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Evaluation of landslides process and potential in Shenmu sub-watersheds, central Taiwan

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Abstract

This study compares two sub-watersheds (Chushui and Aiyuzih sub-watersheds) within a single watershed, the Shenmu watershed, which is one of the most active landslide and debris-flow-prone regions of the Taiwan, and investigates the effect of the variation in geological homogeneity and topographical differences on the evolution of landslides. The study analyses a spatial dataset consisting landslide inventory maps of 11 historical events and 17 satellite images spanning 14 years and recommends a methodology of semi-automatic image identification and visual interpretation procedures. The methodology enhances data integrity via the building of landslide inventories based on pre- and post-event maps. A prediction model of the potential landslide areas within the watershed is developed using a combination of environmental factors, causative factors, and the landslide datasets to determine the spatial and probabilistic relationship in landslide activity. The spatial relationships show that landslides are frequent in areas with favorable combinations of causative and environmental factors related to landslide occurrence. Landslides are prevalent on both sides of river courses, and they are the direct suppliers of sediments to the river, leading to sediment-related disasters. Temporally, it is found that typhoon-induced landslides can be subdivided into three distinct time intervals, and the event, which led to the greatest increase in landslide area, can be identified. Furthermore, a verification of the landslide potential map has been conducted for the two temporal periods of pre-1999 Chi-Chi earthquake and from 1999 Chi-Chi earthquake to pre-2009 typhoon Morakot obtaining an overall accuracy of average 80.35%, which agrees well with previous studies. These maps thus obtained can be used as reference information for decision-making to forecast the occurrence of future landslides and for improving early warning systems and rapid response mechanisms.

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References

  • Aleotti P (2004) A warning system for rainfall-induced shallow failures. Eng Geol 3:247–265

    Article  Google Scholar 

  • Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58(1):21–44

    Article  Google Scholar 

  • Althuwaynee OF, Pradhan B, Park HJ, Lee JH (2014) A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping. CATENA 114:21–36

    Article  Google Scholar 

  • Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65:15–31

    Article  Google Scholar 

  • Borghuis AM, Chang K, Lee HY (2007) Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery. Int J Remote Sens 28(8):1843–1856

    Article  Google Scholar 

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

    Google Scholar 

  • Carrara A, Cardinali M, Guzzetti F, Reichenbach P (1995) GIS technology in mapping landslide hazard. Geographical information systems in assessing natural hazards. Kluwer, Dordrecht, pp 135–176

    Google Scholar 

  • Chang KT, Liu JK (2004) Landslide features interpreted by neural network method using a high-resolution satellite image and digital topographic data. Proceedings of the XXth ISPRS Congress, Istanbul, Turkey, pp 12–23

  • Chang KT, Chiang SH, Chen YC, Hsu ML (2007) Modeling typhoon- and earthquake-induced landslides in a mountainous watershed using logistic regression. Geomorphology 89:335–347

    Article  Google Scholar 

  • Chang KT, Chiang SH, Chen YC, Mondini AC (2014) Modeling the spatial occurrence of shallow landslide triggered by typhoons. Geomorphology 208:137–148

    Article  Google Scholar 

  • Chen SC, Wu CH (2006) Slope stabilization and landslide size on Mt. 99 Peaks after Chi-Chi earthquake in Taiwan. Environ Geol 50(5):623–636

    Article  Google Scholar 

  • Chen SC, Chou HT, Chen SC, Wu CH, Lin BS (2014) Characteristics of rainfall-induced landslides in Miocene formations: a case study of the Shenmu watershed, central Taiwan. Eng Geol 169:133–146

    Article  Google Scholar 

  • Choi J, Oh HJ, Lee HJ, Lee S (2012) Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Eng Geol 124:12–23

    Article  Google Scholar 

  • Clerici A, Perego S, Tellini C, Vescovi P (2006) A GIS-based automated procedure for landslide susceptibility mapping by the conditional analysis method: the Baganza valley case study (Italian Northern Apennines). Environ Geol 50(7):941–961

    Article  Google Scholar 

  • Dahal RK, Hasegawa S, Nonomura A, Yamanaka M, Takuro M, Nishino K (2008) GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environ Geol 54:311–324

    Article  Google Scholar 

  • Fan JC, Liu CH, Yang CH (2009) A laboratory study of groundwater quality and occurrence of mass movement. Environ Geol 57:1509–1519

    Article  Google Scholar 

  • Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multiscale study, Central Italy. Geomorphology 31:181–216

    Article  Google Scholar 

  • Hutchinson JN (1995) Landslide hazard assessment. In: Landslides. Balkema, Rotterdam, pp 1805–1841

    Google Scholar 

  • Ko FWY, Lo FLC (2018) From landslide susceptibility to landslide frequency: a territory-wide study in Hong Kong. Eng Geol 242:12–22

    Article  Google Scholar 

  • Lambin EF, Strahlers AH (1994) Change-vector analysis in multitemporal space: a tool to detect and categorize land-cover change processes using high temporal-resolution satellite data. Remote Sens Environ 48:231–244

    Article  Google Scholar 

  • Li C, Wang M, Liu K (2018) A decadal evolution of landslides and debris flows after the Wenchuan earthquake. Geomorphology 323:1–12

    Article  Google Scholar 

  • Lillesand TM, Kiefer RW (2000) Remote sensing and image interpretation. Wiley & Sons, New York

    Google Scholar 

  • Lin GW, Chen H, Chen YH, Horng MJ (2008) Influence of typhoons and earthquakes on rainfall-induced landslides and suspended sediments discharge. Eng Geol 97:32–41

    Article  Google Scholar 

  • Lin CW, Chang WS, Liu SH, Tsai TT, Lee SP, Tsang YC, Shieh CL, Tseng CM (2011) Landslides triggered by the 7 August 2009 Typhoon Morakot in southern Taiwan. Eng Geol 123:3–12

    Article  Google Scholar 

  • Lo WC, Lin BS, Ho HC, Jeff Keck, Yin HY, Shan HY (2012) A simple and feasible process for using multi-stage high-precision DTMs, field surveys and rainfall data to study debris-flow occurrence factors of Shenmu area, Taiwan. Special Issue: Documentation and Monitoring of Landslides and Debris Flows for Mathematical Modeling and Design of Mitigation Measures, Natural Hazards and Earth System Sciences 12:3407–3419

  • Montgomery DR, Dietrich WE (1994) A physically based model for the topographic control on shallow landsliding. Water Resour Res 30(4):1153–1171

    Article  Google Scholar 

  • Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115:172–187

    Article  Google Scholar 

  • Soil and Water Conservation Bureau (SWCB) (2006) Technical regulations for soil and water conservation. SWCB, Taiwan (in Chinese)

  • Soil and Water Conservation Bureau (SWCB) (2010) Field investigation of mechanism and potential analysis for sediment disaster in Shenmu Village, Shinyi Town, Nantou County. SWCB, Taiwan (in Chinese)

  • Soil and Water Conservation Bureau (SWCB) (2018) Major disaster events. https://246.swcb.gov.tw/V2016/Achievement/MajorDisasters. [Accessed 2018/10/14]

  • Spiker EC, Gori PL (2003) National landslide hazards mitigation strategy—a framework for loss reduction: U.S. Department of the Interior, U.S. Geological Survey, Circular 1244

  • Tang C, van Westen CJ, Tanyas H, Jetten VG (2016) Analysing post-earthquake landslide activity using multi-temporal landslide inventories near the epicentral area of the 2008 Wenchuan earthquake. Nat Hazards Earth Syst Sci 16:2641–2655

    Article  Google Scholar 

  • Tsai F, Hwang JH, Chen LC, Lin TH (2010) Post-disaster assessment of landslides in southern Taiwan after 2009 Typhoon Morakot using remote sensing and spatial analysis. Natural Hazards and Earth System Science 10:2179–2190

    Article  Google Scholar 

  • Van Westen CJ, Castellanos E, Kuriakose SL (2008) Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng Geol 3:112–131

    Article  Google Scholar 

  • Weng MC, Wu MH, Ning SK, Jou YJ (2011) Evaluating triggering and causative factors of landslides in Lawnon River Basin, Taiwan. Eng Geol 123:72–82

    Article  Google Scholar 

  • Yamaguchi Y, Tanaka S, Odajima T, Kamai T, Tsuchida S (2003) Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates. Int J Remote Sens 24(18):3523–3534

    Article  Google Scholar 

Download references

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Correspondence to Bor-Shiun Lin.

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Lin, BS., Thomas, K., Chen, CK. et al. Evaluation of landslides process and potential in Shenmu sub-watersheds, central Taiwan. Landslides 16, 551–570 (2019). https://doi.org/10.1007/s10346-018-1109-7

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  • DOI: https://doi.org/10.1007/s10346-018-1109-7

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