Identifying Climate and Anthropogenic Risks Along the Beijing–Hangzhou Grand Canal Using GIS-Based Spatiotemporal Analysis

Linear heritage corridors are increasingly exposed to spatially heterogeneous pressures from climate change and human activities, yet integrated geospatial frameworks for corridor-scale risk identification remain limited. Taking the Beijing–Hangzhou Grand Canal as a representative linear World Heritage corridor, this study developed a GIS-based spatiotemporal assessment framework to quantify natural risk, anthropogenic pressure, and their coupled patterns during 1995–2024. Approximately 350 canal segments were constructed as comparable assessment units and linked with 49 heritage sites and 18 World Heritage canal sections through a multi-scale spatial framework integrating canal sections, buffer zones, and heritage sites. Natural risk was characterized using extreme temperature, precipitation, and drought indices, while anthropogenic pressure was represented by nighttime lights, population density, impervious surface, and road density. The results reveal a clear north–south gradient in integrated natural risk, with higher values concentrated in the southern canal sections. Among the three natural-risk modules, temperature, precipitation, and drought contributed weights of 0.594, 0.242, and 0.164, respectively, indicating the dominant role of heat-related processes. The first two principal components of anthropogenic pressure explained 80.8% of the total variance. Four dominant coupling types were identified, among which the dual high-pressure type was concentrated mainly in the southern canal and marked the most critical areas of compound risk. This study provides a geospatial approach for hotspot detection and spatial decision support for the conservation of large linear heritage systems.

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Publication Details

Journal
ISPRS International Journal of Geo-Information
Published
2026-05-22
DOI
https://doi.org/10.3390/ijgi15060230
Primary Topic
Conservation Techniques and Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Identifying Climate and Anthropogenic Risks Along the Beijing–Hangzhou Grand Canal Using GIS-Based Spatiotemporal Analysis

Yueping Nie, Junyi Shi, L J Yu, Ze Liu et al.
ISPRS International Journal of Geo-Information
Conservation Techniques and Studies
article

Identifying Climate and Anthropogenic Risks Along the Beijing–Hangzhou Grand Canal Using GIS-Based Spatiotemporal Analysis

Yueping Nie, Junyi Shi, L J Yu, Ze Liu, Hui Wang
article en

Abstract

Linear heritage corridors are increasingly exposed to spatially heterogeneous pressures from climate change and human activities, yet integrated geospatial frameworks for corridor-scale risk identification remain limited. Taking the Beijing–Hangzhou Grand Canal as a representative linear World Heritage corridor, this study developed a GIS-based spatiotemporal assessment framework to quantify natural risk, anthropogenic pressure, and their coupled patterns during 1995–2024. Approximately 350 canal segments were constructed as comparable assessment units and linked with 49 heritage sites and 18 World Heritage canal sections through a multi-scale spatial framework integrating canal sections, buffer zones, and heritage sites. Natural risk was characterized using extreme temperature, precipitation, and drought indices, while anthropogenic pressure was represented by nighttime lights, population density, impervious surface, and road density. The results reveal a clear north–south gradient in integrated natural risk, with higher values concentrated in the southern canal sections. Among the three natural-risk modules, temperature, precipitation, and drought contributed weights of 0.594, 0.242, and 0.164, respectively, indicating the dominant role of heat-related processes. The first two principal components of anthropogenic pressure explained 80.8% of the total variance. Four dominant coupling types were identified, among which the dual high-pressure type was concentrated mainly in the southern canal and marked the most critical areas of compound risk. This study provides a geospatial approach for hotspot detection and spatial decision support for the conservation of large linear heritage systems.

ISPRS International Journal of Geo-InformationVol. 15(6)
Chinese Academy of Sciences (CN), Fudan University (CN), International Centre on Space Technologies for Natural and Cultural Heritage (CN), Ministry of Natural Resources (RW), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 3%
Conservation Techniques and Studies
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