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全球热日数的时空变化及其相关决定因素。

Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days.

机构信息

School of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China.

Academician Laboratory for Urban and Rural Spatial Data Mining of Henan Province, Zhengzhou 450046, China.

出版信息

Int J Environ Res Public Health. 2021 Jun 8;18(12):6186. doi: 10.3390/ijerph18126186.

Abstract

The heating degree days (HDDs) could indicate the climate impact on energy consumption and thermal environment conditions effectively during the winter season. Nevertheless, studies on the spatial-temporal changes in global HDDs and their determinants are scarce. This study used multi-source data and several methods to explore the rules of the spatial distribution of global HDDs and their interannual changes over the past 49 years and some critical determinants. The results show that global HDDs generally became larger in regions with higher latitudes and altitudes. Most global change rates of HDDs were negative ( < 0.10) and decreased to a greater extent in areas with higher latitudes. Most global HDDs showed sustainability trends in the future. Both the HDDs and their change rates were significantly partially correlated with latitude, altitude, mean albedo, and EVI during winter, annual mean PM concentration, and nighttime light intensity ( = 0.000). The HDDs and their change rates could be simulated well by the machine learning method. Their RMSEs were 564.08 °C * days and 3.59 °C * days * year, respectively. Our findings could support the scientific response to climate warming, the construction of living environments, sustainable development, etc.

摘要

采暖度日数(HDD)可以有效反映冬季气候对能源消耗和热环境条件的影响。然而,关于全球 HDD 的时空变化及其决定因素的研究还很少。本研究利用多源数据和多种方法,探讨了过去 49 年全球 HDD 空间分布规律及其年际变化,以及一些关键决定因素。结果表明,全球 HDD 普遍在高纬度和高海拔地区较大。大多数全球 HDD 的变化率为负(<0.10),且在高纬度地区降幅较大。未来大多数地区的全球 HDD 都呈现出可持续发展的趋势。冬季全球 HDD 及其变化率与纬度、海拔、平均反照率、EVI 以及年平均 PM 浓度和夜间灯光强度呈显著的部分相关关系(=0.000)。机器学习方法可以很好地模拟 HDD 及其变化率,其 RMSE 分别为 564.08°Cdays 和 3.59°Cdays*year。本研究结果可为应对气候变暖、人居环境建设、可持续发展等提供科学支撑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84d2/8229943/8edbf1f6d3cb/ijerph-18-06186-g001.jpg

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