城市公园及周边景观格局对冷岛效应的影响——以福建省福州市为例

刘晟龙; 谢慧黎; 陈凌秀; 戴洪霞; 张娇; 许梦杰; 陈思韬; 刘兴诏

doi:10.13961/j.cnki.stbctb.2025.01.031

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城市公园及周边景观格局对冷岛效应的影响——以福建省福州市为例

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- 城市公园及周边景观格局对冷岛效应的影响——以福建省福州市为例
- Influence of urban parks and surrounding landscape patterns on cold island effect —A case study of Fuzhou City, Fujian Province
- 水土保持通报 2025年45卷第1期页码：296-305
- 作者机构：
  
  1. 福建农林大学风景园林与艺术学院,福建,福州,350002
  2. 科廷大学设计与建筑环境学院,珀斯,澳大利亚,6102
- 作者简介：
- 基金信息：
  
  福建省科技创新项目“基于山水林田湖草系统的闽江流域生态安全格局”(KY-090000-04-2021-012);福建农林大学科技创新专项基金项目“城市蓝绿空间冷岛效应的驱动机制及优化策略研究”(KFB23171)
- DOI：10.13961/j.cnki.stbctb.2025.01.031
  中图分类号： X22;TU986
- 纸质出版：2025
- 稿件说明：
移动端阅览
刘晟龙, 谢慧黎, 陈凌秀, 等. 城市公园及周边景观格局对冷岛效应的影响——以福建省福州市为例[J]. 水土保持通报, 2025,45(1):296-305.

Liu Shenglong, Xie Huili, Chen Lingxiu, et al. Influence of urban parks and surrounding landscape patterns on cold island effect —A case study of Fuzhou City, Fujian Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 296-305.
刘晟龙, 谢慧黎, 陈凌秀, 等. 城市公园及周边景观格局对冷岛效应的影响——以福建省福州市为例[J]. 水土保持通报, 2025,45(1):296-305. DOI： 10.13961/j.cnki.stbctb.2025.01.031.

Liu Shenglong, Xie Huili, Chen Lingxiu, et al. Influence of urban parks and surrounding landscape patterns on cold island effect —A case study of Fuzhou City, Fujian Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 296-305. DOI： 10.13961/j.cnki.stbctb.2025.01.031.

摘要

[目的

]

分析福州城市公园及周边景观格局对冷岛效应的影响，量化不同冷岛效应类型公园降温效果及景观配置特征，为了解城市公园冷岛效应、缓解城市高温提供科学依据。[方法

]

根据《福州市城市公园名录》筛选23个城市公园，基于Landsat 8，GF-1等遥感数据采用辐射传输方程反演地表温度，分析公园规模、形状、公园及其周边景观组成、植被覆盖、建筑高度以及经济发展水平要素与冷岛效应的相关关系；拟合公园面积与累计冷岛效应梯度对数函数曲线，计算公园效率阈值；基于降温效果划分公园冷岛效应类型并分析各类型降温特点与公园配置。[结果

]

①福州市主城区热岛效应显著，公园降温效果明显。②公园冷岛效应与公园的规模、形状以及公园和周边景观组成要素相关性显著，与植被覆盖要素相关性较弱，与建筑高度、经济发展水平要素无显著相关性。③福州城市公园的降温效率阈值为0.22 hm

。④基于归一化公园平均温度和累计冷岛效应梯度将公园划分为强冷岛效应型、较强冷岛效应型以及弱冷岛效应型3类。不同类型公园有着不同的降温效果以及景观格局分别适合布置于郊区、市区以及用地局促的人流密集区。[结论

]

未来在公园规划布局中应充分考虑公园冷岛效应类型及其景观格局，合理布局公园规模和景观组成，以求用最小公园规模最大限度地缓解城市热岛效应。

Abstract

[Objective] The influence of urban parks and surrounding landscape patterns on the cold island effect in Fuzhou City

Fujian Province

was analyzed

and the cooling impacts and landscape configurations of parks with different types of cold island effect were quantified. in order to provide a scientific basis for understanding the cold island effect of urban parks and alleviating high urban temperatures. [Methods] Twenty-three parks were selected from the list of urban parks in Fuzhou City

and the radiative transfer equation was used to invert the land surface temperature based on Landsat 8 and GF-1 as well as other remote sensing data. For each park

the correlations between the scale

shape

internal and surrounding landscape components

vegetation coverage

building height

and economic development and the exerted cold island effect were analyzed. A logarithmic function curve was fitted between park area and the cumulative gradient of the cold island effect to calculate the cooling efficiency threshold. The cooling effect was used as basis to divide the types of cold island effect of parks

and the respective cooling characteristics and park configurations were analyzed. [Results] ① The heat island effect in the main urban area of Fuzhou City was significant

and the cooling effect of the parks was obvious provided noticeable cooling. ② The cold island effect of parks was significantly correlated with the scale

shape

and internal and surrounding landscape components and weakly correlated with vegetation coverage

while there were no significant correlations with building height and economic development. ③ The cooling efficiency threshold of parks in Fuzhou City was 0.22 hm2. ④ The types of cold island effect of parks were divided into strong

sub-strong

and low based on the normalized average temperature and cumulative gradient of the cold island effect. Each type hads distinct cooling effects and landscape patterns suitable for suburban

urban

and crowded areas with limited land. [Conclusion] Future park planning and layout should consider the types of cold island effect of parks and respective landscape patterns

and park scale and landscape composition should be rationally distributed to minimize the park scale and achieve maximum alleviation of the urban heat island effect.

关键词

Keywords

references

Liu Xiaoping, Huang Yinghuai, Xu Xiaocong, et al. High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015[J]. Nature Sustainability, 2020,3:64-570.

Wang Jun, Chen Yang, Liao Weilin, et al. Anthropogenic emissions and urbanization increase risk of compound hot extremes in cities [J]. Nature Climate Change, 2021,11:1084-1089.

王美雅,徐涵秋.中外超大城市热岛效应变化对比研究[J].自然资源遥感,2021,33(4):200-208. Wang Meiya, Xu Hanqiu. A comparative study on the changes in heat island effect in Chinese and foreign megacities [J]. Remote Sensing for Natural Resources, 2021,33(4):200-208.

Gunawardena K R, Wells M J, Kershaw T. Utilising green and bluespace to mitigate urban heat island intensity [J]. Science of the Total Environment, 2017,584:1040-1055.

Moyer A N, Hawkins T W. River effects on the heat island of a small urban area [J]. Urban Climate, 2017,21:262-277.

刘艳芬,黄茹鲜,艾婧文,等.福州市城市公园的冷岛效应及其影响因素[J].南京林业大学学报(自然科学版),2024,48(3):295-303. Liu Yanfen, Huang Ruxian, Ai Jingwen, et al. The cold island effect and its influence on urban parks in Fuzhou City, China [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2024,48(3):295-303.

陈力行,邓雅丽,张樱子,等.成都市城市公园景观特征的“冷岛效应” 研究[J].中国园林,2023,39(5):132-138. Chen Lixing, Deng Yali, Zhang Yingzi, et al. Study on cold island effect of landscape characteristics of urban parks in Chengdu [J]. Chinese Landscape Architecture, 2023,39(5):132-138.

徐梦耀,国巧真,杨光,等.城市公园降温指标与地表热场耦合关系[J].中国环境监测,2023,39(3):120-128. Xu Mengyao, Guo Qiaozhen, Yang Guang, et al. Study on the coupling relationship between urban park cooling index and surface thermal field [J]. Environmental Monitoring in China, 2023,39(3):120-128.

Chen Mo, Jia Wenxiao, Yan Liang, et al. Quantification and mapping cooling effect and its accessibility of urban parks in an extreme heat event in a megacity [J]. Journal of Cleaner Production, 2022,334:130252.

Yang Gaoyuan, Yu Zhaowu, Jørgensen G, et al. How can urban blue-green space be planned for climate adaption in high-latitude cities? A seasonal perspective [J]. Sustainable Cities and Society, 2020,53:101932.

杨清源,邓睿,汤伟宏,等.城市空间水体热环境效应研究: 以重庆市主城七区为例[J].西安理工大学学报,2024,40(1):15-26. Yang Qingyuan, Deng Rui, Tang Weihong, et al. Research on thermal environment effect of water bodies in urban space: A case study of seven districts of Chongqing [J]. Journal of Xi’an University of Technology, 2024,40(1):15-26.

Peng Jian, Liu Qianyuan, Xu Zihan, et al. How to effectively mitigate urban heat island effect? A perspective of waterbody patch size threshold [J]. Landscape and Urban Planning, 2020,202:103873.

Wu Wanben, Ma Jun, Banzhaf E, et al. A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning [J]. Remote Sensing of Environment, 2023,291:113578.

Chen Zuoqi, Yu Bailang, Yang Chengshu, et al. An extended time series (2000—2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration [J]. Earth System Science Data, 2021,13(3):889-906.

阚增辉,刘朝顺,李志军.基于Landsat-8热红外数据的太湖地区地表温度反演与热岛效应分析[J].华东师范大学学报(自然科学版),2016(4):129-138. Kan Zenghui, Liu Chaoshun, Li Zhijun. Retrieval of land surface temperature based on Landsat-8 thermal infrared data and heat island effect analysis over the Taihu Lake region [J]. Journal of East China Normal University (Natural Science), 2016(4):129-138.

赵海月,胡淼,朱建宁,等.高密度中心城区蓝绿空间冷岛效应及其影响因素: 以北京五环路以内地区为例[J].生态学报,2023,43(12):4904-4919. Zhao Haiyue, Hu Miao, Zhu Jianning, et al. Blue-green space cooling effect and its influencing factors in metropolitan area: A case study on the area within the Fifth Ring Road in Beijing [J]. Acta Ecologica Sinica, 2023,43(12):4904-4919.

张晓东,赵银鑫,马风华,等.基于遥感数据的银川市城市公园对城市热环境降温效应分析[J].水土保持通报,2021,41(5):338-347. Zhang Xiaodong, Zhao Yinxin, Ma Fenghua, et al. Analysis on cooling effect of urban parks on urban thermal environment in Yinchuan City based on remote sensing [J]. Bulletin of Soil and Water Conservation, 2021,41(5):338-347.

Peng Jian, Dan Yuzhuo, Qiao Ruilin, et al. How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives [J]. Remote Sensing of Environment, 2021,252:112135.

Yu Zhaowu, Yang Gaoyuan, Zuo Shudi, et al. Critical review on the cooling effect of urban blue-green space: A threshold-size perspective [J]. Urban Forestry & Urban Greening, 2020,49:126630.

Zheng Zefeng, Lin Xinlu, Chen Li, et al. Effects of urbanization and topography on thermal comfort during a heat wave event: A case study of Fuzhou, China [J]. Sustainable Cities and Society, 2024,102:105233.

朱云凤,王红,覃书鸿,等.基于多源数据的南京市公园降温效应研究[J].南京林业大学学报(自然科学版),2024,48(3):285-294. Zhu Yunfeng, Wang Hong, Qin Shuhong, et al. Research on the cooling effect of parks in Nanjing based on multi-source data [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2024,48(3):285-294.

赵芮,申鑫杰,田国行,等.郑州市公园绿地景观特征对公园冷岛效应的影响[J].生态学报,2020,40(9):2886-2894. Zhao RuiShen Xinjie, Tian Guohang, et al. The influence of landscape characteristics of a park green space on the park cool island effect in Zhengzhou City [J]. Acta Ecologica Sinica, 2020,40(9):2886-2894.

Jaganmohan M, Knapp S, Buchmann C M, et al. The bigger, the better? the influence of urban green space design on cooling effects for residential areas [J]. Journal of environmental quality, 2016,45(1):134-145.

连欣欣,刘兴诏,李倩,等.城市“蓝绿空间” 的降温效应研究进展[J].南方林业科学,2021,49(2):68-72. Lian Xinxin, Liu Xingzhao, Li Qian, et al. Research advances on the cooling effect of “urban blue-green space” [J]. South China Forestry Science, 2021,49(2):68-72.

杨朝斌,张亭,胡长涛,等.蓝绿空间冷岛效应时空变化及其影响因素: 以苏州市为例[J].长江流域资源与环境,2021,30(3):677-688. Yang Chaobin, Zhang Ting, Hu Changtao, et al. Spatial-temporal characteristics of the cooling island for blue-green space and its driving factors in Suzhou, China [J]. Resources and Environment in the Yangtze Basin, 2021,30(3):677-688.

花利忠,孙凤琴,陈娇娜,等.基于Landsat-8影像的沿海城市公园冷岛效应: 以厦门为例[J].生态学报,2020,40(22):8147-8157. Hua Lizhong, Sun Fengqin, Chen Jiaona, et al. Quantifying the cool-island effects of urban parks using Landsat-8 imagery in a coastal city, Xiamen, China [J]. Acta Ecologica Sinica, 2020,40(22):8147-8157.

Qiu Kuanbiao, Jia Baoquan. The roles of landscape both inside the park and the surroundings in park cooling effect [J]. Sustainable Cities and Society, 2020,52:101864.

Bartesaghi-Koc C, Osmond P, Peters A. Quantifying the seasonal cooling capacity of 'green infrastructure types’ (GITs): An approach to assess and mitigate surface urban heat island in Sydney, Australia [J]. Landscape and Urban Planning, 2020,203:103893.

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].浙江农林大学学报,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.

董建权,彭建.绿地空间降温效应综述: 景观调控视角[J].生态学报,2024,44(4):1336-1346. Dong Jianquan, Peng Jian. Review on cooling effect of greenspace: Perspective of landscape regulation [J]. Acta Ecologica Sinica, 2024,44(4):1336-1346.

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