆生产的生态优化方案.结果表明:2011-2020年黑龙江省大豆生产碳足迹平均值为0.337 kg/kg(以CO2当量计),整体呈现反复波动、"北多南少"的格局;在所选的9个黑龙江省大豆生产碳足迹影响因素中,农药、种子、柴油3个因素的贡献度最大.
Keyword ：
大豆生产 大豆生产 时空分布 时空分布 生命周期评价 生命周期评价 生态优化 生态优化 碳足迹 碳足迹 黑龙江省 黑龙江省
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| GB/T 7714 | 陈晗奕 , 陈一灵 , 洪志坤 et al. 黑龙江省大豆生产的碳足迹时空分布特征及生态优化研究 [J]. | 环境监测管理与技术 , 2024 , 36 (3) : 21-26 . |
| MLA | 陈晗奕 et al. "黑龙江省大豆生产的碳足迹时空分布特征及生态优化研究" . | 环境监测管理与技术 36 . 3 (2024) : 21-26 . |
| APA | 陈晗奕 , 陈一灵 , 洪志坤 , 游璐萍 , 郑先鑫 , 王琳 et al. 黑龙江省大豆生产的碳足迹时空分布特征及生态优化研究 . | 环境监测管理与技术 , 2024 , 36 (3) , 21-26 . |
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针对机场出租车"待客-返程"决策模式,基于机会成本视角构建一种决策支持模型.综合考虑影响出租车司机决策的相关因素,构建旅客搭乘出租车的意愿函数和出租车司机机会成本的线性对数回归模型;定义"选择决策因子",建立"待客-返程"决策支持模型,分析研究不同季节、时段的最优解;用南京禄口国际机场的数据进行模型训练,得到该机场出租车司机决策方案;采用敏感性分析法定量分析模型对决策因子的依赖性,以验证模型性能.实验结果表明,该模型决策方案可靠,对决策因子变化敏感,能有效提高机场的客流集散效率.
Keyword ：
二分类逻辑回归模型 二分类逻辑回归模型 敏感性分析 敏感性分析 机会成本 机会成本 机场出租车 机场出租车 线性对数回归 线性对数回归
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| GB/T 7714 | 林瑶 , 王琳 , 徐宗煌 et al. 机场出租车"待客-返程"决策支持模型——以南京禄口国际机场为例 [J]. | 计算机应用与软件 , 2023 , 40 (8) : 24-31,79 . |
| MLA | 林瑶 et al. "机场出租车"待客-返程"决策支持模型——以南京禄口国际机场为例" . | 计算机应用与软件 40 . 8 (2023) : 24-31,79 . |
| APA | 林瑶 , 王琳 , 徐宗煌 , 王武林 . 机场出租车"待客-返程"决策支持模型——以南京禄口国际机场为例 . | 计算机应用与软件 , 2023 , 40 (8) , 24-31,79 . |
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Leaf water content (LWC) is very important in the growth of vegetation. LWC and leaf spectra change when the leaves are under pest stress; exploring the change mechanism between LWC, leaf spectra, and pest stress can lay the foundation for pest detection. In this study, we measured the LWC and leaf spectra of moso bamboo leaves under different damage levels, used the Pearson-Lasso method to screen the features, and established a multiple linear regression (MLR) and random forest regression (RFR) model to estimate the LWC. We analyzed the relationship between LWC and spectral features of moso bamboo leaves under Pantana phyllostachysae Chao (PPC) stress and their changes. The results showed that: (1) the LWC showed a decreasing trend as the pest level increased. (2) The spectra changed substantially when the leaves were under pest stress. (3) The number and significance of response features associated with the LWC were diverse under different damage levels. (4) The estimation of LWC under different damage levels differed significantly. LWC, leaf spectra, response features, and the model estimation effect were diverse under different damage levels. The correlation between LWC and features was higher for healthy leaves than for damaged and off-year leaves. The two models were more effective in estimating the LWC of healthy leaves but less effective for damaged and off-year leaves. This study provides theoretical support for the prediction of PPC stress and lays the foundation for remote sensing monitoring.
Keyword ：
changing relationships changing relationships moso bamboo moso bamboo Pantana phyllostachysae Chao Pantana phyllostachysae Chao Pearson-Lasso Pearson-Lasso spectral features spectral features water content water content
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| GB/T 7714 | Xu, Zhanghua , Li, Bin , Yu, Hui et al. Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress [J]. | FORESTS , 2023 , 14 (4) . |
| MLA | Xu, Zhanghua et al. "Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress" . | FORESTS 14 . 4 (2023) . |
| APA | Xu, Zhanghua , Li, Bin , Yu, Hui , Zhang, Huafeng , Guo, Xiaoyu , Li, Zenglu et al. Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress . | FORESTS , 2023 , 14 (4) . |
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