Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data
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 interacti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/1/198 |
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| author | Dong Xu Jie Cheng Shen Xu Jing Geng Feng Yang He Fang Jinfeng Xu Sheng Wang Yubai Wang Jincai Huang Rui Zhang Manqing Liu Haixing Li |
| author_facet | Dong Xu Jie Cheng Shen Xu Jing Geng Feng Yang He Fang Jinfeng Xu Sheng Wang Yubai Wang Jincai Huang Rui Zhang Manqing Liu Haixing Li |
| author_sort | Dong Xu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:22:54Z |
| format | Article |
| id | doaj.art-3381c85a0f854d808d7bc149e8b2c8a3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:22:54Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3381c85a0f854d808d7bc149e8b2c8a32023-11-23T12:14:42ZengMDPI AGRemote Sensing2072-42922022-01-0114119810.3390/rs14010198Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing DataDong Xu0Jie Cheng1Shen Xu2Jing Geng3Feng Yang4He Fang5Jinfeng Xu6Sheng Wang7Yubai Wang8Jincai Huang9Rui Zhang10Manqing Liu11Haixing Li12Zhejiang Climate Center, Hangzhou 310052, ChinaState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaSchool of Psychological and Cognitive Sciences, Peking University, Beijing 100871, ChinaAcademician Workstation of Zhai Mingguo, University of Sanya, Sanya 572000, ChinaSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaZhejiang Climate Center, Hangzhou 310052, ChinaCollege of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, ChinaCollege of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, ChinaCollege of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, ChinaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Shenzhen University, Shenzhen 518060, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, ChinaState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaCollege of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, ChinaThe 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.https://www.mdpi.com/2072-4292/14/1/198M-RSEQIDMSPentropy methodcoupling coordination degree modelremote sensing dataurbanization |
| spellingShingle | Dong Xu Jie Cheng Shen Xu Jing Geng Feng Yang He Fang Jinfeng Xu Sheng Wang Yubai Wang Jincai Huang Rui Zhang Manqing Liu Haixing Li Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data Remote Sensing M-RSEQI DMSP entropy method coupling coordination degree model remote sensing data urbanization |
| title | Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data |
| title_full | Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data |
| title_fullStr | Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data |
| title_full_unstemmed | Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data |
| title_short | Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data |
| title_sort | understanding the relationship between china s eco environmental quality and urbanization using multisource remote sensing data |
| topic | M-RSEQI DMSP entropy method coupling coordination degree model remote sensing data urbanization |
| url | https://www.mdpi.com/2072-4292/14/1/198 |
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