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| 基于TM资料对上海区域热环境特征的分析 | |
| 引用本文： | 王桂玲,谈建国,崔林丽,王成林,金赛花.基于TM资料对上海区域热环境特征的分析[J].环境监控与预警,2012,4(6):10-17. |
| 作者姓名： | 王桂玲 谈建国 崔林丽 王成林 金赛花 |
| 作者单位： | 1. 解放军理工大学气象学院,江苏南京,211101 2. 上海市气象科学研究所,上海,200030 3. 上海市卫星遥感与测量应用中心,上海,201100 |
| 基金项目： | 国家自然科学基金项目（41105075）；上海市重点实验室建设项目（11DZ2260900）；解放军理工大学气象学院基础理论研究基金项目 |
| 摘 要： | 为了揭示城市热岛(UHI)形成机制,以TM卫星遥感资料为主要数据源,结合地面自动气象站(AWS)实测的气象资料,利用地表能量平衡参数化(SEBAL)的方法估算了净辐射通量和土壤热通量,分析了上海区域热环境特征.结果表明,TM地表温度与AWS实测地表温度具有较好的一致性；不同类型地表其地表温度差异明显,城市道路是城市中重要热量来源,绿地和水体面积的增加能有效地减轻城市热岛强度,同时也表明了卫星遥感资料在城市气候环境研究中的潜在价值. |
| 关 键 词： | 卫星遥感 TM 城市地表 净辐射通量 土壤热通量 |
| 收稿时间： | 2011/11/24 0:00:00 |
Analysis on Thermal Environmental Characteristics Based on Landsat TM Data in Shanghai Area |
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| WANG Gui-ling , TAN Jian-guo , CUI Lin-li , WANG Cheng-lin , JIN Sai-hua.Analysis on Thermal Environmental Characteristics Based on Landsat TM Data in Shanghai Area[J].Environmental Monitoring and Forewarning,2012,4(6):10-17. | |
| Authors: | WANG Gui-ling TAN Jian-guo CUI Lin-li WANG Cheng-lin JIN Sai-hua |
| Institution: | 1. Institute of Meteorology and Oceangraphy, PLA University of Science and Technology, Nanjing, Jiangsu 211101 , China; 2. Shanghai Center for Satellite Remote Sensing and Application, Shanghai, 201100, China; 3. Shanghai Meteorological Institute, Shanghai, 200030, China) |
| Abstract: | In order to further understand the mechanism of urban heat island (UHI) effect, the surface energy balance algorithm for land (SEBAL) was used to estimate the net radiation (Rn) and the ground heat fluxes (G) based on Landsat TM data and meteorological data observed by AWS (Automatic Weather Stations). The thermal characteristics in Shanghai area were analyzed with the calculated Rn and G. The results showed that the surface temperature from TM data was in good agreement with that from the AWS; the difference between surface temperatures of different land covers was prominent. The results further indicated that the traffic road was an important heat source in urban area. Enlarging green vegetation and water area can lessen the UHI effectively in urban area. This study also indicated the latent importance of remote sensing data for the further research on the urban climate and environment. |
| Keywords: | remote sensing Landsat TM urban area net radiation flux ground heat flux |
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