Advertisement

The Sediment Production and Transportation in a Mountainous Reservoir Watershed, Southern Taiwan Open image in new window

  • Chih Ming TsengEmail author
  • Kuo Jen Chang
  • Paolo Tarolli
Conference paper

Abstract

This study examined differences in landslide sediment production and sediment transportation abilities of reservoir watersheds in different geological environments after extreme rainfall. The watershed in this study covered an area of 109 km2; the upstream river banks of the reservoir contained interbedded shale and faulted shale and had a sandstone dip slope. This paper uses a LiDAR-derived DTM taken in 2005 and 2010 to investigate the landslide sediment production and riverbed erosion and deposition in the watershed. This study also applied the conservation of mass concept to analyze the sediment outflux in the subwatersheds. The research results indicated that although the right bank, which had interbedded shale and a sandstone dip slope, had a substantially greater number of landslides, the sediment production of it was less than that of the left bank, which had numerous deep-seated landslides caused by fault zones. However, affected by the higher sediment production of the left bank and under the same stream power, the left bank subwatersheds also had higher sediment outflux.

Keywords

LiDAR DTM Landslide Reservoir watershed Sediment yielding Sediment transport 

Notes

Acknowledgements

This work is funded by the grant MOST 105-2625-M-309-003 from the Ministry of Science and Technology, Taiwan, ROC.

References

  1. Baldo M, Bicocchi C, Chiocchini U, Giordan D, Lollino G (2009) LIDAR monitoring of mass wasting processes: the radicofani landslide, province of siena, Central Italy. Geomorphology 105(3–4):193–201CrossRefGoogle Scholar
  2. Borselli L, Cassi P, Torri D (2008) Prolegomena to sediment and flow connectivity in the Landscape, a GIS and field numerical assessment. Catena 75:268–277. doi: 10.1016/j.catena.2008.07.006 CrossRefGoogle Scholar
  3. Central Geological Survey (CGS) (2016) MOEA, R.O.C. (Taiwan). http://www.moeacgs.gov.tw/english2/index.jsp
  4. Central Weather Bureau (CWB) MOTC, R.O.C. (Taiwan). http://www.cwb.gov.tw/eng/index.htm (October 2016)
  5. Dadson SJ, Hovius N, Chen H, Dade WB, Lin JC, Hsu ML, Lin CW, Horng MJ, Chen TC, Milliman J, Stark CP (2004) Earthquake triggered increase in sediment delivery from an active mountain belt. Geology 32(8):733–736CrossRefGoogle Scholar
  6. D’Agostino V, Bertoldi G (2014) On the assessment of the management priority of sediment source areas in a debris-flow catchment. Earth Surf Proc Land 39:656–668. doi: 10.1002/esp.3518 CrossRefGoogle Scholar
  7. Dalla FG, Marchi L (2003) Slope-area relationships and sediment dynamics in two alpine streams. Hydrol Process 17(1):73–87CrossRefGoogle Scholar
  8. DeLong SB, Prentice CS, Hilley GE, Ebert Y (2012) Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow. Earth Surf Process Landforms 37:262–272CrossRefGoogle Scholar
  9. Horton P, Jaboyedoff M, Bardou E. (2008) Debris flow susceptibility mapping at a regional scale. In Proceedings of 4th Canadian conference on geohazards: from causes to management. Université Laval, Québec, pp 399–406Google Scholar
  10. Hsu S, Tseng C, Lin C (2016) Antecedent bottom conditions of reservoirs as key factors for high turbidity in muddy water caused by storm rainfall. J Hydraul Eng. doi: 10.1061/(ASCE)HY.1943-7900.0001241 CrossRefGoogle Scholar
  11. Ijjasz-Vasquez E, Bras RL (1995) Scaling regimes of local slope versus contributing area in digital elevation models. Geomorphology 12:299–311CrossRefGoogle Scholar
  12. 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 123:3–12CrossRefGoogle Scholar
  13. Lin CW, Tseng CM, Tseng YH, Fei LY, Hsieh YC, Tarolli P (2013) Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography. J Asian Earth Sci 62:389–400. doi: 10.1016/j.jseaes.2012.10.022 CrossRefGoogle Scholar
  14. Marchi L, Dalla FG. (2005) GIS morphometric indicators for the analysis of sediment dynamics in mountain basins. Environ Geol 48:218–228. ISSN: 0071–0857CrossRefGoogle Scholar
  15. Pirotti F, Tarolli P (2010) Suitability of LiDAR point density and derived landform curvature maps for channel network extraction. Hydrol Process 24:1187–1197. doi: 10.1002/hyp.7582 CrossRefGoogle Scholar
  16. Rickenmann D, Zimmermann M (1993) The 1987 debris flows in Switzerland: documentation and analysis. Geomorphology 8(2–3):175–189CrossRefGoogle Scholar
  17. Sibson R (1981) A brief description of natural neighbor interpolation. In: Barnett V (ed) Interpreting multivariate data. Wiley, Chichester, pp 21–36Google Scholar
  18. Tarolli P (2014) High-resolution topography for understanding earth surface processes: opportunities and challenges. Geomorphology 216:295–312CrossRefGoogle Scholar
  19. Tseng CM, Lin CW, Stark CP, Liu JK, Fei LY, Hsieh YC (2013) Application of a multi-temporal, LiDAR-derived, digital terrain model in a landslide-volume estimation. Earth Surf Proc Land 38(13):1587–1601. doi: 10.1002/esp.3454 CrossRefGoogle Scholar
  20. Tseng CM, Lin CW, Fontana GD, Tarolli P (2015) The topographic signature of a major typhoon. Earth Surf Proc Land 40(8):1129–1136. doi: 10.1002/esp.3708 CrossRefGoogle Scholar
  21. Simonett DS (1967) Landslide distribution and earthquakes in the Bewani and Torricelli Mountains, New Guinea. In: Jennings JN, Mabbutt JA (eds) Landform studies from Australia and NewGuinea. Cambridge University Press, Cambridge, pp 64–84Google Scholar
  22. Ventura G, Vilardo G, Terranova C, Sessa EB (2011) Tracking and evolution of complex active landslides by multi-temporal airborne LiDAR data: the montaguto landslide (Southern Italy). Remote Sens Environ 115:3237–3248CrossRefGoogle Scholar
  23. Water Resources Agency (WRA) MOEA, R.O.C. (Taiwan). http://eng.wra.gov.tw/lp.asp?ctNode=6299&CtUnit=1177&BaseDSD=43 (October 2016)
  24. Zimmermann M, Mani P, Gamma P (1997) Murganggefahr und Klimaänderung—einGIS-basierter Ansatz. vdf Hochschulverlag AG an der ETH Zürich 162 (in German)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Chih Ming Tseng
    • 1
    Email author
  • Kuo Jen Chang
    • 2
  • Paolo Tarolli
    • 3
  1. 1.Department of Land Management and DevelopmentChang Jung Christian UniversityGueiren District, Tainan CityTaiwan (R.O.C.)
  2. 2.Department of Civil EngineeringNational Taipei University of TechnologyTaipei CityTaiwan (R.O.C.)
  3. 3.Department of Land, Environment, Agriculture and ForestryUniversity of Padova AgripolisLegnaro(PD)Italy

Personalised recommendations