Yang Wangming, Chen Bing, Cui Xuefeng
State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
Int J Environ Res Public Health. 2014 Apr 14;11(4):4066-77. doi: 10.3390/ijerph110404066.
Anthropogenic heat generated by human activity contributes to urban and regional climate warming. Due to the resolution and accuracy of existing anthropogenic heat data, it is difficult to analyze and simulate the corresponding effects. This study exploited a new method to estimate high spatial and temporal resolutions of anthropogenic heat based on long-term data of energy consumption and the US Air Force Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) data from 1992 to 2010 across China. Our results showed that, throughout the entire study period, there are apparent increasing trends in anthropogenic heat in three major metropoli, i.e., the Beijing-Tianjin region, the Yangzi River delta and the Pearl River delta. The annual mean anthropogenic heat fluxes for Beijing, Shanghai and Guangzhou in 2010 were 17 Wm⁻², 19 and 7.8 Wm⁻², respectively. Comparisons with previous studies indicate that DMSP-OLS data could provide a better spatial proxy for estimating anthropogenic heat than population density and our analysis shows better performance at large scales for estimation of anthropogenic heat.
人类活动产生的人为热导致城市和区域气候变暖。由于现有人为热数据的分辨率和准确性，难以分析和模拟相应的影响。本研究利用一种新方法，基于1992年至2010年中国能源消耗的长期数据以及美国空军国防气象卫星计划业务线扫描系统（DMSP - OLS）数据，估算人为热的高时空分辨率。我们的结果表明，在整个研究期间，北京 - 天津地区、长江三角洲和珠江三角洲这三大都市圈的人为热有明显增加趋势。2010年北京、上海和广州的年平均人为热通量分别为17 Wm⁻²、19 Wm⁻²和7.8 Wm⁻²。与先前研究的比较表明，DMSP - OLS数据在估算人为热方面比人口密度能提供更好的空间代理，并且我们的分析显示在大尺度上估算人为热具有更好的性能。
