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Landslide susceptibility mapping of Blue Nile and Tekeze River Basins using oblique rainfall-aspect rasters

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Abstract

This research was carried out to prepare the regional level landslide susceptibility maps by incorporating the oblique rainfall raster in the upper Blue Nile and Tekeze River basins. The oblique rainfall is the amount that actually falls on sloping surfaces, and varies considerably with slope inclination and aspect with respect to the prevailing trend of the wind direction. The monthly averaged precipitation data for the Kermit (July–September) and the Belg (March–April) rainfall seasons for the study area were acquired for the period of 1950 to 2000, and utilized to compute the oblique rainfall vectors at 40°, 45°, 50°, 55°, and 60° angles (representing “wind-driven” rainfall vectors). The weighted overlay index method using ArcGIS software was applied for this regional landslide susceptibility mapping (scales >1:100,000) by incorporating vertical rainfall intensity maps and aspect separately and as a combination (rainfall raster coupled with the slope aspect raster). The resulting landslide susceptibility maps were compared which reveals that the results obtained from using integrated rainfall/aspect raster’s (combined) were found to be more reasonable towards computing high to very high hazards than using aspect and rainfall rasters as separate layers. The susceptibility maps were validated with landslide inventory maps as well as documented rockslides, scattered throughout the study area. This reconnaissance level study could serve as guide maps in identifying those areas where more detailed landslide hazard mapping might, or should be, undertaken in the future for detailed investigations.

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References

  • Ahmed MF, Rogers JD (2014a) Creating reliable, first-approximation landslide inventory maps using ASTER DEM data and geomorphic indicators, an example from the upper Indus River in northern Pakistan. J Environ Eng Geosci 20:67–83

    Article  Google Scholar 

  • Ahmed MF, Rogers JD (2014b) Significance of wind-driven rainfall in landslide susceptibility mapping. In: AEG 57th Annual Meeting, Scottsdale, AZ 57:41

  • Ayalew L (1999) The effect of seasonal rainfall on landslides in the highlands of Ethiopia. Bull Eng Geol Env 58:9–19

    Article  Google Scholar 

  • Ayalew L, Yamagishi H (2004) Slope failures in the Blue Nile Basin, as seen from landscape evolution perspective. Geomorphology 57:95–116

    Article  Google Scholar 

  • Ayalew L, Moeller D, Reik G (2012) Geotechnical aspects and stability of road cuts in the Blue Nile Basin, Ethiopia. Geotech Geol Engg 27:713–728

    Article  Google Scholar 

  • Bachri S, Shresta RP (2010) Landslide hazard assessment using analytic hierarchy processing (AHP) and geomorphic information system in Kaligrsing area of Central Java Province Indonesia. In: 5th annual international workshop and expo on Sumatra Tsunami disaster and recovery 107–112

  • Brabb EE (1984) Innovative approaches to landslide hazard mapping. Proceedings 4th International Symposium on Landslides. Toronto 1:307–324

    Google Scholar 

  • Brabb EE (1995) The San Mateo County California GIS project for predicting the consequences of hazardous geologic processes. Geographical information systems in assessing natural hazards. Springer, Netherlands, pp 299–334

    Google Scholar 

  • Briggen P, Blocken B, Schellen H (2009) Wind-driven rain on the facade of a monumental tower: numerical simulation, full-scale validation and sensitivity analysis. Build Environ 44:1675–1690

    Article  Google Scholar 

  • Calligaris C, Giorgio Poretti G, Tariq S, Melis T (2013) First steps towards a landslide inventory map of the Central Karakoram National Park. Eur J Remote Sensing 46:272–287

    Article  Google Scholar 

  • Cardinali M, Carrara A, Guzzetti F, Reichenbach P (2002) Landslide hazard map for the Upper Tiber River basin. CNR Gruppo Nazionale per la Difesa dalle Catastrofi Idrogeologiche Publication 2116, scale 1:100,000

  • Carrara A, Cardinali M, Guzzetti F (1992) Uncertainty in assessing landslide hazard and risk. ITC J 2:172–183

    Google Scholar 

  • Carrara A, Cardinali M, Guzzetti F, Reichenbach P (1995) GIS technology in mapping landslide hazard. Springer, Netherlands

    Book  Google Scholar 

  • Collins MG, Steiner FR, Rushman MJ (2001) Land-use suitability analysis in the United States: historical development and promising technological achievements. Environ Manage 28:611–621

    Article  Google Scholar 

  • Coltorti M, Pieruccini P, Berakhi O, Dramis F, Asrat A (2009) The geomorphological Map of Mt. Amba Aradam Southern Slope (Tigray, Ethiopia). J Maps 5:56

    Article  Google Scholar 

  • Crozier MJ (2010) Landslide geomorphology: an argument for recognition, with examples from New Zealand. Geomorphology 120:3–15

    Article  Google Scholar 

  • Dai F, Lee C (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42:213–228

    Article  Google Scholar 

  • De Lima J (1990) The effect of oblique rain on inclined surfaces: a nomograph for the rain gauge correction factor. J Hydrol 115:407–412

    Article  Google Scholar 

  • Dietrich W, McKean J, Bellugi D, Perron T (2007) The prediction of shallow landslide location and size using a multidimensional landslide analysis in a digital terrain model. In: Proceedings of the fourth international conference on debris flow hazards mitigation: Mechanics, prediction, and assessment (DFHM-4) Chengdu, China pp 10–13

  • Erener A, Uzgeun HSBD (2008) Analysis on landslide hazard mapping methods: regression models versus weight rating. The international archives of the photogrammetry, remote sensing and spatial sciences 37 (Part B8), Beijing

  • Erpul G, Norton L, Gabriëls D (2003) The effect of wind on raindrop impact and rain splash detachment. Transact ASAE 46:51–62

    Google Scholar 

  • Erpul G, Gabriels D, Norton L (2005) Sand detachment by wind-driven raindrops. Earth Surf Proc Land 30:241–250

    Article  Google Scholar 

  • Guzzetti F, Mondini AC, Cardinali M, Fiorucci F, Santangelo M, Chang K (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112:42–66

    Article  Google Scholar 

  • Hansen A, Franks C, Kirk P, Brimicombe A, Tung F (1995) Application of GIS to hazard assessment, with particular reference to landslides in Hong Kong. Geographical Information Systems in Assessing Natural Hazards. Springer, Netherlands, pp 273–298

    Google Scholar 

  • Helming K (1999) Wind speed effects on rain erosivity, sustaining the global farm-selected papers from the 10th international soil conservation organization meeting 771–776

  • Hutchinson J (1989) General report: morphological and geotechnical parameters of landslides in relation to geology and hydrogeology. In: Proc 5th international symposium on landslides, Lausanne 10-15

    Article  Google Scholar 

  • Hutchinson M (1995) Interpolating mean rainfall using thin plate smoothing splines. Int J Geogr Inf Syst 9:385–403

    Article  Google Scholar 

  • Ismail HE, Rogers JD, Ahmed MF, Abdelsalam MG (2016a) Regional landslide inventory mapping of the Bashilo River watershed, Ethiopia. Environ Eng Geosci. doi:10.2113/EEG-1862

    Article  Google Scholar 

  • Ismail HE, Rogers JD, Ahmed MF, AbuBakar MZ (2016b) Subsurface profile interpretation of landslides, examples from bashilo river watershed Ethiopia. Environ Earth Sci 75(16):1153

    Article  Google Scholar 

  • Jia G, Tian Y, Liu Y, Zhang Y (2008) A static and dynamic factors-coupled forecasting model of regional rainfall-induced landslides: a case study of Shenzhen: Science in China Series E. Technol Sci 51:164–175

    Google Scholar 

  • Jiang G, Tian Y, Xiao C (2013) GIS-based rainfall-triggered landslide warning and forecasting model of Shenzhen, Geo-informatics (GEOINFORMATICS), 2013. In: 21st International Conference on IEEE, 1–5

  • Lee S, Ryu JH, Min K, Won JS (2003) Landslide susceptibility analysis using GIS and artificial neural network. Earth Surf Proc Land 27:1361–1376

    Article  Google Scholar 

  • Liu JK, Shih PT (2013) Topographic correction of wind-driven rainfall for landslide analysis in central Taiwan with validation from aerial and satellite optical images. Remote Sens 5:2571–2589

    Article  Google Scholar 

  • Moeyersons J, Van Den Eeckhaut M, Nyssen J, Gebreyohannes T, Van de Wauw J, Hofmeister J, Poesen J, Deckers J, Mitiku H (2008) Mass movement mapping for geomorphological understanding and sustainable development, Tigray, Ethiopia. Catena 75:45–54

    Article  Google Scholar 

  • Mohr P, Zanettin B (1988) The Ethiopian flood basalt province. Continental flood basalts. Springer, Netherlands, pp 63–110

    Google Scholar 

  • Murthy K, Mamo AG (2009) Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele subbasin, South Ethiopia. Int J Remote Sens 30:2729–2740

    Article  Google Scholar 

  • Nore K, Blocken B, Petter Jelle B, Thue JV, Carmeliet J (2007) A dataset of wind driven rain measurements on a low-rise test building in Norway. Build Environ 42:2150–2165

    Article  Google Scholar 

  • Pradhan B, Lee S (2010) Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 7:13–30

    Article  Google Scholar 

  • Rogers JD (1997) Spatial Geologic Hazard Analysis in Practice: in Spatial Analysis in Soil Dynamics and Earthquake Engineering, in Frost, J.D., ed. ASCE 67:15–28

    Google Scholar 

  • Rogers JD, Ahmed MF, Ismail HE (2016) Preliminary landslide susceptibility analysis using wind driven rainfall. Eng Environ Geosci. doi:10.2113/gseegeosci.22.4.297

    Article  Google Scholar 

  • Ruff M, Czurda K (2008) Landslide susceptibility analysis with a heuristic approach in the Eastern Alps (Vorarlberg, Austria). Geomorphology 94:314–324

    Article  Google Scholar 

  • Tarolli P, Borga M, Chang KT, Chiang SH (2011) Modeling shallow landsliding susceptibility by incorporating heavy rainfall statistical properties. Geomorphology 133:199–211

    Article  Google Scholar 

  • Tefera MAH W (1996) Geological map of Ethiopia Addis Ababa, Ethiopian Institute of Geological Surveys

  • Temesgen B, Mohammed M, Korme T (2001) Natural hazard assessment using GIS and remote sensing methods, with particular reference to the landslides in the Wondogenet area, Ethiopia. Phys Chem Earth C 26:665–675

    Google Scholar 

  • Theilen-Willige B (2010) Detection of local site conditions influencing earthquake shaking and secondary effects in Southwest-Haiti using remote sensing and GIS-methods. Nat Hazards Earth Syst Sci 10:1183–1196

    Article  Google Scholar 

  • Van Den Eeckhaut M, Moeyersons J, Nyssen J, Abraha A, Poesen J, Haile M, Deckers J (2009) Spatial patterns of old, deep-seated landslides: a case-study in the northern Ethiopian highlands. Geomorphology 105:239–252

    Article  Google Scholar 

  • Van Westen CJ, Rengers N, Terlien MTJ, Soeters R (1997) Prediction of the occurrence of slope instability phenomena through GIS-based hazard zonation. Geol Rundsch 86:404–414

    Article  Google Scholar 

  • Vandine DF, Moore G, Wise M, Vanbuskirk C, Gerath R (2004) Technical terms and methods. In: Wise M, Moore G, VanDine D (eds) Landslide risk case studies in forest development planning and operations. BC, Ministry of Forests, Forest Science Program, Abstract of Land Management Handbook, vol 56. Crown Publications, Victoria, BC, pp 13–26

  • Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. UNESCO, Paris, p 63

    Google Scholar 

  • Woldearegay K (2008) Characteristics of a large-scale landslide triggered by heavy rainfall in Tarmaber area, central highlands of Ethiopia, Geophysical Research Abstracts 10

  • Worku A (2011) Recent developments in the definition of design earthquake ground motions calling for a revision of the current Ethiopian Seismic Code EBCS: 1995”. Zede J Ethiopian Eng Arch 28:1–5

    Google Scholar 

  • WP/WLI (International Geotechnical Societies UNESCO Working Party for World Landslide Inventory) (1993) The Multilingual Landslide Glossary. Bi-Tech Publishers, Richmond, p 59p

    Google Scholar 

  • Landslide susceptibility maps of the study area generated by incorporating Belg oblique, integrated rainfall-aspect raster of 55 to 40 degrees with other factor map layers

  • Zadeh LA (1983) The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets Syst 11:197–198

    Article  Google Scholar 

  • Zvelebil J, Sima J, Vilimek V (2010) Geo-risk management for developing countries—vulnerability to mass wasting in Jemma River basin, Ethiopia. Landslides 7:99–103

    Article  Google Scholar 

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Correspondence to M. Farooq Ahmed.

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Ismail, E.H., Rogers, J.D., Ahmed, M.F. et al. Landslide susceptibility mapping of Blue Nile and Tekeze River Basins using oblique rainfall-aspect rasters. Bull Eng Geol Environ 77, 1311–1329 (2018). https://doi.org/10.1007/s10064-017-1033-4

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  • DOI: https://doi.org/10.1007/s10064-017-1033-4

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