Influence of landscape layout on microclimate in residential area based on ENVI-met simulation

WANG Ting; CHEN Xiaorui; ZHANG Jia’en; YE Changdong

doi:10.7671/j.issn.1001-411X.201810019

Journal of South China Agricultural University > 2019 > 40(4): 61-68. > DOI: 10.7671/j.issn.1001-411X.201810019

WANG Ting, CHEN Xiaorui, ZHANG Jia’en, et al. Influence of landscape layout on microclimate in residential area based on ENVI-met simulation[J]. Journal of South China Agricultural University, 2019, 40(4): 61-68. DOI: 10.7671/j.issn.1001-411X.201810019

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Influence of landscape layout on microclimate in residential area based on ENVI-met simulation

1.
College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
2.
College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
3.
Guangzhou Design Institute, Guangzhou 510620, China

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Received Date: October 14, 2018
Available Online: May 17, 2023

Graphical Abstract

Abstract

Abstract

Objective
The effects of different landscape layout schemes on microclimate of residential area were numerically simulated to obtain the optimal scheme.

Method
Taking an old residential area in Guangzhou as the research site, we measured key characteristics of the outdoor microclimate under typical humid and hot weather condition. A numerical simulation model was built using ENVI-met software. The accuracy and quality of the model were validated by comparing the simulation results with the measured values. The microclimate characteristics of three landscape layout schemes were simulated and analyzed.

Result
Comparing with the current landscape condition, after clearing shrubs from the landscape layout, the mean temperature increased 0.1 ℃ and the mean humidity decreased 0.51%, and ventilation near the ground was moderately improved. After removing trees from the landscape layout, the mean temperature increased 0.4 ℃, the mean humidity increased 1.18%, and the overall wind speed evidently increased. After the roof was simply landscaped with green plants, the mean temperature decreased 0.16 ℃, the mean humidity increased 1.17%, and the wind speed did not obviously change.

Conclusion
ENVI-met model can be used to well predict the diurnal variation trend of temperature and humidity, to effectively evaluate the influence of landscape planning and improvement in old residential areas.
- microclimate,
- ENVI-met,
- old community,
- numerical simulation,
- landscape layout

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[1]	秦文翠, 胡聃, 李元征. 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.
[2]	SU X, CAI H, CHEN Z, et al. Influence of the ground greening configuration on the outdoor thermal environment in residential areas under different underground space overburden thicknesses[J]. Sustainability, 2017, 9(9): 1656-1679. doi: 10.3390/su9091656
[3]	陈卓伦, 赵立华, 孟庆林. 广州典型住宅小区微气候实测与分析[J]. 建筑学报, 2008, 55(11): 24-27. doi: 10.3969/j.issn.0529-1399.2008.11.007
[4]	林满, 王宝民, 刘辉志. 广州典型小区微气候特征观测与数值模拟研究[J]. 中山大学学报(自然科学版), 2015, 54(1): 124-129.
[5]	章莉, 詹庆明, 蓝玉良. 武汉市居住用地绿地降温效应研究[J]. 中国园林, 2018, 34(4): 47-53. doi: 10.3969/j.issn.1000-6664.2018.04.009
[6]	ALI-TOUDERT F, MAYER H. Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate[J]. Build Environ, 2006, 41(2): 94-108. doi: 10.1016/j.buildenv.2005.01.013
[7]	MIDDEL A, HÄB K, BRAZEL A J, et al. Impact of urban form and design on mid-afternoon microclimate in Phoenix local climate zones[J]. Landscape Urban Plan, 2014, 122: 16-28. doi: 10.1016/j.landurbplan.2013.11.004
[8]	郑子豪, 陈颖彪, 千庆兰. 基于三维模型的城市局地微气候模拟[J]. 地球信息科学学报, 2016, 21(9): 1199-1208.
[9]	方小山. 亚热带湿热地区郊野公园气候适应性规划设计策略研究[D]. 广州: 华南理工大学, 2014.
[10]	Department of Atmospheric Science, University of Wyoming. 59280 Qing Yuan Observations at 00Z 1 Apr 2018[DB/OL]. (2018-04-01)[2018-10-01]. http://weather.uwyo.edu/upperair/sounding.html.
[11]	广东省建设厅. 《夏热冬暖地区居住建筑节能设计标准》广东省实施细则: DBJ15-50—2006[S]. 北京: 中国建筑工业出版社, 2006: 47.
[12]	詹慧娟, 解潍嘉, 孙浩, 等. 应用ENVI-met模型模拟三维植被场景温度分布[J]. 北京林业大学学报, 2014, 36(4): 64-74.
[13]	杨小山. 室外微气候对建筑空调能耗影响的模拟方法研究[D]. 广州: 华南理工大学, 2012.
[14]	Z LCH T, MADERSPACHER J, WAMSLER C, et al. Using green infrastructure for urban climate-proofing: An evaluation of heat mitigation measures at the micro-scale[J]. Urban For Urban Gree, 2016, 20: 305-316. doi: 10.1016/j.ufug.2016.09.011
[15]	CHOW W T L, POPE R L, MARTIN C A, et al. Observing and modeling the nocturnal park cool island of an arid city: Horizontal and vertical impacts[J]. Theor Appl Climatol, 2011, 103(1): 197-211.
[16]	PASTORE L, CORRAO R, HEISELBERG P K. The effects of vegetation on indoor thermal comfort: The application of a multi-scale simulation methodology on a residential neighborhood renovation case study[J]. Enegr Buildings, 2017, 146: 1-11. doi: 10.1016/j.enbuild.2017.04.022
[17]	LEE H, MAYER H, CHEN L. Contribution of trees and grasslands to the mitigation of human heat stress in a residential district of Freiburg, Southwest Germany[J]. Landscape Urban Plan, 2016, 148: 37-50. doi: 10.1016/j.landurbplan.2015.12.004
[18]	MORAKINYO T E, DAHANAYAKE K W D K, NG E, et al. Temperature and cooling demand reduction by green-roof types in different climates and urban densities: A co-simulation parametric study[J]. Energ Buildings, 2017, 145: 226-237. doi: 10.1016/j.enbuild.2017.03.066

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