资源评价

城市土地利用与地面热效应时空变化特征的关系——以成都市为例

展开
  • 四川师范大学 a.西南土地资源评价与监测教育部重点实验室,b.地理与资源科学学院,成都 610068
彭文甫(1964- ),男,四川省乐山市人,副教授,博士,主要从事环境遥感研究。E-mail:pwfzh@126.com

收稿日期: 2011-01-01

  修回日期: 2011-05-17

  网络出版日期: 2011-10-20

基金资助

国家"863"计划项目(2009AA12Z140);国家科技重大专项(2009ZX07106);国家自然科学基金项目(40771144,40575035);四川省教育厅重点资助科研项目(09ZA088);四川师范大学科研基金(09KYL04)。

Relationship between Urban Land Use and Spatio-temporal Change Characteristics of Surface Heat Effect: A Case Study of Chengdu City

Expand
  • a. Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, b. Institute Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China

Received date: 2011-01-01

  Revised date: 2011-05-17

  Online published: 2011-10-20

摘要

利用2000—2008年TM/ETM+数据,基于遥感、GIS技术与人机交互式判读解译方法获取城市土地利用数据,运用单窗算法和空间建模方法定量反演城市地表温度;在此基础上,对城市土地利用与地面热效应时空变化特征的关系进行分析。结果表明:城市土地利用时空演变以耕地、林地向建设用地、水域转移导致面积快速下降与建设用地不断侵吞耕地为主要特征;土地利用变化导致地面低温区范围减少25.927×104 hm2,常温区和高温区面积分别增加12.093×104 hm2和5.834×104 hm2;高温区中建设用地面积比例最大,建设用地与水域、水田的平均温度分别达最高与最低;地表温度空间格局表现为各温度区呈不同形状的带状分布,热源密集分布在成都市城南高新区、城西住宅区、城中心商贸区以及城东的工业基地等区域,二环路外温度呈下降趋势;建设用地加剧了城市热效应,而水域则缓解了城市热效,不透水性与地表温度的反演结果呈较强的正相关性。因此,研究结论对于热岛效应研究、改善人居环境具有科学意义和应用价值。

本文引用格式

彭文甫, 周介铭, 罗怀良, 杨存建, 赵景峰 . 城市土地利用与地面热效应时空变化特征的关系——以成都市为例[J]. 自然资源学报, 2011 , 26(10) : 1738 -1749 . DOI: 10.11849/zrzyxb.2011.10.010

Abstract

The data for urban land use in Chengdu city was extracted by means of image interpretation based on RS data during 2000-2008. Land surface temperature from TM/ETM+data was retrieved and its spatial distribution was extracted based on Mono-window Algorithm and ERDAS spatial modeling. Urban heat effect of urban land use was analyzed. The result shows that the area of cultivated land and woodland is decreasing and the area of built-up land and water body is increasing within the study period. The spatio-temporal characteristics of urban land use evolvement were the speed of land use change was quick, land use intensity was notable, and the area of cultivated land was invaded due to built-up land occupation. Urban land use change led to the area of low temperature zone a decrease by about 25.927×104 hm2, the area of normal temperature zone and high temperature zone increase by about 12.093×104 hm2 and by about 5.834×104 hm2, respectively. The proportion of built-up land area in high temperature zone dominates absolutely. The average temperature of built-up land is the highest while that of water land and paddy field is the lowest. The spatial distribution pattern of surface temperature of all temperature zones is presented by strip distribution with different shapes. Heat resources in urban districts were densely spotted within the high-tech zone in southern Chengdu, uptown zone in the western, business and trade zone in the central, and industrial base zone in the eastern. The surface temperature of the second ring road was decreased from the downtown region. It is proved that the surface temperature became lower with the increase of distance from the inner city and the impervious surface getting lower at the same time; there is a positive correlation between surface temperature and impervious surface in Chengdu city with a correlation coefficient of 0.73. The spatial distribution of the isotherms with the response of permeable surface is significant. Thus, the built-up land in urban area has a notable heat effect and the heat effect retrieve of water body is huge. The study result has scientific meaning and application value for the evolvement study of urban heat island effect and improvement of human residence environment.

参考文献

[1] 杨英宝,苏伟忠,江南.基于遥感的城市热岛效应研究[J].地理与地理信息科学,2006,22(5):36-40. [2] 江学顶,夏北成.珠江三角洲城市群热环境空间格局动态[J].生态学报,2007,27(4):1461-1470. [3] 苏伟忠,杨英宝,杨桂山.南京市热场分布特征及其与土地利用/覆被关系研究[J].地理科学,2005,25(6):697-703. [4] 周红妹,周成虎,葛伟强,等.基于RS与GIS的城市热场分布规律研究[J].地理学报,2001,56(2):189-197. [5] 丁金才,张志凯,奚红,等.上海地区盛夏高温分布和热岛效应的初步研究[J].大气科学,2002,26(3):412-420. [6] 陈云浩,王洁,李晓兵.夏季城市热场的卫星遥感分析[J].国土资源遥感,2002(4):55-59. [7] Weng Q. A remote sensing - GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China [J]. International Journal of Remote Sensing,2001,22:1999-2014. [8] 张一平,李佑荣,彭贵芬,等.昆明城市发展对室内外平均气温影响的研究[J].地理科学,2001,21(3):272-277. [9] 何云玲,张一平,刘玉洪,等.昆明城市气候水平空间分布特征[J].地理科学,2002,22(6):724-729. [10] 许辉熙,但尚铭,何政伟,等.成都平原城市热岛效应的遥感分析[J].环境科学与技术,2007,30(8):21-23. [11] 覃志豪,ZHANG Ming-hua, Arnon Karnieli,等.用陆地卫星TM6 数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466. [12] http://baike.baidu.com/view/2585.htm . [13] Carlson T N, Arthur S T. The impact of land use/land cover changes due to urbanization on surface microclimate and hydrology: A satellite perspective [J]. Global and Planetary Change,2000,25(1):49-65.
文章导航

/