[1]冯晓刚,杨永佺,李萌,等.多模式组合的居住区绿地对热环境影响的模拟研究[J].西安建筑科技大学学报(自然科学版),2024,56(01):113-119,158.[doi:10.15986/j.1006-7930.2024.01.014]
 FENG Xiaogang,YANG Yongquan,LI Meng,et al.Study on the impact of multi-mode combined residential green space on thermal environment[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2024,56(01):113-119,158.[doi:10.15986/j.1006-7930.2024.01.014]
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多模式组合的居住区绿地对热环境影响的模拟研究()
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西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
56
期数:
2024年01期
页码:
113-119,158
栏目:
出版日期:
2024-02-28

文章信息/Info

Title:
Study on the impact of multi-mode combined residential green space on thermal environment
文章编号:
1006-7930(2024)01-0113-07
作者:
冯晓刚1杨永佺2李萌1周在辉1李凤霞1王元1
(1.西安建筑科技大学 建筑学院, 陕西 西安 710055;2.山东科技大学 规划设计研究院,山东 济南 250101)
Author(s):
FENG Xiaogang1 YANG Yongquan2 LI Meng1 ZHOU Zaihui1 LI Fengxia1 WANG Yuan1
(1.Collage of Architecture, Xi′an Univ. of Arch. & Tech., Xi′an 710055, China;2.Shandong Metallurgical Design Institute, Jinan 250101, China)
关键词:
居住区绿地热环境模拟多模式
Keywords:
residential areas greenland thermal environment simulation multi mode
分类号:
TU985.12
DOI:
10.15986/j.1006-7930.2024.01.014
文献标志码:
A
摘要:
居住区作为城镇居民三生活动最主要的空间单元,其热环境质量直接决定了小区内居民的舒适感和幸福度.本文在归纳总结城镇居住区绿地组合模式的基础上,基于非静力流体力学技术和热力学原理,耦合有限差分及交替方向隐式算法对小区范围内不同模式结构组合的绿地生态系统进行热效应模拟研究,通过对比分析不同模式组合的绿地系统热环境效应特征,探寻多模式组合下的居住区绿地与局地热环境间的交互关系.结果表明:在相同的模拟条件下,“中心+宅间”绿地组合模式的热环境效应最好,“组团+宅间”模式次之,“宅间”模式热环境效应最差;模拟区域内三种绿地组合模式的最高最低温度差分别为2.36、2.31和2.34 ℃,且温度自西南向东北方呈现圈层式分布特征;多绿植类型的组合模式对局地热环境的改善效果依次为:草+灌+乔>草+乔>草+灌>草,灌木对绿地热环境舒适度的改善效果不显著.该研究能够为居住区绿地规划设计与实践提供科学参考.
Abstract:
As the most important spatial unit of urban resident activities, the thermal environment quality of residential area determines the thermal comfort and happiness of residents. On the basis of summarizing the green space combination models in urban residential areas, this paper adopts non static fluid dynamics technology and thermodynamic principles, coupled with finite difference and alternating direction implicit algorithms, to conduct thermal effect simulation research on green space ecosystems with different pattern structure combinations within the community scope. By comparing and analyzing the thermal environment effect characteristics of green space system with different combination modes, the interaction between green space and local thermal environment in residential areas under multi-mode combination is explored. The results show that under the same simulation conditions, the “center + residence” green space mode has the best thermal environment effect, the “cluster+residence” mode takes the second place, and the “residence” mode has the worst thermal environment effect. The maximum and minimum temperature differences of three green space combination modes in the simulation area are 2.36, 2.31 and 2.34℃, respectively, and the temperature presents a circular distribution from southwest to northeast. The improvement effect of the combination mode of different green plant types on the local geothermal environment is as follow, grass+shrub+tree>grass+tree>grass+shrub>grass. This improvement effect of shrubs on the thermal environment comfort of green space is not significant. The study can provide scientific reference for the planning, design and practice of green space in residential areas.

参考文献/References:

[1]陈华疆. 城市园林绿地微气候效应及其对人体舒适度影响研究[J]. 城市建筑, 2021, 18(14): 170-171.
CHEN Huajiang. Study on the microclimate effect of urban green space and its influence on human comfort[J]. Urbanism and Architecture, 2021, 18(14): 170-171.
[2]孟丹, 刘芯蕊, 刘聪聪. 北京市植物物候对热岛效应的响应[J]. 生态学杂志, 2021, 40(3): 844-854.
MENG Dan, LIU Xinrui, ZHANG Congcong. Responses of plant phenology to urban heat island effects in Beijing [J]. Chinese Journal of Ecology, 2021, 40(3): 844-854.
[3]崔凤娇, 邵锋, 齐锋, 等. 植被对城市热岛效应影响的研究进展[J]. 浙江农业大学学报, 2020, 37(1): 171-181.
CUI Fengjiao, SHAO Feng, QI Feng, et al. Research advances in the influence of vegetation on urban heat island effect[J]. Journal of Zhejiang A&F University, 2020, 37(1): 171-181.
[4]李英男, 韩依纹. 基于ENVI-met 的城市绿地微气候模拟研究进展[J]. 中国城市林业, 2021, 19(3): 61-66.
LI Yingnan, HAN Yiwen. Research progress in simulating microclimate in urban green spaces based on ENVI-met model [J]. Journal of Chinese Urban Forestry, 2021, 19(3): 61-66.
[5]林冰钰, 杨心怡, 张颖诗, 等. 广州市核心区城市绿地降温效应研究[J]. 生态科学, 2021, 40(2):26-34.
LIN Bingyu, YANG Xinyi, ZHANG Yingshi, et al. Cooling effect of urban green space of Guangzhou core area[J]. Ecological Science, 2021, 40(2): 26-34.
[6]王晓俊, 卫笑, 邹昊. 城市绿地空间格局对热岛效应的影响研究进展[J]. 生态环境学报, 2020, 29(9): 1904-1911.
WANG Xiaojun, WEI Xiao, ZOU Hao. Research progress about the impact of urban green space spatial pattern on urban heat island[J]. Ecology and Environment Sciences, 2020, 29(9): 1904-1911.
[7]BRUSE M, FLEER H . Simulating surface pant-air interactions inside urban environments with a three dimensional numerical mode[J]. Environmental Modelling & Software, 1998, 13(3): 373-384.
[8]WONG N H, JUSUF S K. GIS-based greenery evaluation on campus master plan[J]. Landscape and urban planning, 2008, 84(2): 166-182.
[9]SKELHORN C. A fine scale assessment of urban greenspace impacts on microclimate and building energy in Manchester[J], 2014, University of Manchester.
[10]SHAHIDAN M F, JONES P J, GWILLIAM J, et al. An evaluation of outdoor and building environment cooling achieved through combination modification of trees with ground materials[J]. Build and Environment, 58(2012): 245-257.
[11]SODOUDI S, ZHANG H W, CHI X L, et al.The influence of spatial configuration of green areas on microclimate and thermal comfort[J]. Urban Forestry & Urban Greening, 2018, 34: 85-96.
[12]ZHAO Q S, SAILOR D J, WENTZ E A. Impact of tree locations and arrangements on outdoor microclimates and human thermal comfort in an urban residential environment[J]. Urban Forestry & Urban Greening, 2018, 32: 81-91.
[13]帅林茹, 冯莉, 阳少奇.植被种植方式对城市微环境热舒适度影响的数值模拟研究[J]. 生态学杂志, 2022, 41(8):1611-1618.
SHUAI Linru, FENG Li, YANG Shaoqi. Numerical simulation on the effect of planting mode on thermal comfort of urban microenvironment[J]. Chinese Journal of Ecology, 2022, 41(8):1611-1618.
[14]XING Y,BRIMBLECOMBE P,WANG S F,et al.Tree distribution,morphology and modelled air pollution in urban parks of Hong Kong[J]. Journal of Environmental Management, 2019, 248: 109304.
[15]RAHMAN M A, STRATOPOULOS L, MOSER-REISCHL A, et al. Traits of trees for cooling urban heat islands: A metaanalysis [J]. Building and Environment, 2019, 170: 106606.
[16]陕西省地方志编纂委员会. 陕西省志·地理志[M]. 西安: 陕西人民出版社, 2000.
Local Chronicle Compilation Committee of Shaanxi Province. Records and Geography of Shaanxi province [M]. Xi′an: Shaanxi People′s Publishing House, 2000.
[17]冯晓刚, 周在辉, 李凤霞, 等. 西咸一体化驱动的咸阳市热力景观格局时空分异分析[J]. 西安建筑科技大学学报(自然科学版), 2021,53(3):413-419.
FENG Xiaogang, ZHOU Zaihui, LI Fengxia, et al. Spatiotemporal differentiation of thermal landscape pattern in Xiyang city driven by integration of Xi′an and Xianyang[J]. J. Xi′an Univ. of Arch. and Tech.(Natural Science Edition),2021, 53(3): 413-419.
[18]卢薪升, 杨鑫. 基于ENVImet软件小气候模拟与热舒适度体验的城市更新研究[J]. 城市发展研究, 2018,25(4):147-152.
LU Xinsheng, YANG Xing. Research on urban renewal methods based on ENVImet software microclimate simulation and thermal comfort experience: A case study of Bei Xin′an area in Shijingshan in Beijing[J]. Urban Studies, 2018, 25(4): 147-152.
[19]LIU Zhixin, ZHENG Senlin, ZHAO Lihua. Evaluation of the ENVI-met vegetation model of four common tree species in a subtropical hothumid area[J]. Atmosphere, 2018, 9(5): 198.
[20]YANG Junyan, HU Xinyu, FENG Haiyi, et al. Verifying an ENVI-met simulation of the thermal environment of Yanzhong Square Park in Shanghai[J]. Urban Forestry & Urban Greening, 2021, 66: 127384.
[21]谭兴, 廖建军, 王志远, 等. 住区不同绿化组合比率的绿地热环境模拟[J]. 中国城市林业, 2022, 20(4):37-42.
TAN Xing, LIAO Jianjun, WANG Zhiyuan, et al. Simulation of thermal environment green spaces under different green combination rations in residential area[J]. Journal of Chinese Urban Forestry, 2022, 20(4): 37-42.
[22]张芯蕊, 聂庆娟, 刘江秀. 基于ENVI-met的城市公园绿地热舒适度改善策略研究[J]. 生态科学, 2021, 40(3): 144-155.
ZHANG Xinrui, NIE Qingjuan, LIU Jiangxiu. Research on urban geothermal comfort improvement strategy based on ENVI-met[J].Ecological Science, 2021, 40(3): 144-155.

备注/Memo

备注/Memo:
收稿日期:2022-05-11修回日期:2023-02-02
基金项目:国家自然科学基金青年基金项目(51608419);陕西省自然科学基金项目(2018JM5073);陕西省教育厅专项基金项目(18JK0453);西安建筑科技大学自然科学专项基金项目(ZR19001)
第一作者:冯晓刚(1979—),男,博士,副教授,硕士生导师,主要研究方向为城市热环境、智慧城市及历史文化名城和传统村落全要素数字化保护.E-mai: fendao_ren@163.com
更新日期/Last Update: 2024-04-08