Understanding the Relationship between China's Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data

Xu, Dong1,2,3,4; Cheng, Jie2,3; Xu, Shen5; Geng, Jing6; Yang, Feng7; Fang, He1; Xu, Jinfeng4; Wang, Sheng4; Wang, Yubai4; Huang, Jincai8; Zhang, Rui9; Liu, Manqing2,3; Li, Haixing4

2022

10.3390/rs14010198

REMOTE SENSING   影响因子和分区

2072-4292

The rapid development of urbanization and population growth in China has posed a major threat to the green sustainable development of the ecological environment. However, the impact of urbanization on the eco-environmental quality (EEQ) in China remains to be developed. Understanding their interactive coupling mechanism is of great significance to achieve the urban sustainable development goals. By using multi-source remote sensing data and the coupling coordination degree model (CCDM), we intended to answer the question "What are the temporal and spatial characteristics of urbanization and EEQ in China on the pixel scale during 2000-2013, and what is the coupling mechanism between the urbanization and the EEQ?". To answer these questions, we explored the coupling mechanism between urbanization and the EEQ in China with a combined mathematical and graphics model. The results show that the urbanization and the coupling coordination degree (CCD) of the whole region continually increased from 2000 to 2013, especially in the three major urban agglomerations, with a spatial distribution pattern that was "high in the east and low in the west". Most importantly, from 2000 to 2013, the CCD type of cities in China gradually evolved from uncoordinated cities to coordinated cities. Additionally, the decisive factor affecting the CCD from 2000 to 2013 was the development of urbanization, and the degree at which urbanization had an impact on CCD was about 8.4 times larger than that of the EEQ. At the same time, the rapid urbanization that has occurred in some areas has led to a significant decline in the EEQ, thus indicating that China needs to increase its protection of the ecological environment while pursuing social and economic development in the future. This study makes up for the deficiencies in the existing literature and investigates the long-term coupling of the EEQ and urbanization in China, thereby providing a new research perspective for the sustainable development of China and even the world in the future.

M-RSEQI DMSP entropy method coupling coordination degree model remote sensing data urbanization

SCI ; EI ; SSCI

英语

其他

Youth Program of National Natural Science Foundation of Zhejiang Province[LQ21D060001] ; Hainan Provincial Natural Science Foundation of China[420RC673] ; Science and Technology Plan Project of Zhejiang Meteorological Bureau[2021YB07] ; Fengyun Application Pioneering Project[FY-APP-2021.0105] ; National Natural Science Foundation of China[42176180]

Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology

Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology

WOS:000752919600001

MDPI

20220111426560

Ecology ; Planning ; Remote sensing ; Sustainable development

Ecology and Ecosystems:454.3 ; Management:912.2

Web of Science

1.Zhejiang Climate Ctr, Hangzhou 310052, Peoples R China
2.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
3.Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing 100875, Peoples R China
4.Nanjing Tech Univ, Coll Geomat Sci & Technol, Nanjing 211816, Peoples R China
5.Peking Univ, Sch Psychol & Cognit Sci, Beijing 100871, Peoples R China
6.Univ Sanya, Acad Workstn Zhai Mingguo, Sanya 572000, Peoples R China
7.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
8.Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China
9.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China

Xu, Dong,Cheng, Jie,Xu, Shen,et al. Understanding the Relationship between China's Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data[J]. REMOTE SENSING,2022,14(1).

Xu, Dong.,Cheng, Jie.,Xu, Shen.,Geng, Jing.,Yang, Feng.,...&Li, Haixing.(2022).Understanding the Relationship between China's Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data.REMOTE SENSING,14(1).

Xu, Dong,et al."Understanding the Relationship between China's Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data".REMOTE SENSING 14.1(2022).