An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau
Surface supply relationships between glaciers and lakes are needed to analyze and understand hydrological processes at regional and global scales. However, these supply relationships still cannot be extracted efficiently by existing methods. This paper proposes an automatic and efficient approach to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-11-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2017.1374475 |
| _version_ | 1797678558314758144 |
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| author | Bei-Bei Ai Cheng-Zhi Qin Qinghua Ye A-Xing Zhu Graham Cogley |
| author_facet | Bei-Bei Ai Cheng-Zhi Qin Qinghua Ye A-Xing Zhu Graham Cogley |
| author_sort | Bei-Bei Ai |
| collection | DOAJ |
| description | Surface supply relationships between glaciers and lakes are needed to analyze and understand hydrological processes at regional and global scales. However, these supply relationships still cannot be extracted efficiently by existing methods. This paper proposes an automatic and efficient approach to extracting surface supply relationships between glaciers and lakes based on meltwater flow paths. The approach includes two stages: (1) identifying direct connections between objects (i.e. glaciers and lakes) based on flow direction derived from digital terrain analysis on a gridded digital elevation model (DEM) and (2) deriving all (or user-specified) kinds of surface supply relationships based on graph search. All computation-intensive steps in this approach have been parallelized; and all steps in the proposed approach have been integrated as an automatic program. Results for the Tibetan Plateau show that given outline data for glaciers and lakes and the Shuttle Radar Topography Mission DEM, the proposed approach can automatically derive diverse surface supply relationships under user-specified restrictions on the attributes of the supply route. The parallelization in the approach effectively improves the computing efficiency. The proposed approach could also be applied to developing a detailed fundamental dataset of supply relationships between glaciers and lakes for other region or period. |
| first_indexed | 2024-03-11T23:01:36Z |
| format | Article |
| id | doaj.art-6a2c64175ca745afb56d02c3389cd650 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:01:36Z |
| publishDate | 2018-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-6a2c64175ca745afb56d02c3389cd6502023-09-21T14:38:06ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552018-11-0111111151116510.1080/17538947.2017.13744751374475An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan PlateauBei-Bei Ai0Cheng-Zhi Qin1Qinghua Ye2A-Xing Zhu3Graham Cogley4Institute of Geographic Sciences and Natural Resources Research, CASInstitute of Geographic Sciences and Natural Resources Research, CASInstitute of Tibetan Plateau Research, CASInstitute of Geographic Sciences and Natural Resources Research, CASTrent UniversitySurface supply relationships between glaciers and lakes are needed to analyze and understand hydrological processes at regional and global scales. However, these supply relationships still cannot be extracted efficiently by existing methods. This paper proposes an automatic and efficient approach to extracting surface supply relationships between glaciers and lakes based on meltwater flow paths. The approach includes two stages: (1) identifying direct connections between objects (i.e. glaciers and lakes) based on flow direction derived from digital terrain analysis on a gridded digital elevation model (DEM) and (2) deriving all (or user-specified) kinds of surface supply relationships based on graph search. All computation-intensive steps in this approach have been parallelized; and all steps in the proposed approach have been integrated as an automatic program. Results for the Tibetan Plateau show that given outline data for glaciers and lakes and the Shuttle Radar Topography Mission DEM, the proposed approach can automatically derive diverse surface supply relationships under user-specified restrictions on the attributes of the supply route. The parallelization in the approach effectively improves the computing efficiency. The proposed approach could also be applied to developing a detailed fundamental dataset of supply relationships between glaciers and lakes for other region or period.http://dx.doi.org/10.1080/17538947.2017.1374475glaciers and lakessurface supply relationshipdigital terrain analysisparallel computingtibetan plateau |
| spellingShingle | Bei-Bei Ai Cheng-Zhi Qin Qinghua Ye A-Xing Zhu Graham Cogley An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau International Journal of Digital Earth glaciers and lakes surface supply relationship digital terrain analysis parallel computing tibetan plateau |
| title | An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau |
| title_full | An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau |
| title_fullStr | An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau |
| title_full_unstemmed | An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau |
| title_short | An approach to extracting surface supply relationships between glaciers and lakes on the Tibetan Plateau |
| title_sort | approach to extracting surface supply relationships between glaciers and lakes on the tibetan plateau |
| topic | glaciers and lakes surface supply relationship digital terrain analysis parallel computing tibetan plateau |
| url | http://dx.doi.org/10.1080/17538947.2017.1374475 |
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