Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yuanzheng, Li, Jinyuan, Xu, Ao, Feng, Zhizhi, Hu, Chanjuan, Zhao, Guosong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1783713090439741440
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
work_keys_str_mv AT liyuanzheng spatialtemporalchangesandassociateddeterminantsofglobalheatingdegreedays
AT lijinyuan spatialtemporalchangesandassociateddeterminantsofglobalheatingdegreedays
AT xuao spatialtemporalchangesandassociateddeterminantsofglobalheatingdegreedays
AT fengzhizhi spatialtemporalchangesandassociateddeterminantsofglobalheatingdegreedays
AT huchanjuan spatialtemporalchangesandassociateddeterminantsofglobalheatingdegreedays
AT zhaoguosong spatialtemporalchangesandassociateddeterminantsofglobalheatingdegreedays