State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, Shaanxi, China.
Sci Data. 2019 Jul 31;6(1):139. doi: 10.1038/s41597-019-0143-1.
Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human-environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating long-term global anthropogenic heat flux (AHF) challenging. Thus, using high-resolution population density data (30 arc-second) and a top-down inventory-based approach, this study developed a new global gridded AHF dataset covering 1970-2050 based historically on energy consumption data from the British Petroleum (BP); future projections were built on estimated future energy demands. The globally averaged terrestrial AHFs were estimated at 0.05, 0.13, and 0.16 W/m in 1970, 2015, and 2050, respectively, but varied greatly among countries and regions. Multiple validation results indicate that the past and future global gridded AHF (PF-AHF) dataset has reasonable accuracy in reflecting AHF at various scales. The PF-AHF dataset has longer time series and finer spatial resolution than previous data and provides powerful support for studying long-term climate change at various scales.
探索全球人为热及其对气候变化的影响对于更好地理解由能源消耗增长引起的人类-环境相互作用是必要且有意义的。然而，区域能源消耗的变化和有限的数据可用性使得估算长期全球人为热通量（AHF）具有挑战性。因此，本研究利用高分辨率的人口密度数据（30 弧秒）和自上而下的基于清单的方法，根据英国石油公司（BP）的能源消耗数据，从历史上开发了一个新的涵盖 1970-2050 年的全球网格化 AHF 数据集；未来的预测是基于对未来能源需求的估计。1970 年、2015 年和 2050 年，全球陆地 AHF 分别估计为 0.05、0.13 和 0.16 W/m，但在国家和地区之间差异很大。多项验证结果表明，过去和未来的全球网格化 AHF（PF-AHF）数据集在反映各种尺度的 AHF 方面具有合理的准确性。PF-AHF 数据集具有比以往数据更长的时间序列和更精细的空间分辨率，为研究各种尺度的长期气候变化提供了有力支持。
