Sustainable Cities and Society最新文献_第9页

Life cycle carbon emission assessment and carbon payback period analysis for the regeneration of old residential areas in cold regions: Case study in Qingdao, China 寒冷地区旧住宅区改造的生命周期碳排放评估与碳投资回收期分析：中国青岛案例研究

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-29 DOI: 10.1016/j.scs.2024.105860

Communities urgently need to explore green and low-carbon transformation pathways due to high energy consumption and carbon emissions. However, existing studies lack a comprehensive assessment of carbon emissions and analysis regarding carbon reduction during renovation of old residential areas in cold regions. Therefore, this study employs a Life Cycle Assessment (LCA) and the payback period method to evaluate carbon emissions throughout the life cycle comprehensively. It constructs a carbon-emission calculation model based on LCA, specifically tailored to the retrofitting of old residential areas in cold cities. Additionally, it investigates the effectiveness of three typical retrofit measures undertaken in Qingdao, a region located in the cold A zone, focusing on whole-life-cycle energy savings and carbon reduction. The findings reveal that the average annual carbon emission intensity per unit area for Cases 1, 2, and 3 is 12.59 kg-CO₂ e/(m²·a), 27.05 kg-CO₂ e/(m²·a), and 23.39 kg-CO₂ e/(m²·a), respectively. Their corresponding carbon payback periods were 6.06, 7.23, and 16.00 years, respectively, which could be further shortened through material recycling. The environmental impact assessment of typical retrofitting measures contributes to the promotion of sustainable development. Furthermore, this study offers guidance for establishing an effective assessment system that supports the design of energy-saving retrofits.

由于高能耗和高碳排放，社区亟需探索绿色低碳转型之路。然而，现有研究缺乏对寒冷地区旧住宅区改造过程中碳排放的全面评估和减碳分析。因此，本研究采用生命周期评估（LCA）和投资回收期法对整个生命周期的碳排放量进行了全面评估。它构建了一个基于生命周期评估的碳排放计算模型，专门用于寒冷城市的旧住宅区改造。此外，该研究还考察了位于 A 寒带的青岛地区所采取的三种典型改造措施的效果，重点关注全生命周期节能减碳。研究结果表明，案例 1、2 和 3 的单位面积年平均碳排放强度分别为 12.59 kg-CO2 e/（m2-a）、27.05 kg-CO2 e/（m2-a）和 23.39 kg-CO2 e/（m2-a）。相应的碳投资回收期分别为 6.06 年、7.23 年和 16.00 年，通过材料循环利用，可进一步缩短投资回收期。典型改造措施的环境影响评估有助于促进可持续发展。此外，本研究还为建立有效的评估体系提供了指导，从而为节能改造设计提供支持。

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引用次数: 0

Designing adaptive policy packages for inclusive smart cities: Lessons from Singapore's smart nation program 为包容性智慧城市设计适应性政策包：新加坡智慧国家项目的经验教训

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-29 DOI: 10.1016/j.scs.2024.105868

In the last two decades, cities have embraced advanced technologies such as artificial intelligence, information and communications technology-based systems, internet of things, and big data analytics as a key component of the urban environment. These ‘smart cities’ use technological and digital solutions to enhance quality of life, increase access to and utilisation of urban services, and improve resource management. However, adopting advanced technologies is fraught with uncertainty and unpredictability which presents several challenges in designing inclusive smart city policies. In this study, we identify and advance synergies needed for designing policies for inclusive smart cities. We analyse policy design components of Singapore's Smart Nation program – goals, instruments, and their interactions in policy packages. We demonstrate how policymakers pursue policy goals for inclusive development while balancing technological transformation. Results indicate the need for developing adaptive spaces for policy design in smart cities that respond and adjust to the uncertainties associated with adopting advanced technologies while retaining the desired policy objectives for inclusive development. These spaces are shown to have a large variation in policy instruments combined with synergistic and facilitative interactions between them. Our findings further the discussion on adaptive policy design and their role in smart city governance.

在过去二十年里，城市已将人工智能、基于信息和通信技术的系统、物联网和大数据分析等先进技术作为城市环境的重要组成部分。这些 "智慧城市 "利用技术和数字解决方案来提高生活质量，增加城市服务的获取和利用，并改善资源管理。然而，采用先进技术充满了不确定性和不可预测性，这给设计包容性的智慧城市政策带来了诸多挑战。在本研究中，我们确定并推进设计包容性智慧城市政策所需的协同作用。我们分析了新加坡智慧国计划的政策设计要素--目标、工具及其在一揽子政策中的相互作用。我们展示了政策制定者如何在平衡技术转型的同时追求包容性发展的政策目标。结果表明，有必要为智慧城市的政策设计开发适应空间，以应对和调整与采用先进技术相关的不确定性，同时保持包容性发展的预期政策目标。结果表明，这些空间的政策工具差异很大，而且它们之间存在协同和促进作用。我们的研究结果进一步推动了关于适应性政策设计及其在智慧城市治理中的作用的讨论。

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引用次数: 0

WebMRT: An online tool to predict summertime mean radiant temperature using machine learning WebMRT：利用机器学习预测夏季平均辐射温度的在线工具

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-29 DOI: 10.1016/j.scs.2024.105861

Mean Radiant Temperature (T_mrt) is the most critical atmospheric variable influencing outdoor human thermal exposure and comfort in hot, dry environments. However, accurately quantifying T_mrt requires time-consuming field measurements with expensive equipment or complex, resource-intensive computations. We introduce WebMRT, an online tool to predict T_mrt using a data-driven approach. It features an intuitive interface using air temperature, shading status, and built environment features as predictors of T_mrt for a user-selected summer day, time, and location. Utilizing a tree-based ensemble model, WebMRT is trained on state-of-the-art human-biometeorological data collected by MaRTy using LightGBM after evaluating its performance against several candidate machine learning regressors. Feature engineering was applied to the day and time input, and two additional temporal features were derived: ‘Solar Altitude’ and ‘Minutes-from-Sunrise’. These inputs are integrated into the user interface, emphasizing simplicity and easy access for users at the frontend. After training the regressor on MaRTy datasets and employing k-fold cross-validation with ten folds, the model demonstrated strong predictive power (R²=0.92) with acceptable error (RMSE=3.43, MAPE=5.33) and bias (MBE=0.20). WebMRT also features optional fisheye photo uploads, processed using transfer learning techniques for image segmentation, further enhancing the tool's predictive accuracy, user experience, and applications towards climate action decision-making processes.

在炎热干燥的环境中，平均辐射温度（Tmrt）是影响室外人体热暴露和舒适度的最关键大气变量。然而，准确量化 Tmrt 需要使用昂贵的设备进行耗时的实地测量，或进行复杂的资源密集型计算。我们介绍了 WebMRT，这是一种使用数据驱动方法预测 Tmrt 的在线工具。它拥有一个直观的界面，使用气温、遮阳状态和建筑环境特征作为用户选定的夏季日、时间和地点的 Tmrt 预测因子。WebMRT 利用基于树的集合模型，通过 LightGBM 在 MaRTy 收集到的最先进的人体生物气象数据上进行训练，然后根据几个候选机器学习回归因子对其性能进行评估。对日期和时间输入应用了特征工程，并得出了两个额外的时间特征：太阳高度 "和 "日出后几分钟"。这些输入被集成到用户界面中，强调简洁性，方便前端用户访问。在 MaRTy 数据集上训练回归器并采用 k 倍交叉验证（10 倍）后，模型显示出很强的预测能力（R2=0.92），误差（RMSE=3.43，MAPE=5.33）和偏差（MBE=0.20）均可接受。WebMRT 还具有可选的鱼眼照片上传功能，使用迁移学习技术对图像进行分割处理，进一步提高了该工具的预测准确性、用户体验以及在气候行动决策过程中的应用。

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引用次数: 0

The impact of surveillance cameras and community safety activities on crime prevention: Evidence from Kakogawa City, Japan 监控摄像头和社区安全活动对预防犯罪的影响：日本加古川市的证据

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-28 DOI: 10.1016/j.scs.2024.105858

While surveillance cameras are widely used for crime prevention in living environments, the interplay between such physical measures and community safety activities remains less understood. This study is grounded in Kakogawa city in Japan, which was once noted for a high crime rate and is now one of the most-surveilled cities in the nation. A questionnaire survey was conducted to assess public attitudes towards local security, surveillance cameras and community safety activities among 116 citizens, with data analysed through both quantitative (ANOVA, t-test, and Pearson correlation) and qualitative (Kawakita-Jiro method) approaches. The study reveals a high level of safety perception, with both physical and social measures contributing. The acceptance of cameras is notably high and scarcely affected by demographics or personal experiences, largely due to local government's efforts to build collective trust. While the current level of community participation is insufficient, citizens perceive safety activities as irreplaceable by surveillance cameras, indicating that both should be concurrently promoted to enhance crime prevention initiatives. This study provides insights into the non-substitutable relationship between physical and social prevention measures and offers policy recommendations, including emphasising public involvement in implementing security devices and promoting the publicity of localised safety activities.

虽然监控摄像头被广泛应用于生活环境中的犯罪预防，但人们对此类物理措施与社区安全活动之间的相互影响仍然知之甚少。本研究以日本加古川市为研究对象，该市曾因犯罪率高而闻名，如今已成为日本治安最差的城市之一。本研究对 116 名市民进行了问卷调查，以评估公众对地方安全、监控摄像头和社区安全活动的态度，并通过定量（方差分析、t 检验和皮尔逊相关性）和定性（川北次郎法）方法对数据进行了分析。研究结果表明，市民对安全的认知度很高，这与物理和社会措施都有关系。人们对摄像头的接受程度很高，几乎不受人口统计或个人经历的影响，这主要归功于当地政府为建立集体信任所做的努力。虽然目前的社区参与程度不够，但市民认为安全活动是监控摄像头无法替代的，这表明两者应同时推进，以加强犯罪预防措施。本研究深入探讨了实体预防措施与社会预防措施之间的不可替代关系，并提出了政策建议，包括强调公众参与实施安全设备，以及促进本地化安全活动的宣传。

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引用次数: 0

Study on the planning and scheduling strategies of the hydrogen supply network for road transportation in deep decarbonization scenarios 深度脱碳情景下公路运输氢气供应网络的规划和调度策略研究

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-28 DOI: 10.1016/j.scs.2024.105859

As the energy decarbonization continues to advance, hydrogen is gaining momentum. With the increasing demand for hydrogen and the lack of hydrogen infrastructure, it is urgent to solve the problem of hydrogen supply network layout planning. In order to reduce redundant construction of hydrogen supply network infrastructure and increase the rationality of its layout, this paper conducts research on the optimal layout planning of hydrogen supply network infrastructure in the transportation sector. By constructing a two-stage real-time scheduling model of hydrogen supply network, the unit cost composition of hydrogen supply network is more complete and accurate, and the location, technology type and quantity of each link of hydrogen supply network are obtained. The results show that the unit cost of China's hydrogen supply network is 27.8 CNY/kg in 2035 and 19.04 CNY/kg in 2050 under the baseline scenario. Compared with the results of existing literature, the two-stage real-time scheduling model can reduce by 7 % of the hydrogen energy supply network unit cost by decreasing the transportation vehicles and the investment capacity of fixed hydrogen storage equipment. The proposed method of the hydrogen supply network planning can provide policy-makers with the selection of sustainability pathways for dynamic hydrogen infrastructure development planning.

随着能源去碳化的不断推进，氢能的发展势头也越来越好。随着氢气需求的不断增长和氢气基础设施的匮乏，供氢网络布局规划问题亟待解决。为了减少氢气供应网络基础设施的重复建设，提高其布局的合理性，本文对交通领域氢气供应网络基础设施的优化布局规划进行了研究。通过构建氢气供应网络两阶段实时调度模型，更加完整、准确地得出氢气供应网络的单位成本构成，以及氢气供应网络各环节的位置、技术类型和数量。结果表明，在基准情景下，2035 年中国氢气供应网络的单位成本为 27.8 元/千克，2050 年为 19.04 元/千克。与现有文献结果相比，两阶段实时调度模型通过减少运输车辆和固定储氢设备的投资容量，可降低氢能供应网络单位成本的 7%。所提出的氢能供应网络规划方法可为政策制定者提供动态氢能基础设施发展规划的可持续性路径选择。

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引用次数: 0

Source term estimation in the unsteady flow with dynamic mode decomposition 利用动态模式分解估算非稳定流中的源项

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-28 DOI: 10.1016/j.scs.2024.105843

When estimating source parameters in the unsteady flow, the flow information of pollution dispersion is indispensable. It is common practice to save the flow information in the computer in advance but it requires large storage space. Besides, when contaminants are released after a time period of the flow field saved before, calculating the flow field by Computational Fluid Dynamics (CFD) model demands massive computational cost. Dynamic Mode Decomposition (DMD) is thereby proposed to solve the problems mentioned above. Firstly, the fields are decomposed by DMD. Then, the simulated concentrations are acquired by the adjoint equation based on the field synthesized by DMD. Finally, the measured concentrations and the simulated concentrations are taken into Bayesian inference to accomplish source term estimation (STE). The results show that the estimated results with high accuracy are obtained both in the reconstruction stage and in the prediction stage when using the fields obtained by DMD. Also, the efficiency of predicting the future flow by DMD is much higher than that by CFD simulation, suggesting that DMD can improve the efficiency of STE in some cases. As DMD uses a small number of dominant modes to synthesize the approximate fields with minor errors, it reduces the storage demand of flow information in STE. The sampling range and sampling resolution should be properly selected to ensure the accuracy of STE.

在估算非稳定流中的污染源参数时，污染扩散的流量信息是不可或缺的。通常的做法是预先将流场信息保存在计算机中，但这需要很大的存储空间。此外，当污染物在之前保存的流场一段时间后释放时，通过计算流体动力学（CFD）模型计算流场需要大量的计算成本。因此，我们提出了动态模式分解（DMD）来解决上述问题。首先，通过 DMD 对流场进行分解。然后，根据 DMD 合成的场，通过邻接方程获得模拟浓度。最后，将测量浓度和模拟浓度纳入贝叶斯推理，完成源项估计（STE）。结果表明，使用 DMD 获得的场，在重建阶段和预测阶段都能获得高精度的估计结果。同时，DMD 预测未来流量的效率远高于 CFD 模拟，表明在某些情况下 DMD 可以提高 STE 的效率。由于 DMD 使用少量主导模式来合成误差较小的近似场，因此减少了 STE 对流量信息的存储需求。为确保 STE 的精度，应适当选择采样范围和采样分辨率。

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引用次数: 0

Dynamic simulation of street-level carbon emissions in megacities: A case study of Wuhan City, China (2015–2030) 特大城市街道碳排放的动态模拟：中国武汉市案例研究（2015-2030 年）

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-27 DOI: 10.1016/j.scs.2024.105853

Dynamic simulation of carbon emissions (CE) in megacities is crucial for regional carbon reduction management, however, limited simulation accuracy hinders its application in carbon reduction policies. An integrated modeling framework was developed based on high-resolution multi-source data to analyze the street-level carbon emissions in Wuhan from 2015 to 2030. First, we conducted principal components analysis on the 5 driving factors of carbon emissions (including point of interests, electricity consumption, gross domestic product, population, and nighttime light) to delineate single carbon emission character region (CECR). Then, a machine learning method was used to simulating CE and explaining the contributions of different CECRs. Multi-scenarios CE accountings also were conducted with CECR simulations and an improved cellular automata model. Results shows that: (1) CE in Wuhan showed strong aggregation during the historical period. The five CECRs formed a near-concentric circle. The changes of CECR reflected the enhancement of human activity. (2) CE gradually shifted from the central urban areas to the surrounding regions during the scenario period, showing significant spatial spillover effects. Administrative districts with lower CE density exhibited greater scenario variation in total carbon emissions, indicating a higher potential for carbon reductions. (3) The total CE of Wuhan (148.11 Mt) in 2030 is projected to increase by 42.6 % compared to 2015 in the baseline scenario, representing 105 % of the low scenario and 91 % of the high scenario. The growth rate of total CE in Wuhan significantly slows down (<1 %) under all scenarios. The high-resolution dynamic simulation of CE will provide an important scientific basis for low-carbon city management in China.

特大城市碳排放（CE）的动态模拟对于区域碳减排管理至关重要，然而，有限的模拟精度阻碍了其在碳减排政策中的应用。本研究基于高分辨率多源数据建立了一个综合建模框架，以分析武汉市 2015 年至 2030 年的街道碳排放情况。首先，我们对碳排放的 5 个驱动因素（包括兴趣点、用电量、国内生产总值、人口和夜间光照）进行了主成分分析，划分出单一碳排放特征区域（CECR）。然后，使用机器学习方法模拟碳排放，并解释不同 CECR 的贡献。此外，还利用 CECR 模拟和改进的细胞自动机模型进行了多情景 CE 计算。结果表明(1) 历史时期武汉市的 CE 呈现出较强的聚集性。五个 CECR 形成了一个近乎同心的圆。CECR 的变化反映了人类活动的加强。(2) 在情景时期，CE 逐渐从中心城区向周边地区转移，表现出显著的空间溢出效应。CE密度较低的行政区碳排放总量情景变化较大，表明碳减排潜力较大。(3）预计 2030 年武汉市碳排放总量（1.4811 亿吨）将比基准情景下的 2015 年增长 42.6%，占低情景的 105%和高情景的 91%。在所有情景下，武汉市消费总量的增长率都明显放缓（1%）。高分辨率的CE动态模拟将为中国的低碳城市管理提供重要的科学依据。

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引用次数: 0

A LoRaWAN-based environmental sensing network for urban green space monitoring with demonstrated application for stormwater management 基于 LoRaWAN 的环境传感网络，用于城市绿地监测和雨水管理示范应用

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-27 DOI: 10.1016/j.scs.2024.105852

Monitoring urban green spaces (UGSs) is crucial for achieving sustainable urban development and ecological resilience. Leveraging LoRaWAN technology, a wireless environmental sensing system was developed and implemented to monitor soil moisture dynamics across seven diverse UGSs over a year. Analyses revealed notable variations in soil moisture influenced by vegetation types, soil conditions and physical settings. Seasonal trends indicated lower summer soil moisture in some UGSs resulting from increased evapotranspiration, while others maintained higher soil moisture due to more frequent irrigation. The soil moisture response to rainfall was quantitatively modeled, demonstrating the increase in soil moisture is highly positively dependent on rainfall amount and negatively dependent on initial moisture level. Both factors were significant (p<0.001) in most cases, and the models’ adjusted R² values were all above 0.65 except for one node. The findings also unveiled more dynamic ranges of UGS runoff coefficients than government guideline values, especially high runoff coefficients (0.4 to 1.0) for rainfall events above 50 mm. Therefore, although existing UGSs can help absorb smaller storms, proactive drainage systems are needed for UGSs to handle extreme events. The study highlights LoRaWAN's efficacy in urban environmental monitoring and provides valuable insights for managing and optimizing UGSs, especially in stormwater management.

监测城市绿地（UGS）对于实现城市可持续发展和生态恢复至关重要。利用 LoRaWAN 技术，我们开发并实施了一套无线环境传感系统，对七个不同的城市绿地进行了为期一年的土壤湿度动态监测。分析结果表明，土壤水分受植被类型、土壤条件和物理环境的影响存在明显差异。季节性趋势表明，一些 UGS 的夏季土壤湿度较低，原因是蒸散量增加；而另一些 UGS 的土壤湿度较高，原因是灌溉次数增加。对土壤水分对降雨的响应进行了定量建模，结果表明土壤水分的增加与降雨量呈高度正相关，而与初始湿度呈负相关。在大多数情况下，这两个因素都具有显著性（p<0.001），除一个节点外，模型的调整 R2 值均高于 0.65。研究结果还揭示出，与政府指导值相比，UGS 径流系数的动态范围更大，尤其是 50 毫米以上降雨事件的径流系数较高（0.4 至 1.0）。因此，尽管现有的地下综合管廊可以帮助吸收较小的暴雨，但地下综合管廊仍需要积极的排水系统来应对极端事件。这项研究强调了 LoRaWAN 在城市环境监测方面的功效，并为管理和优化 UGS（尤其是雨水管理）提供了宝贵的见解。

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引用次数: 0

Enhancing water management and urban flood resilience using Hazard Capacity Factor Design (HCFD) model: Case study of Eco-Delta city, Busan 利用灾害容量因子设计（HCFD）模型加强水资源管理和城市抗洪能力：釜山生态三角洲城市案例研究

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-27 DOI: 10.1016/j.scs.2024.105851

This study evaluated future climate scenarios and the changes in urban flood resistance capacity in Busan Eco-Delta City using the hazard capacity factor design (HCFD) model. It analyzed the flood reduction effects of both gray and green infrastructure. Despite existing flood safety systems, there is a growing need to enhance urban flood resilience due to increasing heavy rainfall, unpredictable precipitation, and frequent typhoons driven by climate change. The HCFD model predicted urban flood volumes of Busan Eco-Delta City and analyzed the effectiveness of gray and green infrastructure in flood control. A stormwater management model (SWMM) simulated urban flood resistance capacity under the SSP1–2.6 climate change scenario. Results indicate that for an anticipated 500 mm rainfall over 3 h, green infrastructure can mitigate floods by 9 % to 17.6 %, while gray infrastructure can reduce flooding by 24 % to 32.1 %. The integration of gray and green infrastructure leads to an overall flood mitigation ranging from 47.1 % to 63.3 %. A notable contribution of this research is its predictive analysis of future flood scenarios using model-based scenario analysis and decision support algorithms, offering valuable insights into changes in urban flood resistance capacity and strategies for effective flood control decision-making.

本研究利用灾害容量系数设计（HCFD）模型评估了未来的气候情景和釜山生态三角洲城市抗洪能力的变化。研究分析了灰色和绿色基础设施的减洪效果。尽管已有防洪安全系统，但由于气候变化导致的暴雨增加、降水不可预测以及台风频繁，加强城市抗洪能力的需求日益增长。HCFD 模型预测了釜山生态三角洲城市的洪水量，并分析了灰色和绿色基础设施在洪水控制中的有效性。雨水管理模型（SWMM）模拟了 SSP1-2.6 气候变化情景下的城市抗洪能力。结果表明，在 3 小时内预计降雨量为 500 毫米的情况下，绿色基础设施可将洪水缓解 9% 至 17.6%，而灰色基础设施可将洪水减少 24% 至 32.1%。灰色基础设施与绿色基础设施相结合，可减少 47.1% 至 63.3% 的洪水。这项研究的一个显著贡献是利用基于模型的情景分析和决策支持算法对未来洪水情景进行了预测分析，为城市抗洪能力的变化和有效防洪决策策略提供了宝贵的见解。

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引用次数: 0

A framework combining multi-scale model and unmanned aerial vehicle for investigating urban micro-meteorology, thermal comfort, and energy balance 多尺度模型与无人飞行器相结合的城市微气象、热舒适度和能量平衡研究框架

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-09-27 DOI: 10.1016/j.scs.2024.105847

Sophisticated urban climate systems, influenced by the interaction of mesoscale circulation and microscale forcing, cannot be adequately described using solely mesoscale or microscale models. Moreover, high-quality urban morphological data are indispensable for quantifying the complex and highly fragmented wind/thermal environments with heterogeneous characteristics. This study develops an innovative multi-scale modeling framework combining the coupled mesoscale and microscale numerical models with unmanned aerial vehicle photography to accurately capture the microclimate dynamics of highly fragmented real urban climates under mesoscale weather conditions. Validated by measured data, this framework is adopted to simulate the dynamic meteorology during the heatwave in the Xiongan New Area in Hebei Province, China. Results reveal that the high-density built-up area(HDA) exhibits spatial patterns of higher temperatures, poorer ventilation, more arid, and more severe heat stress than near-river and low-density areas. Moreover, HDA tends to convert more radiation energy into ground heat storage(Q_S) and sensible heat flux(Q_H) during daytime, and Q_S is subsequently released into Q_H at night, thus deteriorating the nighttime thermal environment. Whereas, the river converts more radiation energy into Q_S, with a portion transformed into latent heat flux, which benefits summer cooling. This innovative framework provides promising tools for sustainable urban climate design in realistic cities.

复杂的城市气候系统受到中尺度环流和微尺度强迫相互作用的影响，仅用中尺度或微尺度模式无法充分描述。此外，高质量的城市形态数据对于量化具有异质性特征的复杂且高度分散的风/热环境也是不可或缺的。本研究开发了一种创新的多尺度建模框架，将中尺度和微尺度耦合数值模型与无人机摄影相结合，以准确捕捉中尺度天气条件下高度分散的真实城市气候的微气候动态。通过实测数据的验证，该框架被用于模拟中国河北雄安新区热浪期间的动态气象。结果表明，与近江地区和低密度地区相比，高密度建筑区（HDA）表现出温度更高、通风更差、更干旱和更严重的热应力空间模式。此外，HDA 在白天倾向于将更多的辐射能转化为地热储存（QS）和显热通量（QH），而 QS 则在夜间释放到 QH 中，从而导致夜间热环境恶化。而河流将更多辐射能转化为 QS，其中一部分转化为潜热通量，有利于夏季降温。这一创新框架为现实城市中的可持续城市气候设计提供了前景广阔的工具。

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引用次数: 0