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Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days
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 an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229943/ https://www.ncbi.nlm.nih.gov/pubmed/34201057 http://dx.doi.org/10.3390/ijerph18126186 |
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author | Li, Yuanzheng Li, Jinyuan Xu, Ao Feng, Zhizhi Hu, Chanjuan Zhao, Guosong |
author_facet | Li, Yuanzheng Li, Jinyuan Xu, Ao Feng, Zhizhi Hu, Chanjuan Zhao, Guosong |
author_sort | Li, Yuanzheng |
collection | PubMed |
description | 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 PM(2.5) 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. |
format | Online Article Text |
id | pubmed-8229943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82299432021-06-26 Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days Li, Yuanzheng Li, Jinyuan Xu, Ao Feng, Zhizhi Hu, Chanjuan Zhao, Guosong Int J Environ Res Public Health Article 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 PM(2.5) 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. MDPI 2021-06-08 /pmc/articles/PMC8229943/ /pubmed/34201057 http://dx.doi.org/10.3390/ijerph18126186 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Yuanzheng Li, Jinyuan Xu, Ao Feng, Zhizhi Hu, Chanjuan Zhao, Guosong Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days |
title | Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days |
title_full | Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days |
title_fullStr | Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days |
title_full_unstemmed | Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days |
title_short | Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days |
title_sort | spatial-temporal changes and associated determinants of global heating degree days |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229943/ https://www.ncbi.nlm.nih.gov/pubmed/34201057 http://dx.doi.org/10.3390/ijerph18126186 |
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