Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Preprints
https://doi.org/10.5194/nhess-2020-167
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2020-167
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Jul 2020

08 Jul 2020

Review status
This preprint is currently under review for the journal NHESS.

Assessment of Landslide Susceptibility using Weight of Evidence and Frequency Ratio Model in Shahpur Valley, Eastern Hindu Kush

Ghani Rahman1, Atta Ur Rahman2, Alam Sher Bacha3, Shakeel Mahmood4, Muhammad Farhan Ul Moazzam5, and Byung Gul Lee5 Ghani Rahman et al.
  • 1Department of Geography, University of Gujrat, Pakistan
  • 2Department of Geography, University of Peshawar, Pakistan
  • 3National Center of Excellence in Geology, University of Peshawar, Pakistan
  • 4Government College University, Lahore, Pakistan
  • 5Department of Civil Engineering, College of Ocean Sciences, Jeju National University, South Korea

Abstract. This study assessing the landslide susceptibility using Weight of Evidence (WoE) and Frequency Ratio (FR) model in Shahpur valley, situated in the eastern Hindu Kush. Here, landslide is a recurrent phenomenon that disrupts natural environment and cause huge property damages as well as incurs human losses every year. These damages are expected to increase due to high rate of deforestation in the region, population growth, agricultural expansion and infrastructural development on the fragile slopes. Initially, landslide inventory map was prepared from SPOT5 satellite image and were verified from frequent visits in the field. Seven landslide contributing factors including surface geology, fault lines, slope aspect and gradient, land use, proximity to roads and stream were selected. To analyze the relationship of landslide occurrence with these causative factors, WoE and FR models were used. Based on WoE and FR model landslide susceptibility zonation maps were prepared and were reclassified into very low to very high landslide susceptible zones. Finally, the resultant maps of landslide susceptibility were authenticated using success rate curve and prediction rate curve approach to validate the models.

Ghani Rahman et al.

Interactive discussion

Status: open (extended)
Status: open (extended)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Ghani Rahman et al.

Ghani Rahman et al.

Viewed

Total article views: 162 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
93 57 12 162 16 15
  • HTML: 93
  • PDF: 57
  • XML: 12
  • Total: 162
  • BibTeX: 16
  • EndNote: 15
Views and downloads (calculated since 08 Jul 2020)
Cumulative views and downloads (calculated since 08 Jul 2020)

Viewed (geographical distribution)

Total article views: 221 (including HTML, PDF, and XML) Thereof 221 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 23 Oct 2020
Publications Copernicus
Download
Citation
Altmetrics