基于气候适应性的苏州留园景观要素研究

doi:10.3969/j.issn.1000-2006.201903011

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南京林业大学学报（自然科学版） ›› 2020, Vol. 44 ›› Issue (1): 145-153.doi: 10.3969/j.issn.1000-2006.201903011

基于气候适应性的苏州留园景观要素研究

熊瑶(), 张建萍, 严妍

南京林业大学艺术设计学院,江苏南京 210037

收稿日期:2019-03-04 修回日期:2019-06-06 出版日期:2020-02-08 发布日期:2020-02-02
作者简介:熊瑶( 350589643@qq.com),讲师,ORCID(0000-0002-4681-4195)。
基金资助:
国家自然科学基金青年项目(51408316);江苏省研究生培养创新工程项目(SJKY18_0317);江苏省研究生培养创新工程项目(SJKJ19_0908)

Research on the landscape elements of Lingering Garden based on climate adaptability

XIONG Yao(), ZHANG Jianping, YAN Yan

College of Art & Design, Nanjing Forestry University,Nanjing 210037,China

Received:2019-03-04 Revised:2019-06-06 Online:2020-02-08 Published:2020-02-02

摘要/Abstract

摘要：

【目的】借助微气候数字模拟软件,研究江南古典园林各景观要素的具体微气候效应,从微气候角度为江南古典园林造园要素的研究提供新的视角,为营造基于气候适应性的中小型园林空间提供理论依据。【方法】以苏州留园中部园林空间为研究对象,开展了微气候现场实测,探索冬夏两季研究对象的基本微气候特征和热环境参数的变化规律。基于实测数据,选取ENVI-met软件作为研究工具,进一步对留园进行景观要素的量变模拟,逐一解析水体面积、植被郁闭度、建筑密度及高度对微气候的影响规律。【结果】江南古典园林各景观要素对微气候的影响程度不同,3种要素对风环境都有一定程度的影响,而水体面积与郁闭度对温湿度的调节作用比景观建筑高度和密度的明显。前两者在日间均有较强的降温、增湿的作用,尤其在夏季中午时段影响最为显著,但对热环境的调节效能却并不随其参数增加而等比增大。【结论】根据风景园林地域特征设置各要素的合适阈值,才能在游园功能、景观感受与热舒适性间找到平衡,从而更加有效地调节庭园的风热环境。

关键词: 江南古典园林, 景观要素, 气候适应性, 数值模拟, 留园

Abstract:

【Objective】 This study provides a new perspective for research relating to the elements of classical gardening in areas south of the Yangtze River with respect to microclimate. With the help of microclimate digital simulation software, the specific microclimate effects of various landscape elements are investigated as a means of providing useful suggestions for the construction of small and medium-sized gardening spaces in the context of climate adaptability. 【Method】 The central part of the Suzhou Lingering Garden space was selected as the study area for micro-climate field measurements, which initially explored the basic microclimate characteristics and the changes in the thermal environment parameters during the winter and summer. Based on the preliminary measured data, we selected ENVI-met software to simulate the quantitative change in the landscape elements in the Lingering Garden, and to analyze the influence of the water area, vegetation canopy density, and building density and height on the microclimate. 【Result】 These three various landscape elements had different influences on the microclimate. They had a certain degree of influence on the wind environment, and the adjustment of the water area and vegetation canopy density to the temperature and humidity was significantly greater than that of the building height and density. The former two elements showed strong cooling and humidification effects during the daytime, especially during the summer afternoons, but the regulation effect on the thermal environment did not increase with an increase in its parameters.【Conclusion】 Using the appropriate thresholds for each element setting allows a balance to be attained among the garden function, the landscape experience, and the thermal comfort; thus allowing for a more effective regulation of the wind and heat environment of a garden.

Key words: classical garden in areas south of the Yangtze River, landscape elements, climate adaptability, numerical simulation, Lingering Garden

中图分类号:

TU986

熊瑶,张建萍,严妍. 基于气候适应性的苏州留园景观要素研究[J]. 南京林业大学学报（自然科学版）, 2020, 44(1): 145-153.

XIONG Yao, ZHANG Jianping, YAN Yan. Research on the landscape elements of Lingering Garden based on climate adaptability[J].Journal of Nanjing Forestry University (Natural Science Edition), 2020, 44(1): 145-153.DOI: 10.3969/j.issn.1000-2006.201903011.

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参考文献 24

[1]	王振, 李保峰. 基于微气候动态信息技术的城市街区环境特征研究[J]. 动感(生态城市与绿色建筑) 2011(2):28-32.
	WANG Z, LI B F. Study on the urban blocks’ environmental characteristics based on the analysis technology of dynamic information map for micro-climate[J]. Eco-City and Green Building, 2011(2):28-32.
[2]	VICTOU O. Design with climate: bioclimatic approach to architectural regionalism[M]. New York: Van Nostrand Reinhold, 1992:46.
[3]	徐小东. 基于生物气候条件的绿色城市设计生态策略研究[D]. 南京: 东南大学, 2005: 21-25.
	XU X D. Ecological strategy studies for green urban design based on bio-climatic conditions[D]. Nanjing: Southeast University, 2005: 21-25.
[4]	LANDSBERG H E. The urban climate [M]. London: Academic Press, 1981:75.
[5]	OLGYAY V. Design with climate: bioclimatic approach to architectural regionalism[M]. Princeton: Princeton University, 1963.
[6]	GIVONI B. Comfort, climate analysis and building design guidelines[J]. Energy and Buildings, 1992, 18(1):11-23. DOI: 10.1016/0378-7788(92)90047-k. doi: 10.1016/0378-7788(92)90047-k
[7]	KNEZ I, THORSSON S. Thermal, emotional and perceptual evaluations of a park: cross-cultural and environmental attitude comparisons[J]. Building and Environment, 2008, 43(9):1483-1490. DOI: 10.1016/j.buildenv.2007.08.002. doi: 10.1016/j.buildenv.2007.08.002
[8]	RATTI C, DI SABATINO S, BRITTER R. Urban texture analysis with image processing techniques: winds and dispersion[J]. Theoretical and Applied Climatology, 2006, 84(1/2/3):77-90. DOI: 10.1007/s00704-005-0146-z. doi: 10.1007/s00704-005-0146-z
[9]	LIN T P. Thermal perception, adaptation and attendance in a public square in hot and humid regions[J]. Building and Environment, 2009, 44(10):2017-2026. DOI: 10.1016/j.buildenv.2009.02.004. doi: 10.1016/j.buildenv.2009.02.004
[10]	COHEN P, POTCHTER O, MATZARAKIS A. Human thermal perception of coastal mediterranean outdoor urban environments[J]. Applied Geography, 2013, 37:1-10. DOI: 10.1016/j.apgeog.2012.11.001. doi: 10.1016/j.apgeog.2012.11.001
[11]	NIKOLOPOULOU M, LYKOUDIS S. Thermal comfort in outdoor urban spaces: analysis across different European countries[J]. Building and Environment, 2006, 41(11):1455-1470. DOI: 10.1016/j.buildenv.2005.05.031. doi: 10.1016/j.buildenv.2005.05.031
[12]	MIRZAEI P A, HAGHIGHAT F. Approaches to study urban heat island-abilities and limitations[J]. Building and Environment, 2010, 45(10):2192-2201. DOI: 10.1016/j.buildenv.2010.04.001. doi: 10.1016/j.buildenv.2010.04.001
[13]	BOURBIA F, BOUCHERIBA F. Impact of street design on urban microclimate for semiarid climate (Constantine)[J]. Renewable Energy, 2010, 35(2):343-347. DOI: 10.1016/j.renene.2009.07.017. doi: 10.1016/j.renene.2009.07.017
[14]	DING W W, TONG Z Y. An approach for simulating the street spatial patterns[J]. Building Simulation, 2011, 4(4):321-333. DOI: 10.1007/s12273-011-0055-2. doi: 10.1007/s12273-011-0055-2
[15]	YU C, HIEN W N. Thermal benefits of city parks[J]. Energy and Buildings, 2006, 38(2):105-120. DOI: 10.1016/j.enbuild.2005.04.003. doi: 10.1016/j.enbuild.2005.04.003
[16]	NASIR R A, AHMAD S S, AHMED A Z. Physical activity and human comfort correlation in an urban park in hot and humid conditions[J]. Procedia-Social and Behavioral Sciences, 2013, 105:598-609. DOI: 10.1016/j.sbspro.2013.11.063. doi: 10.1016/j.sbspro.2013.11.063
[17]	潘谷西. 江南理景艺术[M]. 南京: 东南大学出版社, 2003.
[18]	马杰, 李晓锋, 朱颖心. 住区微气候的数值模拟方法研究[J]. 太阳能学报, 2013, 34(12):2133-2138.
	MA J, LI X F, ZHU Y X. Numerical simulation of microclimate around residential buildings[J]. Acta Energiae Solaris Sinica, 2013, 34(12):2133-2138. DOI: 10.3969/j.issn.0254-0096.2013.12.015. doi: 10.3969/j.issn.0254-0096.2013.12.015
[19]	梁颢严, 肖荣波, 孟庆林. 城市开敞空间热环境调控规划方法研究: 以广东南海为例[J]. 中国园林, 2016, 32(12):86-91.
	LIANG H Y, XIAO R B, MENG Q L. Study on planning method of open space to improve urban thermal environment: a case of Nanhai District, Foshan, Guangdong[J]. Chinese Landscape Architecture, 2016, 32(12):86-91. DOI: 10.3969/j.issn.1000-6664.2016.12.018. doi: 10.3969/j.issn.1000-6664.2016.12.018
[20]	薛思寒, 肖毅强, 王琨. 湿热地区景观要素配置对园林热环境的影响研究[J]. 中国园林, 2018, 34(2):29-33.
	XUE S H, XIAO Y Q, WANG K. The effects of landscape element configuration on garden thermal environment in hot and humid regions[J]. Chinese Landscape Architecture, 2018, 34(2):29-33. DOI: 10.3969/j.issn.1000-6664.2018.02.006. doi: 10.3969/j.issn.1000-6664.2018.02.006
[21]	杨小山. 广州地区微尺度室外热环境测试研究[D]. 广州:华南理工大学, 2009:156-159.
	YANG X S. Research on micro-scale outdoor thermal environment test in Guangzhou area[D]. Guangzhou: South China University of Technology, 2009:156-159.
[22]	薛思寒. 基于气候适应性的岭南庭院空间要素布局模式研究[D]. 广州:华南理工大学, 2016:132-135.
	XUE S H. Study on the space elements layout pattern of the Lingnan Garden based on climate adaptation[D]. Guangzhou: South China University of Technology, 2016:132-135.
[23]	林波荣. 绿化对室外热环境影响的研究[D]. 北京:清华大学, 2004:61-62.
	LIN B R. Studies of greening’s effects on outdoor thermal environment[D]. Beijing: Tsinghua University, 2004:61-62.
[24]	刘滨谊, 林俊. 城市滨水带环境小气候与空间断面关系研究——以上海苏州河滨水带为例[J]. 风景园林 2015(6):46-54.
	LIU B Y, LIN J. Study on relationship between microclimate and space section of urban waterfront green belt a case study of riverfront green belt in Suzhou and Shanghai[J]. Landscape Architecture, 2015(6):46-54. DOI: 10.14085/j.fjyl.2015.06.0046.09. doi: 10.14085/j.fjyl.2015.06.0046.09

基于气候适应性的苏州留园景观要素研究

Research on the landscape elements of Lingering Garden based on climate adaptability

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