夏季城市地表高温区划的遥感监测研究  

Satellite-Based Surface High Temperature Regionalization Index in Summer City

作　　者：石涛 程向阳 张安伟 马菊 杨元建 

机构地区：[1]安徽省气象灾害防御技术中心,安徽合肥 [2]芜湖市气象局,安徽芜湖 [3]安徽省大气科学与卫星遥感重点实验室,安徽合肥

出　　处：《地球科学前沿（汉斯）》2017年第5期695-707,共13页Advances in Geosciences

基　　金：中国气象局气候变化专项(CCSF201726);国家自然科学基金项目(41205126);中国气象局人才专项;安徽省气象局创新团队计划;安徽省气象局科技发展基金(KM201520)共同资助。

摘　　要：本文基于MODIS地表温度产品和NPP-VIIRS夜间灯光遥感影像,应用时间序列谐波分析和相关性分析进行处理,以安徽省代表城市为例,研究了考虑空间化人口权重的夏季城市地表高温区划的卫星遥感监测指标。结果表明:时间序列谐波分析可以去除遥感影像中的云层遮挡现象,而且能较好地保留原始数据的重要特征信息,重新构成平滑的时间序列遥感影像。与以往的夜间灯光数据相比,NPP-VIIRS空间分辨率和辐射分辨率更高,由此得到的人口格网模型也更加接近实际人口分布。人口加权的城市地表高温区划指标相对于传统的单一地表高温区划指标,是一个形态分布相对稳定、可操作性较强的应用指标,利用该指标体系能够有效进行城市地表高温灾害的区划评估,继而进行城市规划管理或者推广节能减排技术,发展绿色生态环保技术缓解城市地表热环境格局不均衡造成和加剧的城市热岛效应和夏季高温热浪。In this paper, we processed surface temperature product of MODIS and night light remote sensing image of NPP-VIIRS covered Anhui province by the method of harmonic analysis of time series (HANTS) and correlation analysis. At the same time, we constructed the index of population weighted Urban Surface High Temperature Regionalization (IPWUSHTR), and we analyzed and studied the spatial distribution characteristics of urban thermal environment in summer. Results show: HANTS could remove the clouds from remote sensing images and well reserved the important characteristic information of the original data, to reconstruct the smooth time series of remote sensing images. Compared with the previous night light data, NPP-VIIRS had higher spatial resolution and radiometric resolution, and the population grid model thus obtained was closer to the actual population distribution. Relative to the traditional MODIS-based thermal environment index, IPWUSHTR was an indicator of stable distribution and convenient operation. In addition, we could use IPWUSHTR to carry out urban planning and management or promote energy-saving emission reduction technology, ultimately to ease the urban heat island effect and summer heat wave caused by imbalance of urban thermal environment pattern.

关 键 词：高温区划 城市热环境 地表温度 人口加权 谐波分析 

分 类 号：F2[经济管理—国民经济]