[1]于琦人,孟飞,*,等.高层住宅区绿化树种对室外热环境影响研究[J].山东建筑大学学报,2018,(06):49-55.[doi:10.12077/sdjz.2018.06.009]
 Yu Qiren,Meng Fei,*,et al.The vegetation influence on outdoor thermal environment of typical high-rise residential areas[J].Journal of Shandong jianzhu university,2018,(06):49-55.[doi:10.12077/sdjz.2018.06.009]
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高层住宅区绿化树种对室外热环境影响研究()
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《山东建筑大学学报》[ISSN:1673-7644/CN:37-1449/TU]

卷:
期数:
2018年06期
页码:
49-55
栏目:
研究论文
出版日期:
2018-12-01

文章信息/Info

Title:
The vegetation influence on outdoor thermal environment of typical high-rise residential areas
文章编号:
1673-7644(2018)06-0049-07
作者:
于琦人1孟飞12*张常旺1
(1.山东建筑大学 测绘地理信息学院,山东 济南 250101;2.华东师范大学 地理信息科学教育部重点实验室,上海 200241)
Author(s):
Yu Qiren1 Meng Fei12* Zhang Changwang1
(1. School of Surveying and Geo-informatics, Shandong Jianzhu University, Jinan 250101, China;2. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China)
关键词:
室外热环境ENVI-met树种降温节能
Keywords:
urban outdoor thermal environment ENVI-met tree species cooling energy saving
分类号:
P237
DOI:
10.12077/sdjz.2018.06.009
文献标志码:
A
摘要:
城市热岛效应引起都市的高温化,降低居住环境的舒适性,而绿化植物能够调节环境温度、增加空气湿度,改善热岛效应。为了探究不同树种对城市热环境的影响,文章采用无人机摄影测量技术和ArcGIS软件对典型高层住宅区进行三维建模,利用ENVI-met模拟了其室外热环境,并与实测的气象数据进行了对比分析,研究了5类常见树种对城市住宅区室外热环境的调节作用。结果表明:对比实测数据与数值模拟结果发现,空气温度与相对湿度的均方根误差分别为0.83 ℃和4.5%,说明模型精度较高,模拟效果良好;5类树种在7∶00~18∶00间的降温和增湿幅度分别在0.06~1.21 ℃和1.99%~7.22%,其中14∶00时梧桐的降温增湿效果最好;不同树种的3D累积节能效益不同,在10∶00~18∶00内,距地面0~2 m处,5类树种3D累积降温幅度为5.16~8.48 ℃,3D累积节能范围为30.92~50.89 kWh。
Abstract:
Urban heat island effect causes urban high temperature and reduces the comfort of living environment, while green vegetation can adjust the environmental temperature and increase air humidity. To explore the impact of different vegetation types on the urban thermal environment, UAV photogrammetry and ArcGIS software are applied to 3D modeling of typical high-rise residential areas in this paper. The outdoor thermal environment is simulated by ENVI-met and compared with the measured meteorological data. The moderating effect of 5 kinds of common tree species on urban microenvironment is studied. The result shows that through the comparison of the measured data and the numerical simulation, the root mean square errors of air temperature and relative humidity are 0.83 ℃and 4.5% respectively, indicating that the precision of the model is higher and the prediction effect is good. The cooling and humidification effects of different tree species are different. From 7∶00 am to 18∶00 pm, the cooling and humidification ranges of the 5 tree species are 0.06 ~ 1.21 °C and 1.99~7.22%, respectively. At 14∶00 in the afternoon, the cooling and humidifying effect of the phoenix tree is the best. The 3D cumulative energy saving benefits of different tree species are different. Under the vertical space of 2 m from the ground, the 3D cumulative cooling and energy saving range of the five tree species are 5.16 ~ 8.48 °C and 30.92~50.89 kWh, respectively.

参考文献/References:

[1]江学顶, 夏北成, 郭泺. 快速城市化区域城市热岛及其环境效应研究[J]. 生态科学, 2006, 25(2):171-175.[2]彭少麟, 周凯, 叶有华,等. 城市热岛效应研究进展[J]. 生态环境, 2005, 14(4):574-579.[3]王帅帅, 陈颖彪, 千庆兰, 等. 城市公园对城市热岛的影响及三维分析-以广州市主城区为例[J]. 生态环境学报, 2014, 23(11):1792-1798.[4]周淑贞, 郑景春. 上海城市太阳辐射与热岛强度[J]. 地理学报, 1991, 7(2):207-212.[5]Meng F, Liu M. Remote-sensing image-based analysis of the patterns of urban heat islands in rapidly urbanizing Jinan, China [J]. International Journal of Remote Sensing, 2013, 34 (24): 8838-8853.[6]Meng F, Shan B, Liu M. Remote-sensing evaluation of the relationship between urban heat islands and urban biophysical descriptors in Jinan, China [J]. Journal of Applied Remote Sensing, 2014, 8(1): 083693.[7]吴昌广, 房雅萍, 林姚宇, 等. 湿热地区街头绿地微气候效应数值模拟分析[J]. 气象与环境学报, 2016, 32(5): 99-106. [8]郑国强, 鲁敏, 张涛,等. 地表比辐射率求算对济南市地表温度反演结果的影响[J]. 山东建筑大学学报, 2010, 25(5):519-523.[9]杨国东, 王民水. 倾斜摄影测量技术应用及展望[J]. 测绘与空间地理信息, 2016, 39(1): 13-15.[10]刘洋. 无人机倾斜摄影测量影像处理与三维建模的研究[D]. 南昌: 东华理工大学, 2016.[11]褚杰, 盛一楠. 无人机倾斜摄影测量技术在城市三维建模及三维数据更新中的应用[J]. 测绘通报, 2017, 2(S1): 130-135.[12]顾广杰, 姜坚, 陶占杰. 无人机倾斜摄影测量技术在应急测绘保障中的应用[J]. 测绘通报, 2017, 2(S1): 100-101.[13]秦文翠, 胡聃, 李元征, 等. 基于ENVI-met的北京典型住宅区微气候数值模拟分析[J]. 气象与环境学报, 2015, 31(3): 56-62.[14]包毅. 城市居民小区内微环境的数值模拟研究[D].杭州: 浙江大学, 2010.[15]齐石茗月. 绿地对建筑外热环境特征及人体舒适度的影响[D]. 北京: 北京林业大学, 2016.[16]晏海. 城市公园绿地小气候环境效应及其影响因子研究[D]. 北京: 北京林业大学, 2014.[17]Morakinyo T E, Lau K L, Ren C, et al. Performance of Hong Kong’s common trees species for outdoor temperature regulation, thermal comfort and energy saving[J]. Building and Environment, 2018, 137:157-170.[18]刘之欣, 谭广文, 赵立华. ENVI-met乔木建模简化方式探究——以细叶榕Ficus microcarpa为例[J]. 广东园林, 2018, 40(1): 83-87.[19]杨小山, 赵立华, 孟庆林. 城市微气候模拟数据在建筑能耗计算中的应用[J]. 太阳能学报, 2015, 36(6): 1344-1351.[20]Simon H, Linden J, Hoffmann D, et al. Modeling transpiration and leaf temperature of urban trees: A case study evaluating the microclimate model ENVI-met against measurement data[J]. Landscape and Urban Planning, 2018, 174(10):33-40.[21]张常旺,孟飞,于琦人.基于ENVI-met的校园热环境数值模拟研究[J].山东建筑大学学报,2018,33(3):50-55.[22]于洋. 树种选择与种植间距对林荫广场小气候的影响分析[D]. 沈阳: 沈阳农业大学, 2018.

相似文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-09-13基金项目:山东省自然科学基金项目(ZR2018MD008);地理信息科学教育部重点实验开放研究基金(KLGIS2016A01)作者简介:于琦人(1994-), 女, 在读硕士, 主要从事遥感与GIS应用等方面的研究.E-mail: 457846535@qq.com通讯作者*:孟飞(1974-), 男, 教授, 博士, 主要从事环境遥感等方面的研究. E-mail:Lzhmf@sdjzu.edu.cn
更新日期/Last Update: 2018-12-05