基于多源遥感信息的人为热排放量空间化——以浙江省为例

基于自上而下能源清单法,主要考虑工业、交通、建筑和人体新陈代谢这4个热源对人为热的贡献,估算了2010年浙江省68个县市的人为热排放总量.使用DMSP/OLS遥感夜间灯光数据以及阈值法提取出人为热排放的主要区域,并有效减少夜灯像元溢出效应的影响.利用夜间灯光数据和增强型植被指数(EVI)构建人居指数,基于各市县人为热排放总量与其行政区范围内人居指数累计值之间很强的相关关系建立人为热排放量空间化模型,获得了250m分辨率下浙江省2010年城市人为热通量的空间分布.结果显示浙江省各县市的平均人为热排放通量为5.5W/m²,城市高值区一般介于10~40W/m².栅格化的人为热数据可以为城市气候环境的数值模拟研究提供基础数据支持.

Spatialization of anthropogenic heat using multi-sensor remote sensing data: a case study of Zhejiang Province,East China

Using the top-down energy inventory method and considering the energy consumption from industry, transportation, buildings and human metabolism, total anthropogenic heat emissions from the 68 counties of Zhejiang Province in 2010 were calculated. The DMSP/OLS nighttime light data and the thresholding method were used to extract the main emission areas of anthropogenic heat and to reduce the overglow effect. High-resolution enhanced vegetation index (EVI) data were integrated with DMSP/OLS data to generate a human settlement index (HSI). Using the significant correlation between total anthropogenic heat emissions and cumulative HIS, the model for anthropogenic heat flux estimation was developed and implemented in Zhejiang Province. A gridded anthropogenic heat flux map was generated at a resolution of 250m×250m. The results show that the mean flux in the study area was 5.5W/m² with the high values between 10W/m² and 40W/m² in most urban areas. The gridded anthropogenic heat data can be served as an input in the simulation of urban climate and environment.