Papers

Impact of forest park vegetation spatial configuration on cooling effect under Double Carbon Target: Taking Fuzhou Forest Park as an example

  • LIU Donglan ,
  • DAI Zhongwei
Expand
  • 1. Horticulture and Garden Institute of Fujian Agriculture Vocational and Technical College, Fuzhou 350002, China;
    2. College of Architecture and Urban Planning, Tongji University, Shanghai, 200092, China

Received date: 2024-04-02

  Revised date: 2024-06-13

  Online published: 2024-08-28

Abstract

Taking the forest park located on the outskirts of Fuzhou, a typical high-density city on the southeast coast, as an example, this study used ENVI-MET software to simulate and analyze the impact of different vegetation spatial configuration types on the cooling effect, aiming to propose useful strategies to improve the cooling effect of forest park vegetation. The correlation between different vegetation spatial configurations and cooling effects was systematically clarified, 18 idealized scenarios were designed, and the microclimate model ENVI-MET was used for simulation analysis. These 18 scenes represent 3 vegetation spatial configuration types with different degrees of fragmentation (blocky green space, sparse point green space, dense point green space) and 6 vegetation types (bare land, grassland, shrub, small tree + grassland, large trees + grass, large trees + shrubs). The results show that large trees are an important factor affecting the cooling effect while grass and shrubs do not cause cooling of the surrounding air due to the reason of thermal radiation accumulation. In addition, the higher the degree of fragmentation of the spatial configuration type of tree vegetation, the lower the cooling effect will be, while the effect of spatial configuration types of grassland and shrub vegetation is not significant. It is further concluded that in the process of vegetation construction and management of forest parks, attention should be paid to the cooling effect of trees, at the same time, the fragmented design of space for tree clusters should be avoided, allowing the clusters of trees to be highly concentrated.

Cite this article

LIU Donglan , DAI Zhongwei . Impact of forest park vegetation spatial configuration on cooling effect under Double Carbon Target: Taking Fuzhou Forest Park as an example[J]. Science & Technology Review, 2024 , 42(15) : 82 -90 . DOI: 10.3981/j.issn.1000-7857.2024.04.00326

References

[1] 党的二十大报告全文公布[EB/OL]. [2023-10-26]. https://www.163.com/dy/article/HKKPC6CT0514G4F8.html.
[2] 中华人民共和国中央人民政府.住房和城乡建设部“国家发展改革委关于印发城乡建设领域碳达峰实施方案的通知”[EB/OL]. [2024-01-25]. http://www.gov.cn/zhengce/zhengceku/2022-07/13/content_5700752.htm.
[3] 贾刘强, 舒波. 城市绿地与热岛效应关系研究回顾与展望[J]. 中国园林, 2012, 28(4): 37-40.
[4] 寿亦萱, 张大林. 城市热岛效应的研究进展与展望[J]. 气象学报, 2012, 70(3): 338-353.
[5] Stewart I D, Oke T R. Local climate zones for urban temperature studies[J]. Bulletin of the American Meteorological Society, 2012, 93(12): 1879-1900.
[6] Yang L, Qian F, Song D X, et al. Research on urban heat-island effect[J]. Procedia Engineering, 2016, 169: 11-18.
[7] 胡欣雨. 南阳市主城区热岛效应及绿地降温作用研究[D]. 福州: 福建农林大学, 2022.
[8] Cui Y P, Xiao X M, Doughty R B, et al. The relationships between urban-rural temperature difference and vegetation in eight cities of the Great Plains[J]. Frontiers of Earth Science, 2019, 13(2): 290-302.
[9] 倪黎, 沈守云, 黄培森. 园林绿化对降低城市热岛效应的作用[J]. 中南林业科技大学学报, 2007, 27(2): 36-43.
[10] 兰思仁, 戴永务, 沈必胜. 中国森林公园和森林旅游的三十年[J]. 林业经济问题, 2014, 34(2): 97-106.
[11] 戴忠炜, 吴姝婷, 程惠珊, 等. 城郊森林公园植被对夏季微气候的影响: 以福州国家森林公园为例[J]. 中国城市林业, 2018, 16(6): 1-5.
[12] Dimoudi A, Nikolopoulou M. Vegetation in the urban environment: Microclimatic analysis and benefits[J]. Energy and Buildings, 2003, 35(1): 69-76.
[13] 王爱霞, 任光淳, 秦亚楠. 半干旱区城市广场树木形态对微气候的影响研究[J]. 风景园林, 2020, 27(7): 100-107.
[14] Spangenberg J, Shinzato P, Johansson E, et al. Simulation of the influence of vegetation on microclimate and thermal comfort in the city of são Paulo[J]. Revista Da Sociedade Brasileira De Arborização Urbana, 2019, 3(2): 1.
[15] Yang Y J, Gatto E, Gao Z, et al. The“plant evaluation model”for the assessment of the impact of vegetation on outdoor microclimate in the urban environment[J]. Building and Environment, 2019, 159: 106151.
[16] 张明娟, 卫笑, 苏晓蕾, 等. 南京市不同结构植物群落在冬夏两季的微气候调节作用[J]. 生态学杂志, 2019, 38(1): 27-34.
[17] 曹辉, 兰思仁. 福州国家森林公园森林景观游憩效益评价[J]. 林业经济问题, 2001, 21(5): 296-298.
[18] 徐欢, 朱珈仪, 李红. 基于ENVI-met模拟的城市校园绿地夏季微气候适应性优化设计[J]. 现代城市研究, 2023, 38(7): 101-106, 114.
[19] 庄莉娟, 蔡芫镔, 祁娟娟. 基于ENVI-met的福州大学校区冬季热环境模拟与热舒适度变化分析[J]. 气象与环境学报, 2021, 37(6): 44-52.
[20] 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.
[21] Zhang R F. Cooling effect and control factors of common shrubs on the urban heat island effect in a southern city in China[J]. Scientific Reports, 2020, 10(1): 17317.
[22] Rahman M A, Stratopoulos L M F, Moser-Reischl A, et al. Traits of trees for cooling urban heat islands: A meta-analysis[J]. Building and Environment, 2020, 170: 106606.
Outlines

/