Coupled model constructed to simulate the landslide dam flood discharge: a case study of Baige landslide dam, Jinsha River

Hongjie WANG , Yi ZHOU , Shixin WANG , Futao WANG

Front. Earth Sci. ›› 2020, Vol. 14 ›› Issue (1) : 63 -76.

PDF (4869KB)
Front. Earth Sci. ›› 2020, Vol. 14 ›› Issue (1) : 63 -76. DOI: 10.1007/s11707-019-0805-5
RESEARCH ARTICLE
RESEARCH ARTICLE

Coupled model constructed to simulate the landslide dam flood discharge: a case study of Baige landslide dam, Jinsha River

Author information +
History +
PDF (4869KB)

Abstract

Landslide dam, always triggered by the strong earthquake and heavy rain, is a common natural disaster around the world. In this study, a coupled model was built by combining DB-IWHR model and the two-dimensional hydrodynamic model to simulate the landslide dam flood discharge. We mapped the maximum Baige landslide dam flood inundated area based on Gaofen-1 imagery, and then simulated the process of Baige landslide dam flood discharge using this coupled model. It was proved that, with 80.05% F values, the coupled model was suitable to simulate the process of landslide dam flood discharge. Lastly, multiple scenarios were simulated respectively by setting varying width and depth of spillway. The results of scenarios 1–4 indicated that spillway width presented low sensibility to the peak flow in spillway and the time of its arrival, and similarly to the water depth at river cross-section and the inundated area. Water depth at river cross-section and the inundated area decreased as spillway width increased. Even if spillway width varied at 10 m interval, the average variation of water depth was less than 1.82 m and the variation of inundated area was less than 2.85%. However, the results of scenarios 5–8 indicated that spillway depth was sensitive to the peak flow in spillway and its arrival time, and also to water depth at river cross-section and the inundated area. Water depth at river cross-section and the inundated area increased first and then started to drop with spillway depth kept decreasing. When spillway depth varied at only 2 m interval, the average variation of water depth at river cross-section basically exceeded 2 m and the variation of inundated area was more than 2.85%.

Keywords

landslide dam / scenario simulation / flood discharge

Cite this article

Download citation ▾
Hongjie WANG, Yi ZHOU, Shixin WANG, Futao WANG. Coupled model constructed to simulate the landslide dam flood discharge: a case study of Baige landslide dam, Jinsha River. Front. Earth Sci., 2020, 14(1): 63-76 DOI:10.1007/s11707-019-0805-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Ahmad I, Verma M K (2018). Application of analytic hierarchy process in water resources planning: a GIS based approach in the identification of suitable site for water storage. Water Resour Manage, 32(15): 5093–5114

[2]

Basabe P T (2013). Encyclopedia of natural hazards. Encyclopedia of Earth Sciences, 28(2): 36

[3]

Begnudelli L, Sanders B F (2007). Simulation of the St. Francis dam-break flood. J Eng Mech, 133(11):1153–1161

[4]

Brown R J, Rogers D C (1981). BRDAM Users Manual. Denver: U.S. Dept. of the Interior, Water and Power Resources Service

[5]

Brunner G W (2016). HEC-RES River Analysis System-User’s Manual Version 5.0. US Army Corps of Engineers. Institute for Water Resources, Hydrologic Engineering Center (HEC). 962

[6]

Cenderelli D A (2000). Floods from natural and artificial dam failures. In: Wohl EE., ed. Inland Flood Hazards. Cambridge: Cambridge University Press

[7]

Chai H J, Liu H C, Zhang Z Y (1995). The catalog of Chinese landslide dam events. J Geol Hazards Env Preserv, 6(1): 1–9 (in Chinese)

[8]

Chang D S, Zhang L M (2010). Simulation of the erosion process of landslide dams due to overtopping considering variations in soil erodibility along depth. Nat Hazards Earth Syst Sci, 10(4): 933–946

[9]

Chen R F, Chang K J, Angelier J, Chan Y C, Deffontaines B, Lee C T, Lin M L (2006). Topographical changes revealed by high-resolution airborne LiDAR data: the 1999 Tsaoling landslide induced by the Chi-Chi earthquake. Eng Geol, 88(3): 160–172

[10]

Chen X, Cui P, You Y, Chen J, Li D (2015a). Engineering measures for debris flow hazard mitigation in the Wenchuan earthquake area. Engineering Geological, 194(SI): 73–85

[11]

Chen Z, Ma L, Yu S, Chen S, Zhou X, Sun P, Li X (2015b). Back analysis of the draining process of the Tangjiashan Barrier Lake. J Hydraul Eng, 141(4): 05014011

[12]

Chen Z Y, Zhang Q, Hou J M, Wang L, Ma L P (2019). Back analysis on dam-breach flood of “10.10” Baige barrier lake on Jinsha River. Yangtze River, 50(5): 1–4 (in Chinese)

[13]

Cook A C (2008). Comparison of one-dimensional HEC-RAS with two-dimensional FESWMS Model in flood inundation mapping. Dissertation for Master’s Degree. West Lafayette: Purdue University

[14]

Costa J E, Schuster R L (1988). The formation and failure of natural dams. Geol Soc Am Bull, 100(7): 1054–1068

[15]

Costa J E, Schuster R L (1991). Documented historical landslide dams from around the world. US Geol Surv Open-File Rep: 91–239

[16]

Costa J E (1985). Floods from dam failures. U.S. Geological Survey Open-File Rep. No. 85–560, U.S. Geological Survey, Denver

[17]

Cristofano E A (1965). Method of computing erosion rate of failure of earth dams. Denver: U.S. Bureau of Reclamation

[18]

Dai F C, Lee C F, Deng J H, Tham L G (2005). The 1786 earthquake-triggered landslide dam and subsequent dam-break flood on the Dadu River, southwestern China. Geomorphology, 65(3–4): 205–221

[19]

Dong J J, Tung Y H, Chen C C, Liao J J, Pan Y W (2009). Discriminant analysis of the geomorphic characteristics and stability of landslide dams. Geomorphology, 110(3–4): 162–171

[20]

Evans S G, Delaney K B, Hermanns R L, Strom A, Scarascia-Mugnozza G (2011). The formation and behavior of natural and artificial rockslide dams: implications for engineering performance and hazard management. In: Evans S G, Hermanns R L, Strom A L, Scarascia Mugnozza G, eds. Natural and artificial rockslide dams. Lecture Series in Earth Sciences. Berlin: Springer, 1–76

[21]

Ermini L, Casagli N (2003). Prediction of the behavior of landslide dams using a geomorphological dimensionless index. Earth Surf Process Landf, 28(1): 31–47

[22]

Evans S G (1986). The maximum discharge of outburst floods caused by the breaching of man-made and natural dams. Can Geotech J, 23(3): 385–387

[23]

Fan X M, Cees J, Westen V, Korup O, Gorum T, Xu Q, Dai F C, Huang R Q, Wang G H (2012). Transient water and sediment storage of the decaying landslide dams induced by the 2008 Wenchuan earthquake, China. Geomorphology, 171–172: 58–68

[24]

Fread D L (1984). DAMBRK: The NWS dam break flood forecasting model. National Oceanic and Atmospheric Administration, National Weather Service, Silver Spring

[25]

Fread D L (1988). BREACH: an erosion model for earthen dam failure. National Oceanic and Atmospheric Administration, National Weather Service, Silver Spring

[26]

Gallegos H A, Schubert J E, Sanders B F (2009). Two-dimensional, high-resolution modeling of urban dan-break flooding: a case study of Baldwin Hills, California. Adv Water Resour, 32(8): 1323–1335

[27]

Gorum T, Fan X M, Westen C J, Huang R, Xu Q, Tang C, Wang G (2011). Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake. Geomorphology, 133(3–4): 152–167

[28]

Hermanns R L, Folguera A, Penna I, Fauqué L, Niedermann S (2011). Landslide dams in the central Andes of Argentina (Northern Patagonia and the Argentine Northwest). In: Evans S G, Hermanns R L, Strom A L, Scarascia Mugnozza G, eds. Natural and Artificial Rockslide Dams. Lecture Series in Earth Sciences. Berlin: Springer, 147–176

[29]

Horritt M S, Bates P D (2002). Evaluation of 1D and 2D numerical models for predicting river flood inundation. J Hydrol (Amst), 268(1–4): 87–99

[30]

Hou J M, Ma L P, Chen Z Y, QI W C, Wang L (2019). High-performance numerical simulation for dam-break flood propagation of Baige barrier lake in Jinsha River. Yangtze River, 50(4): 65–70 (in Chinese)

[31]

Keefer D K (1984). Landslides caused by earthquakes. Geol Soc Am Bull, 95(4): 406–421

[32]

Knebl M R, Yang Z L, Hutchison K, Maidment D R (2005). Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. J Environ Manage, 75(4): 325–336

[33]

Korup O (2002). Recent research on landslide dams—a literature review with special attention to New Zealand. Prog Phys Geogr, 26(2): 206–235

[34]

Korup O (2004). Geomorphometric characteristics of New Zealand landslide dams. Eng Geol, 73(1–2): 13–35

[35]

Korup O, Tweed F (2007). Ice, moraine, and landslide dams in mountainous terrain. Quat Sci Rev, 26(25): 3406–3422

[36]

Li W J, Lin K R, Zhao T G, Lan T, Chen X H, Du H W, Chen H Y (2019). Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models. J Hydrol (Amst), 572: 108–120

[37]

Mandrone G, Clerici A, Tellini C (2007). Evolution of a landslide creating a temporary lake: successful prediction. Quat Int, 171: 72–79

[38]

Morris M W, Galland J C (1988). CADAM: Dam Break Modeling Guideline & Best Practice. Munich: HR Wallingford Ltd.

[39]

O’Connor J E, Costa J E (2004). The world’s largest floods, past and presented—their causes and magnitudes. Geol Surv Circ, 1254: 1–13

[40]

O’Connor J E, Beebee R A (2009). Floods from natural rock-material dams. Mega Flooding on Earth and Mars, 128–163

[41]

Pender G (2006). Briefing: introducing the flood risk management research consortium. Proc Inst Civ Eng Water Management, 159(1): 3–8

[42]

Peng M, Zhang L M (2012). Breaching parameters of landslide dams. Landslides, 9(1): 13–31

[43]

Renschler C S, Wang Z H (2017). Multi-source data fusion and modeling to assess and communicate complex flood dynamic to support decision-making for downstream areas of dams: the 2011 hurricane irene and Schoharie creek floods, NY. International Apply Earth Observation Geoinformation, 62: 157–173

[44]

Roberts S, Nielsen O, Gray D, Sexton J, Davies G (2015). ANUGA User Manual. Commonwealth of Australia and the Australian National University

[45]

Schubert J E, Sanders B F, Smith M J, Wright N G (2008). Unstructured mesh generation and landcover-based resistance for hydrodynamic modeling of urban flooding. Adv Water Resour, 31(12): 1603–1621

[46]

Schuster R L (1995). Landslide dams—a worldwide phenomenon. Landslides, 31(4): 38–49

[47]

Smith L C (1997). Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrol Processes, 11(10): 1427–1439

[48]

Singh V P, Scarlatos P D, Collins J G, Jourdan M R (1988). Breach erosion of earth-fill dams (BEED) model. Nat Hazards, 1(2): 161–180

[49]

Teng J, Jakeman A J, Vaze J, Croke B F W, Dutta D, Kim S (2017). Flood inundation modelling: a review of methods, recent advances and uncertainty analysis. Environ Model Softw, 90: 201–216

[50]

Viero D P, Peruzzo P, Carniello L, Defina A (2014). Integrated mathematical modeling of hydrological and hydrodynamic response to rainfall events in rural lowland catchments. Water Resour Res, 50(7): 5941–5957

[51]

Walder J S, O’Connor J E (1997). Methods for predicting peak discharge of floods caused by failure of natural and constructed earthen dams. Water Resour Res, 33(10): 2337–2348

[52]

Wang F, Okeke A C U, Kogure T, Sakai T, Hayashi H (2018a). Assessing the internal structure of landslide dams subject to possible pipingerosion by means of microtremor chain array and self-potential surveys. Eng Geol, 234: 11–26

[53]

Wang G H, Huang R Q, Kamai T, Zhang F Y (2013). The internal structure of a rockslide dam induced by the 2008 Wenchuan (Mw7.9) earthquake, China. Eng Geol, 156: 28–36

[54]

Wang Z, Bowles D S (2006). Three-dimensional non cohesive earthen dam breach model. Part I: theory and methodology. Adv Water Resour, 29(10): 1528–1545

[55]

Wang L, Chen Z, Wang N, Sun P, Yu S, Li S, Du X (2016). Modeling lateral enlargement in dam breaches using slope stability analysis based on circular slip mode. Eng Geol, 209: 70–81

[56]

Wang S X, Yang B L, Zhou Y, Wang F T, Zhang R, Zhao Q (2018 b). Three-dimensional information extraction from GaoFen-1 satellite images for landslide monitoring. Geomorphology, 309: 77–85

[57]

Willmott C J (1981). On the validation of model. Phys Geogr, 2(2): 184–194

[58]

Wu W (2013). Simplified Physically Based model of earthen Embankment Breach. J Hydraul Eng, 139(8): 837–851

[59]

Xu Q, Fan X M, Huang R Q, Westen C (2009). Landslide dams triggered by the Wenchuan earthquake, Sichuan Province, southwest China. Bull Eng Geol Environ, 68(3): 373–386

[60]

Xu Y, Zhang L M (2009). Breaching parameters for earth and rockfill dams. J Geotech Geoenviron, 135(12): 1957–1970

[61]

Yin J, Zhao Q, Yu D P, Lin N, Kubanek J, Ma G Y, Liu M, Pepe A (2019). Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: the case study of Lingang New City, Shanghai. J Hydrol (Amst), 571: 593–604

[62]

Zhang H Q, Liu S, Hu C W, Xu W H (2015). Emergency response on flooding and subsiding process for Levee-breach at Tongfu Section of Heilongjiang River. Studies and Discussions, 25(1): 65–69 (in Chinese)

[63]

Zhang J Y, Li Y, Xuan G X, Wang X G, Li J (2009). Overtopping breaching of cohesive homogeneous earth dam with different cohesive strength. Sci China Ser E-Tech Sci, 52(10): 3024–3029

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (4869KB)

903

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/