Research on resource-exhausted city spatio-temporal patterns and drives of ecological quality:take central urban area of Fuxin for example

doi:10.13474/j.cnki.11-2246.2024.0605

Abstract

Abstract: In order to evaluate the spatio-temporal patterns of ecological quality in resource-depleted cities during the transition period.This article takes the central urban area of Fuxin as the research area, constructs a remote sensing ecological index(RSEI) based on Landsat images, and identifies urban functional areas based on OSM data and POI data. This article uses optimal parameters-based geographical detector to explore the complex relationship between urban ecological quality and urban functional areas. The results show:①From 2004 to 2022, the ecological quality showed a slight downward trend, with relatively stable fluctuations, forming a basin-like pattern with good surroundings and poor middle.②The average value of the Hurst index is 0.67, with a strong persistence nearest neighbor index value of 146.53.This indicates the future change trend of ecological quality shows uniform sustainability, the change trend of RSEI in most areas is the same as before, but there is an anti-sustainable trend in some areas.③“31+1” types of urban functional areas are identified, and the ecological quality of functional areas from high to low. They are green space, public services, industry, transportation, residential, commercial, and mining areas. Interactions among different factors enhance the explanatory power of ecological quality. The research results can provide scientific reference for ecological protection and restoration work in different functional areas during the transformation period of resource-depleted cities.

Key words: RSEI, spatio-temporal pattern, urban functional area, OPGD, resource-exhausted city

CLC Number:

P237

FAN Qiang, SUN Shuang, SUN Huhu. Research on resource-exhausted city spatio-temporal patterns and drives of ecological quality:take central urban area of Fuxin for example[J]. Bulletin of Surveying and Mapping, 2024, 0(6): 24-29.

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