Landslide and debris flow initiated characteristics after typhoon Morakot in Taiwan

Typhoon Morakot brought extreme rainfall and initiated numerous landslides and debris flows in southern Taiwan in August of 2009. The purpose of this study is to identify the extreme rainfall-induced landslide frequency-area distribution in the Laonong River Basin in southern Taiwan and debris flow-initiated conditions under rainfall. Results of the analysis show that debris flows were initiated under high cumulative rainfall and long rainfall duration or high rainfall intensity. The relationship of mean rainfall intensity and duration threshold could reflect debris flow initiation characteristics under high rainfall intensity in short rainfall duration conditions. The relationship of cumulative rainfall and duration threshold could reflect debris flow initiation characteristics under high cumulative rainfall in long rainfall duration. Defining rainfall events by estimating rainfall parameters with different methodologies could reveal variations among intermittent rainfall events for the benefit of issuing debris flow warnings. The exponent of landslide frequency-area distribution induced by Typhoon Morakot is lower than that induced by the Chi-Chi earthquake. The lower exponent of landslide frequency-area distribution can be attributed to the transportation and deposition areas of debris flow that are included in the landslide area. Climate change induced high rainfall intensity and long duration of precipitation, for example, Typhoon Morakot brought increased frequency of debris flow and created difficulty in issuing warnings from rainfall monitoring.     

温州群发性坡面泥石流临界雨量研究

温州地处浙江东南沿海,降雨充沛。台风等极端气候灾害引起的强降雨次数繁多,并可能引发地区周边泥石流等地质灾害。收集相关地区、时段的气象、水文资料,并对研究区降雨数据进行处理,在野外实地调查、遥感解译的基础上,根据研究区地质灾害调查结果,总结群发性坡面泥石流特征,分析其形成的地质环境条件。针对致灾因子降雨量与温州地区群发性泥石流灾害的因果关系,获取坡面泥石流发生周期内的各时段降雨量,并利用相关性分析确定最大1h、3h雨强为研究变量,在二维坐标平面上投影近百个案例点,拟合得出临界雨量方程,并根据泥石流发生与否划分区域计算超越概率和误报概率,得出温州地区泥石流爆发前期雨强满足"两倍关系"的经验结论,寻求解决温州地区实际泥石流地质灾害预警问题的可行性。     

Debris flow-slide initiation mechanisms in fill slopes,Wellington, New Zealand

Landslides - Although catastrophic debris flow-slides from anthropogenic fill slopes are common, their failure mechanisms during both earthquakes and extreme rainfall events remains under-studied....     

A multidisciplinary investigation of deep-seated landslide reactivation triggered by an extreme rainfall event: a case study of the Monesi di Mendatica landslide,Ligurian Alps

Landslides - In November 2016, an extreme rainfall event affected the Ligurian Alps (NW Italy). Consequently, several landslides and debris flows occurred in the upper Tanarello stream basin. In...     

兰州市寺儿沟泥石流物源特征及其危险性分析

寺儿沟流域位于甘肃省兰州市西固区,历史上曾发生过大规模泥石流,造成重大人员伤亡和财产损失。文章基于野外调查和遥感解译,结合已有文献成果和室内测试,研究寺儿沟泥石流物源特征及影响因素,采用FLO-2D软件模拟分析泥石流的危险性。研究结果表明：寺儿沟以黏性泥石流为主,表现为低频活动,目前处于衰退期;寺儿沟流域内物源丰富,可分为坡面型物源、崩滑型物源、沟道型物源和人为型物源共4种,其中崩滑型、沟道型物源控制了泥石流的暴发规模;而一次性冲出量的大小主要取决于泥石流起动时崩滑体的发育程度,崩滑体越发育,一次性冲出量越大,泥石流规模越大;在临界降雨条件下,寺儿沟将会暴发泥石流,中—高危险区集中于流通区,严重威胁冲沟内构筑物如兰西高铁、环城高速等安全运营。当遭遇极端强降雨时,寺儿沟将暴发更大规模泥石流。因此,有必要进一步研究极端天气条件下泥石流的危险性,为区内泥石流的防灾减灾提供地质依据。     

四川都江堰三溪村710高位山体滑坡研究

2013年7月10日上午10时,四川都江堰市中兴镇三溪村受极端暴雨影响发生高位山体滑坡灾害,滑坡-碎屑堆积体方量超过150104m3,其中1#滑坡-碎屑堆积体长度1.26km,造成三溪村一组重大人员伤亡。笔者在野外实地调查和室内研究分析的基础上,总结了都江堰三溪村滑坡的基本特征,研究了其启动运动机制和滑动速度,主要认识如下:（1）该滑坡为一处高位山体滑坡,后缘白垩系砂砾岩地层高速滑动后剧烈撞击-铲刮-偏转后铲动坡体上的松散堆积层而形成高位山体滑坡-碎屑流灾害。（2）根据滑坡的运动及堆积特征,将1#滑坡划分为砂砾岩滑动区、碰撞铲刮区和碎屑流堆积覆盖区3部分。（3）7月8日8时至10日8时,中兴镇三溪村的持续强降雨天气过程（都江堰市3d的降雨量相当于该地区年降雨总量的44.1%）,直接触发了滑坡的发生。（4）三溪村滑坡的发生受2008年汶川地震、特殊的岩土体性质、地形地貌条件以及极端暴雨事件的综合影响,地震、地形为其发育提供了基础条件,极端暴雨事件为其直接诱发因素。（5）建议加强高位山体滑坡的研究,尤其是远程滑坡-碎屑流的早期识别和预警。     

2010年“8.8”舟曲特大山洪泥石流灾害形成的气候特征及地质地理环境分析

利用舟曲气象和地质资料,分析了2010年8月8日发生的"8.8"舟曲特大山洪泥石流灾害形成的气候特征和地质地理环境.这次泥石流是在舟曲特殊的地质地貌和地理环境下,由于前期干旱,突遇强降水而发生的一次特大地质灾害.崩塌、滑坡、地震和人为因素,特别是"5.12"汶川地震,较大程度上破坏了舟曲地质,为泥石流提供了丰富的物质来源;前期干旱在一定程度上加剧了这次灾害;超历史极值的强降水是触发泥石流的直接因素.通过对舟曲气候研究表明,7、8月降雨频繁,而且过程雨量大,尤其8月上旬大雨发生频率最高,应密切关注可能引发的地质灾害.加强对地质地貌的保护,研究历史气候及月季气候特征对泥石流发生的影响,确定在不同地形和地质地貌背景下的泥石流降水量阈值,对泥石流灾害发生的预报有着十分重要的意义.     

Analysis of rainfall preceding debris flows on the Smědavská hora Mt., Jizerské hory Mts., Czech Republic

In August 2010, extreme rainfall affected the north of the Czech Republic and caused regional floods and landslides. Three torrential debris flows originated in the Jizerské hory Mts., close to Bílý Potok on the north slope of the Smědavská hora Mt. The rainfall situation which triggered the debris flow was analyzed and compared with the rainfall situation in 1958 when a debris flow occurred in the same area. The rainfall data were obtained from rain gauges of the Czech Hydrometeorological Institute. Four rain gauges were chosen close to the Smědavská hora Mt. with data of daily amounts from 1983 to 2013 and 10-min intensity or hourly amounts from the specific period. The data from 1958 were available from three different rain gauges (only daily amounts). The data series were not complete so linear regression was applied to interpolate them. A number of analyses were carried out including daily rainfall, 2-day/3-day moving values, antecedent precipitation index (API) of 5/10/30 days, 10-min intensity, and hourly amounts, and the trigger factor of the debris flow in the study area was also investigated. It was determined that for the triggering of debris flows, both high API values as well as high-intensity short-duration rainfall is needed. It was documented that in cases of solely high API indices or high-intensity short-duration rainfalls, no debris flows were initiated.     

极端冰雪灾害条件下松散堆积体边坡演化分析

针对2008年初南方罕见的极端冰雪气候,为研究其与地质灾害的相关性,探讨了极端冰雪灾害条件下均质松散堆积体边坡的演化特征。比较了融雪与降雨触发滑坡的异同点,通过具体事例分析了融雪触发滑坡灾害的一般规律。引入度日因子与雪雨当量两个物理量,根据南方极端冰雪气候特征建立了简化的有效融雪模型,并从渗流场、稳定性及变形3个方面模拟计算在不同雨雪当量下均质松散堆积体坡体的演化特征。结果表明,一定的融雪速率与融雪量对松散堆积体边坡渗流场无影响。随着融雪的持续,非饱和区基质吸力逐渐减小,坡体整体稳定性逐渐降低。坡面上水平位移与竖向位移逐渐增大,表现为水平方向上前缘变形大于后缘,竖直方向上后缘下错与前缘隆起。在融雪持续一段时间后,坡体失稳破坏。     

Rainfall-triggering response patterns of post-seismic debris flows in the Wenchuan earthquake area

Several giant debris flows occurred in southwestern China after the Wenchuan earthquake, causing serious casualties and economic losses. Debris flows were frequently triggered after the earthquake. A relatively accurate prediction of these post-seismic debris flows can help to reduce the consequent damages. Existing debris flow prediction is almost based on the study of the relationship between post-earthquake debris flows and rainfall. The relationship between the occurrence of post-seismic debris flows and characteristic rainfall patterns was studied in this paper. Fourteen rainfall events related to debris flows that occurred in four watersheds in the Wenchuan earthquake area were collected. By analyzing the rainfall data, characteristics of rainfall events that triggered debris flows after the earthquake were obtained. Both the critical maximum rainfall intensity and average rainfall intensity increased with the time. To describe the critical conditions for debris flow initiation, intensity–duration curves were constructed, which shows how the threshold for triggering debris flows increased each year. The time that the critical rainfall intensities of debris flow occurrences return to the value prior to the earthquake could not be estimated due to the absent rainfall data before the earthquake. Rainfall-triggering response patterns could be distinguished for rainfall-induced debris flows. The critical rainfall patterns related to debris flows could be divided on the basis of antecedent rainfall duration and intensity into three categories: (1) a rapid triggering response pattern, (2) an intermediate triggering response pattern, and (3) a slow triggering response pattern. The triggering response patterns are closely related to the initiation mechanisms of post-earthquake debris flows. The main difference in initiation mechanisms and difference in triggering patterns by rainfall is regulated by the infiltration process and determined by a number of parameters, such as hydro-mechanical soil characteristics, the thickness of the soil, and the slope gradient. In case of a rapid triggering response rainfall pattern, the hydraulic conductivity and initial moisture content are the main impact factors. Runoff erosion and rapid loading of solid material is the dominant process. In case of a rainfall pattern with a slow triggering response, the thickness and strength of the soil, high hydraulic conductivity, and rainfall intensity are the impact factors. Probably slope failure is the most dominant process initiating debris flows. In case of an intermediate triggering response pattern, both debris flow initiation mechanisms (runoff erosion and slope failure) can play a role.     

A method to develop the input parameter database for site-specific debris flow hazard prediction under extreme rainfall

The predictive hazard analysis at a detailed scale for debris flow runout analysis can be improved significantly through reliable estimation of the input parameters. In this study, a method for database establishment of input parameters at a site-specific scale was laid out for the predictive-based debris flow hazard assessment under extreme rainfall. The adoption of the DAN-3D code necessitated the estimation of three main input parameters: initial volume, bulk basal frictional angle, and growth rate. The initial volume was assessed using a 3D coupled finite element seepage and limit equilibrium-based slope stability analysis. An artificial neural network-based model was developed using 27 debris flow events for predicting the basal bulk frictional angle and consisted of eight factors: plan curvature, profile curvature, percentage of fine content, D₅₀, initial unit weight, initial volume, relative relief ratio, and channel length. Finally, the growth rate was estimated using the previously assessed initial volume, soil depth, and the approximate runout length. The proposed method was validated by application to the Raemian slope in the Woomyeon mountain region, Seoul, for the extreme rainfall event of 27 July 2011. The analysis yielded a final volume of 53,067.9 m³, a velocity upon arrival on the road of 26.81 m/s, and an approximately 0.5-m debris thickness concentrated near the Raemian apartments. The comparison of the predicted debris flow path and debris flow velocity with the actual event demonstrates good similarity and provides a conservative estimate of the volume. This study therefore illustrates the importance of an input parameter database in providing a reliable debris flow runout hazard assessment.     

汶川震区暴雨泥石流激发雨型特征

汶川地震后暴雨诱发的泥石流不断增加,通过收集整理降雨资料,分析汶川震区不同地域泥石流暴发的激发雨强及前期有效累计降雨量变化过程,揭示震区暴雨泥石流的激发雨型特征,为暴雨泥石流的预报提供科学依据。研究结果表明,汶川震区的暴雨泥石流激发雨型可分为短期突然降雨型、中期持续降雨型和长期间断降雨型3种类型,主要表现为引发泥石流的激发雨强及前期有效累计降雨量的不同。暴雨泥石流的形成机制体现为降雨导致流域内松散土体渗透、饱和及侵蚀移动的过程。激发雨型与激发雨强及前期有效累计降雨量存在相关关系,短期突然降雨型的激发雨强最大,前期有效累计降雨量最少;中期持续降雨型的激发雨强居中,前期有效累计降雨量最多;长期间断降雨型的激发雨强最小,前期有效累计降雨量居中。对四川茂县叠溪镇新磨村突发山体高位垮塌碎屑流进行验证,初步判定是由长期间断降雨型引发岩体抗剪强度降低而引起的。对不同激发雨型特征的研究能够为汶川震区泥石流监测预警提供科学依据。     

甘肃天水地区渭河南岸大砂沟泥石流发育特征

以天水地区渭河南岸大砂沟泥石流沟为研究对象,通过野外地质调查以及历史资料的统计,初步了解该泥石流的形成条件、松散物源的补给条件、活动历史;详细研究了该泥石流的运动特征,并提出了相应的治理措施。结果表明:该泥石流沟上游三面不稳定斜坡体上的堆积物和大砂沟沟道内的松散堆积物为该泥石流的主要物源;通过统计分析,在极端降雨天气条件下计算得到洪峰流量为355. 26 m3/s。该泥石流沟仍存在暴发大规模泥石流的可能性,一旦泥石流发生,将对下游甘谷县城居民的生命财产安全造成严重的威胁。研究成果可为天水地区泥石流的防灾减灾提供科学依据。     

浙东南山丘区泥石流爆发的临界雨量分析

首先对浙东南山区泥石流的形成条件（物源、地形和降水条件）进行了研究。随后研究了本区泥石流的基本特征：在形成方式上,以谷坡或沟源地带的土动力启动方式为主;在侵蚀特征方面,主要有面蚀作用和沟谷侵蚀作用;堆积特征方面,在宏观上当规模较大时可形成堆积扇,规模较小时往往以停积于中下游沟道为主;微观上,主要表现为堆积物质结构杂乱,个别具有期次性。对本区泥石流临界雨量组合进行分析,认为采用基于区域临界雨量组合的泥石流预警预报方法较为合理。利用研究区内4次群发泥石流时的降雨特征值确定了本区泥石流爆发的临界雨量组合,并将其应用于研究区泥石流的临灾预警,分为以下步骤：①收集实时降雨资料;②绘制实时雨量组合曲线;③泥石流灾害预警;④泥石流临界雨量基准的修正。     

Debris flows of 28 June 2014 near the Arshan village (Siberia,Republic of Buryatia,Russia)

On 28 June 2014, high intensity rainfall resulted in seven simultaneous debris flows going down the slopes of the Tunka Ridge in the vicinity of Arshan village, which is a balneological and alpine resort (51° 54′ 31″ N, 102° 25′ 44″ E). The debris flows caused one life loss and several injuries, 112 buildings were damaged, and 15 were completely destroyed. The total volume of the transported deposits amounted to 3?×?10⁶ m³. Debris flows’ formation began with the failure of weak sediments in the hanging cirques. Similar phenomena had not been recorded in the study area for over 40 years. The article presents a complete picture of the event and analysis of geological, geomorphological, and meteorological conditions for debris flows formation, for which extreme local rainfall was the major cause.     

Rainfall thresholds for debris flow initiation in the Wenchuan earthquake-stricken area,southwestern China

The Wenchuan earthquake-stricken area is frequently hit by heavy rainfall, which often triggers sediment-related disasters, such as shallow landslides, debris flows, and related natural events, sometimes causing tremendous damage to lives, property, infrastructure, and environment. The assessment of the rainfall thresholds for debris flow occurrence is very important in order to improve forecasting and for risk management. In the context of the Wenchuan earthquake-stricken area, however, the rainfall thresholds for triggering debris flows are not well understood. With the aim of defining the critical rainfall thresholds for this area, a detailed analysis of the main rainstorm events was carried out. This paper presents 11 rainfall events that induced debris flows which occurred between 2008 and 2012 after the Wenchuan earthquake. The rainfall thresholds were defined in terms of mean rainfall intensity I, rainfall duration D, and normalized using the mean annual precipitation (MAP). An ID threshold and a normalized I _MAP D threshold graph could be set up for the Wenchuan earthquake-stricken area which forms the lower boundary of the domain with debris flow-triggering rainfall events. The rainfall threshold curves obtained for the study area were compared with the local, regional, and global curves proposed by various authors. The results suggest that debris flow initiation in the study area almost requires a higher amount of rainfall and greater intensity than elsewhere. The comparison of rainfall intensity prior to and after the earthquake clearly indicates that the critical rainfall intensity necessary to trigger debris flows decreased after the earthquake. Rainfall thresholds presented in this paper are generalized, so that they can be used in debris flow warning systems in areas with the same geology as the Wenchuan earthquake-stricken area.     

Rainfall characteristics and thresholds for periglacial debris flows in the Parlung Zangbo Basin,southeast Tibetan Plateau

The Parlung Zangbo Basin in the southeastern Tibet Plateau is affected by the summer monsoon from the Indian Ocean, which produces large rainfall gradients in the basin. Rainfall data during 2012–2015 from five new meteorological stations are used to analyse the rainfall characteristics. The daily rainfall, rainfall duration, mean rainfall intensity, and peak rainfall intensity are consistent, but sometimes contrasting. For example, these values decrease with increasing altitude, and the gradient is large downstream and small upstream, respectively. Moreover, the rainfall intensity peaks between 01:00 and 06:00 and increases during the afternoon. Based on the analysis of 14 debris flow cases in the basin, differences in the rainfall threshold differ depending on the location as sediment varieties. The sediment in the middle portions of the basin is wet and well structured; thus, long-duration, high-intensity rainfall is required to generate debris flows. Ravels in the upstream area are arid and not well structured, and short-duration rainfall is required to trigger debris flows. Between the above two locations, either long-duration, low-intensity rainfall or short-duration, high-intensity rainfall could provoke debris flows. Clearly, differences in rainfall characteristics and rainfall thresholds that are associated with the location must be considered in debris flow monitoring and warnings.     

汶川震区暴雨泥石流发生的降雨阈值

搜集了汶川震区暴雨泥石流发生的降雨数据,采用詹氏法和修正法两种雨场分割法对其进行处理,研究了降雨参数（降雨强度、累积雨量和降雨历时）与泥石流发生之间的关系,建立了汶川震区暴雨泥石流发生的降雨阈值模型。结果表明:采用詹氏法和修正法这两种雨场分割方法所获得的降雨参数之间存在差异。两者的累积雨量差异不大,但后者的平均雨强要小于前者,其原因在于修正法改善了詹氏法估计降雨时间过短的缺点,延长了降雨历时。通过分析平均雨强~历时、累积雨量~历时、标准化平均雨强~历时和标准化累积雨量~历时之间的关系,采用单线法建立了汶川震区暴雨泥石流发生的降雨阈值。研究成果在四川省绵竹市清平乡的泥石流灾害事件中进行了应用与验证,结果表明该方法具有合理性和可行性。     

基于数值模拟的耳阳河流域泥石流灾害危险性评价

洮河流域中游位于甘肃省南部,属泥石流高发区。耳阳河是洮河流域中游的一条重要支流,泥石流灾害尤其严重。为研究甘肃省南部小流域泥石流灾害的危险性,以耳阳河流域为研究对象,选取流域内居民相对集中的6条泥石流沟,用FLO-2D模型模拟了2012年5月10日实际降雨条件下的泥石流运动特征和堆积特征,得到了泥石流流量随时间的变化曲线、泥石流流体深度和流速在沟谷不同地段的空间分布,对“5·10”泥石流灾害过程进行了重现。模拟结果表明:泥石流爆发15～30 min后达到洪峰,约3 h后流量逐步回落;泥石流流动速度在流通区快,到沟口迅速下降,固体物质淤积阻塞河道。通过野外现场调查和遥感解译,发现模拟得到的泥石流发生过程、堆积区分布、泥石流影响区与现场调查和访问得到的实际情况基本相符。进而,采用相同的方法和参数,对2.0%和0.2%降水频率下泥石流的堆积范围、深度和流速进行了模拟分析,分别制作了上述工况下的泥石流危险性分区图,圈定了潜在威胁较大的人口聚集区,为耳阳河流域泥石流灾害的预防和治理提供了依据,也为类似泥石流提供了一种危险性分析的技术方法。     

On the landslide event in 2010 in the Monarch Butterfly Biosphere Reserve, Angangueo, Michoacán, Mexico

In February 2010, 19 fatalities and economic damage were caused by a regional landslide episode in the state of Michoacán, México. The municipalities of Angangueo, Ocampo, Tiquicheo de Nicolás Romero, Tuxpan, and Tuzantla were severely damaged, with Angangueo being the most affected. The event involved a series of debris flows, of which four were the most significant; these four caused 16 deaths in addition to considerable damage to roads, electricity, and the water supply system, with indirect consequences in crop production, cattle farming, and tourism. The area affected by these four flows was calculated as 282?km², with an estimated 697,346?m³ of mobilized material. General observations indicated that the initiation sources of the debris flows were on deforested zones. The present research is concentrated on the Angangueo basin, an area situated within the Monarch Butterfly Biosphere Reserve. Given the lack of rain gauges in the area of interest, records from neighboring points were used to build a comprehensive overview of the extreme precipitation event that triggered the devastating debris flows. The nearest rain gauge, Laguna del Fresno, situated 21?km to the south, recorded 204?mm of rainfall from 1 to 5 February, equivalent to 30% of the mean annual rainfall. Moreover, during a 24-h period the El Bosque rain gauge recorded 144.5?mm of precipitation, the equivalent of 2,270% of the mean rainfall for the same month (6.36?mm). The occurrence of a hailstorm preceding the rainfall event is notable; conditions in the superficial soil layer would have included an increased pore water pressure. Presumably, before the 2,000-year return period extreme rainfall event, thawing of hail and consequent moisture and/or pore-pressure increase result in decreased frictional strength. This paper presents a spatial analysis of the distribution of these landslides, mainly debris flows, as well as general observations on the triggering mechanism, the strength properties of the materials involved, and the societal impact.