Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau
Accurate catchment delineation and lake connectivity assessment are crucial for understanding hydrological conditions and managing water resources. However, the accuracy and timeliness of Digital Elevation Models (DEM) constrain existing catchment datasets. Temporal mismatches between DEM acquisitio...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2450845 |
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| _version_ | 1841526368825769984 |
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| author | Yunmei Li Chang Huang Ninglian Wang Yun Chen Shiqiang Zhang Hongtao Duan |
| author_facet | Yunmei Li Chang Huang Ninglian Wang Yun Chen Shiqiang Zhang Hongtao Duan |
| author_sort | Yunmei Li |
| collection | DOAJ |
| description | Accurate catchment delineation and lake connectivity assessment are crucial for understanding hydrological conditions and managing water resources. However, the accuracy and timeliness of Digital Elevation Models (DEM) constrain existing catchment datasets. Temporal mismatches between DEM acquisition and lake datasets further undermine the reliability of analyses. By employing the Forest And Buildings removed Copernicus DEM (FABDEM) and a 2015 lake dataset, this study has updated the delineations of 798 lake catchments on the Qiangtang Plateau. From these lake catchments, 434 whole catchments are identified based on inter-lake connectivity, with 144 encompassing multiple lakes. The multi-lake whole catchments are further categorized into three types: 89 single-linkage, 30 dendritic, and 25 convergent based on the cascading structures of them using graph theory. This provides a refined understanding of the hierarchical organization within the lake networks. Furthermore, projected reductions to 408 whole catchments by 2030 and 391 by 2050 due to global warming underscore the dynamic impacts of climate change on lake connectivity. This research is crucial for understanding lake system hydrodynamics, enhancing water quality, flood control, and resource management, and for developing strategies and models to mitigate climate change impacts. |
| format | Article |
| id | doaj-art-b5a201eb9a06428e983f7d599e9de612 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-b5a201eb9a06428e983f7d599e9de6122025-01-17T02:27:28ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-12-0118110.1080/17538947.2025.2450845Enhanced understanding of hydrological connectivity among lakes on the Qiangtang PlateauYunmei Li0Chang Huang1Ninglian Wang2Yun Chen3Shiqiang Zhang4Hongtao Duan5Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, People’s Republic of ChinaEngineering Technology Research Center of Resources Environment and Geographic Information System of Anhui Province, School of Geography and Tourism, Anhui Normal University, Wuhu, People’s Republic of ChinaShaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, People’s Republic of ChinaCSIRO Environment, Canberra, AustraliaShaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, People’s Republic of ChinaInstitute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, People’s Republic of ChinaAccurate catchment delineation and lake connectivity assessment are crucial for understanding hydrological conditions and managing water resources. However, the accuracy and timeliness of Digital Elevation Models (DEM) constrain existing catchment datasets. Temporal mismatches between DEM acquisition and lake datasets further undermine the reliability of analyses. By employing the Forest And Buildings removed Copernicus DEM (FABDEM) and a 2015 lake dataset, this study has updated the delineations of 798 lake catchments on the Qiangtang Plateau. From these lake catchments, 434 whole catchments are identified based on inter-lake connectivity, with 144 encompassing multiple lakes. The multi-lake whole catchments are further categorized into three types: 89 single-linkage, 30 dendritic, and 25 convergent based on the cascading structures of them using graph theory. This provides a refined understanding of the hierarchical organization within the lake networks. Furthermore, projected reductions to 408 whole catchments by 2030 and 391 by 2050 due to global warming underscore the dynamic impacts of climate change on lake connectivity. This research is crucial for understanding lake system hydrodynamics, enhancing water quality, flood control, and resource management, and for developing strategies and models to mitigate climate change impacts.https://www.tandfonline.com/doi/10.1080/17538947.2025.2450845Lake catchmentLake connectivityFABDEMQiangtang Plateau |
| spellingShingle | Yunmei Li Chang Huang Ninglian Wang Yun Chen Shiqiang Zhang Hongtao Duan Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau International Journal of Digital Earth Lake catchment Lake connectivity FABDEM Qiangtang Plateau |
| title | Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau |
| title_full | Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau |
| title_fullStr | Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau |
| title_full_unstemmed | Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau |
| title_short | Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau |
| title_sort | enhanced understanding of hydrological connectivity among lakes on the qiangtang plateau |
| topic | Lake catchment Lake connectivity FABDEM Qiangtang Plateau |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2450845 |
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