基于TM数据的煤矿区热环境效应及其生态意义  

Thermal environmental effect of coal mining area and its ecological significance based on TM data

作　　者：胡文亮[1] 赵萍[2] 董张玉[1] 

机构地区：[1]安徽师范大学国土资源与旅游学院,安徽芜湖241000 [2]合肥工业大学资源与环境工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2010年第5期741-744,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(40771207);安徽省教育厅自然科学基金资助项目(KJ2007B219);安徽省教育厅教学研究资助项目(2007JYXM208);合肥工业大学博士学位专项基金资助项目;合肥工业大学科学研究发展基金资助项目(GD-BJ2009-044)

摘　　要：安徽省凤台县是我国重要的新兴能源基地之一,煤矿分布密集,煤矿区域效应显著。文章选用2007年4月3日的Landsat-5 TM数据,利用单窗算法反演地表温度,由此获取地表温度分级图,计算热场变异指数,并与植被覆盖度进行相关性分析。研究表明,研究区存在明显的热岛效应,矿区、城区、工业区和部分山区,植被覆盖度低,温度较高,热场变异指数和植被覆盖度呈较好的负相关性,可以作为反映区域生态环境的重要因子。Fengtai County in Anhui Province is one of important rising energy bases in China with distribution-intensive coal mines,and the regional effect of coal mines is significant in this area.In this paper,based on the Landsat-5 TM data of April 3rd,2007,the classified map of surface temperature and thermal field variance index are worked out by using single-window algorithm to retrieve the surface temperature.Then the correlation analysis is made between the thermal field variance index and vegetation coverage degree.The research shows that the obvious heat-island effect exists in Fengtai County,mainly in mining areas,urban areas,industrial areas and some mountainous areas where vegetation coverage degree is lower and the surface temperature is higher.There is better negative correlation between the thermal field variance index and vegetation coverage degree,which serves as an important ecological factor reflecting regional ecological environment.

关 键 词：TM影像 煤矿区热环境效应 单窗算法 热场变异指数 生态因子 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置] X322[自动化与计算机技术—控制科学与工程]