How to quantify the cooling effects of green infrastructure strategies from a spatio-temporal perspective: Experience from a parametric study

城市热岛 环境科学 绿色基础设施 透视图(图形) 计算机科学 被动冷却 参数统计 热舒适性 绿色屋顶 环境经济学 环境资源管理 建筑工程 环境规划 热的 气象学 屋顶 土木工程 地理 数学 统计 人工智能 工程类 经济
作者
Wanlu Ouyang,Tobi Eniolu Morakinyo,Yilin Lee,Zheng Tan,Chao Ren,Edward Ng
出处
期刊:Landscape and Urban Planning [Elsevier]
卷期号:237: 104808-104808 被引量:23
标识
DOI:10.1016/j.landurbplan.2023.104808
摘要

Urban green infrastructures (GI) are efficient nature-based solutions for urban heat mitigation. Typically, three GI typologies, i.e., green roof, green wall, and street tree, are often recommended and implemented for outdoor thermal comfort modification and passive energy saving. However, the current evaluation of the cooling effects for GI strategies is not comprehensive for two reasons: 1) lacking a holistic assessment to involve different combinations of GI typologies; 2) lacking a spatio-temporal lens to quantify the cooling effects. This study proposes a systematic approach to quantify the cooling effects of GI strategies from a spatio-temporal perspective. Through a parametric study in ENVI-met model, the cooling effect of seven GI strategies were quantified, and different street orientations and sky view factor (SVF) were also involved. Three cooling indicators were proposed for different sustainable planning targets: cooling intensity (CI), cooling area (CA), and cooling duration (CD). The results showed that the seven GI strategies performed differently under various urban morphologies. The greatest cooling effect of GI strategies was observed at SVF = 0.7, after which additional strategies may be needed for urban heat mitigation. Three proposed indicators were found to show similar patterns across the GI strategies, but revealed the details of cooling effects differently. Overall, this study represents the first assessment of the cooling effects of seven GI strategies across different morphological settings. The evidence-based understanding contributed by this study can help planners and designers to optimize the thermal environment in subtropical climate. The systematic approach from a spatio-temporal lens can be transferred to other cities and climate backgrounds.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ReiceChen发布了新的文献求助10
刚刚
CodeCraft应助iu采纳,获得10
1秒前
1秒前
慕青应助o10采纳,获得10
1秒前
1秒前
YUN发布了新的文献求助10
2秒前
yu001完成签到,获得积分10
2秒前
今后应助秋声采纳,获得10
2秒前
Akim应助静待花开采纳,获得10
2秒前
科目三应助xf采纳,获得10
2秒前
Akim应助wxq采纳,获得10
2秒前
2秒前
2秒前
潇潇微雨发布了新的文献求助30
2秒前
3秒前
少年与梦发布了新的文献求助10
3秒前
3秒前
科研通AI5应助甘地采纳,获得100
3秒前
sxp1031发布了新的文献求助10
3秒前
3秒前
4秒前
bkagyin应助msl2023采纳,获得10
4秒前
听白完成签到,获得积分10
4秒前
Morpheus完成签到,获得积分10
5秒前
6秒前
6秒前
刘炜发布了新的文献求助10
6秒前
Jasper应助anderson采纳,获得10
6秒前
慌张发布了新的文献求助10
6秒前
顾矜应助夏夏子采纳,获得10
7秒前
英俊的铭应助guozizi采纳,获得10
7秒前
SciGPT应助EwhenQ采纳,获得10
7秒前
传奇3应助Gentleman采纳,获得10
7秒前
秋林发布了新的文献求助10
7秒前
留胡子的邑完成签到,获得积分10
8秒前
8秒前
rd完成签到 ,获得积分10
8秒前
明亮寻绿发布了新的文献求助10
8秒前
媛LZ给媛LZ的求助进行了留言
8秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Theory of Block Polymer Self-Assembly 750
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3514238
求助须知:如何正确求助?哪些是违规求助? 3096520
关于积分的说明 9232276
捐赠科研通 2791605
什么是DOI,文献DOI怎么找? 1531992
邀请新用户注册赠送积分活动 711720
科研通“疑难数据库(出版商)”最低求助积分说明 706999