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author:

Lin, Zhongli (Lin, Zhongli.) [1] | Xu, Hanqiu (Xu, Hanqiu.) [2] | Yao, Xiong (Yao, Xiong.) [3] | Zhu, Zhipeng (Zhu, Zhipeng.) [4]

Indexed by:

Scopus SCIE

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.

Keyword:

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

Community:

  • [ 1 ] [Lin, Zhongli]Fujian Univ Technol, Coll Architecture & Urban Planning, Fuzhou 350118, Peoples R China
  • [ 2 ] [Yao, Xiong]Fujian Univ Technol, Coll Architecture & Urban Planning, Fuzhou 350118, Peoples R China
  • [ 3 ] [Zhu, Zhipeng]Fujian Univ Technol, Coll Architecture & Urban Planning, Fuzhou 350118, Peoples R China
  • [ 4 ] [Xu, Hanqiu]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China

Reprint 's Address:

  • [Lin, Zhongli]Fujian Univ Technol, Coll Architecture & Urban Planning, Fuzhou 350118, Peoples R 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

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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