本次给大家整理的是《Sustainable Cities and Society》杂志2023年12月第99期的论文的题目和摘要，一共包括51篇SCI论文！由于论文过多，我们将通过两篇文章进行介绍，本篇介绍第31_第51篇论文！
论文31
Numerical investigation for concentrated photovoltaic solar system in existence of paraffin equipped with MWCNT nanoparticles
聚光光伏太阳能系统中存在的含有MWCNT纳米颗粒的石蜡的数值研究
【摘要】
To generate greater electricity and heat saving, aconcentrated PVT (Photovoltaic thermal) system was applied in current study. The thermal section of the unit includes tubes containing nanofluid and paraffin containers in existence of MWCNT nanoparticles. Numerical simulation has been incorporated to investigate the impact of installing fins within the paraffin zone. The four mirrors with equal width have been utilized to concentrate the solar irradiation which leads to use of the whole solar spectrum. Laminar 3D flow within the cooling unit has been considered. The verification tests have been done in both views of melting modeling and PVT simulation. The grid independence procedure has been done and also, the best value of time step has been selected. Three configurations of fins (I-shape, short base arrow and long base arrow) have been implemented with four levels of Re (25, 750, 1250 and 1750). The maximum useful heat has been achieved for configuration of short base arrows. Dispersing MWCNT nanoparticles makes useful heat to increase about 9.58% for greatest inlet flow. The minimum temperature of the paraffin zone has been reported for short base arrows and augment of Re leads to reduction of temperature about 1.05%. Among scrutinized configurations, the maximum value of ηele belongs to the configuration of short base arrows and this function enhances with augment of Re about 3.72%.
【摘要翻译】
为了产生更大的电力和热量节省，在当前的研究中应用了集中PVT（光伏热）系统。该装置的热部分包括含有纳米流体的管和存在MWCNT纳米颗粒的石蜡容器。目前已经纳入了数值模拟来研究在石蜡区内安装翅片的影响。为使用整个太阳光谱，运用四个等宽的镜子来集中太阳辐射。并且考虑到了冷却装置内的层流 3D 流动。验证测试已在熔炼建模和PVT仿真的两个视图中完成。网格独立程序已经完成，并且已经选择了时间步长的最佳值。鳍的三种配置（I形，短基箭头和长基箭头）已经实现了四个级别的Re（25,750,1250和1750）。对于配置短基箭头，已达到最大有用热量。分散MWCNT纳米颗粒使有用的热量增加约9.58%，以获得最大的入口流量。据报道，短基箭头的石蜡区最低温度和Re的增加导致温度降低约1.05%。在仔细检查的配置中，最大值 η电子属于短基箭头的配置，此功能随着Re的增强约3.72%而增强。
【doi】
10.1016/j.scs.2023.104901
【作者信息】
无
论文32
A novel walkability index using google street view and deep learning
使用谷歌街景和深度学习的新型步行性指数
【摘要】
Despite its wide use across disciplines, the conventional walkability index has limited applicability in planning and design practice because it shows poor agreement with pedestrians’ subjective assessment, which is an important measure of pedestrian-friendliness. One of the key reasons is that the index largely ignores micro-level features that are important in describing walking behavior. To address this gap, we developed a new walkability index that encompasses both micro-level and macro-level attributes using Google Street View (GSV) data and computer vision algorithms. The outperformance of the new index is validated through its alignment with pedestrian-rated overall walking environment satisfaction. The findings of this study underscore the limitations of the Walk-score by revealing a significant disparity with walking environment satisfaction. The validation tests confirm that our new index is superior to the Walk-score because it provides comprehensive reflections of satisfaction. Our results suggest the need for a new walkability index that includes streetscapes as well as macro-level features. Overall, our new index provides urban planners and analysts with an improved metric to capture various built environmental features for planning practice.
【摘要翻译】
尽管传统步行性指数在跨学科中得到广泛使用，但由于它与行人的主观评估（行人友好性的重要衡量标准）的一致性较差，因此在规划和设计实践中的适用性有限。其中一个关键原因是该指数在很大程度上忽略了在描述步行行为方面很重要的微观特征。为了弥补这一差距，我们开发了一个新的步行性指数，该指数使用谷歌街景（GSV）数据和计算机视觉算法，涵盖了微观和宏观层面的属性。新指数的优异表现通过与行人评分的整体步行环境满意度保持一致来验证。这项研究的结果通过揭示与步行环境满意度的显著差异，强调了步行评分的局限性。验证测试证实，我们的新指数优于步行分数，因为它对满意度进行了全面反映。我们的研究结果表明，需要一个包括街景和宏观特征的新的步行性指数。总体而言，我们的新指数为城市规划师和分析师提供了一个改进的指标，以捕捉各种建筑环境特征以进行规划实践。
【doi】
10.1016/j.scs.2023.104896
【作者信息】
无
论文33
Slum and urban deprivation in compacted and peri-urban neighborhoods in sub-Saharan Africa
撒哈拉以南非洲紧凑社区和城郊社区的贫民窟和城市贫困
【摘要】
UN-Habitat estimates that 51.3% of the urban population in sub-Saharan Africa (SSA) resided in slums in 2020, and future projections indicate continued growth. However, limited information on the spatial distribution and evolution of slums in the region underestimates the challenges they present.This study investigates the use of urban morphology to map slums in 95 cities across Nigeria, Kenya, Ghana, and Malawi. The approach employed an unsupervised classification and a tree-based clustering framework, integrating morphological and socio-economic indicators, as well as comprehensive sampling points for slums.Our findings indicate that morphological clusters with compact, small buildings are indicative of a high prevalence of slums, with an accuracy rate of 83.6%. Moreover, these morphological slum clusters exhibit significant correlations with socio-economic indicators, exhibiting lower GDP andwealth index compared to neighbouring clusters. Notably, larger and older slums demonstrate improved economic well-being and enhanced infrastructures services.Our findings underscore the potential of utilizing urban morphology to comprehend the diversity and dynamics of urban slums and socioeconomic development. These results provide a foundation for large-scale identification of slums and urban deprivation, offering support for targeted solutions to address the challenges associated with slums in developing countries.
【摘要翻译】
联合国人居署估计，截止到2020年，撒哈拉以南非洲（SSA）51.3%的城市人口仍居住在贫民窟，而该数据在未来的预测中表明将继续增长。然而，关于该区域贫民窟的空间分布和演变的信息有限，使我们低估了贫民窟所带来的问题。本研究调查了尼日利亚、肯尼亚、加纳和马拉维 95 个城市使用城市形态学绘制贫民窟地图的情况。这一办法采用了无监督分类和基于树木的聚类框架，综合了形态和社会经济指标以及贫民窟的综合抽样点。研究结果表明，具有紧凑小型建筑物的形态集群表明贫民窟的高流行率，准确率为83.6%。此外，这些形态上的贫民窟群与社会经济指标密切相关，与邻近的集群相比，其国内生产总值和财富指数较低。值得注意的是，较大和较老的贫民窟的经济福祉有所改善，基础设施服务得到加强。研究结果强调了利用城市形态学来理解城市贫民窟和社会经济发展的多样性和动态的潜力。这些结果为大规模查明贫民窟和城市贫困提供了基础，为解决发展中国家贫民窟相关挑战的有针对性的解决方案提供了支持。
【doi】
10.1016/j.scs.2023.104863
【作者信息】
ChengxiuLi, 清华大学全球变化研究院，地球系统科学系，地球系统模拟教育部重点实验室
LeYu, 清华大学全球变化研究院，地球系统科学系，地球系统模拟教育部重点实验室
FrancisOloo,Ellasy GululeChimimba,OscarKambombe,MosesAsamoah,
Precious DapaOpoku, 清华大学全球变化研究院，地球系统科学系，地球系统模拟教育部重点实验室
Vincent WayugaOgweno j, DominicFawcett,
JinpyoHong, 清华大学计算机科学与技术系
XiangzhenDeng, 埃克塞特大学生命与环境科学学院
PengGong, 香港大学地理系、地球科学系及气候与碳中和研究所
JimWright
论文34
Towards a net-zero carbon economy: A sustainability performance assessment of innovative prefabricated construction methods for affordable housing in Southern Africa
迈向净零碳经济：南部非洲经济适用房创新预制建筑方法的可持续性绩效评估
【摘要】
Recently, efforts to mainstream sustainability principles into affordable housing projects through the adoption of modern methods of construction, like innovative prefabricated construction methods (IPCMs), have been observed. However, limited studies have evaluated the sustainability performance of IPCMs deployed to affordable housing projects in Southern Africa, where the delivery of sustainable affordable housing remains a regional imperative. This study bridges this gap by assessing the sustainability performance and index scores of six IPCM variants implemented on affordable housing projects. The study adopted a two-phased quasi-experimental research design. In the first phase, the technical specification, lifecycle energy and cost and actual performance of these variants under varying conditions pertaining to sustainability were assessed and compared. The Sustainable, Innovative, Affordable Housing (SIAH) framework was adjusted to enhance its utility for computing sustainability index scores using expert opinions. Afterwards, the experts computed the sustainability index score for each case using the adjusted SIAH framework. Subsequently, the Edge App and SimaPro were used to simulate the sustainability performance of these variants under varying conditions. The study's results indicate higher overall sustainability performance of IPCMs compared to conventional methods. Moreover, the research results proved that the monolithic IPCMs were more suitable for net-zero carbon buildings. The study highlights the SIAH framework's usefulness as an assessment tool for determining the sustainability performance of affordable housing projects and for successfully selecting optimum IPCMs to implement towards eliciting such performance. It is expected that this study's results will contribute towards advancing the SIAH agenda in Southern Africa.
【摘要翻译】
最近，人们努力通过采用现代建筑方法（如创新的预制建筑方法（IPCMs））将可持续性原则纳入经济适用房项目的主流。然而，只有部分研究评估了部署在南部非洲经济适用房项目中的IPCM的可持续性绩效。因此，在南部非洲，提供可持续的经济适用住房仍然是区域当务之急。本研究通过评估在经济适用房项目中实施的六个IPCM变体的可持续性绩效和指数得分来弥合这一差距。该研究采用了两阶段准实验研究设计。在第一阶段，评估和比较了这些变体在与可持续性相关的不同条件下的技术规格、生命周期能源和成本以及实际性能。对可持续、创新、经济适用房 （SIAH） 框架进行了调整，以增强其利用专家意见计算可持续性指数分数的效用。之后，专家们使用调整后的SIAH框架计算了每个案例的可持续性指数得分。随后，使用Edge App和SimaPro来模拟这些变体在不同条件下的可持续性表现。研究结果表明，与传统方法相比，IPCMs的整体可持续性绩效更高。此外，研究结果证明，整体式IPCMs更适合净零碳建筑。该研究强调了SIAH框架作为评估工具的有用性，用于确定经济适用房项目的可持续性绩效，并成功选择最佳IPCM以实施以引发此类绩效。预计这项研究的结果将有助于推进南部非洲的SIAH活动议程。
【doi】
10.1016/j.scs.2023.104907
【作者信息】
无
论文35
Low-emissivity interior wall strategy for suppressing overcooling in radiatively cooled buildings in cold environments
低辐射内墙策略，用于抑制寒冷环境中辐射冷却建筑物的过冷
【摘要】
Buildings with radiative cooling can significantly reduce energy consumption for cooling, but the overcooling phenomenon also occurs in cold seasons, which causes negative effects in buildings. Herein, a strategy of using low-emissivity interior surfaces to reduce the heat loss from humans to cold walls is proposed to suppress the negative overcooling effect of radiative cooling.Comparative experiments are conducted based on two small-scale boxes with internal heat sources and low/high emissivity interior surfaces. Results show that the heater temperature in the box with the low-emissivity interior surface is higher than that with the high-emissivity surface, with maximum and average temperature differences of 2.3 °C and 1.8 °C, which indicates that the radiative heat insulation effect is achieved for humans by the low-emissivity interior surface. Moreover, large-scale building modeling is performed, which not only confirms the existence of the overcooling phenomenon but also shows over 30% of heat loss can be avoided for internal heat sources by applying low-emissivity interior surfaces under overcooling conditions. Importantly, we found that interior surfaces with low emissivity under cold seasons and high emissivity under hot seasons can fully explore the potential of passive radiative cooling for buildings, which can guide the next-generation material design for energy-saving buildings.
【摘要翻译】
具有辐射冷却的建筑物可以显著降低冷却的能耗，但是在寒冷季节也会发生过冷现象，从而对建筑物造成负面影响。本文提出了一种利用低辐射内表面减少人体对冷壁的热量损失的策略，以抑制辐射冷却的负面过冷效应。基于两个具有内部热源和低/高发射率内表面的小型箱体进行了比较实验。结果表明：低辐射内表面箱体内的加热器温度高于高辐射面箱体温度，最大和平均温差分别为2.3 °C和1.8 °C，表明低辐射内表面对人体实现了辐射隔热效果。此外，还进行了大规模建筑建模，不仅证实了过冷现象的存在，而且表明在过冷条件下应用低辐射内表面可以避免内部热源超过30%的热损失。重要的是，我们发现冷季低辐射和炎热季节高辐射的内表面可以充分挖掘被动辐射冷却对建筑的潜力，这可以指导下一代节能建筑的材料设计。
【doi】
10.1016/j.scs.2023.104912
【作者信息】
BinZhao, 中国科学技术大学热科学与能源工程系
QingdongXuan, 合肥工业大学汽车与运输工程学院
WenshuoZhang, 中国科学技术大学热科学与能源工程系
MingkeHu, 新加坡国立大学机械工程系
ChuyaoWang, 香港理工大学建筑环境及能源工程系
GangPei, 中国科学技术大学热科学与能源工程系
论文36
Impacts of urban forests and landscape characteristics on land surface temperature in two urban agglomeration areas of China
中国两个城市群区城市森林和景观特征对地表温度的影响
【摘要】
Accurate characterization of urban forest change can help quantify its impact on the urban thermal environment. Taking Hangzhou City and Zhaoqing City, China as two cases, we proposed a deep learning-based approach to extract forest/non-forest types using China's Gaofen data and the labels it generates. We then explored the impacts of urban forest patterns on land surface temperature (LST). Our results indicate that Gaofen-1/6 images performed well for urban forest/non-forest mapping with an accuracy of over 90%. We found that afforestation anddeforestation exerted a net cooling of -0.62±0.30°C and -1.23±0.26°C and warming of 1.71±0.16°C and 1.29±0.14°C in Hangzhou and Zhaoqing, respectively. Balancing the LST changes of both afforestation and deforestation found total warming due to deforestation, especially in Hangzhou. Latitudinal reduced cooling and enhanced warming were found from Zhaoqing to Hangzhou, which can be explained by strong evaporative effects and inconsistent albedo effects. Moreover, a more pronounced cooling when other types converted to landscape core type and a weaker warming when landscape core type converted to other types were detected, especially in Zhaoqing. This study highlights the importance of designing rational afforestation plans, avoiding deforestation activities, and reducing forest fragmentation in delineating effective climate mitigation strategies.
【摘要翻译】
准确描述城市森林变化有助于量化其对城市热环境的影响。以杭州市和肇庆市为例，我们提出了一种基于深度学习的方法，利用中国高分数据及其生成的标签提取森林/非森林类型。然后，我们探讨了城市森林模式对地表温度（LST）的影响。结果表明，高分-1/6图像在城市森林/非森林制图中表现良好，准确率超过90%。研究发现，造林和砍伐对杭州和肇庆的净降温分别为-0.62±0.30°C和-1.23±0.26°C，升温1.71±0.16°C和1.29±0.14°C。平衡造林和毁林的LST变化发现，森林砍伐导致总体变暖，特别是在杭州。从肇庆到杭州，纬度降温加剧，这可以用强烈的蒸发效应和不一致的反照率效应来解释。此外，当其他类型转换为景观核心类型时，冷却更明显，当景观核心类型转换为其他类型时，温度较弱，特别是在肇庆。本研究强调了设计合理的植树造林计划、避免毁林活动和减少森林碎片化在制定有效的气候减缓战略方面的重要性。
【doi】
10.1016/j.scs.2023.104909
【作者信息】
WenjuanShen, 南京林业大学华南可持续林业协同创新中心
QingLiu, 南京林业大学华南可持续林业协同创新中心
MeiJi, 南京林业大学华南可持续林业协同创新中心
JiayingHe, 清华大学地球系统科学系
TaoHe, 武汉大学遥感与信息工程学院
ChengquanHuang, 马里兰大学地理科学系
论文37
Predicting residential water and electricity usage profiles with a temporal histogram model
使用时间直方图模型预测住宅用水和用电概况
【摘要】
The temporalhistogram model and synthesiser that is presented in this paper statistically models the unique usage behaviour of electricity or hot water usage for individual residential households. These can be used to model behaviour and do simulations for demand management and planning. The model takes into consideration both seasonal variations and weekday differences and the synthesiser autonomously generates hourly synthetic profiles. We use 1,200 household electricity profiles, each spanning over one year, and 77 hot water usages, each spanning at least one month for each season, to obtain the results. The results showed that the model can accurately characterise the usage behaviour for a household and accurately predict future usage. The model also has a novel capability to model the relationship between usages at different times of the day, which further increases its usefulness in city-wide utility planning. This reduced hourly prediction errors by 19.6% for electricity usage and 25.0% for hot water usage when the first twelve hours of a day are known. This model can be used as an effective tool for demand-side management strategies and providing insight into utility planning in cities.
【摘要翻译】
本文提出的时间直方图模型和合成器对个别住宅家庭用电或热水的独特使用行为进行了统计建模。这些可用于对行为进行建模，并为需求管理和规划进行模拟。该模型考虑了季节变化和工作日差异，合成器自动生成每小时的合成配置文件。我们使用 1,200 个家庭用电配置文件（每个配置文件跨越一年）和77个热水使用情况（每个季节至少跨越一个月）来获取结果。结果表明，该模型能够准确描述家庭的使用行为，并准确预测未来的使用情况。该模型还具有对一天中不同时间的使用情况之间的关系进行建模的新功能，这进一步提高了其在全市公用事业规划中的实用性。当一天的前19小时已知的情况下，每小时的用电量预测误差减少了19.6%，热水使用量每小时预测误差减少了25%。该模型可用作需求侧管理策略的有效工具，并提供对城市公用事业规划的见解。
【doi】
10.1016/j.scs.2023.104884
【作者信息】
无
论文38
Rethinking walkability: Exploring the relationship between urban form and neighborhood social cohesion
步行性的再思考：探索城市形态与邻里社会凝聚力的关系
【摘要】
Recent research has investigated the importance of both walkable urban design and social cohesion. Social cohesion has been shown to have broad social and health benefits, and scholars have hypothesized that walkable urban design can influence cohesion, though evidence remains limited. In this work, we leveraged a data-driven approach that broke down design factors related to walkable design and investigated their impact on cohesion. We used a US-wide open urban form dataset to characterize walkable urban design, and we used an open survey dataset that measured cohesion and demographics with a total sample size of 9670 in six US cities. We leveraged partial least squaredstructural equation modeling for statistical analysis. We found, controlling for demographics, that land use diversity had a significant positive impact on social cohesion. We also found that physical density, social density, and transit connectedness had significant negative impacts on cohesion, though this association is largely driven by the very dense neighborhoods in cities. These findings shed light on different theories of the built environment, offering insights for designers, engineers, and policymakers interested in the social effects of the built environment.
【摘要翻译】
最近的研究调查了步行城市设计和社会凝聚力的重要性。尽管证据仍然有限，但社会凝聚力已被证明具有广泛的社会和健康益处，学者们也假设步行城市设计可以影响凝聚力。在这项工作中，我们利用了一种数据驱动的方法，分解了与步行设计相关的设计因素，并研究了它们对凝聚力的影响。我们使用美国范围内的开放城市形态数据集来表征适合步行的城市设计，并使用了一个开放式调查数据集来衡量美国六个城市的凝聚力和人口统计数据，总样本量为 9670。我们利用偏最小二乘结构方程建模进行统计分析。我们发现，控制人口统计数据，土地利用多样性对社会凝聚力有显著的积极影响。我们还发现，物理密度、社会密度和交通连通性对凝聚力有显著的负面影响，尽管这种关联主要是由城市中非常密集的社区驱动的。这些发现揭示了建筑环境的不同理论，为对建筑环境的社会影响感兴趣的设计师、工程师和政策制定者提供了见解。
【doi】
10.1016/j.scs.2023.104903
【作者信息】
AndrewSonta
XiaofanJiang, 哥伦比亚大学电气工程系智能与互联系统实验室
论文39
Supporting virtual power plants decision-making in complex urban environments using reinforcement learning
使用强化学习支持复杂城市环境中的虚拟发电厂决策
【摘要】
Virtual Power Plants (VPPs) are becoming popular for managing energy supply in urban environments with Distributed Energy Resources (DERs). However, decision-making for VPPs in such complex environments is challenging due to multiple uncertainties and complexities. This paper proposes an approach that optimizes decision-making for VPPs using Reinforcement Learning (RL) in urban environments with diverse supply-demand profiles and DERs. The approach addresses challenges related to integrating renewable energy sources and achieving energy efficiency. An RL-based VPP system is trained and tested under different scenarios, and a case study is conducted in a real-world urban environment. The proposed approach achieves multi-objective optimization by performing actions such as load-shifting, demand offsetting, and providing ancillary services in response to demand, renewable generators, and market signals. The study validates the effectiveness and robustness of the proposed approach under complex environmental conditions. Results demonstrate that the approach provides optimized decisions in various urban environments with different available resources and supply-demand profiles. This paper contributes to understanding the use of RL in optimizing VPP decision-making and provides valuable insights for policymakers and practitioners in sustainable and resilient cities.
【摘要翻译】
虚拟发电厂（VPP）在利用分布式能源（DER）管理城市环境中的能源供应方面越来越受欢迎。然而，由于多重不确定性和复杂性，VPP在如此复杂的环境中的决策仍有一定的问题。本文提出了一种在具有不同供需概况和DER的城市环境中使用强化学习（RL）优化VPP决策的方法。该方法解决了与整合可再生能源和实现能源效率有关的问题。基于RL的VPP系统在不同场景下进行训练和测试，并在真实世界的城市环境中进行案例研究。所提出的方法通过执行负载转移、需求抵消以及提供辅助服务以响应需求、可再生能源发电机和市场信号等操作来实现多目标优化。该研究验证了所提方法在复杂环境条件下的有效性和稳健性。结果表明，该方法在具有不同可用资源和供需状况的各种城市环境中提供了优化决策。本文有助于理解RL在优化VPP决策中的应用，并为可持续和韧性城市的政策制定者和从业者提供有价值的见解。
【doi】
10.1016/j.scs.2023.104915
【作者信息】
ChengyangLiu, 墨尔本皇家墨尔本理工大学物业、建筑与项目管理学院太阳能应用实验室RebeccaJing Yang, 墨尔本皇家墨尔本理工大学物业、建筑与项目管理学院太阳能应用实验室
XinghuoYu, 墨尔本皇家理工大学工程学院
ChaynSun, 墨尔本皇家理工大学工程学院
GaryRosengarten
ArielLiebman
RonWakefield
Peter SPWong, 墨尔本皇家墨尔本理工大学物业、建筑与项目管理学院太阳能应用实验室
KaigeWang,墨尔本皇家墨尔本理工大学物业、建筑与项目管理学院太阳能应用实验室
论文40
Data-driven analysis and integrated modeling of climate change impacts on coastal groundwater and sanitary sewer infrastructure
气候变化对沿海地下水和下水道基础设施影响的数据驱动分析和综合建模
【摘要】
The variation of the coastal groundwater table and the vulnerability of sanitary sewer infrastructure under a changing climate is considered for Imperial Beach (CA, USA) by incorporating the compound impacts of Sea-Level Rise (SLR), groundwater shoaling, and precipitation intensification. For 2m of SLR, marine inundation is expected to impact only 2% of the urbanized area; however, SLR-driven groundwater shoaling is projected to impact 36% of the subterranean sewer system. Due to GroundWater Infiltration (GWI) and Rainfall-Derived Inflow and Infiltration (RDII), the sanitary sewage flow increases by 21% and 49% during dry- (i.e., consecutive days without precipitation) and wet-weather conditions (i.e., 24-hour rainfall with a 25-year return period), respectively. At SLR = 2 m, defect flows (GWI + RDII) can be elevated by 84% and 120% in dry- and wet-weather conditions, respectively. Such elevated hydraulic loads may place $0.5−$2.7 M additional cost on the collection system and treatment facilities every year. Moreover, pressurized junctions due to the above-mentioned hydraulic loading are likely to expose the community and the environment to raw sewage pollution. By involving structural, hydrological, and hydraulic criteria, a holistic approach is presented and implemented for prioritizing sewer system rehabilitation.
【摘要翻译】
帝国海滩（美国加利福尼亚州）考虑了海平面上升（SLR）、地下水浅滩和降水加剧的复合影响，考虑了气候变化下沿海地下水位的变化和卫生下水道基础设施的脆弱性。对于2米的SLR，海洋淹没预计仅影响2%的城市化地区；然而，SLR驱动的地下水浅滩预计将影响36%的地下下水道系统。由于地下水渗透（GWI）和降雨源流入和渗透（RDII），在干旱（即连续几天没有降水）和潮湿天气条件下（即24小时降雨，25年回流期），生活污水流量分别增加了21%和49%。在SLR = 2 m时，在干燥和潮湿天气条件下，缺陷流（GWI + RDII）分别升高84%和120%。这种升高的水力负荷每年可能会给收集系统和处理设施带来0.5-2.7百万美元的额外成本。此外，由于上述水力负荷而加压的交汇点可能会使社区和环境暴露于原始污水污染中。通过结构、水文和水力标准，提出并实施了优先考虑下水道系统修复的整体方法。
【doi】
10.1016/j.scs.2023.104914
【作者信息】
无
论文41
Driving sustainable urban development: Exploring the role of small-scale organic urban agriculture in Bogotá, Colombia: A case study
推动可持续城市发展：探索哥伦比亚波哥达小规模有机城市农业的作用：案例研究
【摘要】
The ongoing climate crisis, coupled with contemporary factors, starkly underscores the global vulnerability of food systems and the pressing need for adaptive approaches. Urban agriculture emerges as a multifaceted remedy for production, sustainability, and communal well-being. This study probes the role of small-scale organic urban agriculture in driving sustainable urban development through a focused case study. Essential markers of sustainable agro-production effectiveness take center stage.
The research scrutinizes yield and productivity within a rooftop agri-food framework spanning eleven months. A collective of 336 vegetables were reaped, yielding an impressive 82.1% relative yield. Standout performers, including lettuce, arugula, and mizuna, achieved a relative yield of 4.1kg/m2, comfortably situated within the 2.1–16 kg/m2 spectrum. This yield potential remains sensitive to intricate agronomic and environmental variables. The innovative potential extends to conferring food autonomy upon 11,553 families via 432 projects within Bogota.In conclusion, this research highlights the importance of small-scale organic urban agriculture as a viable approach to sustainable development in urban areas. The results contribute to the existing knowledge on yield and productivity indicators in sustainable agro-production systems, providing valuable insights for policymakers, urban planners, and public and private organizations.
【摘要翻译】
持续的气候危机与当代因素，鲜明地凸显了粮食系统的全球脆弱性和对适应方法的迫切需要。都市农业是生产、可持续性和公共福祉的多方面补救措施。本研究通过重点案例研究探讨了小规模有机城市农业在推动可持续城市发展中的作用。可持续农业生产效率的基本标志占据了中心位置。该研究在为期11个月的屋顶农业食品框架内仔细检查了产量和生产力。共收获336种蔬菜，相对产量高达82.1%。表现突出的植物，包括生菜、芝麻菜和水菜，实现了4.1 kg/m2的相对产量，最佳种植密度在 2.1-16 kg/m2范围内。这种产量潜力对复杂的农艺和环境变量仍然表现较为脆弱。这种创新潜力影响了波哥大的432个项目中的11553个家庭中的食物自主权。总之，这项研究强调了小规模有机城市农业作为城市地区可持续发展的可行方法的重要性。研究结果有助可持续农业生产系统中产量和生产力指标的现有知识的建树，为政策制定者、城市规划者以及公共和私人组织提供有价值的见解。
【doi】
10.1016/j.scs.2023.104919
【作者信息】
无
论文42
Carbon dioxide reduction from an intensive green roof through carbon flux observations and energy consumption simulations
通过碳通量观测和能源消耗模拟密集绿色屋顶的二氧化碳减量
【摘要】
Green roofs have the potential to reduce carbon dioxide directly through photosynthesis and indirectly through building energy savings. Most previous studies either focused exclusively on the direct or indirect CO2reduction of GRs, resulting in an incomplete assessment. A comprehensive assessment of the CO2 reduction potential of GRs would aid in promoting their use ascarbon credits in the carbon trading market. This study quantifies the total CO2 reductions from a newly built intensive green roof with yearlong carbon flux observations and building energy simulations. Our results indicate that direct and indirect carbon reductions from IGR significantly differ, with the monthly direct and indirect CO2reduction ratio ranging from 1:5 to 1:130. Direct and indirect CO2 reduction exhibits significant seasonal trends, with peak direct reduction in autumn and peak indirect reduction in summer. Overall, the total annual CO2 reduction from this IGR system is 4355.6 g CO2·m−2, of which 46.6 g CO2·m−2and 4309 g CO2·m−2were direct and indirect, respectively. Further research should evaluate the long-term integrated carbon reduction over the life cycle of the GRs. The findings of this study could provide evidence to leverage GRs as a nature-based solution to achieve net-zero carbon emissions.
【摘要翻译】
绿色屋顶有可能通过光合作用直接减少二氧化碳，并通过建筑节能间接减少二氧化碳。以前的大多数研究只关注GRs中直接或间接二氧化碳的减少，从而导致评估不完整。对《公司条例》的全面评估发现二氧化碳的减排潜力将有助于促进其在碳交易市场中作为碳信用额的使用。本研究通过为期一年的碳通量观测和建筑能源模拟，量化了二氧化碳从新建的密集绿色屋顶的减少总量。结果表明，IGR的直接和间接碳减排量存在显著差异，每月直接和间接二氧化碳的减少量减速比从1：5到1：130变化。直接和间接二氧化碳减少量呈显著的季节性趋势，秋季直接减少峰值，夏季间接减少峰值。总体而言，IGR系统中的二氧化碳减少少总量的减排量为4355.6 g CO2·m−2，其中46.6gCO2·m−2和4309gCO2·m−2分别是直接和间接的。接下来的研究应评估GRs生命周期内的长期综合碳减排。这项研究的结果可以为利用遗传资源作为基于自然的解决方案来实现净零碳排放提供证据。
【doi】
10.1016/j.scs.2023.104913
【作者信息】
ShaoqiYang, 南京大学地理与海洋科学学院
FanhuaKong, 南京大学地理与海洋科学学院
HaiweiYin, 南京大学建筑与城市规划学院
NingZhang, 南京大学大气科学学院
TaotaoTan, 南京大学地理与海洋科学学院
ArianeMiddel
HongqingLiu, 南京大学地理与海洋科学学院
论文43
Sustainable cycle-tourism for society: Integrating multi-criteria decision-making and land use approaches for route selection
社会可持续循环旅行：整合多标准决策和土地利用方法进行路线选择
【摘要】
Cycle tourism is a sustainable active vacation, which is quickly growing in recent years. Although it has several benefits for society and users (e.g., social connections, amusement, and physical and mental health), cycle tourism requires an adequate route network to enjoy destinations with historical and landscape peculiarities. Past literature mainly investigated motivations and preferences for cycle tourists and proposed optimisation methods in planning routes. However, applying assessment methods for prioritising cycle-tourist routes is a seldom-explored topic. This study aims to address this gap by applying an integrated method for evaluating and prioritising cycle routes, searching for a compromise between route characteristics, service provided to users, and natural and building contexts crossed. It jointly includes Multi-Criteria Decision Methods (MCDMs) and a land use approach: AHP determines the weights of criteria and parameters describing cycle routes; GIS elaborates spatial analysis of parameters; ELECTRE I and VIKOR help find a compromise solution amongst different cycle routes. The integrated method involved a panel of experts to collect data, and it is applied to the wide-study area of Franciacorta (Italy). Some comparisons with other MCDMs are made to justify the results. The findings could support multi-institutions prioritising cycle route alternatives in deciding their building.
【摘要翻译】
自行车旅游作为一种可持续的假期活动，近年来发展迅速。虽然它对社会和用户有许多好处（例如，社会关系、娱乐和身心健康），但自行车旅游需要足够的路线网络来体验具有历史和景观特色的目的地。过去的文献主要调查了自行车游客的动机和偏好，并提出了规划路线的优化方法。然而，应用评估方法来确定自行车旅游路线的优先级却很少在研究中被涉及。本研究旨在通过应用综合方法来评估和优先考虑自行车路线，在路线特征、为用户提供的服务以及穿越的自然和建筑环境之间寻求折衷，从而解决这一差距。它包括多标准决策方法（MCDM）和土地利用方法：AHP确定描述自行车路线的标准和参数的权重；GIS详细阐述了参数的空间分析；ELECTRE I和VIKOR帮助在不同的自行车路线之间找到折衷的解决方案。综合方法以一个专家小组来收集数据，并应用于Franciacorta（意大利）的广泛研究区域。与其他MCDM进行了一些比较，以证明结果的合理性。研究结果可以支持多机构在决定其建筑时优先考虑自行车路线替代方案。
【doi】
10.1016/j.scs.2023.104905
【作者信息】
无
论文44
Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
基于灾害滋生环境聚类和贝叶斯优化深度学习模型的沿海城市洪涝快速预测
【摘要】
Rapid prediction of urban flood is essential for sustainable city and society development. The data-drivendeep learning model is commonly adopted for flood prediction, but it rarely considers the physical causes of flooding. In the study, we proposed an urban flood prediction model based on K-means cluster and Bayesian optimized deep learning algorithm. The K-means cluster algorithm was utilized for classifying the study area into different flooding cause clusters based on disaster-bearing environment factors. The gradient boosting decision tree (GBDT) algorithm was adopted to establish the prediction model for the areas with the same flooding cause. Furthermore, to improve the model accuracy, the study explored Bayesian algorithm to optimize GBDT model's hyperparameters. The proposed model was verified in the area of Haikou, China. Elevation, slope, density of pipe network, distance to the river and curvature were selected as the disaster-bearing environment factors, and the study area was classified into 3 clusters using K-means cluster based on these factors. Different GBDT models were established for each cluster, then Bayesian algorithm was used to optimize the six hyperparameters in the models. The second cluster of area is close to the sea, so the hazard degree of tide level is added when building the GBDT model. The Nash-Sutcliffe efficiency coefficient (NSE) of K-means-GBDT models for three clusters are 0.9628, 0.9580 and 0.9914 respectively, indicating the excellent performance of the proposed model. In comparison to the GBDT model without clustering, the cluster 2 has the highest accuracy improvement, with the NSE improving from 0.8951 to 0.9580. Furthermore, when making predictions using all available data for the whole study area, the NSE of the K-means-GBDT models increased from 0.9361 to 0.9761 compared to the GBDT model without clustering. The proposed model was validated for its applicability and effectiveness in rapid prediction of urban flood, and can provide support for flood control and quick response.
【摘要翻译】
快速预测城市洪水对于可持续城市和社会发展至关重要。数据驱动的深度学习模型通常用于洪水预测，但它很少考虑洪水的物理原因。在研究中，我们提出了一种基于K均值聚类和贝叶斯优化深度学习算法的城市洪水预测模型。采用K均值聚类算法，根据灾害环境因子将研究区域划分为不同的洪涝成因聚类。采用梯度提升决策树（GBDT）算法建立相同洪涝成因区域的预测模型。此外，为了提高模型的准确性，该研究探索了贝叶斯算法来优化GBDT模型的超参数。所提出的模型在中国海口地区进行了验证。选取高程、坡度、管网密度、到河流的距离和曲率作为灾害环境因子，基于这些因子利用K-means聚类将研究区划分为3个聚类。为每个聚类建立不同的GBDT模型，然后使用贝叶斯算法对模型中的6个超参数进行优化。第二个区域群靠近大海，因此在构建GBDT模型时增加了潮位的危害程度。3个聚类的K均值-GBDT模型的纳什-萨特克利夫效率系数（NSE）分别为0.9628、0.9580和0.9914，表明所提模型具有优异的性能。与没有聚类的 GBDT 模型相比，聚类2的精度改进最高，NSE 从 0.8951 提高到0.9580。此外，当使用整个研究区域的所有可用数据进行预测时，与没有聚类的GBDT模型相比，K-means-GBDT模型的NSE从0.9361增加到0.9761。验证了所提模型在城市洪水快速预测中的适用性和有效性，可为防洪和快速响应提供支撑。
【doi】
10.1016/j.scs.2023.104898
【作者信息】
HuiliangWang, 郑州大学水利与交通学院黄河实验室
ShanlunXu, 郑州大学水利与交通学院黄河实验室
HongshiXu, 郑州大学水利与交通学院黄河实验室,
ZeningWu, 郑州大学水利与交通学院黄河实验室
TianyeWang, 郑州大学水利与交通学院黄河实验室
ChaoMa, 天津大学水利工程仿真与安全国家重点实验室
论文45
Solar energy harvesting from the photovoltaic/thermal (PV/T) pavement: Energy performance analyses and comparison considering ground influence
光伏/热（PV/T）路面的太阳能收集：考虑地面影响的能源性能分析和比较
【摘要】
Under the carbon neutrality targets, the easy-installation low-investmentphotovoltaic (PV) technology is vital, while the limited urban rooftop area and high building façade cost limit the onsite PV installation. Thus, harvesting solar energy from the road, namely pavement-integrated photovoltaic/thermal (PIPV(T)) technology, is promising. The 2D finite element PIPV(T) models are proposed and verified through the field test within 3% (cell temperature) and 7% (PV output) mean absolute percentage error. The parametric analyses on system designs (water tank volume, water velocity, water inlet temperature), weather conditions (solar irradiance, wind velocity), and ground boundary condition influence are conducted. The water inlet temperature acts as a minor factor, while tank volume and fluid velocity are crucial, i.e., a 32.76% thermal efficiency increase for a 125 L tank volume increase. Results show that over 0.2 L/s water flow rate is recommended for a 100 L water tank, and the solar irradiance increase adds to the thermal efficiency to 41.47% under 1000 W/m2 with 11.38% ground influence. The annual system performances for southern and northern metropolises are compared, with water tank variation considered. Results show that a small water tank leads to high temperature and low system thermal efficiency at 9.3% and 12.17% in Hong Kong and Beijing.
【摘要翻译】
在碳中和目标下，易于安装的低投资光伏（PV）技术至关重要，而有限的城市屋顶面积和高昂的建筑立面成本限制了现场光伏安装。因此，从道路上收集太阳能，即路面一体化光伏/热能（PIPV（T））技术，是最有潜力的。本文提出二维有限元PIPV（T）模型，并通过现场测试验证了平均绝对百分比误差在2%（电池温度）和3%（光伏输出）内。对系统设计（水箱容积、水速、进水口温度）、天气条件（太阳辐照度、风速）和地面边界条件影响进行参数分析。进水温度是一个次要因素，而水箱容积和流体速度至关重要，即 7 升水箱容积能够增加32.76%的热效率。结果表明：125 L水箱建议水流量超过0.2 L/s，太阳辐照度增加使100 W/ m2下的热效率提高到41.47%，地面影响力为11.38%。比较了南部和北部大都市的年度系统性能，并考虑了水箱的变化。结果表明，小水箱导致高温和低系统热效率，在香港和北京分别为9.3%和12.17%。
【doi】
10.1016/j.scs.2023.104895
【作者信息】
YijieZhang, 香港理工大学建筑环境及能源工程学系可再生能源研究小组
TaoMa,上海交通大学机械工程学院太阳能与制冷教育部工程研究中心
HongxingYang, 香港理工大学建筑环境及能源工程学系可再生能源研究小组
SunliangCao, 香港理工大学建筑环境及能源工程学系可再生能源研究小组
YuhongWang, 香港理工大学土木及环境工程系
论文46
Green Certificate-Driven Photovoltaic Promotion in Distribution Networks Hosting Hydrogen Fueling Stations for Future Sustainable Transportation: A Risk-Adjusted Dominance Analysi
未来可持续交通加氢站配电网中的绿色资质驱动光伏推广：风险调整优势分析
【摘要】
The growing number of hydrogen vehicles (HVs) has necessitated the development of hydrogen fueling stations (HFSs) to meet the hydrogen demand. This development will target environmental concerns related to electricity generation as HFSs consume power to convert electricity into hydrogen. This study focuses on the optimal risk-aware scheduling problem of a distributed network highly penetrated with photovoltaic (PV) resources. The model addresses the optimal operation of HFs under time-of-use, demand response, and multi-market mechanisms with an expanded role for PV generation under the green certificate (GCT) approach. This brings further environmental and economic benefits, as there is a growing global emphasis on the shift to a low-carbon economy. However, the uncertainties arising from PV operation, HVs’ demand, electricity load, and market prices, potentially affect the decision-maker's ability under the risky conditions. Though second-order stochastic dominance (STD) is implemented for risk management. Results show that applying the GCT method increases 5% (from 0.52 to 0.61 MW) of renewable generation and reduces 23% (300 kg) of CO2 emissions. As the conservativity of decision-makers enhances, 10% of further operation costs are imposed on the system. Results indicate that next to curbing CO2 emissions, the flexibility and robustness of the system can be improved.
【摘要翻译】
随着氢燃料汽车 （HV） 数量的增加，有必要开发加氢站（HFS）以满足氢气需求。由于HFS消耗电力将电力转化为氢气，因此这一开发将产生与发电相关的环境问题。本研究着眼于光伏资源高度渗透的分布式网络风险感知调度的最优问题。该模型解决了高频在使用分时、需求响应和多市场机制下的优化运行，并在绿色证书（GCT）方法下扩大了光伏发电的作用。这带来了进一步的环境和经济效益，因为全球越来越重视向低碳经济的转变。然而，光伏运行、高压汽车需求、电力负荷和市场价格带来的不确定性可能会影响决策者在风险条件下的能力。尽管二阶随机优势 （STD） 用于风险管理。结果表明，应用GCT方法可增加5%（从0.52到0.61 MW）的可再生能源发电量，并减少23%（300 kg）的二氧化碳排放量。随着决策者的保守性增强，10%的进一步运营成本被强加给系统。结果表明，除了遏制二氧化碳排放外，该系统的灵活性和鲁棒性还可以得到提高。
【doi】
10.1016/j.scs.2023.104911
【作者信息】
XiaoqiangGUO, 西南石油大学 机电工程学院
XiaoLI, 西南石油大学 机电工程学院
论文47
Multiagent deep meta reinforcement learning for sea computing-based energy management of interconnected grids considering renewable energy sources in sustainable cities
多智能体深度元强化的海洋计算研究：基于可持续城市中的可再生能源的互联电网能源管理的
【摘要】
In a sustainable city with a large amount of renewable energy, the difficulty inherent in the coordination of the load frequency control strategies of grid units and area units lead to severe frequency fluctuations. Conventional load frequency control has difficulty overcoming the above problems due to its lack of adaptive control ability and robustness. To overcome this problem, this paper proposes a sea computing-based grid-area coordinated load frequency control (SCGAC-LFC) method, which equates each grid unit and area unit in each area as independent agents. Instead of different units relying on different strategies, all units collectively obtain the LFC policy that suits the market requirements. In its online application, no communication is needed since each unit can arrive at its own decision. In addition, this paper proposes a curriculum multiagent deep meta-actor-critic (CMA-DMAC) algorithm, which introduces meta-reinforcement learning and curriculum learning to guide the agent training to improve the robustness and quality of the obtained SCGAC-LFC strategies. Using a simulation of the four-area LFC model for the China Southern Grid (CSG), our proposed method carries significantly lower frequency error and regulation mileage payment.
【摘要翻译】
在可再生能源量大的可持续发展城市中，电网单元和区域单元的负荷频率控制策略协调固有的困难导致严重的频率波动。传统的负载频率控制由于缺乏自适应控制能力和鲁棒性，难以克服上述问题。针对这一问题，该文提出一种基于海计算的网区协调负荷频率控制（SCGAC-LFC）方法，将各区各网单元和面积单元等同于独立代理。并非不同的单位依靠不同的策略，而是所有单位共同获得适合市场需求的LFC政策。在其在线应用程序中，不需要沟通，因为每个单元都可以做出自己的决定。此外，该文还提出了一种课程多智能体深度元行动者-批评者（CMA-DMAC）算法，该算法引入元强化学习和课程学习来指导智能体训练，以提高所获得的SCGAC-LFC策略的鲁棒性和质量。通过模拟中国南方电网（CSG）的四区域LFC模型，我们提出的方法有着较低的频率误差和调节里程支付。
【doi】
10.1016/j.scs.2023.104917
【作者信息】
JiawenLi, 上海电力学院 电子与信息工程学院
TaoZhou, 上海电力学院 电子与信息工程学院
论文48
Coupling effect between waste heat recovery and government subsidy with supply chain as a pivot
以供应链为支点的余热回收与政府补贴的耦合效应
【摘要】
Waste heat recovery emerges as a promising solution for addressing energy shortages and environmental pollution. However, its viability is hampered by high operational expenses, formidable technical barriers, and substantial capital requirements, rendering it economically daunting without government support. A considerable volume of underutilized low-grade waste heat persists, and viable commercial solutions are wanting. In response, we propose two waste heat recovery modes. One involves entrusting distributors to collectively engage in waste heat recovery alongside suppliers who directly recover waste heat, called Supper-Distributor (SD) mode. The other emphasizes suppliers focusing on their core products while entrusting distributors and specialized third-party waste heat recovery companies to collaboratively manage waste heat recovery, with the aim of fostering waste heat recovery proliferation and expanding its market scope, called Third-party-Distributor (TD) mode. Numerical analysis based on real-world data substantiates the pivotal roles of government subsidies, supply chain decision-making, and the market dimensions of waste heat recovery in the profitability of the waste heat recovery supply chain. Following optimization of both modes, we conclude that the cost of recovered waste heat is lower than that of electricity for end-users. Furthermore, a waste heat recovery landscape spearheaded by third-party recycling companies outperforms others in terms of energy conservation and emissions reduction.
【摘要翻译】
废热回收成为解决能源短缺和环境污染的有前途的解决方案。然而，高昂的运营费用、强大的技术壁垒和大量资本要求都成为其运行的阻碍，在没有政府支持的情况下，其经济成本令人望而生畏。大量未充分利用的低品位废热持续存在，并且缺乏可行的商业解决方案。对此，我们提出了两种余热回收模式。一种是委托分销商与直接回收废热的供应商一起参与废热回收，称为晚餐分配器（SD）模式。另一种强调供应商专注于其核心产品，同时委托分销商和专门的第三方余热回收公司协同管理废热回收，目的是促进废热回收扩散并扩大其市场范围，称为第三方分销商（TD）模式。基于真实世界数据的数值分析证实了政府补贴、供应链决策以及余热回收的市场维度在余热回收供应链盈利能力中的关键作用。在对两种模式进行优化后，我们得出结论，对于最终用户来说，回收废热的成本低于电力成本。此外，由第三方回收公司牵头的余热回收领域在节能减排方面优于其他公司。
【doi】
10.1016/j.scs.2023.104897
【作者信息】
JingYang, 华南理工大学电子商务系
ZhiyongZhang, 华南理工大学电子商务系
LeiYang, 华南理工大学电子商务系
MingHong, 华南理工大学电子商务系
YuBie, 广州大学土木工程学院建筑节能研究院,
TaoXu, 广州大学土木工程学院建筑节能研究院
JiayuChen, 清华大学土木工程学院建设管理系
论文49
The assessment of cooling capacity of blue-green spaces in rapidly developing cities: A case study of Tianjin's central urban area
快速发展城市蓝绿空间制冷能力评估——以天津中心城区为例
【摘要】
In rapidly developing cities, in addition to the overall change of the climatic background, the fragmented blue-green space and the expanding impervious surface may gradually become the main factors for the deterioration of thethermal environment. The effect of urban blue-green spatial characteristics on cooling cities has been fully explored in existing studies. However, only some studies have analyzed the correlation between urban blue-green spatial characteristics and different types of cooling capacity in rapidly developing cities. In this paper, the cooling capacity in plaque and municipal scale in the existing research is mapped to the neighbourhood scale and the absolute cooling capacity and relative cooling capacity of the blue-green space are estimated in the central urban area of Tianjin during the rapid development of 2001∼2021. At the same time, correlation and random forest analysis were used to quantify the influence of blue-green spatial characteristics on the cooling capacity. The results show that: 1) The cooling capacity of blue-green space in rapidly developing cities has obvious phased characteristics. 2) The explanatory ability of UBGS features for the overall cool environment of the city is relatively stable in the rapid development process. In contrast, the explanatory ability for the cooling ability of the surrounding environment shows a yearly decline. 3) The relative importance of different influencing factors on the cooling capacity of UBGS is reflected as compositional features>configuration features>blue-green spatial relationship, and the other factors have a large difference in the performance of other indicators in different years. These results can further improve the cooling capacity of urban blue-green spaces. For rapidly developing cities with intensified fragmentation, the classification of cooling capacity in limited space is significant for improving the city's overall thermal comfort.
【摘要翻译】
在快速发展的城市中，除了气候背景的整体变化外，支离破碎的蓝绿空间和不断扩大的不透水面可能逐渐成为热环境恶化的主要因素。城市蓝绿空间特征对城市降温的影响已在现有研究中得到充分探索。然而，只有部分研究分析了快速发展城市中城市蓝绿空间特征与不同类型制冷能力之间的相关性。本文将现有研究中斑块和市级的制冷量映射到邻域尺度，并估算了2001∼2021年天津中心城区快速发展期间蓝绿空间的绝对制冷量和相对制冷量。同时，采用相关性和随机森林分析法量化蓝绿空间特征对制冷量的影响。结果表明：1）快速发展城市蓝绿空间制冷量具有明显的阶段性特征;2）UBGS特征对城市整体凉爽环境的解释能力在快速发展过程中相对稳定。相比之下，对周围环境冷却能力的解释能力呈逐年下降趋势。3）不同影响因素对UBGS制冷量的相对重要性表现为组成特征>配置特征>蓝绿空间关系，其他因素在不同年份其他指标的性能上存在较大差异。这些结果可以进一步提高城市蓝绿空间的制冷能力。对于快速发展、碎片化加剧的城市，对有限空间内的制冷量进行分类对于提高城市整体热舒适度具有重要意义。
【doi】
10.1016/j.scs.2023.104918
【作者信息】
FeiYang, 天津大学建筑学院
RasoulYousefpour
YingZhang, 天津大学建筑学院
HongchengWang, 天津大学建筑学院
论文50
Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration
夜间动态活力的区域建模：基于机器学习的城市更新分析框架
【摘要】
Enhancing vibrant areas at nighttime (VAN) is important for promoting urban regeneration. However, the process simulation of the potential impact of urban renewal initiatives on VANs has yet to achieve complete coupling with population mobility, economy, and land utilization. In this study, we developed a simulation framework to simulate the changes in VANs and reveal their potential interconnection with urban regeneration strategies. The research methods involved the use of overlaying multiple data sources, including satellite imagery, thermal and land use maps, and point of interest data, to obtain a collection of nightlife activities in Mianyang City. We were able to identify and grade VANs based on multisource big data, providing support for urban renewal planning, as well as determine the key driving factors and configuration patterns of environmental elements that impact VAN. We also developed a machine learning-based predictive model for urban regeneration and VAN redevelopment. These results show that a vibrant nightlife can be used to regenerate dilapidated urban areas, thus reducing urbanization. Moreover, the simulation method developed in this study has wide applicability in other regions for identifying potential improvements and guiding investment andrevitalization efforts in a targeted and effective manner.
【摘要翻译】
增强夜间活力区域（VAN）对于促进城市更新非常重要。然而，城市更新举措对VAN的潜在影响的过程模拟尚未实现与人口流动性，经济性和土地利用的完全耦合。在这项研究中，我们开发了一个模拟框架来模拟VAN的变化，并揭示它们与城市更新策略的潜在相互联系。研究方法涉及使用叠加多个数据源，包括卫星图像、热力和土地利用地图以及兴趣点数据，以获得绵阳市夜生活活动的集合。我们能够根据多源大数据识别和分级VAN，为城市更新规划提供支持，并确定影响VAN的环境要素的关键驱动因素和配置模式。我们还为城市更新和VAN重建开发开发了一个基于机器学习的预测模型。这些结果表明，充满活力的夜生活可用于再生破旧的城市地区，从而减少城市化。此外，本研究开发的模拟方法在其他地区具有广泛的适用性，能够识别潜在的提升，并有针对性地、有效地指导投资和振兴工作。
【doi】
10.1016/j.scs.2023.104920
【作者信息】
Man JiangShi, 西南科技大学 土木建筑系
QiCao, 西南科技大学 土木建筑系
Antonvan Rompaey
MoqiaoPu,西南科技大学 土木建筑系
BaisongRan, 西南科技大学 土木建筑系
论文51
Look-ahead scheduling of energy-water nexus integrated with Power2X conversion technologies under multiple uncertainties
多重不确定性下集成Power2X转换技术的能源和水资源关系前瞻调度
【摘要】
Co-optimizing energy and water resources in a microgrid can increase efficiency and improve economic performance. Energy-water storage (EWS) devices are crucial components of a high-efficient energy-water microgrid (EWMG). The state of charge (SoC) at the end of the first day of operation is one of the most significant variables in EWS devices since it is used as a parameter to indicate the starting SoC for the second day, which influences the operating cost for the second day. Hence, this paper examines the benefits and applicability of a look-ahead optimization strategy for an EWMG integrated with multi-type energy conversion technologies and multi-energy demand response to supply various energy-water demands related to electric/hydrogen vehicles and commercial/residential buildings with the lowest cost for two consecutive days. In addition, a hybrid info-gap/robust optimization technique is applied to cover uncertainties in photovoltaic power and electricity prices as a tri-level optimization framework without generating scenarios and using the probability distribution functions. Duality theory is also used to convert the problem into a single-level MILP so that it can be solved by CPLEX. According to the findings, the implemented energy-water storage systems and look-ahead strategy accounted for, respectively, 4.03% and 0.43% reduction in the total cost.
【摘要翻译】
在微电网中共同优化能源和水资源可以提高效率并提高经济效益。能量-水存储（EWS）设备是高效能源-水微电网（EWMG）的重要组成部分。第一天操作结束时的充电状态（SoC）是EWS设备中最重要的变量之一，因为它用作指示第二天启动SoC的参数，这会影响第二天的运营成本。因此，本文研究了集成多类型能量转换技术和多能源需求响应的EWMG前瞻优化策略的益处和适用性，连续两天以最低的成本满足与电动/氢能汽车和商业/住宅建筑相关的各种能源水需求。此外，应用混合信息间隙/鲁棒优化技术作为三级优化框架，在不生成场景和使用概率分布函数的情况下，覆盖光伏发电和电价的不确定性。对偶理论也用于将问题转换为单级MILP，以便通过CPLEX求解。调查结果显示，实施的储能系统和前瞻战略的总成本分别降低了4.03%和0.43%。
【doi】
10.1016/j.scs.2023.104902
【作者信息】
无