A fast and simple algorithm for calculating flow accumulation matrices from raster digital elevation
Guiyun ZHOU, Hongqiang WEI, Suhua FU
A fast and simple algorithm for calculating flow accumulation matrices from raster digital elevation
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.
flow accumulation / flow direction / DEM / GIS
[1] |
Arge L, Chase J, Halpin P, Toma L, Vitter J, Urban D, Wickremesinghe R (2003). Efficient flow computation on massive grid terrain datasets. GeoInformatica, 7(4): 283–313
CrossRef
Google scholar
|
[2] |
Bai R, Li T, Huang Y, Li J, Wang G (2015). An efficient and comprehensive method for drainage network extraction from DEM with billions of pixels using a size-balanced binary search tree. Geomorphology, 238: 56–67
CrossRef
Google scholar
|
[3] |
Barnes R (2017). Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters. Environ Model Softw, 92: 202–212
CrossRef
Google scholar
|
[4] |
Barnes R, Lehman C, Mulla D (2014). An efficient assignment of drainage direction over flat surfaces in raster digital elevation models. Comput Geosci, 62: 128–135
CrossRef
Google scholar
|
[5] |
Buchanan B P, Nagle G N, Walter M T (2014). Long-term monitoring and assessment of a stream restoration project in central New York. River Res Appl, 30(2): 245–258
CrossRef
Google scholar
|
[6] |
Choi Y (2012). A new algorithm to calculate weighted flow-accumulation from a DEM by considering surface and underground stormwater infrastructure. Environ Model Softw, 30(0): 81–91
CrossRef
Google scholar
|
[7] |
Freeman T G (1991). Calculating catchment area with divergent flow based on a regular grid. Comput Geosci, 17(3): 413–422
CrossRef
Google scholar
|
[8] |
Fu S, Liu B, Liu H, Xu L (2011). The effect of slope on interrill erosion at short slopes. Catena, 84(1–2): 29–34
CrossRef
Google scholar
|
[9] |
Garbrecht J, Martz L W (1997). The assignment of drainage direction over flat surfaces in raster digital elevation models. J Hydrol (Amst), 193(1–4): 204–213
CrossRef
Google scholar
|
[10] |
Jenson S K, Domingue J O (1988). Extracting topographic structure from digital elevation data for geographic information system analysis. Photogramm Eng Remote Sensing, 54(11): 1593–1600
|
[11] |
Jiang L, Tang G, Liu X, Song X, Yang J, Liu K (2013). Parallel contributing area calculation with granularity control on massive grid terrain datasets. Comput Geosci, 60: 70–80
CrossRef
Google scholar
|
[12] |
Nardi F, Grimaldi S, Santini M, Petroselli A, Ubertini L (2008). Hydrogeomorphic properties of simulated drainage patterns using digital elevation models: the flat area issue. Hydrol Sci J, 53(6): 1176–1193
CrossRef
Google scholar
|
[13] |
Nobre A D, Cuartas L A, Hodnett M, Rennó C D, Rodrigues G, Silveira A, Waterloo M, Saleska S (2011). Height above the nearest drainage – A hydrologically relevant new terrain model. J Hydrol (Amst), 404(1–2): 13–29
CrossRef
Google scholar
|
[14] |
O’Callaghan J F, Mark D M (1984). The extraction of drainage networks from digital elevation data. Comput Vis Graph Image Process, 28(3): 323–344
CrossRef
Google scholar
|
[15] |
Ortega L, Rueda A (2010). Parallel drainage network computation on CUDA. Comput Geosci, 36(2): 171–178
CrossRef
Google scholar
|
[16] |
Qin C Z, Zhan L (2012). Parallelizing flow-accumulation calculations on graphics processing units—From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm. Comput Geosci, 43: 7–16
CrossRef
Google scholar
|
[17] |
Quinn P, Beven K, Chevallier P, Planchon O (1991). The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrol Processes, 5(1): 59–79
CrossRef
Google scholar
|
[18] |
Su C, Yu W, Feng C, Yu C, Huang Z, Zhang X (2015). An efficient algorithm for calculating drainage accumulation in digital elevation models based on the basin tree index. IEEE Geoscience and Remote Sensing Letters, 12(2): 424–428
CrossRef
Google scholar
|
[19] |
Wang L, Liu H (2006). An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling. Int J Geogr Inf Sci, 20(2): 193–213
CrossRef
Google scholar
|
[20] |
Wang Y, Liu Y, Xie H, Xiang Z (2011). A quick algorithm of counting flow accumulation matrix for deriving drainage networks from a DEM. In: Proceedings on the Third International Conference on Digital Image Processing
|
[21] |
Yamazaki D, Baugh C A, Bates P D, Kanae S, Alsdorf D E, Oki T (2012). Adjustment of a spaceborne DEM for use in floodplain hydrodynamic modeling. J Hydrol (Amst), 436–437: 81–91
CrossRef
Google scholar
|
[22] |
Yao Y, Shi X (2015). Alternating scanning orders and combining algorithms to improve the efficiency of flow accumulation calculation. Int J Geogr Inf Sci, 29(7): 1214–1239
CrossRef
Google scholar
|
[23] |
Zhang H, Yang Q, Li R, Liu Q, Moore D, He P, Ritsema C J, Geissen V (2013). Extension of a GIS procedure for calculating the RUSLE equation LS factor. Comput Geosci, 52: 177–188
CrossRef
Google scholar
|
[24] |
Zhou G, Sun Z, Fu S (2016). An efficient variant of the priority-flood algorithm for filling depressions in raster digital elevation models. Comput Geosci, 90: 87–96
CrossRef
Google scholar
|
/
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