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

机译:空间变化和全球热度天的相关决定因素

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摘要

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 (p < 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 PM2.5 concentration, and nighttime light intensity (p = 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−1, respectively. Our findings could support the scientific response to climate warming, the construction of living environments, sustainable development, etc.
机译:加热度天(HDD)可以在冬季有效地表明气候对能量消耗和热环境条件的影响。然而,关于全球硬盘及其决定因素的空间变化的研究是稀缺的。这项研究使用了多源数据和几种方法来探讨全球硬盘的空间分布规则及过去49年的际变化以及一些关键决定因素。结果表明,全球硬盘在具有更高纬度和高度的地区通常变得更大。 HDD的大多数全球变化率是阴性(P <0.10),在具有更高纬度的地区更大程度地降低。大多数全球硬盘显示未来的可持续发展趋势。 HDDS及其变化率都与冬季,年平均PM2.5浓度和夜间光强度(P = 0.000)显着与纬度,海拔高度,平均玻璃和EVI相关。机器学习方法可以很好地模拟HDD及其变化率。他们的RMSE分别为564.08°C *天和3.59°C *天*年1。我们的调查结果可以支持对气候变暖,生活环境建设,可持续发展等的科学反应。

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