城市公园的冷岛效应研究——以常州市为例

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Abstract This research selected parks in Changzhou, a rapidly urbanizing city in the Yangtze River Delta, to study the relationship between the composition of parks and their cooling effect. The park composition indicators and cooling effect indicators were extracted from high-spatial-resolution images created by Landsat 8TIRS and Tianditu. Land surface temperatures of the researched area were retrieved by the radiation transfer equation, and buffer analysis of ArcGIS, piecewise regression were used to analyze cooling effect indicators of each surveyed park, including the land surface temperature, the temperature drop range and the temperature drop amplitude. The perimeter, area and integration index of the parks were measured as their composition indicators. Afterwards, park land cover indicators, namely, the green coverage, water coverage, impervious surface coverage, and tree coverage were extracted from high-definition remote sensing images of Tianditu. Correlation analysis and the regression model between the park indicators and the cooling effect revealed that the temperature drop amplitude was nonlinearly related to the area and perimeter of a park, and the threshold were 26hm² and 3600m respectively, which means that a park has a strong cooling effect with its area and perimeter within the threshold, while the cooling effect decreases with its area and perimeter exceeding the threshold. A second finding was that the integration index of a park had a linear correlation with the cooling rate, meaning greater cooling effect for parks with a lower integration index. The third finding was that the tree coverage and water coverage of a park were strongly correlated with the surface temperature inside the park, while the impervious surface coverage rate and green space coverage rate showed no significant correlation with the land surface temperature inside the park. Based on the three findings, it was concluded that to give full play to an urban park's cooling effect, planners and designers need give a thorough consideration of its area and perimeter thresholds, integration index value, and tree and water coverage.

Key words： Landsat 8 the radiation transfer equation park planning and design cooling effect park composition

Received: 11 February 2021

PACS:	X171
	X16
	P463

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	WANG Xin-jun
	FENG Xing-ying
	CHEN Kai-li
	GAO Ji-xi

Cite this article:

WANG Xin-jun,FENG Xing-ying,CHEN Kai-li等. Study on the cooling effect of urban parks base on the case of Changzhou, Jiangsu, China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(9): 4245-4252.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I9/4245

[1]	国家统计局. 至2019年末我国城镇化率为60.60%[EB/OL]. http://hf.eeju.com/shichang/2020/0119/1270.html.National bureau of statistic. Our country's urbanization rate was 60.60% by the end of 2019[EB/OL]. http://hf.eeju.com/shichang/2020/0119/1270.html.
[2]	孙安昌,陈涛,张叙葭,等.武汉市1991~2013年城市扩张与地表覆盖变化研究[J]. 地理空间信息, 2016,14(12):33-36,47,7-8.Sun A C, Chen T, Zhang X X, et al. Research on urban expansion and land cover changes in Wuhan area from 1991 to 2013 base on MESMA[J]. Geospatial Information. 2016,14(12):33-36,47,7-8.
[3]	赵国庆,蔡国印.2000~2010年北京市地表覆盖变化分析[J]. 地理信息世界, 2017,24(1):111-115.Zhao G Q, Cai G Y. Analysis of Land cover changes in Beijing from 2000 to 2010[J]. Geomatics world. 2017,24(1):111-115.
[4]	周密,常鸣,赖安琪,等.未来土地利用类型对珠江三角洲气象场的影响[J]. 中国环境科学, 2017,37(8):2896-2904.Zhou M, Chang M, Lan A Q, et al. Impacts of future land use on meteorological conditions over the Pearl River Delta Region[J]. China Environmental Science, 2017,37(8):2896-2904.
[5]	Bowler D E, Buyung-Ali L, Knight T M, et al. Urban greening to cool towns and cities:A systematic review of the empirical evidence[J]. Landscape and Urban Planning, 2010,97(3):147-155.
[6]	Oke T R. City size and the urban heat island[J]. Atmospheric Environment, 1973,7(8):769-779.
[7]	Fu H, Chen J. Formation, features and controlling strategies of severe haze-fog pollutions in China[J]. Science of The Total Environment, 2017,578:121-138.
[8]	Yang X, Peng L L H, Jiang Z, et al. Impact of urban heat island on energy demand in buildings:Local climate zones in Nanjing[J]. Applied Energy, 2020,260:114279.
[9]	Santamouris M. Recent progress on urban overheating and heat island research. Integrated assessment of the energy, environmental, vulnerability and health impact. Synergies with the global climate change[J]. Energy and Buildings, 2020,207:109482.
[10]	Morris K I, Chan A, Morris K J K, et al. Impact of urbanization level on the interactions of urban area, the urban climate, and human thermal comfort[J]. Applied Geography, 2017,79:50-72.
[11]	IPCC. Impacts of 1.5℃ of global warming on natural and human systems 2018[EB/OL]. https://www.ipcc.ch/sr15/download/.
[12]	Grilo F, Pinho P, Aleixo C, et al. Using green to cool the grey:Modelling the cooling effect of green spaces with a high spatial resolution[J]. Science of The Total Environment, 2020,724:138182.
[13]	Lu J, Li Q, Zeng L, et al. A micro-climatic study on cooling effect of an urban park in a hot and humid climate[J]. Sustainable Cities and Society, 2017,32:513-522.
[14]	Moss JL, Doick KJ, Smith S, et al. Influence of evaporative cooling by urban forests on cooling demand in cities[J]. Urban Forestry & Urban Greening, 2019,37:65-73.
[15]	陈命男,张浩,唐靖寅,等.上海城市地表热环境多时期遥感研究[J]. 中国环境科学, 2011,31(7):1143-1151.Chen M N, Zhang H, Tang J Y, et al. Study on the thermal environment of land surface in Shanghai with multi-temporal remote sensing images[J]. China Environmental Science, 2011,31(7):1143-1151.
[16]	Dimoudi A, Nikolopoulou M. Vegetation in the urban environment:microclimatic analysis and benefits[J]. Energy and Buildings, 2003,35(1):69-76.
[17]	Ng E, Chen L, Wang Y, et al. A study on the cooling effects of greening in a high-density city:An experience from Hong Kong[J]. Building and Environment, 2012,47:256-271.
[18]	Richards D R, Fung T K, Belcher R N, et al. Differential air temperature cooling performance of urban vegetation types in the tropics[J]. Urban Forestry & Urban Greening, 2020,50:126651.
[19]	Feyisa GL, Dons K, Meilby H. Efficiency of parks in mitigating urban heat island effect:An example from Addis Ababa[J]. Landscape and Urban Planning, 2014,123:87-95.
[20]	唐罗忠,李职奇,严春风,等.不同类型绿地对南京热岛效应的缓解作用[J]. 生态环境学报, 2009,18(1):23-28.Tang L Z, Li Z Q, Yan C F, et al. Mitigative effects of different vegetations on heat island effect in Nanjing[J]. Ecology and Environmental Science. 2009,18(1):23-28.
[21]	Ren Y, Deng L Y, Zuo S D, et al. Quantifying the influences of various ecological factors on land surface temperature of urban forests[J]. Environmental Pollution, 2016,216:519-529.
[22]	Ren Z, He X, Zheng H, et al. Estimation of the Relationship between Urban Park Characteristics and Park Cool Island Intensity by Remote Sensing Data and Field Measurement[J]. Forests, 2013,4(4).
[23]	Liu W, You H, Dou J. Urban-rural humidity and temperature differences in the Beijing area[J]. Theoretical and Applied Climatology, 2009,96(3):201-207.
[24]	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,(22):1-11.Hua L Z, Sun F Q, Chen J N, et al. Quantifying the cool-island effects of urban parks using Landsat-8imagery in a coastal city[J]. Xiamen, China. Acta Ecologica Sinica. 2020,(22):1-11.
[25]	Du H, Cai W, Xu Y, et al. Quantifying the cool island effects of urban green spaces using remote sensing Data[J]. Urban Forestry & Urban Greening, 2017,27:24-31.
[26]	雷金睿,陈宗铸,吴庭天,等.1989~2015年海口城市热环境与景观格局的时空演变及其相互关系[J]. 中国环境科学, 2019,39(4):1734-1743.Lei J R, Chen Z Z, Wu T T, et al. Spatio-temporal evolution and interrelationship between thermal environment and landscape patterns of Haikou City, 1989~2015[J]. China Environmental Science, 2019, 39(4):1734-1743.
[27]	Yu Z, Guo X, Jørgensen G, et al. How can urban green spaces be planned for climate adaptation in subtropical cities?[J]. Ecological Indicators, 2017,82:152-162.
[28]	任志彬.城市森林对城市热环境的多尺度调节作用研究-以长春市为例[D]. 长春:中国科学院东北地理与农业生态研究所, 2014.Ren Z B. Muti-scale effects of urban forest on urban thermal environment:A study in Changchun[D]. Changchun:North-East Institute of Geography and Agricultural Ecology, University of Chinese Academy of Science, 2014.
[29]	郑景云,尹云鹤,李炳元.中国气候区划新方案[J]. 地理学报. 2010, 65(1):3-12.Zheng J Y, Yin Y H, Li B Y. A new scheme for climate regionalization in China[J]. Acta Geographica Sinica, 2010,65(1):3-12.
[30]	常州市统计局.2019年常州市国民经济和社会发展统计公报[EB/OL]. http://tjj.changzhou.gov.cn/html/tjj/2020/OPOEMFCL_0316/16217.html.Changzhou bureau of statistics. 2019Changzhou national economic and social development statistical bulletin[EB/OL]. http://tjj.changzhou.gov.cn/html/tjj/2020/OPOEMFCL_0316/16217.html.
[31]	董芹,霍焱,雷正翠,等.常州气候变暖特点及气候变暖对灾害天气影响[C]//中国气象学会2008年年会气候变化分会场,北京:2008.Dong Q, Huo Y, Lei Z C, et al. Characteristics of climate warming in Changzhou and its impacts on disaster weather[C]//China meteorological society's 2008 annual conference on climate change. Beijing:2008.
[32]	栾庆祖,叶彩华,刘勇洪,等.城市绿地对周边热环境影响遥感研究——以北京为例[J]. 生态环境学报, 2014,23(2):252-261.Luan Q Z, Ye C H, Liu Y H, et al. Effect of urban green land on thermal environment of surroundings based on remote sensing:A case study in Beijing, China[J]. Ecology and Environmental Sciences, 2014,23(2):252-261.
[33]	张菲菲,张爱民.城市绿地融合度与城市空气质量的相关性分析[C]//中国城市规划年会, 2017.Zhang F F, Zhang A M. Correlation analysis of urban green space integration and urban air quality[C]//Annual national planing conference 2017. Dongguan:China.
[34]	冯悦怡,胡潭高,张力小.城市公园景观空间结构对其热环境效应的影响[J]. 生态学报, 2014,34(12):3179-3187.Feng Y Y, Hu T G, Zhang L X. Impacts of structure characteristics on the thermal environment effect of city parks[J]. Acta Ecologica Sinica, 2014,34(12):3179-3187.
[35]	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):129-138,168.Kan Z H, Liu C S, Li Z J. Retrieval of land surface temperature based on Landsat-8thermal infrared data and heat island effect analysis over the Taihu Lake region[J]. Journal of East China Normal University (Natural Science). 2016,(4):129-138,168.
[36]	Schober P, Boer C, Schwarte L A. Correlation coefficients:appropriate use and interpretation[J]. Anesthesia & Analgesia, 2018,126(5):1763-1768.
[37]	Fan H, Yu Z, Yang G, et al. How to cool hot-humid (Asian) cities with urban trees? An optimal landscape size perspective[J]. Agricultural and Forest Meteorology, 2019,265:338-348.
[38]	Qiu K, Jia B. The roles of landscape both inside the park and the surroundings in park cooling effect[J]. Sustainable Cities and Society, 2020,52:10.1016/j.scs.2019.101864.
[39]	Xu L, Yue W. A study on thermal environment effect of urban park landscape[J]. Acta Ecol Sinica, 2008,28(4):1702-1710.
[40]	Zhou W, Qian Y, Li X, et al. Relationships between land cover and the surface urban heat island:seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures[J]. Landscape Ecology, 2014,29(1):153-167.
[41]	Sekertekin A, Zadbagher E. Simulation of future land surface temperature distribution and evaluating surface urban heat island based on impervious surface area[J]. Ecological Indicators, 2021, 122:10.1016/j.ecolind.2020.107230.
[42]	Morabito M, Crisci A, Guerri G, et al. Surface urban heat islands in Italian metropolitan cities:Tree cover and impervious surface influences[J]. Science of the Total Environment, 2021,751:10.1016/j.scitotenv.2020.142334.