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快速乡村城镇化过程中生态环境质量变化的评估与模拟:中国雄安新区

Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong'an New Area, China.

作者信息

Lin Zhongli, Xu Hanqiu, Yao Xiong, Zhu Zhipeng

机构信息

College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou, 350118, China.

College of Environmental and Safety Engineering, Fuzhou University, Fuzhou, 350116, China.

出版信息

Sci Rep. 2024 Oct 4;14(1):23075. doi: 10.1038/s41598-024-73487-5.

DOI:10.1038/s41598-024-73487-5
PMID:39367023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11452677/
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.

摘要

雄安新区于2017年设立为国家级新区,是中国快速城市化进程中农村生态演变研究的典型代表区域。基于遥感的生态指数(RSEI)是一种区域生态环境质量(EEQ)评估指数。许多研究采用RSEI对区域EEQ的时空变化进行快速、客观、有效的定量评估。然而,将RSEI与机器学习算法相结合进行EEQ多情景模拟的研究仍然相对较少。因此,本研究对雄安新区的EEQ变化进行了评估和模拟,结果表明:(1)大规模建设导致EEQ整体下降,RSEI从2014年的0.648降至2021年的0.599。(2)通过多情景模拟,揭示了城乡建设过程中RSEI的非单向演变,具体表现为显著下降后略有回升。(3)城乡建设特征对模拟RSEI的边际效应在城市化与EEQ的关系中呈现倒“U”形曲线。这表明城市化与EEQ可能并非绝对的零和关系。这些研究结果可为城乡建设中维持和改善区域EEQ提供科学依据。

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