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学者姓名：黄河
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The imbalance between the supply and demand of urban ecosystem services significantly impacts land resource utilization and residents' quality of life. This study innovatively examines the spatio-temporal evolution of these services at the block scale in Xiamen, China, from 2012 to 2022, addressing a gap in current research that often focuses on larger scales like watersheds. Using multi-source data, six ecosystem services, including water conservation, carbon sequestration, and habitat quality, were assessed, revealing notable deficiencies. The study also employs the GMOP-PLUS model to simulate land use and ecosystem service changes under three scenarios-Natural development (ND), Economic development (ED), and Ecological low-carbon development (EL)- projected to 2027. Results highlight a significant spatial imbalance with a "North Supply, South Demand" pattern, particularly in southern urban areas. While all scenarios show a decline in green space and ecosystem services, the economic growth scenario improves economic benefits, and the ecological conservation scenario enhances low-carbon and ecological services. This research provides novel insights and optimization strategies for urban land use planning, aiming to enhance ecosystem services and support sustainable urban development.
Keyword ：
Ecosystem service Ecosystem service Multi-scenario simulation Multi-scenario simulation Optimization strategies Optimization strategies Supply-demand bundles Supply-demand bundles Xiamen Xiamen
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| GB/T 7714 | Gao, Yaling , Fu, Danling , Huang, He et al. Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China [J]. | ECOLOGICAL INDICATORS , 2025 , 172 . |
| MLA | Gao, Yaling et al. "Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China" . | ECOLOGICAL INDICATORS 172 (2025) . |
| APA | Gao, Yaling , Fu, Danling , Huang, He , Jiang, Jinwen , Liu, Qunyue , Zhu, Liying et al. Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China . | ECOLOGICAL INDICATORS , 2025 , 172 . |
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生成式人工智能技术的兴起，为风景园林教育个性化人才培养提供了新契机。当前，风景园林教育尚处于教学资源、过程与评价数字化的初阶探索阶段，且大多基于OBE成果导向教育等底线达成度理念，构建相对“标准化”导向的人才培养模式。响应“AI+教育”变革的风景园林教育研究，很有必要向数智化、个性化方向加强探索。因此，亟待开展生成式人工智能技术下风景园林教育个性化人才培养的教改研究。基于多元智能理论，面向风景园林教育教学，厘清数智化、个性化教改研究新进展的经验与启示。在此基础上，分三个层面、6个维度进行数智化、个性化导向下风景园林教育转型的问题解析，并从探明生成式人工智能(Generative Artificial Intelligence，GenAI)技术驱动风景园林教育教学数智化转型的机制与路径、构建GenAI技术下风景园林教育个性化人才培养新模式两个方面、8个小点提出了系统性的应对思路。以此为指导，选取福建农林大学风景园林国家级一流本科专业建设点为对象，从打造“多元智能+”培养方案、推动“个性化+”人才培养、构建“GenAI+”教育教学体系、建设高质量教学保障体系4个方面，开展GenAI技术下风景园林教育个性化人才培养的初步实践与探索。以期探索“四新”建设、数字赋能等时代背景下风景园林教育高质量发展新路径，也为相关学科专业提供经验与借鉴。
Keyword ：
个性化人才培养 个性化人才培养 多元智能理论 多元智能理论 教学改革 教学改革 数智化转型 数智化转型 生成式人工智能 生成式人工智能 风景园林教育 风景园林教育
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| GB/T 7714 | 任维 , 张雪葳 , 李霄鹤 et al. 生成式人工智能技术下风景园林教育个性化人才培养研究 [J]. | 园林 , 2025 , 42 (10) : 4-11,75 . |
| MLA | 任维 et al. "生成式人工智能技术下风景园林教育个性化人才培养研究" . | 园林 42 . 10 (2025) : 4-11,75 . |
| APA | 任维 , 张雪葳 , 李霄鹤 , 黄河 , 林立 . 生成式人工智能技术下风景园林教育个性化人才培养研究 . | 园林 , 2025 , 42 (10) , 4-11,75 . |
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随着信息技术与教育数字化转型的持续推进，风景园林专业人才培养面临更高要求。基于“数智化+OBE”理念，以福建农林大学风景园林国家一流专业为例，探索风景园林专业人才培养体系的创新与重构。通过引入成果导向教育(Outcome-Based Education，OBE)理念，结合数智化技术，构建以培养目标为核心、课程体系为支撑、实践教学为抓手的多维育人模式。“数智化+OBE”理念能够有效整合数智化技术与专业教学，实现教育活动的反向设计，确保教育质量与市场需求同步。福建农林大学通过优化课程体系、提升实践教学、强化跨学科融合，显著提升学生的专业技能、创新能力和实践水平。研究成果为新时代风景园林专业人才培养提供了理论依据和实践参考，对其他高校相关专业的教学改革具有重要借鉴意义。
Keyword ：
人才培养 人才培养 成果导向教育 成果导向教育 数智化 数智化 虚拟仿真 虚拟仿真 风景园林 风景园林
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| GB/T 7714 | 黄河 , 朱里莹 , 李霄鹤 et al. 基于“数智化+OBE”理念的风景园林专业人才培养体系重构——以福建农林大学为例 [J]. | 园林 , 2025 , 42 (10) : 27-32 . |
| MLA | 黄河 et al. "基于“数智化+OBE”理念的风景园林专业人才培养体系重构——以福建农林大学为例" . | 园林 42 . 10 (2025) : 27-32 . |
| APA | 黄河 , 朱里莹 , 李霄鹤 , 林立 , 郑智聪 , 高雅玲 et al. 基于“数智化+OBE”理念的风景园林专业人才培养体系重构——以福建农林大学为例 . | 园林 , 2025 , 42 (10) , 27-32 . |
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建筑屋顶农业可将未被充分利用的屋顶空间转变为生产性资源，以提升城市食物系统的韧性，具备多方面综合效益。然而，当前国内从全生命周期视角评估屋顶农业成本-效益的研究尚不多见。通过建立全生命周期的成本-效益模型，系统评估屋顶农业效益，并以福州某科技有限公司屋顶农业基地为案例，以量化各阶段的成本投入和效益回收。结果表明：在全生命周期范围内，福州某科技有限公司屋顶农业基地总成本投入为178.317万元，总效益回收达214.41万元，呈现出显著的综合效益。这表明屋顶农业不仅能够在经济层面实现回报，也产生了积极的社会效益和环境效益，为城市环境提供了韧性发展路径。
Keyword ：
全生命周期 全生命周期 屋顶农业 屋顶农业 成本-效益评估 成本-效益评估 综合效益 综合效益
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| GB/T 7714 | 林芷芊 , 陈韬羽 , 黄河 et al. 基于全生命周期成本-效益模型的屋顶农业综合效益评估 [J]. | 建筑节能(中英文) , 2025 , 53 (05) : 120-126 . |
| MLA | 林芷芊 et al. "基于全生命周期成本-效益模型的屋顶农业综合效益评估" . | 建筑节能(中英文) 53 . 05 (2025) : 120-126 . |
| APA | 林芷芊 , 陈韬羽 , 黄河 , 肖燕芝 , 刘群阅 . 基于全生命周期成本-效益模型的屋顶农业综合效益评估 . | 建筑节能(中英文) , 2025 , 53 (05) , 120-126 . |
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The Urban Heat Island (UHI) effect is a major environmental challenge in global urbanization. As urbanization progresses, the UHI effect in individual cities has expanded regionally, forming Regional Heat Islands (RHI). However, strategies for mitigating RHI and enhancing cold island effects remain underdeveloped. This study focuses on the Xi'an Metropolitan Area, proposing an integrated management framework for cold and heat island networks to alleviate RHI effects. By retrieving land surface temperature (LST) from remote sensing data and combining it with Morphological Spatial Pattern Analysis (MSPA) and landscape connectivity analysis, the study constructs connectivity networks for cold and heat islands, optimizing key nodes and corridors using circuit theory. Results show that cold islands are concentrated in the Qinling Mountains and northern highlands, while heat islands are located in Xi'an's main urban area and suburbs, displaying a pattern of "alternating peripheral cold islands and central heat islands." The partial overlap between cold and heat island corridors and nodes suggests these areas should be prioritized for development. Network analysis identified nodes for protection, restoration, and degradation. The Qinling Mountains and northern highlands serve as core areas for urban cold island functions, suggesting the construction of a mountainous cold island network. Central river systems play dual roles in cooling and mitigating heat risks. The proposed integrated strategy offers a theoretical framework and practical approach for RHI management, enhancing urban cooling effects and providing a model for regional heat island management in similar cities, promoting sustainable development and optimized urban planning.
Keyword ：
Cool and Heat Island Networks Cool and Heat Island Networks Landscape Connectivity Analysis Landscape Connectivity Analysis Morphological Spatial Pattern Analysis Morphological Spatial Pattern Analysis Sustainable Urban Development Sustainable Urban Development Urban Heat Island Mitigation Urban Heat Island Mitigation
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| GB/T 7714 | Liu, Qunyue , Zhang, Huimin , Peng, Jiaxin et al. Mitigation strategies for regional heat island effects: integrated network construction of cold and heat islands [J]. | ECOLOGICAL INDICATORS , 2025 , 176 . |
| MLA | Liu, Qunyue et al. "Mitigation strategies for regional heat island effects: integrated network construction of cold and heat islands" . | ECOLOGICAL INDICATORS 176 (2025) . |
| APA | Liu, Qunyue , Zhang, Huimin , Peng, Jiaxin , Li, Qi , Liu, Ting , Hu, Feng et al. Mitigation strategies for regional heat island effects: integrated network construction of cold and heat islands . | ECOLOGICAL INDICATORS , 2025 , 176 . |
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Rooftop agrivoltaics (RAV), an innovative approach to urban space utilization, provides integrated solutions to challenges such as water scarcity, vegetable security, and energy supply, while enhancing urban resilience. However, research on the sustainability and resilience of RAV remains limited, especially regarding policyoriented scenario validation. This study develops a Water-Food-Energy-Carbon-Cost model to quantify the sustainability and resilience of RAV systems. Geographic information systems identified rooftop resources, the Denitrification-Decomposition model simulated lettuce yields, PVWatts estimated power generation, and multiscenario analysis assessed sustainability and resilience. Fuzhou was used as a case study, and lettuce was selected as the representative vegetable. The results indicate that the available rooftop area for RAV systems is about 32.61 km2. Under the Critical Target Scenario (CTS), RAV produces 4.46 x 108 kg of lettuce and 1.17 x 109 kWh of electricity each year, ensuring 76.04 % lettuce security and 13.72 % energy resilience, while also harvesting 1.01 x 107 m3 of rainwater and reducing 3.05 x 106 t of COQ emissions annually. Combined analysis of the 2025 construction target and 2030 multi-scenario simulations reveals that the "stable migration and stable fertility" population pathway and the "stated policies" energy transition scenario (SMSF-STEPS) achieves the highest sustainability and resilience, with a composite score of 0.506. This study offers a scientific basis for evaluating RAV sustainability and resilience, supporting their development as a strategy for advancing urban sustainability.
Keyword ：
Policy scenario Policy scenario Rooftop agrivoltaics Rooftop agrivoltaics Sustainable development Sustainable development Urban resilience Urban resilience Water-Food-Energy nexus Water-Food-Energy nexus
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| GB/T 7714 | Zhang, Ni , Ye, Zubin , Guo, Weichen et al. Evaluation of the sustainability and resilience of rooftop agrivoltaics based on the WFE-C-Cost model [J]. | SUSTAINABLE CITIES AND SOCIETY , 2025 , 134 . |
| MLA | Zhang, Ni et al. "Evaluation of the sustainability and resilience of rooftop agrivoltaics based on the WFE-C-Cost model" . | SUSTAINABLE CITIES AND SOCIETY 134 (2025) . |
| APA | Zhang, Ni , Ye, Zubin , Guo, Weichen , Le, Jing , Huang, Shuqi , Chen, Taoyu et al. Evaluation of the sustainability and resilience of rooftop agrivoltaics based on the WFE-C-Cost model . | SUSTAINABLE CITIES AND SOCIETY , 2025 , 134 . |
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“新工科”的提出，掀起了一轮高等教育的“质量革命”，而构建动态、循环控制的本科专业高质量教学保障体系是应对不同时代、不同社会需求下稳步提升高校专业教学质量的教学保障。文章以福建农林大学风景园林一流本科专业为例，首先分析了PDCA循环理论和OBE理论运用于本科高质量教学保障体系构建的思路；其次融合PDCA理论的计划（Plan）、执行（Do）、检查（Check）和处理（Action）四个环节，构建风景园林一流本科专业高质量教学保障体系框架；最后重点从培养方案优化、教师团队教学能力提升、健全教学监管和整改制度等方面提出了教改措施。
Keyword ：
PDCA理论 PDCA理论 改革措施 改革措施 本科专业高质量教学保障体系 本科专业高质量教学保障体系 风景园林 风景园林
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| GB/T 7714 | 李霄鹤 , 朱里莹 , 黄河 et al. “新工科”背景下基于PDCA和OBE的风景园林一流本科专业高质量教学保障体系建设 [J]. | 安徽建筑 , 2024 , 31 (10) : 111-112,123 . |
| MLA | 李霄鹤 et al. "“新工科”背景下基于PDCA和OBE的风景园林一流本科专业高质量教学保障体系建设" . | 安徽建筑 31 . 10 (2024) : 111-112,123 . |
| APA | 李霄鹤 , 朱里莹 , 黄河 , 李房英 , 任维 . “新工科”背景下基于PDCA和OBE的风景园林一流本科专业高质量教学保障体系建设 . | 安徽建筑 , 2024 , 31 (10) , 111-112,123 . |
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As urbanization progresses rapidly, cities encounter significant environmental and energy challenges. Photovoltaic-Green Roof (PV-GR) technology offers an innovative strategy with the potential to alleviate urban carbon emissions and resource scarcity issues. However, the carbon reduction potential of PV-GR technology remains unclear. Hence, this study aims to comprehensively assess the carbon reduction potential of PV-GR. This is achieved by integrating Geographic Information Systems (GIS), lifecycle assessment, the DenitrificationDecomposition Model (DNDC), and solar simulation. Using Fuzhou City as a case study, the research indicates: (1) Fuzhou has approximately 72.9 km2 of rooftops suitable for PV-GR development, with an annual biomass production from herbaceous plants estimated at around 2.958 x 107 kg. The annual electricity production under the baseline scenario reaches 9,678 GWh, satisfying about 17 % of Fuzhou's annual electricity demand. Moreover, in an optimistic scenario, electricity generation rises to 10,176 GWh, and even in a pessimistic scenario, it could achieve 9,471 GWh. (2) In the baseline scenario, Fuzhou's PV-GR annual carbon reduction is estimated at 6.678 x 106 t CO2, potentially offsetting about 11.14 % of the city's annual carbon emissions. In an optimistic scenario, this reduction increases to 7.022 x 106 t CO2, and even in a pessimistic scenario, the reduction remains significant at 6.535 x 106 t CO2. (3) Over a 30-year lifecycle, the carbon emissions from PV-GR are projected to total 3.092 x 107 t CO2, accounting for 51.34 % of Fuzhou's annual emissions. In an ideal baseline scenario, the net carbon reduction over the lifecycle of PV-GR could total 1.703x108 t CO2, effectively offsetting 282.76 % of Fuzhou's annual carbon emissions. Additionally, scenario simulations suggest that by 2030, potential electricity generation from PV-GR could increase to between 10,463 GWh and 10,901 GWh, due to changes in power structure and urban expansion. Overall, this study demonstrates that PV-GR holds considerable potential for carbon reduction.
Keyword ：
Carbon emission reduction Carbon emission reduction Denitrification-Decomposition Model Denitrification-Decomposition Model Geographic information system Geographic information system Photovoltaic-Green Roof Photovoltaic-Green Roof Potential Assessment Potential Assessment Scenario Simulation Scenario Simulation
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| GB/T 7714 | Chen, Taoyu , Ye, Zubin , Jiang, Kunneng et al. Green energy and rooftop innovation: Unlocking the carbon reduction potential of photovoltaic-green roofs [J]. | ENERGY AND BUILDINGS , 2024 , 321 . |
| MLA | Chen, Taoyu et al. "Green energy and rooftop innovation: Unlocking the carbon reduction potential of photovoltaic-green roofs" . | ENERGY AND BUILDINGS 321 (2024) . |
| APA | Chen, Taoyu , Ye, Zubin , Jiang, Kunneng , Zhang, Ni , Lin, Zhiqian , Liu, Qunyue et al. Green energy and rooftop innovation: Unlocking the carbon reduction potential of photovoltaic-green roofs . | ENERGY AND BUILDINGS , 2024 , 321 . |
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Green infrastructure networks enhance the protection and improvement of urban ecological environments, augment the efficiency and quality of ecosystem services, and furnish residents with healthier and more comfortable living conditions. Although previous research has investigated the construction or optimization methods of green infrastructure networks, these studies have been relatively isolated and lacking in case studies for mountainous cities. In the development of green infrastructure, mountainous cities must specifically consider the impact of terrain on network construction. Taking Fuzhou, a mountainous city in China, as an example, this study constructs and optimizes the green infrastructure network by employing morphological spatial pattern analysis, connectivity analysis, the Minimum Cumulative Resistance model, and circuit theory. These methodologies increase the connectivity of the Green Infrastructure within the study area, thereby promoting the health of the local ecosystem and creating conducive circumstances for the city's sustainable development. The findings reveal that: (1) Green infrastructure in Fuzhou takes up 5366.38 ha, constituting 21.76% of the study area, primarily situated in the northwest and south; (2) Fuzhou's Green Infrastructure network comprises 10 hubs and 17 corridors with a hub area of 1306.98 ha, predominantly distributed in the mountains encircling the city, including Meifeng Mountain, Gaogai Mountain, and Qingliang Mountain; (3) Based on optimization, the circuit centrality index categorizes hub importance into three protection levels, pinpointing nine crucial protected areas in the corridors and 680 areas requiring enhancement, including 68 areas for first-level improvement, 149 areas for second-level improvement, and 463 areas for third-level improvement. This research offers a methodological reference for constructing and optimizing green infrastructure networks in mountainous cities, providing both theoretical and practical foundations for optimizing green infrastructure networks in Fuzhou City.
Keyword ：
Circuit theory Circuit theory Green infrastructure network Green infrastructure network Morphological spatial pattern analysis Morphological spatial pattern analysis Mountainous cities Mountainous cities
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| GB/T 7714 | Huang, He , Fu, Danling , Ding, Guochang et al. Construction and optimization of Green Infrastructure Network in mountainous cities: a case study of Fuzhou, China [J]. | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| MLA | Huang, He et al. "Construction and optimization of Green Infrastructure Network in mountainous cities: a case study of Fuzhou, China" . | SCIENTIFIC REPORTS 14 . 1 (2024) . |
| APA | Huang, He , Fu, Danling , Ding, Guochang , Yan, Chen , Xie, Xiangcai , Gao, Yaling et al. Construction and optimization of Green Infrastructure Network in mountainous cities: a case study of Fuzhou, China . | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
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The Photovoltaic-Green Roof (PV-GR) system, which integrates rooftop photovoltaics and green roofing, has significant potential for sustainable urban development and climate change mitigation. However, the specific effects of PV-GR are not yet clear. This paper employs methodologies including Geographic Information Systems (GIS), Denitrification-Decomposition(DNDC) Model, and solar simulation. Combined with ecological balance calculations, these methods assess PV-GR's carbon reduction benefits and its potential to mitigate climate change. Using Xiamen City as a case study, research shows that Xiamen has about 54 km2 of rooftops suitable for PV-GR. Annually, PV-GR can produce about 5.931x103 tons of biomass and generate 7,427 GWh of electricity, meeting about 22.13 % of Xiamen's annual electricity demand. The annual carbon reduction from Xiamen's PVGR is estimated at about 5.131x106 t CO2-eq, offsetting around 29.28 % of the city's annual carbon emissions. Over a 30-year lifecycle, PV-GR's carbon emissions and reduction benefits amount to 2.274x107 t CO2-eq and 1.539x108 t CO2-eq, respectively. The ecological footprint of deploying PV-GR in Xiamen is 6.709x104 Gha, while the biocapacity reaches 4.542x105 Gha. The global ecological balance stands at 3.872x105 Gha, suggesting that PV-GR can significantly contribute to mitigating climate change.
Keyword ：
Biocapacity Biocapacity Carbon reduction benefits Carbon reduction benefits Ecological balance Ecological balance Ecological footprint Ecological footprint Photovoltaic-green roof Photovoltaic-green roof Sustainable urban development Sustainable urban development
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| GB/T 7714 | Chen, Taoyu , Zhang, Ni , Ye, Zubin et al. Carbon reduction benefits of photovoltaic-green roofs and their climate change mitigation potential: A case study of Xiamen city [J]. | SUSTAINABLE CITIES AND SOCIETY , 2024 , 114 . |
| MLA | Chen, Taoyu et al. "Carbon reduction benefits of photovoltaic-green roofs and their climate change mitigation potential: A case study of Xiamen city" . | SUSTAINABLE CITIES AND SOCIETY 114 (2024) . |
| APA | Chen, Taoyu , Zhang, Ni , Ye, Zubin , Jiang, Kunneng , Lin, Zhiqian , Zhang, Huimin et al. Carbon reduction benefits of photovoltaic-green roofs and their climate change mitigation potential: A case study of Xiamen city . | SUSTAINABLE CITIES AND SOCIETY , 2024 , 114 . |
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