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Natural Hazards

, Volume 65, Issue 1, pp 739–765 | Cite as

Inclusion of earthquake strong ground motion in a geographic information system-based landslide susceptibility zonation in Garhwal Himalayas

  • Naveen Pareek
  • Mukat L. Sharma
  • Manoj K. Arora
  • Shilpa Pal
Original Paper

Abstract

Garhwal Himalayas are seismically very active and simultaneously suffering from landslide hazards. Landslides are one of the most frequent natural hazards in Himalayas causing damages worth more than one billion US$ and around 200 deaths every year. Thus, it is of paramount importance to identify the landslide causative factors to study them carefully and rank them as per their influence on the occurrence of landslides. The difference image of GIS-derived landslide susceptibility zonation maps prepared for pre- and post-Chamoli earthquake shows the effect of seismic shaking on the occurrence of landslides in the Garhwal Himalaya. An attempt has been made to incorporate seismic shaking parameters in terms of peak ground acceleration with other static landslide causative factors to produce landslide susceptibility zonation map in geographic information system environment. In this paper, probabilistic seismic hazard analysis has been carried out to calculate peak ground acceleration values at different time periods for estimating seismic shaking conditions in the study area. Further, these values are used as one of the causative factors of landslides in the study area and it is observed that it refines the preparation of landslide susceptibility zonation map in seismically active areas like Garhwal Himalayas.

Keywords

Himalayas Chamoli earthquake Landslide 

Abbreviations

DEM

Digital elevation model

GIS

Geographic information system

GPS

Global positioning system

G–R Relationship

Gutenberg–Richter relationship

GSI

Geological survey of India

HS

High susceptibility

IRS

Indian remote sensing

LISS

Linear imaging self-scanning

LS

Low susceptibility

LSI

Landslide susceptibile index

LSZ

Landslide susceptibility zonation

Mb

Short period teleseismic P-wave magnitude from vertical component record

Ml

Local magnitude from horizontal and/or vertical component derived from original or simulated Wood-Anderson seismograph records

MMI

Modified Mercalli intensity scale

MS

Moderate susceptibility

Ms

Surface-wave magnitude from vertical and/or horizontal component records

Mw

Moment magnitude

NDVI

Normalized difference vegetation index

NIR

Near-infrared

PAN

Panchromatic

PGA

Peak ground acceleration

PGD

Peak ground displacement

PGV

Peak ground velocity

PSHA

Propbabilistic seismic hazard analysis

SOI

Survey of India

SWIR

Short wave infrared

VHS

Very high susceptibility

VLS

Very low susceptibility

Notes

Acknowledgments

Naveen Pareek is thankful to the Ministry of Human Resource Development, Govt of India for providing financial support during his PhD work and data procurement used in this work. The paper has benefited by valuable comments by an anonymous reviewers on the earlier version of the manuscript. We are also grateful to the editor for suggestions to improve the paper.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Naveen Pareek
    • 1
  • Mukat L. Sharma
    • 2
  • Manoj K. Arora
    • 3
  • Shilpa Pal
    • 4
  1. 1.National Technical Research OrganizationGovernment of IndiaNew DelhiIndia
  2. 2.Department of Earthquake EngineeringIndian Institute of TechnologyRoorkeeIndia
  3. 3.Department of Civil EngineeringIndian Institute of TechnologyRoorkeeIndia
  4. 4.School of EngineeringGautam Budha UniversityGreater NoidaIndia

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