Slope Stability Analysis using SINMAP (Case Study: Havenan’s Landslide Zone, Birjand, Iran)

Document Type : مقاله پژوهشی

Authors

University of Birjand

Abstract

1. Introduction
Generally, landslide studies include process identification, risk analysis and landslide risk prediction (Taleby and Ezaddoost, 2012). Nowadays, there are different methods for landslide simulation such as statistical, descriptive and process-based approaches. However, most studies in Iran are based on statistical and descriptive methods (Taleby and Ezaddoost, 2012). Landslide zonation models are mostly based on grid analysis and landslide density per unit area. Meanwhile, they need more data layers to obtain more accurate results. However, deterministic models like SINMAP has been established based on numerical computations and embed precise physical parameters. The SINMAP model has been applied with different applications around the world (Acharia, 2003; Waver & Nowocien, 2003; Deb & El-Kadi, 2009; Terhorst & Kreja, 2009; Memarian et al., 2013). This study is mainly aimed at landslide risk zonation using SINMAP, while specifically analyzes the physical, tectonical and morphological parameters which affect the stability of slopes.
2. Study Area
The Havenan village has been located in the southwest of Birjand, the north of Bagheran Mountain with a coordinate of 59° 10’ 12” E and 32° 48’ 11” N. The Havenan landslide zone is not uniform. Its failure length and width is 1500 m and 500 m, respectively. The height difference between the crest and toe of the failure is 350 m. The main cliff is 20 meters high and the movement extent is higher than 10 m. Therefore, slope movement speed is low and already is in suspension condition (Saman SadRood Consulting Engineers Co., 2010).
3. Materials and Methods
Landslide risk zonation was performed on the land unit 1-8-1, which mainly involves Phyllites, Schist, and Split formations with rocky outcrops and steep slopes.
SINMAP methodology is based upon the infinite-slope stability model that balances (with edge effects neglected) destabilizing components of gravity against stabilizing components of friction and cohesion on a failure plane parallel to the ground surface. Based on the infinite-slope form of the Mohr–Coulomb failure law as expressed by the ratio of stabilizing forces (shear strength) to destabilizing forces (shear stress) on a failure plane parallel to the surface, the safety factor (SF) calculation in SINMAP is:

where Cr is root cohesion (N m−2), Cs is soil cohesion (N m−2), θ is slope angle (°), ρs is wet soil density (kg m−3), ρw is the density of water (kg m−3), g is gravitational acceleration (9.81 m s−2), D is the vertical soil depth (m), Dw is the vertical height of the water table within the soil layer (m), and Ø is the internal friction angle of the soil (°). θ is the arc tangent of the slope S, expressed as a decimal drop per unit horizontal distance.
A variety of resources were used to determine the values of model calibration parameters (Saman SadRood Consulting Engineers Co., 2010; Memarian & Safdari, 2009; Ab Pooy Consulting Engineers Co., 2008; Morgan et al., 1998; Nakhjavani, 1977). The estimated values of the parameters Cr, Cs, h, and ρs were equal to 200 (N.m-2), 2000 (N.m-2), 0/45 (m), and 2000 (Kg.m-3). The quantity (T/R)sinθ [m] may be thought of as the length of hillslope (planar, not convergent) required to develop saturation in the critical wet period being considered. This concept may be useful for establishing field estimates of R/T through the field identification of the limits of surface saturation (Memarian & Safdari, 2009). Therefore, in this work, this parameter was determined using field investigations and the Havenan’s landslide profile (Saman SadRood Consulting Engineers Co., 2010).
4. Results and Discussion
In order to a precise analysis of the Havenan landslide zone, it was systematically overlaid with 100 points and they introduced as the landslide point to the SINMAP. According to results, 71% of the landslide zone was grouped into the “quasi stable” and “stable” classes. The 24% of the studied zone was classified as the “lower threshold” slope zone and only 3% is grouped into the “upper threshold” zone. Therefore, less than 30% of the Havenan landslide zone showed a medium to high sensitivity to landslide risk. Results showed that only a small area of the landslide zone was placed within the “saturated” region. Thus, other external factors may affect the stability of the Havenan landslide zone.
The Havenan region has been impacted by the three series of main faults, i.e. Havenan, Yusht and Mazar. The intersection of these shear zones has created romboedric blocks. Rock series has been cracked and transformed by these intersected joints. Therefore, the volume and instability of the hillslope has been increased. Consequently, the landslide event is expectable. Dynamic loads and wash off of the heel’s materials play an important role in slip continuing. Furthermore, the transformation of Peridotite to Serepentinite, Brucite and Talc increased the volume and instability of the hillslope. The hillslope instability has been amplified by the Bagheran Mountain tectonic upraise and dynamic stresses (Gholami & Khatib, 2000).
5. Conclusion
The SINMAP simulation results with field investigations established that less than 30% of the Havenan landslide zone has a sensitivity of medium to high to landslide risk. A small part of the landslide area was classified in the “saturated” zone, as well. Hence, in addition to topography, hydrology and soil conditions, other external factors must be effective in landslide occurring. These factors are mainly including the placement of the Split on the Serepentinite and the existence of two series of parallel fractures with the faults Havenan and Mazar. The hillslope instability has been increased by the Bagheran Mountain tectonic upraise and cyclical seismic events.

Keywords


احمدی، حسن؛ محمدخان، شیرین؛ 1381. بررسی برخی از عوامل حرکت‌های توده‌ای، مطالعه موردی: حوزه آبخیز طالقان. مجله منابع طبیعی ایران. شماره 55. صص 463-455.
خطیب، محمد مهدی؛ 1378. بررسی ساختاری زمین‌لغزش هاونان. بیست و ششمین نشست انجمن زمین‌شناسی ایران.
غلامی، ابراهیم؛ خطیب، محمدمهدی؛ 1379. بررسی عوامل مؤثر بر وقوع زمین‌لغزش در جنوب بیرجند. چهارمین همایش انجمن زمین‌شناسی ایران.
معماریان، هادی؛ صفدری، علی اکبر؛ 1388. پایداری شیب‌های طبیعی و تحلیل آن در محیط ArcView GIS، آشنایی با مدل SINMAP. انتشارات سخن‌گستر. 98 صفحه.
مهندسین مشاور آب پوی؛ 1387. مطالعات تفصیلی-اجرایی حوزه آبخیز کوه باقران بیرجند.
مهندسین مشاور سامان سد رود؛ 1389. بررسی مهم‌ترین زمین‌لغزش‌ها در خراسان جنوبی.
نخجوانی، فیروز؛ 1356. جزوه درسی آبخیزداری. دانشگاه تهران.
طالبی، علی؛ ایزد دوست، مریم؛ 1390. بررسی کارآیی مدل SINMAP در پهنه‌بندی خطر زمین‌لغزش (مطالعه موردی حوزه آبخیز سد ایلام). مجله علوم و مهندسی آبخیزداری ایران. شماره 15. صص 68-63.
Ab Pooy Consulting Engineers Co., 2008. Executive watershed management studies of the Bagheran mountains.
Ahmadi, H., Mohamadkhan, SH., 2002. Investigation of some mass movements in Taleghan basin. Natural Resources of Iran 55, 455-463.
Avanzi, G.D., Giounnecchini, R., Punchnelli, A., 2004. The influence of geological and geomorphological setting on shallow landslides, an example of a temperate climates environment: The June 19, 1996 event in northwestern Tuscany (Italy). Engineering Geology 73, 215-228.
Beven, K.J., Kirkby, M.J., 1979. A Physically Based Variable Contributing AreaModel of Basin Hydrology. Hydrological Sciences Bulletin 24(1), 43-69.
Chau, K.T., Sze, Y.L., Fung, M.K., Wong, W.Y., Fong, E.L., Chan, L.C.P., 2004. Landslide inventory and GIS. Computer and Geoscience 30, 429-443.
Deb, S.K., El-Kadi, A.I., 2009. Susceptibility assessment of shallow landslides on Oahu, Hawaii, under extreme-rainfall events. Geomorphology 108, 219–233.
Dehvari, M., Mohammady, M., Ahmady, M., 2011. Geoelectrical interpretation to identify the subsurface structure of the roof overlooking the village Havenan. Meeting of the Geological Sciences Association.
Dietrich, W.E., Wilson, C.J., Montgomery, D.R., McKean, J., 1993. Analysis oferosion thresholds, channel networks, and landscape morphology using a digital terrainmodel. The Journal of Geology 101, 259-278.
Dominguez-Cuesta, M.J., Jimenez-Sanchez, M., Berrezueta, E., 2007. Landslides in the Central Coalfield (Cantabrian Mountains, NW Spain): Geomorphological features, conditioning factors and methodological implications in susceptibility assessment. Geomorphology 89(3), 358-369.
Garfi, G., Bruno, D.E., Calcaterra, D., Parise, M. 2007. Fan morphodynamics and slope instability in the Mucone River basin (Sila Massif, southern Italy): significance of weathering and role of land use changes. Catena 69(2), 181-196.
Gholami, E., Khatib, M., 2000. Assessment of the effective factors and elements on the landslide occurrence in the south of Birjand. 4th Meeting of the Geological Sciences Association.
Hammond, C., Hall, D., Miller, S., Swetik, P., 1992. Level I Stability Analysis(LISA) Documentation for Version 2.0. General Technical Report INT-285, USDAForest Service Intermountain Research Station.
Hengl, T., 2006. Finding the right pixel size. Computers & Geosciences 32(9), 1283-1298.
Hutchinson, J.N., 1988. Geomorphological and geothechnical parameters of landslide in relation to geology and geomorphology. Proceedings of the 5th international symposium of landslide, Lausanne, Switzerland, 13-35.
Khatib, M., 1999. Structural analysis of the Havenan’s landslide. 26th Meeting of the Geological Sciences Association.
Meisina, C., Scarabelli, S., 2007. A comparative analysis of terrain stability models for predicting shallow landslides in colluvial soils. Geomorphology 87, 207–223.
Memarian, H., Balasundram, S.K., Talib, J.B., Sung, C.T.B., Sood, A.M., Abbaspour, K., 2012. Validation of CA-Markov for Simulation of Land Use and Cover Change in the Langat Basin, Malaysia. Journal of Geographic Information System 4, 542-554.
Memarian, H., Safdari, A., 2009. Natural slopes stability and its analysis using ArcView GIS. Sokhangostar, Mashad, Iran, 98p.
Memarian, H., Tajbakhsh, M., Safdari, A., Akhondi, E., 2003. Statistical landslide risk zonation on the Shourijeh formation in GIS framework. Geomatic Conference, Tehran, Iran.
Morgan, R.P.C., Quinton, J.N., Smith, R.E., Govers, G., Poesen, J.W.A., Auerswald, K., ... & Folly, A.J.V., 1998. The European soil erosion model (EUROSEM): documentation and user guide.
Nakhjavani, F., 1977. Handout of Watershed Management. University of Tehran.
Paulin, G.L., Bursik, M., 2009. Logisnet: A tool for multimethod, multiple soil layers slope stability analysis. Computers & Geosciences 35, 1007–1016.
Paulin, G.L., Bursik, M., Lugo-Hubp, J., Zamorano Orozco, J.J., 2010. Effect of pixel size on cartographic representation of shallow and deep-seated landslide, and its collateral effects on the forecasting of landslides by SINMAP and Multiple Logistic Regression landslide models. Physics and Chemistry of the Earth 35, 137–148.
Peart, M.R., Ng, K.Y., Zhang, D.D., 2005. Landslides and sediment delivery to a drainage system: some observations from Hong Kong. Journal of Asian Earth Sciences 25(5), 821-836.
Saman SadRood Consulting Engineers Co., 2010. Investigation of the most important landslides in the South Khorasan Province, Iran.
Singh, R.P., Dubey, C.S., Singh, S.K., Shukla, D.P., Mishra, B.K., Tajbakhsh, M., ... & Singh, N., 2012. A new slope mass rating in mountainous terrain, Jammu and Kashmir Himalayas: application of geophysical technique in slope stability studies. Landslides, 1-11.
Soeters, R., van Westen, C.J., 1996. Landslides: Investigation and Mitigation. Chapter 8-Slope Instability Recognition, Analysis, and Zonation. Transportation Research Board Special Report, 247p.
Taleby, A., Ezaddoost. M., 2012. Investigating the SINMAP model efficiency in landslide hazard zonation (Case study: Ilam dam watershed). Watershed Management Science & Engineering 5(15), 63-69.
Terhorst, B., Kreja, R., 2009. Slope stability modelling with SINMAP in a settlement area of the Swabian Alb. Landslides 6(4), 309–319.
Wawer, R., Nowocien, E., 2003. Application of SINMAP terrain stability model to Grodarz stream watershed. Electronic Journal of Polish Agricultural Universities, Environmental Development 6(1).
Zhou, C.H., Lee, C.F., Li, J., Xu, Z.W., 2002. On the spatial relationship between landslides and causative factors on Lantua Island, Hong Kong. Geomorphology 43, 197-207.
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