Separate and combined impacts of building and tree on urban thermal environment from two- and three-dimensional perspectives

树(集合论) 比例(比率) 环境科学 维数(图论) 卫星 3D城市模型 地理 自然地理学 气象学 气候学 环境资源管理 计算机科学 地图学 地质学 数学 工程类 可视化 数据挖掘 数学分析 航空航天工程 纯数学
作者
Jike Chen,Wenfeng Zhan,Shuanggen Jin,Wenquan Han,Peijun Du,Junshi Xia,Jiameng Lai,Jiufeng Li,Zihan Liu,Long Li,Fan Huang,Hu Ding
出处
期刊:Building and Environment [Elsevier]
卷期号:194: 107650-107650 被引量:27
标识
DOI:10.1016/j.buildenv.2021.107650
摘要

Separate impacts of building and tree on the urban thermal environment have been studied extensively, but their combined impacts, especially from both the horizontal (i.e., two-dimensional (2D)) and vertical (i.e., three-dimensional (3D)) perspectives remain largely unclear. Based on satellite thermal data and elaborate 2D and 3D urban morphology, herein we simultaneously investigate the separate and combined impacts of building and tree over Nanjing in China from both the 2D and 3D perspectives. We further examine the day–night contrast together with the sensitivity of such impacts to scale. Our results show that, when compared with urban structures from a single dimension, the combination of 2D and 3D structures is more capable of predicting urban land surface temperatures (LSTs) for both day and night. The assessments further illustrate that the separate and combined impacts of building and tree on LSTs are usually more significant when the spatial scale increases. As for the separate impacts of building and tree, 2D structure affects more urban thermal environment than 3D structure at all spatial scales during the day, but an opposite trend occurs at night. Moreover, for the combined impact of building and tree on LST across different scales, daytime and nighttime LSTs are respectively dominated by 2D and 3D building structures. Combining 2D and 3D structures improves the explained LST variation by 7.3%–11.1% and 25.3%–37.7% for day and night, respectively when compared to using 2D structures only. These findings emphasize the need to incorporate both 2D and 3D urban morphology to improve the urban thermal environment.

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
asyman完成签到,获得积分20
1秒前
汉堡包应助川上富江采纳,获得10
1秒前
2秒前
2秒前
2秒前
大国完成签到,获得积分10
2秒前
3秒前
假装有昵称完成签到 ,获得积分10
4秒前
李健应助狂野的幻翠采纳,获得10
4秒前
5秒前
蜗牛发布了新的文献求助10
5秒前
温婉的谷菱完成签到,获得积分10
5秒前
彭于晏应助七七采纳,获得10
5秒前
wsq完成签到,获得积分10
5秒前
May发布了新的文献求助10
5秒前
5秒前
今日不再蛇皇应助淡定语采纳,获得20
6秒前
asyman发布了新的文献求助10
6秒前
7秒前
美美完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
大国发布了新的文献求助10
9秒前
Buduan完成签到,获得积分10
9秒前
xiaoyaoyou351发布了新的文献求助10
9秒前
泡泡发布了新的文献求助10
9秒前
sunnyliu发布了新的文献求助10
9秒前
wkjfh应助ifly采纳,获得10
10秒前
sylar完成签到,获得积分10
11秒前
CipherSage应助asyman采纳,获得10
11秒前
浮游应助小C采纳,获得30
11秒前
小姜向阳开应助WeOne采纳,获得10
12秒前
12秒前
狂野的幻翠完成签到,获得积分10
12秒前
34101127发布了新的文献求助10
12秒前
13秒前
11发布了新的文献求助10
13秒前
吕姆克的月壤完成签到,获得积分10
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5653193
求助须知:如何正确求助?哪些是违规求助? 4789427
关于积分的说明 15063229
捐赠科研通 4811788
什么是DOI,文献DOI怎么找? 2574069
邀请新用户注册赠送积分活动 1529802
关于科研通互助平台的介绍 1488465