Identification of potential sites of debris flows in the upper Min River drainage, following environmental changes caused by the Wenchuan earthquake

Liu, Jinfeng; You, Yong; Chen, Xingchang; Fan, Jun

doi:10.1007/s11629-010-2017-z

Cited by 17 publications

(8 citation statements)

References 7 publications

(5 reference statements)

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“…In the main area affected by the Wenchuan earthquake on May 12, 2008 (Ms8.0), a large number of unstable slopes and landslides were triggered, which resulted in abundant unconsolidated materials. Thus debris flows have evolved into a very active period which will last for a rather long time (Hu et al 2010, Liu et al 2010. The magnitude and frequency of debris-flow has increased, to the extent that it has become a major hazard in the area (Cui et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Prediction of debris-flow danger area by combining hydrological and inundation simulation methods

Cui

Zhuang

et al. 2011

J. Mt. Sci.

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Debris flows have caused serious human casualties and economic losses in the regions strongly affected by the Ms8.0 Wenchuan earthquake of 2008. Debris flow mitigation and risk assessment is a key issue for reconstruction. The existing methods of inundation simulation are based on historical disasters and have no power of prediction. The rainflood method can not yield detailed flow hydrograph and does not meet the need of inundation simulation. In this paper, the process of water flow was studied by using the Arc-SCS model combined with hydraulic method, and then the debris flow runoff process was calculated using the empirical formula combining the result from Arc-SCS. The peak discharge and runoff duration served as input of inundation simulation. Then, the dangerous area is predicted using kinematic wave method and Manning equation. Taking the debris flow in Huashiban gully in Beichuan County, Sichuan Province, China on 24 Sep. 2008 as example, the peak discharge of water flow and debris flow were calculated as 35.52 m 3 ·s -1 and 215.66 m 3 ·s -, with error of 4.15% compared to the measured values. The simulated area of debris-flow deposition was 161,500 m 2 , vs. the measured area of 144,097 m 2 , in error of 81.75%. The simulated maximum depth was 12.3 m, consistent with the real maximum depth between 10 and 15 m according to the field survey. The minor error is mainly due to the flow impact on buildings and variations in cross-section configuration. The present methodology can be applied to predict debris flow magnitude and evaluate its risk in other watersheds inthe earthquake area.

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Section: Introductionmentioning

confidence: 99%

Prediction of debris-flow danger area by combining hydrological and inundation simulation methods

Cui

Zhuang

et al. 2011

J. Mt. Sci.

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“…Mountain hazards such as debris flows are closely related to rainfall duration, rainfall amount and rainfall pattern (Liu et al, 2009). Rainfall patterns affect not only the formation of surface runoff but also the formation and development of debris flows.…”

Section: Rainfall Pattern and The Spatial-temporal Distribution Charamentioning

confidence: 99%

“…It has been reported in over 70 countries and often causes severe economic losses and human casualties, seriously retarding social and economic development (Imaizumi et al, 2006;Tecca and Genevois, 2009;Dahal et al, 2009;Liu et al, 2010;Cui et al, 2011;McCoy et al, 2012;Degetto et al, 2015;Tiranti and Deangeli, 2015;Hu et al, 2016). Rainfall is one of the main triggering factors of debris flows and is the most active factor when debris flows occur, which also determines the temporal and spatial distribution characteristics of the hazards.…”

Section: Introductionmentioning

confidence: 99%

Rainfall threshold calculation for debris flow early warning in areas with scarcity of data

Pan

Jiang

Wang

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Debris flows are natural disasters that frequently occur in mountainous areas, usually accompanied by serious loss of lives and properties. One of the most commonly used approaches to mitigate the risk associated with debris flows is the implementation of early warning systems based on well-calibrated rainfall thresholds. However, many mountainous areas have little data regarding rainfall and hazards, especially in debris-flow-forming regions. Therefore, the traditional statistical analysis method that determines the empirical relationship between rainstorms and debris flow events cannot be effectively used to calculate reliable rainfall thresholds in these areas. After the severe Wenchuan earthquake, there were plenty of deposits deposited in the gullies, which resulted in several debris flow events. The triggering rainfall threshold has decreased obviously. To get a reliable and accurate rainfall threshold and improve the accuracy of debris flow early warning, this paper developed a quantitative method, which is suitable for debris flow triggering mechanisms in meizoseismal areas, to identify rainfall threshold for debris flow early warning in areas with a scarcity of data based on the initiation mechanism of hydraulic-driven debris flow. First, we studied the characteristics of the study area, including meteorology, hydrology, topography and physical characteristics of the loose solid materials. Then, the rainfall threshold was calculated by the initiation mechanism of the hydraulic debris flow. The comparison with other models and with alternate configurations demonstrates that the proposed rainfall threshold curve is a function of the antecedent precipitation index (API) and 1 h rainfall. To test the proposed method, we selected the Guojuanyan gully, a typical debris flow valley that during the 2008-2013 period experienced several debris flow events, located in the meizoseismal areas of the Wenchuan earthquake, as a case study. The comparison with other threshold models and configurations shows that the selected approach is the most promising starting point for further studies on debris flow early warning systems in areas with a scarcity of data.

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“…Precipitation over the year is unevenly distributed, concentrated mainly in the period May to September (Figure 2), which accounts for 79% of the annual rainfall. This period usually has a large number of collapses, landslides, debris flows, and other geological disasters (Liu et al 2010). In short, the water source condition is favorable to the formation of debris flows in the Lianshan Bridge Gully.…”

Section: Rainfallmentioning

confidence: 99%

Case Study of the Characteristics and Dynamic Process of July 10, 2013, Catastrophic Debris Flows in Wenchuan County, China

Hu¹,

Chen²,

Tanoli³

et al. 2016

Earth sci. res. j.

Self Cite

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The Wenchuan earthquake of May 12, 2008, generated a significant amount of loose solid material that can produce devastating debris flows. In the five years since the earthquake, there have been many large-scale individual and group catastrophic debris flows that have caused lots of damage to the resettled population and the reconstruction efforts. The reconstructed towns of Yingxiu, Yinxing and Miansi have suffered debris flows and other secondary disasters in the past five years and are still not out of danger in the future. A debris-flow catastrophic event hit four towns of Wenchuan County along the Duwen Highway, part of China's National Highway 213, at midnight on July 10, 2013, following a local extreme rainfall of 176.2mm 24h-1. The debris flows occurred simultaneously along seven gullies. A total of 15000 people were affected due to the destruction of resettlement areas, factories, power stations, and houses. Because of this devastating event, traffic along the Duwen highway was completely disrupted during the disaster and recovery period. The present study focuses on the Lianshan Bridge debris flow gully; the disaster characteristics and cause of the debris flow were analyzed based on field investigations, remote sensing interpretation, and laboratory experiments. The particular dynamic parameters of the debris flow were calculated and analyzed including density, velocity, discharge, total volume and impact force. Also, the dynamic processes and changes that occurred in the debris flow were examined, and the block and burst characteristics of debris flow were studied based on statistical calculation and analysis dynamic characteristic parameters of debris flow. Finally, a program to prevent further debris flow was proposed according to the on-site investigation and based on the analysis of the features and dynamic processes of the debris flow.El terremoto de Wenchuan, el 12 de mayo de 2008, generó una gran cantidad de material sólido suelto que puede producir flujos de detritos devastadores. En los años posteriores al terremoto han ocurrido deslizamientos a gran escala individuales y simultáneos que han causado daño a los habitantes reubicados y a los esfuerzos de reconstrucción. Las ciudades reconstruidas de Yingxiu, Yinxing y Miansi han sufrido flujos de detritos y otros desastres secundarios desde el terremoto, y no están exentas de eventos futuros. Un evento simultáneo de flujo de detritos afectó a cuatro localidades del condado de Wenchuan, a lo largo de la autopista de Duwen, parte de la carretera nacional 213, en la medianoche del 10 de julio de 2013, después de una lluvia extrema de 176,2 mm 24h-1. Los movimientos de detritos ocurrieron en siete pendientes. Un total de 1500 personas resultaron afectadas debido a la destrucción en áreas de reasentamiento, fábricas, estaciones eléctricas y viviendas. Debido a este devastador hecho, el tráfico de la autopista Duwen estuvo interrumpido durante el período del desastre y mientras se recuperaba la zona. Este estudio se enfoca en el deslizamiento del Pu...

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Identification of potential sites of debris flows in the upper Min River drainage, following environmental changes caused by the Wenchuan earthquake

Cited by 17 publications

References 7 publications

Prediction of debris-flow danger area by combining hydrological and inundation simulation methods

Prediction of debris-flow danger area by combining hydrological and inundation simulation methods

Rainfall threshold calculation for debris flow early warning in areas with scarcity of data

Case Study of the Characteristics and Dynamic Process of July 10, 2013, Catastrophic Debris Flows in Wenchuan County, China

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