Identifying Climate and Anthropogenic Risks Along the Beijing–Hangzhou Grand Canal Using GIS-Based Spatiotemporal Analysis
Bibliographic Data
| ID | 22034039 |
|---|---|
| Authors | Junyi Shi (0000-0002-8512-4242, Chinese Academy of Sciences), Lijun Yu (0000-0002-0222-9509, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China), L J Yu (Chinese Academy of Sciences), Ze Liu (0000-0002-1635-5573, Ministry of Natural Resources), Hui Wang (0000-0001-5109-8691, Fudan University), Yueping Nie (Chinese Academy of Sciences) |
| Year | 2026 |
| Volume | 15 |
| Issue | 6 |
| Pages | 230 |
| Publication date | 2026-05-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi15060230 |
| OpenAlex | W7162116568 |
| Language | EN |
| References cited | 55 |
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
Climate change · Geospatial analysis · Impervious surface · Population · Spatial ecology · Conservation Techniques and Studies · Flood Risk Assessment and Management · Tree-ring climate responses
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| Citation velocity | historical |
|---|---|
| Highly cited | No |