Volume IV-4/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 367-371, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-367-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 367-371, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-367-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Nov 2017

13 Nov 2017

MORPHOMETRIC ANALYSIS TO PRIORITIZE SUB-WATERSHED FOR FLOOD RISK ASSESSMENT IN CENTRAL KARAKORAM NATIONAL PARK USING GIS/RS APPROACH

N. H. Syed1,2, A. A. Rehman2, D. Hussain1, S. Ishaq1, and A. A. Khan1 N. H. Syed et al.
  • 1Karakuram International University, Gilgit, Pakistan
  • 2Geo-Informatics and Real Estate, University of Technology, Malaysia

Abstract. Morphometric analysis is vital for any watershed investigation and it is inevitable for flood risk assessment in sub-watershed basins. Present study undertaken to carry out critical evaluation and assessment of sub watershed morphological parameters for flood risk assessment of Central Karakorum National Park (CKNP), where Geographical information system and remote sensing (GIS & RS) approach used for quantifying the parameter and mapping of sub watershed units. ASTER DEM used as a geo-spatial data for watershed delineation and stream network. Morphometric analysis carried out using spatial analyst tool of ArcGIS 10.2. The parameters included were bifurcation ratio (Rb), Drainage Texture (Rt), Circulatory ratio (Rc), Elongated ratio (Re), Drainage density (Dd), Stream Length (Lu), Stream order (Su), Slope and Basin length (Lb) have calculated separately. The analysis revealed that the stream order varies from order 1 to 6 and the total numbers of stream segments of all orders were 52. Multi criteria analysis process used to calculate the risk factor. As an accomplished result, map of sub watershed prioritization developed using weighted standardized risk factor. These results helped to understand sensitivity of flush floods in different sub watersheds of the study area and leaded to better management of the mountainous regions in prospect of flush floods.