Abstract
t is of great significance for gully prevention and management to identify the potential sediment source of debris flow. Debris flow in a gully always originates from tributaries that have different gravity potential energies and sediment condition. In this study, tributaries of the Jiangjia Gully (JJG) in Yunnan province, China, are taken as the study area to determine the possible sediment sources of debris flow. It was found that tributaries with a high evolution index (EI, the integral of the hypsometric curve) always had high gravity potential energy, which favors the occurrence of landslide activity. Furthermore, the relationship between sediment distribution, gravity potential energy, and EI is compared, respectively. The results showed that the EI had a greater influence on the occurrence of landslides, and sediments were concentrated in tributaries with EI between 0.5 and 0.6. Accordingly, tributaries with EI > 0.5 were identified as the sediment sources of debris flow. In addition, the shape of a tributary was related to EI and can reflect the condition of water and sediment storage.
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References
Amashi AR, Hulagabali AM, Solanki CH, et al. (2019) Landslide risk assessment and mitigation—A case study. Soil Dyn Earthq Geotech Eng 15: 249–258. https://ISBN:978-981-13-0561-0
Adimoolam B, Banerjee S (eds), Soil Dynamics and Earthquake Geotechnical Engineering. Lecture Notes in Civil Engineering 15: 249–258. https://doi.org/10.1007/978-981-13-0562-7_27
Baena JAP, Scifoni S, Marsella M, et al. (2019) Landslide susceptibility map** on the islands of Vulcano and Lipari (Aeolian Archipelago, Italy), using a multi-classification approach on conditioning factors and a modified GIS matrix method for areas lacking in a landslide inventory. Landslides 16(5): 969–982. https://doi.org/10.1007/s10346-019-01148-0
Brink UT, Geist EL, Andrews BD (2006) Size distribution of submarine landslides and its implication to tsunami hazard in Puerto Rico. Geophys Res Lett 33(11): 431–433. https://doi.org/10.1029/2006GL026125
Braun A, Cuomo S, Petrosino S, et al. (2017) Numerical SPH analysis of debris flow run-out and related river damming scenarios for a local case study in SW China. Landslides 15: 535–550. https://doi.org/10.1007/s10346-017-0885-9
Cannon, SH (1988). Regional rainfall-threshold conditions for abundant debris-flow activity. Landslides, floods, and marine effects of the storm of January 3–5: 35–42.
Chen CY, Wang Q (2017) Debris flow-induced topographic changes: Effects of recurrent debris flow initiation. Environ Monit Assess 189(9): 449. https://doi.org/10.1007/s10661-017-6169-y
Ciurleo M, Mandaglio MC, Moraci N (2019) Landslide susceptibility assessment by TRIGRS in a frequently affected shallow instability area. Landslides 16: 175–188. https://doi.org/10.1007/s10346-018-1072-3
Cuomo S, Moretti S, Aversa S (2019) Effects of artificial barriers on the propagation of debris avalanches. Landslides 16: 1077–1087. https://doi.org/10.1007/s10346-019-01155-1
Cuomo, Sabatino, Pierri. (2016) Experimental evidences and numerical modelling of runoff and soil erosion in flume tests. Catena 147: 61–70. https://doi.org/10.1016/j.catena.2016.06.044
D Lin, Zhang B, Deng Q, et al. (2016) Hypsometric Integral Analysis of Yuanmou Dry-hot Valley. China West Norm Univ 37(2): 227–232. (In Chinese) https://doi.org/10.16246/j.issn.1673-5072.2016.02.021
Ding MT, Heiser M, Hübl J, et al. (2016) Regional vulnerability assessment for debris flows in China—a CWS approach. Landslides 13: 537–550. https://doi.org/10.1007/s10346-015-0578-1
Fan JR, Li XZ, Guo FF (2011) Empirical-statistical models based on remote sensing for estimating the volume of landslides induced by the Wenchuan earthquake. J Mt Sci 8(5): 711–717. https://doi.org/10.1007/s11629-011-2133-4
Guo J, Wang W (2015) Quantitative analysis of the geomorphic evolution stage of the luohe river basin in northern shaanxi province. Arid Reg Geogr 38(6): 1161–1168. (In Chinese)
Guthrie RH, Evans SG (2004) Magnitude and frequency of landslides triggered by a storm event, Loughborough Inlet, British Columbia. Nat Hazards Earth Syst 4(3): 475–483. https://doi.org/10.5194/nhess-4-475-2004
Guzzetti F, Ardizzone F, Cardinali M (2008) Distribution of landslides in the Upper Tiber River basin, central Italy. Geomorphology 96(1–2): 0–122. https://doi.org/10.1016/j.geomorph.2007.07.015
Guzzetti F, Ardizzone F, Cardinali M (2009) Landslide volumes and landslide mobilization rates in Umbria, central Italy. Earth Planet Sci Lett 279(3–4): 0–229. https://doi.org/10.1016/j.epsl.2009.01.005
Hu M, Liu Q, Liu P (2019) Susceptibility Assessment of Landslides in Alpine-Canyon Region Using Multiple GIS-Based Models. Wuhan Univ J Nat Sci 24: 257–270. https://doi.org/10.1007/s11859-019-1395-5
Hovius N, Stark CP, Allen PA (1997) Sediment flux from a mountain belt derived by landslide map**. Geology 25(3): 231. https://doi.org/10.1130/0091-7613(1997)025<0231:SFFAMB>2.3.CO;2
Imaizumi F, Sidle RC (2007) Linkage of sediment supply and transport processes in Miyagawa Dam catchment, Japan. J Geophys Res 112(F3). https://doi.org/10.1029/2006JF000495
Innes JL (1983) Lichenometric dating of debris — flow deposits in the Scottish Highlands. Earth Surf Process Landf 8(6): 579–588. https://doi.org/10.1002/esp.3290080609
Iverson RM, Major JJ (1986) Groundwater seepage vectors and the potential for hillslope failure and debris flow mobilization. Water Resour Res 22(11): 1543–1548. https://doi.org/10.1029/WR022i011p01543
Iverson RM (1997) The physics of debris flows. Rev Geophys 35(3): 245. https://doi.org/10.1029/97RG00426
Klar A, Aharonov E, Kalderon-Asael B (2011) Analytical and observational relations between landslide volume and surface area. J Geophys Res Earth Surf 116(F2). https://doi.org/10.1029/2009JF001604
Korup O (2005) Distribution of landslides in southwest New Zealand. Landslides 2(1): 43–51. https://doi.org/10.1007/s10346-004-0042-0
Langebein WB, Basil W (1947) Topographic characteristics of drainage basins. USGS Water Supply Paper 986: 125–157.
Li Y, Liu JJ, Hu KH, et al. (2012) Probability distribution of measured debris-flow velocity in Jiangjia gully, Yunnan province, China. Nat hazards 60: 689–701. https://doi.org/10.1007/s11069-011-0033-0
Li Y, Liu JJ, Su FH, et al. (2015) Relationship between grain composition and debris flow characteristics: A case study of the jiangjia gully in China. Landslides 12: 19–28. https://doi.org/10.1007/s10346-014-0475-z
Liu JJ, Li Y, Su PC, et al. (2008) Magnitude-frequency relations in debris flow. J Environ Geol 55: 1345–1354. https://doi.org/10.1007/s00254-007-1083-1
Lv XJ, Liu XL, Su PC (2005) Area of debris flow gully in the daqu river basin in sichuan province during its development stage-elevation analysis. J Mt Sci 23: 336–341. (In Chinese) https://doi.org/10.3969/j.issn.1008-2786.2005.03.013
Mathier L, Roy A, Pare J (1989) The effect of slope gradient and length on the parameters of a sediment transport equation for sheetwash. Catena 16: 545–558. https://doi.org/10.1016/0341-8162(89)90041-6
Metternicht G, Hurni L, Gogu R (2005) Remote sensing of landslides: an analysis of the potential contribution to geospatial systems for hazard assessment in mountainous environments. Remote Sens Environ 98: 284–303. https://doi.org/10.1016/j.rse.2005.08.004
Pike RJ, Wilson SE (1971) Elevation-relief ratio, hypsometric integral, and geomorphic area-altitude analysis. J Geol Soc Am Bull 82: 1079–1084. https://doi.org/10.1130/0016-7606(1971)82[1079:ERHIAG]2.0.CO;2
Rao J, Shen J, Tang XB, et al. (2017) Risk Assessment of Landslide Based on Fuzzy Comprehensive Evaluation and Information Entropy. J Yangtze River Sci Res Inst 34(6): 62–66, 71. https://doi.org/10.11988/ckyyb.20160201 (In Chinese)
Rice RM, Crobett ES, Bailey RG (1969) Soil Slips Related to Vegetation, Topography, and Soil in Southern California. Water Resour Res 5(3): 647–659. https://doi.org/10.1029/WR005i003p00647
Rodriguez-Iturbe I, Ijjasz-Vasquez EJ, Bras R, et al. (1992) Power law distributions of discharge mass and energy in river basins. Water Resour Res 28: 1089–1093. https://doi.org/10.1029/91WR03033
Sabatino, Cuomo, Bruno, et al. (2016) Micromechanical modelling of rainsplash erosion in unsaturated soils by Discrete Element Method. Catena 147: 146–152. https://doi.org/10.1016/j.catena.2016.07.007
Samodra G, Hadmoko DS, Wicaksono GN, et al. (2018) The March 25 and 29, 2016 landslide-induced debris flow at Clapar, Banjarnegara, Central Java. Landslides 15: 995. https://doi.org/10.1007/s10346-018-0958-4
Schumm SA (1954) The relation of drainage basin relief to sediment loss. Int Assoc Hyd 36: 216–219.
Schumm SA (1956) The evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. J Geol Soc Amer Bull 67: 597–646. https://doi.org/10.1130/0016-7606(1956)67[597:EODSAS]2.0.CO;2
Singh A, Kanungo DP, Pal S (2019) Physical vulnerability assessment of buildings exposedto landslides in India. Nat Hazards 96: 753–790. https://doi.org/10.1007/s11069-018-03568-y
Strahler AN (1952) Hypsometric (area-altitude) analysis of erosional topography. J Geol Soc Amer Bull 63: 1117–1142. https://doi.org/10.1130/0016-7606(1952)63[1117:HAAOET]2.0.CO;2
Strahler AN (1957) Quantitative analysis of watershed geomorphology. Eos, Transactions American Geophysical Union 38: 913–920. https://doi.org/10.1029/TR038i006p00913
Strahler AN (1964) Quantitative geomorphology of drainage basins and channel networks. Handbook of Applied Hydrology. pp 439–476.
Temesgen B, Mohammed MU, Korme T (2001) Natural hazard assessment using GIS and remote sensing methods, with particular reference to the landslides in the Wondogenet Area. Ethiopia 26: 665–675. https://doi.org/10.1016/S1464-1917(01)00065-4
Tian LQ, Hu FD, Li J (1987) Characteristics of debris flow sources in Jiangjia Gully. J Acta monasterica sinica 5 (4): 196–202. (In Chinese) Wu JS, Kang ZC, Tian LQ, et al. (1990) Debris flow observation in the Jiangjia Gully, Yunnan. (In Chinese)
Willgoose G (1994) A physical explanation for an observed area-slope-elevation relationship for catchments with declining relief. Water Resour Res 2: 151–159. https://doi.org/10.1029/93WR01810
Willgoose G, Bras RL, Rodriguez-Iturbe I (1991) A coupled channel network growth and hillslope evolution model 1. Theory. Theory.Water Resour Res 27: 1671–1684. https://doi.org/10.1029/91WR00936
**ang LZ, Li Y, Chen, HK (2015) Analysis of debris flow sensitivity based on basin evolution. Res Environ Yangtze River Basin 24(11): 1984–1992. (In Chinese) https://doi.org/10.11870/cjlyzyyhj201511024
**e X, Wei F, Zhang J, et al. (2015) Application of projection pursuit model to landslide risk classification assessment. Earth Sci 40(9): 1598–1606. (In Chinese) https://doi.org/10.3799/dqkx.2015.144
Acknowledgement
This study is supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA23090202), the National Natural Science Foundation of China (Grant Nos. 41790432, 41877261) and the Key International S&T Cooperation Projects (Grant No. 2016YFE0122400).
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Tian, Xf., Li, Y. & Tian, Qy. Potential sediment sources identification of debris flows in the Jiangjia Gully, China. J. Mt. Sci. 18, 1886–1901 (2021). https://doi.org/10.1007/s11629-019-5787-y
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DOI: https://doi.org/10.1007/s11629-019-5787-y