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2000年至2018年中国中原城市群不透水表面时空特征变化及其影响因素分析

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.

作者信息

Zhao Chunhong, Zhang Huabo, Wang Haiying, Zhao Jinyi

机构信息

The College of Geography and Environment Science, Henan University, Kaifeng, 475004, China.

Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng, 475004, China.

出版信息

Heliyon. 2023 Aug 1;9(8):e18849. doi: 10.1016/j.heliyon.2023.e18849. eCollection 2023 Aug.

DOI:10.1016/j.heliyon.2023.e18849
PMID:37600372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10432980/
Abstract

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.

摘要

不透水表面面积(ISA)的变化是城市空间扩张的一个重要特征。了解城市不透水表面的时空变化特征及其影响因素,对城市的规划、管理和城市化发展具有重要意义。本文采用分辨率为30米的全球人工不透水表面数据集,基于ArcGIS平台进行数据计算与处理,采用MK趋势检验方法,引入动态度,对中原城市群(CPUA)的ISA变化特征进行定性和定量分析,并利用地理探测器分析ISA变化的影响因素。结果表明,2000年至2018年ISA动态度显著增强,增长了1.86倍,表明该时期CPUA向外扩张加速,城市发展迅速。2000 - 2018年期间,绿化覆盖面积对CPUA中ISA变化的解释力最强;同一因素在不同时期对ISA具有不同的解释力。2000 - 2009年期间,影响因素两两之间存在增强关系,包括双因素增强和非线性增强,其中绿化覆盖面积与人均GDP的交互作用较强,而2009 - 2018年期间,交通与其他因素之间的交互作用显著增强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/34881a33fe33/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/cd17e2fc09d0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/7dc5171c6137/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/8f28418845ef/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/78b8dd23bcd4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/2c532afcf6c4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/96551cddfea1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/ea4ea5157d8c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/4537242ae00c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/7530a643e1bf/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/01d4d685cad9/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/34881a33fe33/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/cd17e2fc09d0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/7dc5171c6137/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/8f28418845ef/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/78b8dd23bcd4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/2c532afcf6c4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/96551cddfea1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/ea4ea5157d8c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/4537242ae00c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/7530a643e1bf/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/01d4d685cad9/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c3/10432980/34881a33fe33/gr11.jpg

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本文引用的文献

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The Driving Mechanism of Urban Land Expansion from 2005 to 2018: The Case of Yangzhou, China.2005 年至 2018 年城市土地扩张的驱动机制:以中国扬州为例。
Int J Environ Res Public Health. 2022 Nov 28;19(23):15821. doi: 10.3390/ijerph192315821.
2
The Spatial Interaction Effect of Green Spaces on Urban Economic Growth: Empirical Evidence from China.绿色空间对城市经济增长的空间交互效应:来自中国的实证证据。
Int J Environ Res Public Health. 2022 Aug 19;19(16):10360. doi: 10.3390/ijerph191610360.
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[Temporal and spatial variations of impervious surface landscape pattern and the driving factors in Xiamen City, China].
[中国厦门市不透水表面景观格局的时空变化及其驱动因素]
Ying Yong Sheng Tai Xue Bao. 2020 Jan;31(1):230-238. doi: 10.13287/j.1001-9332.202001.018.
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