Impact of earthquake-induced-landslides on hydrologic response of a steep mountainous catchment: a case study of the Wenchuan earthquake zone

Earthquake-induced-landslides will change the underlying surface conditions (topography, vegetation cover rate, etc.), which consequently may influence the hydrologic response and then change the flash flood risk. The Jianpinggou catchment, located in the Wenchuan earthquake (occurred in Sichuan, China, 2008) affected area, is selected as the study area. The distribution of the landslides is obtained from the remote sensing image data. The changes of topography are obtained from the comparisons among digital elevation models (DEMs) during different periods. A physical-based model, the integrated hydrology model (InHM), is used to simulate the hydrologic response before and after the landslide. The influence of the underlying surface conditions is then discussed based on the simulation results. The results reveal that landslides cause significant effects on the hydrologic response, and the impact is proportional to the proportion of surface flow in the total runoff. The effect of landslides on the runoff is insignificant at the outlet, but obvious in the local area. The larger the rainfall, the more visible the impact, and the impact of landslides will increase rapidly at the threshold of the runoff (the total rainfall of 235 mm in 6 h in the study area), but there is a limit with the further enlarged rainfall. The improved understanding of the impact of landslides on the hydrologic response provides valuable theoretical support for storm flood forecasting.摘要目的明确汶川地震所引发的滑坡对震区小流域水文响应过程的影响, 推进震区洪水过程的准确预报。创新评估汶川地震对碱坪沟流域的下垫面条件的破坏, 并在此基础上利用先进的分布式水文模型定量评估地震事件对小流域产汇流过程的影响。方法1. 选取四川省龙溪河地区的碱坪沟小流域作为研究区域, 利用遥感影像数据以及数字高程数据获得滑坡区的分布以及高程变化情况; 2. 运用基于物理概念的综合水文模型 (InHM) 对该流域水文过程进行模拟精度验证; 3. 对滑坡发生前后的降雨产流过程分别进行数值模拟, 探讨在同样降雨条件下, 由于滑坡所引起的下垫面特性变化对产流过程的影响。结论1. 震后滑坡灾害所带来的下垫面变化导致了流域内的山洪特性变化, 且在流域内局部地区的表现更为明显, 局部山洪危害增加; 2. 与震前相比, 随着暴雨规模的增强, 震后下垫面变化所致的流量峰值增量也随之增加, 峰值的增加比例在 6 小时雨量达到 235 mm 时急剧增大, 但降雨持续增强后趋近于稳定值 (约 87%)。

[1]  J. Vanderkwaak Numerical simulation of flow and chemical transport in integrated surface-subsurface hydrologic systems , 1999 .

[2]  Peng Qun-sheng,et al.  Physically based modeling and animation of tornado , 2006 .

[3]  K. Loague,et al.  Characterizing long-term hydrologic-response and sediment-transport for the R-5 catchment. , 2008, Journal of environmental quality.

[4]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[5]  Benjamin B. Mirus,et al.  Assessing the detail needed to capture rainfall‐runoff dynamics with physics‐based hydrologic response simulation , 2011 .

[6]  Zhou Xiao-jun Characteristics and Countermeasures of Debris Flow in Wenchuan Area After the Earthquake , 2010 .

[7]  Vijay P. Singh,et al.  Effect of Microtopography, Slope Length and Gradient, and Vegetative Cover on Overland Flow Through Simulation , 2004 .

[8]  K. Loague,et al.  Hydrologic‐response‐driven sediment transport at a regional scale, process‐based simulation , 2012 .

[9]  Jinn-Chyi Chen Variability of impact of earthquake on debris-flow triggering conditions: case study of Chen-Yu-Lan watershed, Taiwan , 2011 .

[10]  Keith Loague,et al.  Further testing of the Integrated Hydrology Model (InHM): event‐based simulations for a small rangeland catchment located near Chickasha, Oklahoma , 2005 .

[11]  T. Dunne,et al.  Sediment detachment by rain power , 2003 .

[12]  Mauro Sulis,et al.  Impact of grid resolution on the integrated and distributed response of a coupled surface–subsurface hydrological model for the des Anglais catchment, Quebec , 2011 .

[13]  David R. Montgomery,et al.  Physics‐based continuous simulation of long‐term near‐surface hydrologic response for the Coos Bay experimental catchment , 2007 .

[14]  K. Loague,et al.  Hydrologic‐Response simulations for the R‐5 catchment with a comprehensive physics‐based model , 2001 .

[15]  K. Loague,et al.  Using simulated hydrologic response to revisit the 1973 Lerida Court landslide , 2010 .

[16]  K. Loague,et al.  Simulating hydrological response for the R‐5 catchment: comparison of two models and the impact of the roads , 2002 .

[17]  Qihua Ran,et al.  Further testing of the integrated hydrology model (InHM): multiple‐species sediment transport , 2007 .

[18]  Qihua Ran,et al.  Adding sediment transport to the integrated hydrology model (InHM): Development and testing , 2006 .

[19]  D. Montgomery,et al.  Digital elevation model grid size, landscape representation, and hydrologic simulations , 1994 .

[20]  Stephen J. Burges,et al.  A hypothetical reality of Tarrawarra‐like hydrologic response , 2009 .

[21]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[22]  C. Tucci,et al.  Predicting floods from urban development scenarios: case study of the Dilúvio Basin, Porto Alegre, Brazil , 2001 .

[23]  L. Li Forming Mechanism and Characteristics of Debris Flow Happened on August 13,2010 in Jianping Gully , 2011 .

[24]  K. Loague,et al.  How runoff begins (and ends): Characterizing hydrologic response at the catchment scale , 2013 .

[25]  Yue‐Ping Xu,et al.  Canonical correlation analysis of hydrological response and soil erosion under moving rainfall , 2013 .

[26]  Yu-Pin Lin,et al.  Effects of land cover changes induced by large physical disturbances on hydrological responses in Central Taiwan , 2010, Environmental monitoring and assessment.

[27]  Ronaldo I. Borja,et al.  The impacts of hysteresis on variably saturated hydrologic response and slope failure , 2010 .

[28]  T. Dunne,et al.  Effects of Rainfall, Vegetation, and Microtopography on Infiltration and Runoff , 1991 .

[29]  M. Sivapalan,et al.  Understanding changes in annual runoff following land use changes: a systematic data‐based approach , 2005 .