Identification Method of River Blocking by Debris Flow in the Middle Reaches of the Dadu River, Southwest of China
Abstract
:1. Introduction
2. Study Area
3. Type of Interaction between the Debris Flow in a Branch Channel and the Main River
4. Calculation Model for Dam-Type Debris Flow
4.1. Equations of the Motion of a Debris Flow in a Variable-Slope Channel
4.2. Analysis of Debris Flow Movements Considering the Spatial Relationship of the Channel
4.2.1. Maximum Travel Distance at the Cross-Section of the Channel
4.2.2. Deposit Morphology of Debris Flows
5. Calculation Model for Submerged-Type Debris Flow
5.1. Underwater Movement Characteristics of Debris Flows
5.2. Movement Model of the Debris Flow Head
5.2.1. Equations of the Motion in the Two-Dimensional Plane
5.2.2. Basic Equation of the Debris Flow Head
5.3. Travel Distances of the Debris Flow Head
6. Identification Method of River Blocking
7. Discussion
8. Conclusions
- The calculation formulas for the maximum travel distance of the two kinds of debris flows entering the river are obtained through theoretical derivation.
- The formulas for calculating the length and volume of debris flow accumulation are derived, and the relationship between the debris flow loss coefficient and river blocking degree in the middle part of the Dadu River is analyzed.
- Based on the relationship between the maximum blocking degree coefficient and the amount of material sources needed, the identification criterion of river blocking by debris flow is proposed.
- This identification method can swiftly identify a complete dam blockage in a river, but more examples are needed to adjust its loss coefficient.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Li, H.; Bai, X.; Zhai, X.; Zhao, J.; Zhu, X.; Li, C.; Liu, K.; Wang, Q. Research on extension evaluation method of mudslide hazard based on analytic hierarchy Process–Criteria importance through intercriteria correlation combination assignment of game theory ideas. Water 2023, 15, 2961. [Google Scholar] [CrossRef]
- Pei, Y.; Qiu, H.; Yang, D.; Liu, Z.; Ma, S.; Li, J.; Cao, M.; Wufuer, W. Increasing landslide activity in the Taxkorgan River Basin (eastern Pamirs Plateau, China) driven by climate change. Catena 2023, 223, 106911. [Google Scholar] [CrossRef]
- Pei, Y.; Qiu, H.; Zhu, Y.; Wang, J.; Yang, D.; Tang, B.; Wang, F.; Cao, M. Elevation dependence of landslide activity induced by climate change in the eastern Pamirs. Landslides 2023, 20, 1115–1133. [Google Scholar] [CrossRef]
- Yang, D.; Qiu, H.; Ye, B.; Liu, Y.; Zhang, J.; Zhu, Y. Distribution and Recurrence of Warming-Induced Retrogressive Thaw Slumps on the Central Qinghai-Tibet Plateau. JGR Earth Surf. 2023, 128, e2022JF007047. [Google Scholar] [CrossRef]
- Cluff, L.S. Peru earthquake of May 31, 1970; Engineering geology observations. Bull. Seismol. Soc. Am. 1971, 61, 511–533. [Google Scholar] [CrossRef]
- Lyon, B. Enhanced Seasonal Rainfall in Northern Venezuela and the Extreme Events of December 1999. J. Clim. 2003, 16, 2302–2306. [Google Scholar] [CrossRef]
- Yang, F.; Fan, X.; Siva Subramanian, S.; Dou, X.; Xiong, J.; Xia, B.; Yu, Z.; Xu, Q. Catastrophic debris flows triggered by the 20 August 2019 rainfall, a decade since the Wenchuan earthquake, China. Landslides 2021, 18, 3197–3212. [Google Scholar] [CrossRef]
- Li, Y.; Liu, X.N.; Gan, B.R.; Wang, X.K.; Yang, X.G.; Li, H.B.; Long, X.Y.; Zhou, J.W. Formation-Evolutionary Mechanism Analysis and Impacts of Human Activities on the 20 August 2019 Clustered Debris Flows Event in Wenchuan County, Southwestern China. Front. Earth Sci. 2021, 9, 616113. [Google Scholar] [CrossRef]
- Tang, C.; Yang, Y.; Su, Y.; Ding, J.; Huang, W. The disastrous 23 July 2009 debris flow in Xiangshui Gully, Kangding County, Southwestern China. J. Mt. Sci. 2011, 8, 131–139. [Google Scholar] [CrossRef]
- Xie, H.; Liu, W.M.; Zhao, J.H.; Hu, K.H. Characteristics of Tangjiagou Debris Flow in Shimian of Sichuan in July 14, 2012. J. Earth Sci. Environ. 2013, 35, 90–97. [Google Scholar]
- Song, Z.; Deng, R.G.; Chen, Z.S. Analysis of motion process and accumulation zone characteristics of a typical debris flow blocking river case: A case study of the debris flow in Xiongjia Gully. J. Nat. Disasters 2016, 25, 74–80. [Google Scholar]
- Best, L.J. Sediment transport and bed morphology at river channel confluences. Sedimentology 1988, 35, 481–498. [Google Scholar] [CrossRef]
- Leite Ribeiro, M.; Blanckaert, K.; Roy, A.G.; Schleiss, A.J. Flow and sediment dynamics in channel confluences. J. Geophys. Res. Solid Earth 2012, 117, F01035. [Google Scholar] [CrossRef]
- Zheng, H.; Shi, Z.; Hanley, K.J.; Peng, M.; Guan, S.; Feng, S.; Chen, K. Deposition characteristics of debris flows in a lateral flume considering upstream entrainment. Geomorphology 2021, 394, 107960. [Google Scholar] [CrossRef]
- Wang, X.; Yan, X.; Duan, H.; Liu, X.; Huang, E. Experimental study on the influence of river flow confluences on the open channel stage–discharge relationship. Hydrol. Sci. J. 2019, 64, 2025–2039. [Google Scholar] [CrossRef]
- Yu, B.; Yang, C.Y.; Yu, M. Experimental study on the critical condition of river blockage by a viscous debris flow. Catena 2022, 213, 106198. [Google Scholar] [CrossRef]
- Zhu, P.Y.; Cheng, Z.L.; You, Y. Research on causes of river blocking by sediment delivery of Peilonggou Gully debris now in the Sichuan-Xizang Highway. J. Nat. Disasters 2000, 9, 80–83. [Google Scholar]
- Li, H.; Qi, S.; Chen, H.; Liao, H.; Cui, Y.; Zhou, J. Mass movement and formation process analysis of the two sequential landslide dam events in Jinsha River, Southwest China. Landslides 2019, 16, 2247–2258. [Google Scholar] [CrossRef]
- Huang, H.; Xie, Z.S.; Shi, S.W.; Yu, T. Characteristics and Countermeasures of River-blocking Debris Flow of Haermu Gully in Wenchuan Area After Earthquake. Bull. Soil Water Conserv. 2015, 35, 327–337. [Google Scholar]
- Zhang, S.; Wang, F.W.; Li, R. First insight into the catastrophic Atami debris fow induced by a rain gush on 3 July 2021 in Shizuoka, Japan. Landslides 2022, 19, 527–532. [Google Scholar] [CrossRef]
- Gong, X.L.; Chen, X.Q.; Chen, J.G.; Song, D.R. Effects of material composition on deposition characteristics of runoff-generated debris flows. Landslides 2023, 20, 2603–2618. [Google Scholar] [CrossRef]
- Ikeya, H. Debris flow and its countermeasures in Japan. Bull. Eng. Geol. Environ. 1989, 40, 15–33. [Google Scholar] [CrossRef]
- Prochaska, A.B.; Santi, P.M.; Higgins, J.D.; Cannon, S.H. Debris-flow runout predictions based on the average channel slope (ACS). Eng. Geol. 2008, 98, 29–40. [Google Scholar] [CrossRef]
- Fang, M.; Qi, X. Simulation and Prediction Algorithm for the Whole Process of Debris Flow Based on Multiple Data Integration. Water 2023, 15, 2778. [Google Scholar] [CrossRef]
- Wang, F.; Wang, J.D.; Chen, X.Q.; Chen, J.G. The influence of temporal and spatial variations on phase separation in debris flow deposition. Landslides 2019, 16, 497–514. [Google Scholar] [CrossRef]
- Takahashi, T.; Yoshida, K. Study on the deposition of debris flow, part l-deposition due to abrupt change of bed slope. Annu. Disaster Prev. Res. Inst. Kyoto Univ. 1997, 22, 315–328. [Google Scholar]
- Liu, C.R. Critera of Blocking Large River by Debris Flow and Disaster Reduction Countermeasures in Highways along Rivers; Southwest Jiaotong University: Chengdu, China, 2014; pp. 56–66. [Google Scholar]
- Kuang, S.F. Study on behaviors and deposit processes of debris flow at the confluence. J. Sediment Res. 1995, 1, 1–15. [Google Scholar]
- Walker, R.G. Turbidities and associated coarse clastic deposits. Facies Models 1976, 3, 25–36. [Google Scholar]
- Zhou, B.F.; Li, D.J.; Lv, R.R.; Luo, D.F.; Yang, Q.X. Direction for the Mitigations of Debris Flow; Science Press: Beijing, China, 1993. [Google Scholar]
- Ouyang, C.; He, S.; Tang, C. Numerical analysis of dynamics of debris flow over erodible beds in Wenchuan earthquake-induced area. Eng. Geol. 2015, 194, 62–72. [Google Scholar] [CrossRef]
Conditions of the Debris Flow Entering the River | CD |
---|---|
Gentle riverbed, low velocity and low turbulence | 0.5–1.0 |
Sloping riverbed, medium velocity and medium turbulence | 1.0–1.5 |
Steeply sloping areas, high velocity and turbulence | 1.5–2.5 |
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Song, Z.; Fan, G.; Chen, Y.; Liu, D. Identification Method of River Blocking by Debris Flow in the Middle Reaches of the Dadu River, Southwest of China. Water 2023, 15, 4301. https://doi.org/10.3390/w15244301
Song Z, Fan G, Chen Y, Liu D. Identification Method of River Blocking by Debris Flow in the Middle Reaches of the Dadu River, Southwest of China. Water. 2023; 15(24):4301. https://doi.org/10.3390/w15244301
Chicago/Turabian StyleSong, Zhi, Gang Fan, Yanni Chen, and Darui Liu. 2023. "Identification Method of River Blocking by Debris Flow in the Middle Reaches of the Dadu River, Southwest of China" Water 15, no. 24: 4301. https://doi.org/10.3390/w15244301
APA StyleSong, Z., Fan, G., Chen, Y., & Liu, D. (2023). Identification Method of River Blocking by Debris Flow in the Middle Reaches of the Dadu River, Southwest of China. Water, 15(24), 4301. https://doi.org/10.3390/w15244301