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Frontiers of Earth Science

, Volume 13, Issue 2, pp 317–326 | Cite as

A fast and simple algorithm for calculating flow accumulation matrices from raster digital elevation

  • Guiyun ZhouEmail author
  • Hongqiang Wei
  • Suhua Fu
Research Article
  • 14 Downloads

Abstract

Calculating the flow accumulation matrix is an essential step for many hydrological and topographical analyses. This study gives an overview of the existing algorithms for flow accumulation calculations for single-flow direction matrices. A fast and simple algorithm for calculating flow accumulation matrices is proposed in this study. The algorithm identifies three types of cells in a flow direction matrix: source cells, intersection cells, and interior cells. It traverses all source cells and traces the downstream interior cells of each source cell until an intersection cell is encountered. An intersection cell is treated as an interior cell when its last drainage path is traced and the tracing continues with its downstream cells. Experiments are conducted on thirty datasets with a resolution of 3 m. Compared with the existing algorithms for flow accumulation calculation, the proposed algorithm is easy to implement, runs much faster than existing algorithms, and generally requires less memory space.

Keywords

flow accumulation flow direction DEM GIS 

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Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 41671427) and the Fundamental Research Funds for the Central Universities (ZYGX2016J148). We thank the anonymous referees for their constructive criticism and comments.

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Center for Information GeoscienceUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.School of Resources and EnvironmentUniversity of Electronic Science and Technology of ChinaChengduChina
  3. 3.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water ConservationChinese Academy of SciencesYanglingChina
  4. 4.Faculty of Geographical ScienceBeijing Normal UniversityBeijingChina

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