Landslide hazard zonation using LNRF model (Case study: Ghomroud- Aligudarz basin)

Document Type : Research Article

Authors

1 Assistant Professor of Environmental Sciences, Malayer University

2 Associate professor of Rangeland and Watershed Management, Malayer University

3 Instructor of Payam e Noor and Ph.D student of Environmental Science, Malayer University

4 Master Science student of Environment Science, Malayer University

Abstract

Determination and zoning of landslide hazard areas is a primary activity in environmental hazard management and reduce the landslide costs because this phenomenon is caused to financial and felon, soil and land degradation and increasing sedimentation in the watershed outlet. Therefore, identification of susceptible zones to landslide using experimental models is one of the basic steps in hazard management in basins. In this study, to effective factors in a landslide and also landslide hazard zonation in Ghomroud- Aligudarz basin was used LNRF model and GIS techniques. For this purpose, effective layers in landslide such as land use, lithology, rainfall, slope, aspect, distance to fault, distance from the river, Stream Transport Index and Topographic Wetness Index were prepared and digitized. The intersection of independent and dependent variables of mass movements and the weighting factor classes in each class have been executed based on LNRF model. The result of this investigation indicates that most of the landslide occurred in Gypsiferous and Sandy Marl, Shale with intercalations of limestone, Tuffaceous Shale and green Tuff units, slope class 5- 20 percent, and a north aspect. On the other hand, most of the instability occurred in rangeland and agricultural classes, a distance of 0-600 m from drainage network, and rain class 266-300 mm. Also, the class of 7.5- 10 for Topographic Wetness Index and class of more than 12 for stream transport index had shown the most susceptible to landslide. Also in the area, a landslide had a direct relationship to the distance of the fault and reflects the ineffectiveness of the faults in the landslide in the region. It is expected that based on these results, the best plan is done for the Ghomroud- Aligudarz basin, in particular, the construction of structures such as roads, building construction, and facilities to reduce the environmental and economic costs.

Keywords


Abedian, S., (2010), Effects of the road network on ecosystems from landscape ecology perspective (Case Study: Kordkouy, Bandar-e-Gaz, and Galugah city), Master's thesis, Tehran University. [In Persian]
Abedini, M., Beheshti Javid, E., and Fathi, M. H., (2015), Landslides susceptibility zonation with bivariate Statistical and fuzzy logic models (Case study: Balekhloo catchment), Geography and Environmental Planning, 26(3), 49-60. [In Persian]
Ahmadi, H., and Feiznia, S., (2000), Quaternary formations (theoretical and applied principles in natural resources), Tehran: Tehran publication, 602 p. [In Persian]
Arab Ameri, A., and Halabian, A. H., (2015), Landslide hazard regionalization using Analytical Hierarchy Process and GIS techniques (Case Study: Zarand Watershed), Journal of Physical Geography, 8(28), 65-86. [In Persian]
Ghahrmani, N., Cheesy Siouki, A., and Dahili, A., (2013), Analyzing analytic hierarchy processes of LNRF, FAHP and AHP (Case Study of Alang Darre Basin), Iranian Journal of Remote Sensing & GIS, 4(1), 65-80. [In Persian]
Jokar Sarhangi, I., Amir Ahmadi, A., and Salmaliyan, H., (2008), Landslide hazard zonation in Safarood watershed using GIS, Journal of Geography and Regional Development, 5(9), 79-92. [In Persian]
Iildoromi, A. R., and Rouzbahani, H., (2014), Zoning slope instability risk by using LNRF modeling (Kalan basin of Malayer), Journal of Geography and Planning, 18(48), 37-60. [In Persian]
Motashri, A., Qomi, J., Eftekhari, A., Pauzesh, B., and Shahmari, M., (2012), Landslide hazard zoning for the Chalus- Tehran road and construction highway, Journal of Geotechnical Geology, 8(2), 147-158. [In Persian]
Nikandish, N., (2000), Investigation of hydrochemical factors on mass movements in the intermediate Caroni basin, Ph.D thesis, University of Isfahan. [In Persian]
Ramesht, H., and Shahzeidi, S. S., (1997), Application of geomorphology in national, regional, economic, and tourism planning, Esfahan: Esfahan university publication. 392 p. [In Persian]
Ranjbar, M., and Meamar Eftekhari, M., (2012), Slip phenomena zoning with using LNRF in Haraz road (from emamzadeh Hashem until Larijan), Journal of Geography, 10(33), 107-128.
Rezaii Moghadam, H., Hosseinalizadeh, M., Berdi Sheikh, N., and Jafari, R., (2015), Soil moisture estimation using Digital Elevation Model (DEM), Journal of RS and GIS for Natural Resources, 6(3), 61-72. [In Persian]
Rostaei, SH., and Aahmadzadeh, H., (2012), Landslide hazard zonation in the Tabriz- Marand road using RS and GIS, Journal of Quantitative Geomorphological Researches, 1(1), 47-58. [In Persian]
Saber Chenari, K., Salmani, H., and Mohammadi, M., (2015), Landslide hazard assessment using Information Value and LNRF models, Journal of Eco-Hydrology, 2(1), 105-116. [In Persian]
Sefidgari, R., (2003), Landslide hazard zonation estimation methods at scale 1: 50000 (Case study: Damavand watershed), Master's thesis, Tehran University, 159 p. [In Persian]
Sefidgari, R., Ghyomanyan, J., and Feiznia, S., (2006), Landslide hazard zonation estimation methods at scale 1: 50000 (Case study: Damavand watershed), Proceedings of the 3rd National Conference of Erosion and Sediment, Tehran, Iran. [In Persian]
Shadfar, S., and Yamani, M., (2008), Landslide zoning in Jolesan basin using of LNRF model, Journal of Geographical Researches, 39(62), 11-23. [In Persian]
Shirani, C., and Saif, A., (2013), Landslide hazard zonation using statistical methods (Pishkouh area, Fereydoun city), Journal of Geoscience, 22(85), 149-158. [In Persian]
Souri, S., Lashkaripour, G., and Ghafouri, M., (2012), Landslide hazard zonation using artificial neural networks (Case study: Keshvari watershed (Nozhiyan)), Journal of Engineering Geology, 5(2), 1269-1286. [In Persian]
References (in English)
Cornforth, D. H., (2005), Landslides in practice, USA: John Wiley & Sons Inc., 591p.
Dietrich, W. E., Wilson C. J., Montgomery, D. R., McKean, J., and Bauer, R., (1992), Erosion thresholds and land surface morphology, Journal of Geology, 20(8), 675-679.
Dymond, J. R., Ausseeil, A. G., Shepherd J. D., and Buettner, L., (2006), Validation of a region-wide model of landslide susceptibility in the Manawatu-Wanganui region of New Zealand, Journal of Geomorphology, 74(1-4), 70-79.
Giannecchini, R., (2006), Relationship between rainfall and shallow landslides in the southern Apuan Alps (Italy), Journal of National Hazards Earth System Science, 6(3), 357-364.
Jenson, S. K., and Domingue, J. O., (1988), Extracting topographic structure from digital elevation data for geographic information system analysis, Journal of Photogrammetric Engineering and Remote Sensing, 54(11), 1593-1600.
Moore, I., and Burch, G., (1986), Physical basis of the length- slope factor in the universal soil loss equation, Journal of Soil Science Society of America Journal, 50(5), 1294–1298.
Moore, I. D., and Grayson, R. B., (1991), Digital terrain modeling: A review of the hydrological, geomorphological and biological application, Journal of Hydrology Process, 5(1), 3-30.
Ocakoglu, F. Gokeeoglu, C., and Ercanoglu, M., (2002), ‌Dynamics of a complex mass movement triggered by heavy rainfall: A case study from NW Turkey, Journal of Geomorphology, 42(3-4), 329-341.
Ownegh, M., (2004), Assessing the applicability of the Australian landside database in hazard management, Proceeding of ISCO, 2004, Brisabane, Australia, pp: 1001-1006.
Price, D. G., (2009), Engineering geology: principles and practice, Springer, PP. 268-290.
Saha, A. K., Gupta, R. P., and Arora, M. K., (2002), GIS-based landslide hazard zonation in a part of the Himalayas, Journal of Remote Sensing, 23(2), 357–369.
USDA., (1972), Sediment sources, yields, and delivery ratios, National Engineering Handbook, Section 3 Sedimentation.
Volume 7, Issue 18 - Serial Number 4
December 2019
Pages 109-130
  • Receive Date: 05 May 2017
  • Revise Date: 18 October 2017
  • Accept Date: 16 April 2018
  • First Publish Date: 22 December 2018
  • Publish Date: 22 December 2018