Volume 9, Issue 18 (1-2019)                   jwmr 2019, 9(18): 70-79 | Back to browse issues page


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Tehran university
Abstract:   (3329 Views)
Debris flow, as a severe geological disaster, causes huge damages in the mountainous areas every year. The peak discharge of flood and the hydraulic roughness of flow are affected by sediment concentration of debris flow. Therefore, the estimation of sediment concentration based on physical characteristics of basin, sediment and precipitation are necessary. The aim of this study is proposing an empirical equation for the determination of the sediment concentration of the debris flows in the study area using the rainfall parameters, so that the weakness of applying the fixed value for the debris flow concentration proposed by previous researchers can be removed.  For this purpose, the relations between each of the parameters including cumulative rainfall, antecedent rainfall and the total rainfall (sum of cumulative and antecedent rainfalls) parameters with sediment concentration of the debris flows were investigated by using of the rainfall and the debris flow density recorded in the international research station, Jiangjia Gully, for the period of 1999-2004 years.  To derive the best equation, cross validation method was used and the relations error were determined by statistical indicators including coefficient of determination, R2, Mean Absolute Relative Error (MARE) and Nash-Sutcliffe Efficiency (NSE) coefficient. Results showed that higher correctness was obtained using the sum of cumulative rainfall and antecedent rainfall parameters (total rainfall) for determining of the sediment concentration of debris flow. The statistical indices of the proposed model (MARE=0.06, R2=0.86 and NSE=0.84) represent the high ability of the proposed equation in the estimation of the sediment concentration of debris flows where the estimation error of the sediment concentration was reduced on average about 80% comparing to other researchers’ equations. The range of the relative density of sediment is between 1.63-2.23 gr/cm3. Moreover, the range for the cumulative rainfall and the antecedent rainfall are varied between 3.36-75.36 and 0.772-92.59 mm, respectively. After calibration of the proposed equation of this research, it can be used for estimation of the sediment concentration of debris flow in the other prone basins, which have the similar storms.
 
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Type of Study: Research | Subject: مديريت حوزه های آبخيز
Received: 2018/01/13 | Revised: 2019/01/20 | Accepted: 2018/06/11 | Published: 2019/01/21

References
1. Banihabib, M.E. 1999. Sediment Transport of Mud Flow, 1st Iranian Hydraulic Conference, Iranian Hydraulic Association, 1-13 pp, Tehran, Iran (In Persian).
2. Banihabib, M.E. and M. Elahi. 2009. Empirical Equation for Abrasion of Stilling Basin Caused by Impact of Sediment. In World Environmental and Water Resources Congress 2009: Great Rivers, 1-10. [DOI:10.1061/41036(342)352]
3. Banihabib, M.E. and A. Masumi. 2008. Effect of High-Concentrated Sediment Transport on Inundation of Rivers: Case Study Masuleh Flood. 2nd Iranian Hydraulic Conference, Iranian Hydraulic Association, 1-8 pp, Tehran, Iran (In Persian).
4. Cui, P., X. Chen, Y. Waqng, K. Hu and Y. Li. 2005. Jiangjia Ravine debris flows in south-western China. In Debris-flow hazards and related phenomena. Springer Berlin Heidelberg, 565-594. [DOI:10.1007/3-540-27129-5_22]
5. Dong, J.J., C.T. Lee, Y.H. Tung, C.N. Liu, K.P. Lin, and J.F. Lee. 2009. The role of the sediment budget in understanding debris flow susceptibility. Earth Surface Processes and Landforms, 34(12): 1612-1624. [DOI:10.1002/esp.1850]
6. Fathizad, H., H. Karimi and M. Tavakoli. 2016. Role of sensitivity of erosion the geological formations at erosion rate and sediment yield (case study: sub-basins of Doviraj river, Ilam province). Journal of watershed management research, 7(13): 193-208 (In Persian). [DOI:10.18869/acadpub.jwmr.7.13.208]
7. Franzi, L. and G. Bianco. 2001. A statistical method to predict debris flow deposited volumes on a debris fan. Physics and Chemistry of the Earth, Part C: Solar, Terrestrial and Planetary Science, 26(9): 683-688. [DOI:10.1016/S1464-1917(01)00067-8]
8. Guo, X.J., P. Cui and Y. Li. 2013. Debris flow warning threshold based on antecedent rainfall: A case study in Jiangjia Ravine, Yunnan, China. Journal of Mountain Science, 10(2): 305-314. [DOI:10.1007/s11629-013-2521-z]
9. Hashemy dovin, M. 2014. Assessment effect of ENSO multivariate index on winter precipitation in North Khorasan. Journal of Research of Climatology, 32-44 (In Persian).
10. Hassan-Esfahani, L. and M.E. Banihabib. 2016. The impact of slit and detention dams on debris flow control using GSTARS 3.0. Environmental Earth Sciences, 75(4): 1-11. [DOI:10.1007/s12665-015-5183-z]
11. Li, Y., B.L. Wang, X.J. Zhou and W.C. Gou. 2015. Variation in grain size distribution in debris flow. Journal of Mountain Science, 12(3): 682-688. [DOI:10.1007/s11629-014-3351-3]
12. Lien, H.P. and F.W. Tsai. 2003. Sediment concentration distribution of debris flow. Journal of Hydraulic Engineering, 129(12): 995-1000. [DOI:10.1061/(ASCE)0733-9429(2003)129:12(995)]
13. Marchi, L. and V. D'Agostino. 2004. Estimation of debris‐flow magnitude in the Eastern Italian Alps. Earth Surface Processes and Landforms, 29(2): 207-220. [DOI:10.1002/esp.1027]
14. Mostafazadeh, R., Kh. Haji, A. Esmali-Ouri and H. Nazarnejad. 2017. Prioritization the critical sub-watersheds based on soil erosion and sediment using watershed erosion response model (WERM) and morphometric analysis (case study: Rozechai watershed, west Azerbaijan province). Journal of Watershed Management Research, 8(16): 142-156 (In Persian).
15. Ou, G. and T. Mizuyama. 1994. Predicting the average sediment concentration of debris flows. J. Jpn Erosion Control Eng Soc, 47(4): 9-13.
16. Rickenmann, D. and A. Koschni. 2010. Sediment loads due to fluvial transport and debris flows during the 2005 flood events in Switzerland. Hydrological Processes, 24(8): 993-1007. [DOI:10.1002/hyp.7536]
17. Rickenmann, D. 1991. Hyperconcentrated flow and sediment transport at steep slopes. Journal of Hydraulic Engineering, 117(11): 1419-1439. [DOI:10.1061/(ASCE)0733-9429(1991)117:11(1419)]
18. Singh, V.P. and H. Cui. 2015. Modeling sediment concentration in debris flow by Tsallis entropy. Physica A: Statistical Mechanics and its Applications, 420: 49-58. [DOI:10.1016/j.physa.2014.10.075]
19. Takahashi, T. 2007. Debris flow Mechanics, Prediction and Countermeasures. 2nd edn, Taylor and Francis, Singapore, London, 572 pp. [DOI:10.1201/9780203946282]
20. Takei, A. 1984. Interdependence of sediment budget between individual torrents and a river-system. In International Symposium Interpraevent, 35-48 pp, Villach, Austria.
21. Wu, J., Z. Wang, L. Tian and S. Zhang. 1990. Observation and research of debris flow in Jiangjiagou Ravine, Yunnan Province. Science Pressing, Beijing, 67-145.
22. Zhuang, J., P. Cui, G. Wang, X. Chen, J. Iqbal and X. Guo. 2015. Rainfall thresholds for the occurrence of debris flows in the Jiangjia Gully, Yunnan Province, China. Engineering Geology, 195: 335-346. [DOI:10.1016/j.enggeo.2015.06.006]

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