| 基于TM影像的兰州市热岛效应及预测分析 |
| |
| 引用本文： | 张宁,张明军,周堂,王圣杰.基于TM影像的兰州市热岛效应及预测分析[J].城市环境与城市生态,2010,23(6):20-23. |
| |
| 作者姓名： | 张宁 张明军 周堂 王圣杰 |
| |
| 作者单位： | 西北师范大学地理与环境科学学院,兰州,730070;西北师范大学地理与环境科学学院,兰州,730070;中国科学院寒区旱区环境与工程研究所,兰州730000 |
| |
| 基金项目： | 国家自然科学基金项目（40701035 40631001 40571033）; 教育部新世纪优秀人才支持计划（NCET-10-0019）; 陇原青年创新人才扶持计划; 西北师范大学知识与科技创新工程创新团队项目（NWNU-KJCXGC-03-66）; 科研骨干培育项目（NWNU-KJCXGC-03-78）; 西北师范大学自然地理学省级重点学科资助 |
| |
| 摘 要： | 近些年来随着城市建设的高速发展,热岛效应越来越被人们所重视。采用2007年的TM遥感影像,分析了兰州市热岛效应热场强度的分布规律,并应用灰色模型对其未来发展趋势进行了预测。研究发现：兰州市热岛效应明显且稳定存在,热岛中心主要分布在城关区、七里河区人口密度大以及西固区工业聚集的地方;植被和水体有减弱热岛效应的作用。灰色关联度分析表明：人为因素对兰州城市热岛强度效应的影响相对突出;其次,在气象因子中,风速对城市热岛效应的形成和加重也起到重要的作用。灰色预测结果表明：兰州市热岛强度将会持续波动上升,2012年将达到3.826℃。
|
| 关 键 词： | Landsat TM 热岛效应 地温反演 灰色预测 兰州市 |
Urban Heat Island Effect in Lanzhou City and Its Prediction Based on TM Data |
| |
| ZHANG Ning,ZHANG Ming-jun,ZHOU Tang,WANG Sheng-jie.Urban Heat Island Effect in Lanzhou City and Its Prediction Based on TM Data[J].Urban Environment & Urban Ecology,2010,23(6):20-23. |
| |
| Authors: | ZHANG Ning ZHANG Ming-jun ZHOU Tang WANG Sheng-jie |
| |
| Institution: | 1(1.Geography and Environmental Sciences College of Northwest Normal University, Lanzhou 730070,China;2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China) |
| |
| Abstract: | With the fast-development of urban construction in recent years,the urban heat island（UHI）effect has caught a great attention.Using the TM image obtained in 2007,the distribution of the UHI in Lanzhou City was analyzed and future tendency of UHI was predicted with the Grey Prediction Model.The results indicated that the UHI in Lanzhou City was obvious and steady,the centers of UHI were distributed over Chengguan District,Qilihe District（with great density of population） and Xigu District（industrial section）.Vegetation and water could reduce the UHI effect.The Grey Relational Analysis showed that human activities were prominent for UHI;among all the meteorological factors,wind speed played an important role in the formation and enhancement of UHI effect.Meanwhile,the Grey Prediction Model stated that the UHI intensity of Lanzhou City would continue to rise along with fluctuation,and the temperature would rise to 3.826℃ in 2012. |
| |
| Keywords: | Landsat TM urban heat island LST effect retrieving grey prediction Lanzhou City |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
