华东师范大学学报（自然科学版） >

2015 , Vol. 2015 >Issue 4: 123 - 131

DOI: https://doi.org/10.3969/j.issn.1000-5641.2015.04.013

地理学

杭州典型城市湿地温度效应的季节和类型差异

展开
  • 1. 西南大学 地理科学学院，重庆 400715;
    2. 华东师范大学 上海市城市化生态过程与生态恢复重点实验室，上海 200062;
    3. 杭州师范大学 理学院 遥感与地球科学研究院，杭州 311121; 
    4. 西南大学 经济管理学院，重庆 400715
张伟，男，博士，讲师，主要研究方向为土地利用及城市生态.E-mail: zwei1997@126.com.

收稿日期: 2014-08-01

  网络出版日期: 2015-09-25

基金资助

国家自然科学基金（41101039）；浙江省自然科学基金（LY14D010007）；上海市城市化生态过程与生态恢复重点实验室开放基金（SHUES2014A01）；浙江省重点科技创新团队项目（2010R5003915）；浙江省地理信息中心资助项目

收起

Type and seasonal difference of urban wetland’s temperature effect in Hangzhou

Expand

Received date: 2014-08-01

  Online published: 2015-09-25

Fold

摘要

以杭州市四个典型城市湿地为研究对象，通过城市地表温度（LST）的遥感反演和GIS空间分析，探讨了季节和湿地类型对城市湿地局地温度效应的影响.研究发现：①湿地温度效应的季节差异非常明显，季节因素对湿地温度效应的类型、范围和幅度及梯度变化等都有重要影响.②传统的湿地分类与湿地温度效应之间没有直接联系；湿地的面积、周长等是湿地温度效应的重要影响因素；湿地形状对温度效应的影响并不明显.③对各湿地单位水体面积所产生的温度效应进行了比较分析，发现京杭大运河温度效应的效率最高.湿地面积和温度效应的关系极有可能是呈S型曲线的模式.

关键词： 城市湿地; 温度效应; 遥感; 季节; 湿地类型; 杭州

本文引用格式

张伟,蒋锦刚,朱玉碧 . 杭州典型城市湿地温度效应的季节和类型差异[J]. 华东师范大学学报（自然科学版）, 2015 , 2015(4) : 123 -131 . DOI: 10.3969/j.issn.1000-5641.2015.04.013

Abstract

This paper takes four typical urban wetlands of Hangzhou for example and discusses the influence of season and wetland type on the temperature effect of urban wetland by means of remote sensing and GIS spatial analysis. The results show that: (1) the seasonal difference of wetland’s temperature effect is very obvious. Seasonal factors have an important influence on the type, range, amplitude and gradient change of urban wetland’s temperature effect. (2) There are no direct relationships between traditional classification system for wetland types and urban wetland’s temperature effect. Wetland’s size and perimeter have an important influence on its temperature effect, while the influence of wetland’s shape on the temperature effect is not obvious. (3) Comparing the efficiency of different wetland’s temperature effects, we find that the efficiency of Grande Canal is the highest. The relationship between wetland size and temperature effect is most likely to be S curve model.

Key words： urban wetland; temperature effect; remote sensing; seasonal; wetland type; Hangzhou

参考文献

［1］ARNFIELD A J. Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island［J］. International Journal of Climatology, 2003, 23(1): 126.

［2］戴晓燕, 张利权, 过仲阳, 等. 上海城市热岛效应形成机制及空间格局［J］. 生态学报, 2009, 29(7): 39954004. 

［3］TOMLINSON C J, CHAPMAN L, THORNES J E, et al. Derivation of Birmingham's summer surface urban heat island from MODIS satellite images［J］. International Journal of Climatology, 2012, 32(2): 214224.

［4］VOOGT J A, OKE T R. Thermal remote sensing of urban climates［J］. Remote sensing of environment, 2003, 86(3): 370384.

［5］CHEN X L, ZHAO H M, LI P X, et al. Remote sensing imagebased analysis of the relationship between urban heat island and land use/cover changes［J］. Remote sensing of environment, 2006, 104(2): 133146.

［6］DIXON P G, MOTE T L. Patterns and causes of Atlanta's urban heat islandinitiated precipitation［J］. Journal of Applied Meteorology, 2003, 42(9): 12731284.

［7］TAKEBAYASHI H, MORIYAMA M. Surface heat budget on green roof and high reflection roof for mitigation of urban heat island［J］. Building and Environment, 2007, 42(8): 29712979.

［8］MIAO S, CHEN F, LEMONE M A, et al. An observational and modeling study of characteristics of urban heat island and boundary layer structures in Beijing［J］. Journal of Applied Meteorology and Climatology, 2009, 48(3): 484501.

［9］SAARONI H, ZIV B. The impact of a small lake on heat stress in a Mediterranean urban park: the case of Tel Aviv, Israel ［J］. International journal of Biometeorology, 2003, 47(3): 156165.

［10］CAO X, ONISHI A, CHEN J, et al. Quantifying the cool island intensity of urban parks using ASTER and IKONOS data［J］. Landscape and urban planning, 2010, 96(4): 224231.

［11］SUN R, CHEN A, CHEN L, et al. Cooling effects of wetlands in an urban region: The case of Beijing［J］. Ecological Indicators, 2012, 20: 5764.

［12］KARDINAL JUSUF S, WONG N H, HAGEN E, et al. The influence of land use on the urban heat island in Singapore［J］. Habitat International, 2007, 31(2): 232242.

［13］NARITA K, MIKAMI T, SUGAWARA H, et al. Coolisland and cold airseeping phenomena in an urban park, Shinjuku Gyoen, Tokyo［J］. Geographical Review of Japan, 2004, 77(5): 403420.

［14］ROBITU M, MUSY M, INARD C, et al. Modeling the influence of vegetation and water pond on urban microclimate［J］. Solar Energy, 2006, 80(4): 435447.

［15］傅抱璞. 我国不同自然条件下的水域气候效应［J］. 地理学报, 1997, 52(3): 246252.

［16］李书严, 轩春怡, 李伟, 等. 城市中水体的微气候效应研究［J］. 大气科学, 2008, 32(3): 552560.

［17］KODAMA Y. The influence of Lake Minchumina, Interior Alaska, on its surrounding［J］. Met Geoph Biod, 1983,33: 19918.

［18］CHVAEZ R S. Imgaebased atmospheric coerretion revisited and improved［J］. Photogrmametric Engineering and Remote Sensing,1996, 62(9):10251036.

［19］JIMNEZMUOZ J C, SOBRINO J A. A generalized singlechannel method for retrieving land surface temperature from remote sensing data［J］. Journal of Geophysical Research: Atmospheres, 2003, 108(D22): 19842012.

［20］JIMNEZMUOZ J C, CRISTBAL J, SOBRINO J A, et al. Revision of the singlechannel algorithm for land surface temperature retrieval from Landsat thermalinfrared data［J］.IEEE Trans Geosci Remote Sens, 2009, 47(1):339349.
Options
文章导航

/

〈 〉