GIS based mapping and analysis of landslide hazard’s impact on tourism: a case study of Balakot valley, Pakistan

  • Authors

    • Alamgeer Hussain Institutes of Geo-Information & Earth Observation, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
    • Mobushir Riaz Khan
    • Naeem Abbas Malik
    • Muhammad Amin
    • Mazhar Hussain Shah
    • Muhammad Naveed Tahir
    2017-11-04
    https://doi.org/10.14419/ijag.v5i2.8335
  • GIS, RS, GPR, GSP, Slope, Slope Aspect.

  • The Landslide occurs in mountainous area due to failure of slope through intensive rain and earthquake. Region wise Himalayan is one of prone area of world in context of slope failure hazard; i.e. Landslide, especially Balakot valley is well known for damage of public infrastructure, roads and badly affected the tourism sector. The objective of this study is to develop landslide hazard map and database inventory of balakot tehsil and identify the Tourist resorts landslide hazard condition and hazard prone road site and developed guidelines for tourist about hazardous site and their intensity of landside, which could be useful for tourism sector and sustainable development in balakot valley. In this study we used weighted overlay analysis in arc GIS environment on primary and secondary data raster layers, like slope map, Slope Aspect map, precipitation and seismic raster maps were used to develop landslide hazard zonation map of balakot tehsil. Slope and Aspect map were developed using 30 meter aster digital elevation model. Precipitation map were developed through Inverse Distance weighted (IDW) interpolation method on annual precipitation data acquired from Pakistan meteorological department. Seismic map were acquired from Geological Survey of Pakistan (GSP). Landslide zonation map has three hazards class high, Medium and low. The landslide exposure of high hazard class 499 sq.km while, Medium class 1016 sq.km and low hazard class having 749 sq. km exposure in balakot tehsil respectively. Landslide hazard zonation mapping using GIS and RS is the best way to assess the risk of landslide hazard in mountainous areas. The study recommended that ground penetrating radar (GPR) and soil testing based research well help to understand in-depth of landslide hazard condition in balakot valley.

  • References

    1. [1] Ali, I., Shah, I., Hameed, A., Ashfaq, M., & Muhammad, T. Archaeological Explorations In Balakot, District Mansehra

      [2] Alimohammadlou, Y., Najafi, A., & Yalcin, A. (2013). Landslide Process and Impacts: A Proposed Classification Method. Catena, 104, 219-232.

      [3] Bibi, T., Gul, Y., Rahman, A. A., & Riaz, M. (2016). Landslide Susceptibility Assessment through Fuzzy Logic Inference System (Flis). The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 355.

      [4] Carrara, A., Cardinali, M., Detti, R., Guzzetti, F., Pasqui, V., & Reichenbach, P. (1991). GIS techniques and statistical models in evaluating landslide hazard. Earth surface processes and landforms, 16(5), 427-445.

      [5] Cater, C. I. (2006). Playing With Risk? Participant Perceptions of Risk and Management Implications in Adventure Tourism. Tourism Management, 27(2), 317-325.

      [6] Drabek T.E. (1994). Risk Perceptions of Tourist Business Managers. In: The Environmental Professional 16: S. 327ff.

      [7] Feizizadeh, B., & Blaschke, T. (2013). GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran. Natural hazards, 65(3), 2105-2128.

      [8] Hungr, O., Leroueil, S., & Picarelli, L. (2014). The Varnes classification of landslide types, an update. Landslides, 11(2), 167-194.

      [9] Jadoon, I. A., Hinderer, M., Kausar, A. B., Qureshi, A. A., Baig, M. S., Basharat, M., & Frisch, W. (2015). Structural interpretation and geo-hazard assessment of a locking line: 2005 Kashmir earthquake, western Himalayas. Environmental Earth Sciences, 73(11), 7587-7602.

      [10] Schickhoff, U. (1995). Himalayan forest-cover changes in historical perspective: A case study in the Kaghan valley, northern Pakistan. Mountain Research and Development, 3-18.

      [11] Torizin, J., Fuchs, M., Awan, A. A., Ahmad, I., Akhtar, S. S., Sadiq, S.& Sabir, F. Statistical landslide susceptibility assessment of the Mansehra and Torghar districts, Khyber Pakhtunkhwa Province, Pakistan. Natural Hazards, 1-28.

      [12] Xu, C., Xu, X., Yao, Q., & Wang, Y. (2013). GIS-based bivariate statistical modelling for earthquake-triggered landslides susceptibility mapping related to the 2008 Wenchuan earthquake, China. Quarterly journal of engineering geology and hydrogeology, 46(2), 221-236.

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  • How to Cite

    Hussain, A., Riaz Khan, M., Abbas Malik, N., Amin, M., Hussain Shah, M., & Naveed Tahir, M. (2017). GIS based mapping and analysis of landslide hazard’s impact on tourism: a case study of Balakot valley, Pakistan. International Journal of Advanced Geosciences, 5(2), 116-120. https://doi.org/10.14419/ijag.v5i2.8335