Integrating mining district data into ecological security pattern identification: a case study of Chenzhou DOI Creative Commons

Jiawei Hui,

Yongsheng Cheng

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 6, 2025

Resource-intensive cities face significant ecological challenges due to mining activities, which degrade landscapes, pollute ecosystems, and disrupt security patterns. This study proposes a process for identifying patterns (ESP) in cities, integrating landscape risk assessment, remote sensing quality evaluation, district spatial data. We introduce the source index (ECSI) identify sources Chenzhou construct an resistance surface (ERS) by incorporating locations. Using circuit theory, we map key corridors nodes, establishing framework Chenzhou. Our findings show 2,903 km² of primary sources, 1,735 secondary ES, 2,124 tertiary along with 90 (1,183.66 km), 22 inactive (983.37 3 major river corridors, 68 pinch points, 80 barriers. The are organized "dominant multiple subsidiary cores" structure, connected "three horizontal four vertical" corridor network. Ecological primarily located east, while barriers concentrated west. Barriers mainly urban areas, zones, farmland, points occur narrow sections, especially near towns areas. Mining activities cause localized shifts fragmentation corridors. propose recommendations management, such as implementing strict approval processes, constructing artificial expanding channel boundaries point clusters. These provide essential guidance restoration sustainable development resource-dependent cities.

Language: Английский

Integrating mining district data into ecological security pattern identification: a case study of Chenzhou DOI Creative Commons

Jiawei Hui,

Yongsheng Cheng

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 6, 2025

Resource-intensive cities face significant ecological challenges due to mining activities, which degrade landscapes, pollute ecosystems, and disrupt security patterns. This study proposes a process for identifying patterns (ESP) in cities, integrating landscape risk assessment, remote sensing quality evaluation, district spatial data. We introduce the source index (ECSI) identify sources Chenzhou construct an resistance surface (ERS) by incorporating locations. Using circuit theory, we map key corridors nodes, establishing framework Chenzhou. Our findings show 2,903 km² of primary sources, 1,735 secondary ES, 2,124 tertiary along with 90 (1,183.66 km), 22 inactive (983.37 3 major river corridors, 68 pinch points, 80 barriers. The are organized "dominant multiple subsidiary cores" structure, connected "three horizontal four vertical" corridor network. Ecological primarily located east, while barriers concentrated west. Barriers mainly urban areas, zones, farmland, points occur narrow sections, especially near towns areas. Mining activities cause localized shifts fragmentation corridors. propose recommendations management, such as implementing strict approval processes, constructing artificial expanding channel boundaries point clusters. These provide essential guidance restoration sustainable development resource-dependent cities.

Language: Английский

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