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author:

Lin, Z. (Lin, Z..) [1] | Xu, H. (Xu, H..) [2] | Yao, X. (Yao, X..) [3] | Zhu, Z. (Zhu, Z..) [4]

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Scopus

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. © The Author(s) 2024.

Keyword:

Eco-environmental quality assessment Multi-scenario simulation Remote sensing-based ecological index XGBoost regression model Xiong’an new area

Community:

  • [ 1 ] [Lin Z.]College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou, 350118, China
  • [ 2 ] [Xu H.]College of Environmental and Safety Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Yao X.]College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou, 350118, China
  • [ 4 ] [Zhu Z.]College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou, 350118, China

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Source :

Scientific Reports

ISSN: 2045-2322

Year: 2024

Issue: 1

Volume: 14

3 . 8 0 0

JCR@2023

CAS Journal Grade:3

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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