Journal of Range and Watershed Managment

Increasing the accuracy of river network auto-extraction using Parflow and Priorityflow packages

Document Type : Research Paper

Authors

Sadegh Dalfardi 1
Ali Salajegheh 1
Alireza Moghaddam Nia 1
Mohammad Danesh Yazdi 2
Hossein Hashemi 3

1 Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran

2 Department of Civil Engineering, Sharif University of Technology, Tehran, Iran

3 Division of water resources engineering, Lund University, Lund, Sweden

10.22059/jrwm.2023.354127.1691
Abstract
Accurate slope map and the governing river network of a river basin are key inputs of hydrologic models. The purpose of this study was to investigate the effectiveness of the PriorityFlow tool in topographic data processing with the aim of improving slope map extraction in the eastern Faryab Basin. PriorityFlow is a tool in the R programming environment, which aims to generate the correct slope map and to form a network of continuous pathways that matches the observed river network. To process the digital elevation model and prepare the slope map, three input files were used, including the digital elevation model, the representative map of the watershed and the representative map of the observed river network of the study area. After producing the slope map using this package, the obtained results were compared with the outputs obtained from other traditional tools available in the Parflow hydrological model. Specifically, the river network map related to the two slope maps were extracted by the Parflow model under the condition of very low permeability of the domain surface and compared with the observed river network of the study basin. The results showed that the slope map produced by the PriorityFlow tool has led to the production of a more accurate river network that matches the real river network of the eastern Faryab basin. Also, this software package is able to produce the slope map with enhanced accuracy and based on non-diagonal connections along the cell levels in the digital elevation model of the study area.

Keywords

Topographic processing of digital elevation model
Non-diagonal connections
Parflow physical attributes
East Faryab basin
Connected River network
Condon, L.E. & Maxwell, R.M., (2019), Modified priority flood and global slope enforcement algorithm for topographic processing in physically based hydrologic modeling applications, Computers & Geosciences, 126, 83-73.
Cordonnier, G., Bovy, B., & Braun, J., (2019), A versatile, linear complexity algorithm for flow routing in topographies with depressions, Earth Surf. Dynam., 7(2), 562-549.
Kenny, F., Matthews, B., & Todd, K., (2008), Routing overland flow through sinks and flats in interpolated raster terrain surfaces, Computers & Geosciences, 34(11), 1430-1417.
Lindsay, J. & Dhun, K., (2015), Modelling surface drainage patterns in altered landscapes using LiDAR, International Journal of Geographical Information Science, 0, .15-1
Lindsay, J.B. & Creed, I.F., (2006), Distinguishing actual and artefact depressions in digital elevation data, Computers & Geosciences, 32(8), 1204-1192.
Lindsay, J.B., (2016), Efficient hybrid breaching‐filling sink removal methods for flow path enforcement in digital elevation models, Hydrological Processes, 30(6), 857-846.
Martz, L.W. & Garbrecht, J., (1993), Automated extraction of drainage network and watershed data from digital elevation models, JAWRA Journal of the American Water Resources Association, 29(6), 908-901.
Rieger, W., (1998), A phenomenon-based approach to upslope contributing area and depressions in DEMs., Hydrological Processes, 12, 872-857.
Wei, H., Zhou, G., & Fu, S., (2019), Efficient Priority-Flood depression filling in raster digital elevation models, International Journal of Digital Earth, 12(4), 427-415.
Zayandehroody, E., (2020), Extension report of ground water resources prohibition in Jiroft and East Faryab (In Persion).
Zhou, G., Liu, X., Fu, S., & Sun, Z., (2017), Parallel identification and filling of depressions in raster digital elevation models, International Journal of Geographical Information Science, 31(6), 1078-1061.
Journal of Range and Watershed Managment
Volume 76, Issue 1
Spring 2023
Pages 61-75

  • Receive Date 14 December 2022
  • Revise Date 18 March 2023
  • Accept Date 29 March 2023
  • Publish Date 21 June 2023

Home

Guide for Authors

Submit Manuscript

Contact Us