Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China
Abstract Xiong’an New Area was established as a state-level new area in 2017 and serves as a typical representative area for studying the ecological evolution of rural areas under rapid urbanization in China. Remote sensing-based ecological index (RSEI) is a regional eco-environmental quality (EEQ)...
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Nature Portfolio
2024-10-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-73487-5 |
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| author | Zhongli Lin Hanqiu Xu Xiong Yao Zhipeng Zhu |
| author_facet | Zhongli Lin Hanqiu Xu Xiong Yao Zhipeng Zhu |
| author_sort | Zhongli Lin |
| collection | DOAJ |
| description | Abstract Xiong’an New Area was established as a state-level new area in 2017 and serves as a typical representative area for studying the ecological evolution of rural areas under rapid urbanization in China. Remote sensing-based ecological index (RSEI) is a regional eco-environmental quality (EEQ) assessment index. Many studies have employed RSEI to achieve rapid, objective, and effective quantitative assessment of the spatio-temporal changes of regional EEQ. However, research that combines RSEI with machine learning algorithms to conduct multi-scenario simulation of EEQ is still relatively scarce. Therefore, this study assessed and simulated EEQ changes in Xiong’an and revealed that: (1) The large-scale construction has led to an overall decline in EEQ, with the RSEI decreasing from 0.648 in 2014 to 0.599 in 2021. (2) Through the multi-scenario simulation, the non-unidirectional evolution of RSEI during the process of urban-rural construction has been revealed, specifically characterized by a significant decline followed by a slight recovery. (3) The marginal effects of urban-rural construction features for simulated RSEI demonstrate an inverted “U-shaped” curve in the relationship between urbanization and EEQ. This indicates that urbanization and EEQ may not be absolute zero-sum. These findings can provide scientific insights for maintaining and improving the regional EEQ in urban-rural construction. |
| format | Article |
| id | doaj-art-6702f6faf1a643a59b5f431ddbebbdd4 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-6702f6faf1a643a59b5f431ddbebbdd42025-08-20T02:18:24ZengNature PortfolioScientific Reports2045-23222024-10-0114111710.1038/s41598-024-73487-5Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, ChinaZhongli Lin0Hanqiu Xu1Xiong Yao2Zhipeng Zhu3College of Architecture and Urban Planning, Fujian University of TechnologyCollege of Environmental and Safety Engineering, Fuzhou UniversityCollege of Architecture and Urban Planning, Fujian University of TechnologyCollege of Architecture and Urban Planning, Fujian University of TechnologyAbstract Xiong’an New Area was established as a state-level new area in 2017 and serves as a typical representative area for studying the ecological evolution of rural areas under rapid urbanization in China. Remote sensing-based ecological index (RSEI) is a regional eco-environmental quality (EEQ) assessment index. Many studies have employed RSEI to achieve rapid, objective, and effective quantitative assessment of the spatio-temporal changes of regional EEQ. However, research that combines RSEI with machine learning algorithms to conduct multi-scenario simulation of EEQ is still relatively scarce. Therefore, this study assessed and simulated EEQ changes in Xiong’an and revealed that: (1) The large-scale construction has led to an overall decline in EEQ, with the RSEI decreasing from 0.648 in 2014 to 0.599 in 2021. (2) Through the multi-scenario simulation, the non-unidirectional evolution of RSEI during the process of urban-rural construction has been revealed, specifically characterized by a significant decline followed by a slight recovery. (3) The marginal effects of urban-rural construction features for simulated RSEI demonstrate an inverted “U-shaped” curve in the relationship between urbanization and EEQ. This indicates that urbanization and EEQ may not be absolute zero-sum. These findings can provide scientific insights for maintaining and improving the regional EEQ in urban-rural construction.https://doi.org/10.1038/s41598-024-73487-5Eco-environmental quality assessmentRemote sensing-based ecological indexXiong’an new areaXGBoost regression modelMulti-scenario simulation |
| spellingShingle | Zhongli Lin Hanqiu Xu Xiong Yao Zhipeng Zhu Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China Scientific Reports Eco-environmental quality assessment Remote sensing-based ecological index Xiong’an new area XGBoost regression model Multi-scenario simulation |
| title | Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China |
| title_full | Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China |
| title_fullStr | Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China |
| title_full_unstemmed | Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China |
| title_short | Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China |
| title_sort | assessment and simulation of eco environmental quality changes in rapid rural urbanization xiong an new area china |
| topic | Eco-environmental quality assessment Remote sensing-based ecological index Xiong’an new area XGBoost regression model Multi-scenario simulation |
| url | https://doi.org/10.1038/s41598-024-73487-5 |
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