Cargando…

Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018

The change of the impervious surface area (ISA) is an important feature of urban spatial expansion. Understanding the spatial and temporal change characteristics of urban impervious surfaces and their influencing factors is of great significance to the planning, management, and urbanization developm...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Chunhong, Zhang, Huabo, Wang, Haiying, Zhao, Jinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432980/
https://www.ncbi.nlm.nih.gov/pubmed/37600372
http://dx.doi.org/10.1016/j.heliyon.2023.e18849
_version_ 1785091547695415296
author Zhao, Chunhong
Zhang, Huabo
Wang, Haiying
Zhao, Jinyi
author_facet Zhao, Chunhong
Zhang, Huabo
Wang, Haiying
Zhao, Jinyi
author_sort Zhao, Chunhong
collection PubMed
description The change of the impervious surface area (ISA) is an important feature of urban spatial expansion. Understanding the spatial and temporal change characteristics of urban impervious surfaces and their influencing factors is of great significance to the planning, management, and urbanization development of cities. This paper adopts a global artificial impervious surface dataset, with a resolution of 30 m, calculates and processes the data based on the ArcGIS platform, adopts the MK trend test method, introduces the dynamic degree, qualitatively and quantitatively analyses the changing characteristics of the ISA in the Central Plains Urban Agglomeration (CPUA), and analyzes the influencing factors of ISA changes using GeoDetector. The results show that the ISA dynamic degree was significantly enhanced from 2000 to 2018, which increased 1.86 times, indicating the accelerated outward expansion of the CPUA and the rapid level of urban development during that period. The explanatory power of the greenery coverage area on the change of the ISA in the CPUA during 2000–2018 was the strongest; the same factor has different explanatory powers for the ISA in different periods. The influencing factors have an enhanced relationship between two and two, including two-factor enhancement and nonlinear enhancement, in 2000–2009, during which the interaction level of the greenery coverage area and the GDP per capita was strong, while from 2009 to 2018, the interaction between transportation and other factors was significantly strong.
format Online
Article
Text
id pubmed-10432980
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-104329802023-08-18 Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018 Zhao, Chunhong Zhang, Huabo Wang, Haiying Zhao, Jinyi Heliyon Research Article The change of the impervious surface area (ISA) is an important feature of urban spatial expansion. Understanding the spatial and temporal change characteristics of urban impervious surfaces and their influencing factors is of great significance to the planning, management, and urbanization development of cities. This paper adopts a global artificial impervious surface dataset, with a resolution of 30 m, calculates and processes the data based on the ArcGIS platform, adopts the MK trend test method, introduces the dynamic degree, qualitatively and quantitatively analyses the changing characteristics of the ISA in the Central Plains Urban Agglomeration (CPUA), and analyzes the influencing factors of ISA changes using GeoDetector. The results show that the ISA dynamic degree was significantly enhanced from 2000 to 2018, which increased 1.86 times, indicating the accelerated outward expansion of the CPUA and the rapid level of urban development during that period. The explanatory power of the greenery coverage area on the change of the ISA in the CPUA during 2000–2018 was the strongest; the same factor has different explanatory powers for the ISA in different periods. The influencing factors have an enhanced relationship between two and two, including two-factor enhancement and nonlinear enhancement, in 2000–2009, during which the interaction level of the greenery coverage area and the GDP per capita was strong, while from 2009 to 2018, the interaction between transportation and other factors was significantly strong. Elsevier 2023-08-01 /pmc/articles/PMC10432980/ /pubmed/37600372 http://dx.doi.org/10.1016/j.heliyon.2023.e18849 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Zhao, Chunhong
Zhang, Huabo
Wang, Haiying
Zhao, Jinyi
Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018
title Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018
title_full Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018
title_fullStr Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018
title_full_unstemmed Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018
title_short Analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the Central Plains Urban Agglomeration of China from 2000 to 2018
title_sort analysis of changes in the spatiotemporal characteristics of impervious surfaces and their influencing factors in the central plains urban agglomeration of china from 2000 to 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432980/
https://www.ncbi.nlm.nih.gov/pubmed/37600372
http://dx.doi.org/10.1016/j.heliyon.2023.e18849
work_keys_str_mv AT zhaochunhong analysisofchangesinthespatiotemporalcharacteristicsofimpervioussurfacesandtheirinfluencingfactorsinthecentralplainsurbanagglomerationofchinafrom2000to2018
AT zhanghuabo analysisofchangesinthespatiotemporalcharacteristicsofimpervioussurfacesandtheirinfluencingfactorsinthecentralplainsurbanagglomerationofchinafrom2000to2018
AT wanghaiying analysisofchangesinthespatiotemporalcharacteristicsofimpervioussurfacesandtheirinfluencingfactorsinthecentralplainsurbanagglomerationofchinafrom2000to2018
AT zhaojinyi analysisofchangesinthespatiotemporalcharacteristicsofimpervioussurfacesandtheirinfluencingfactorsinthecentralplainsurbanagglomerationofchinafrom2000to2018