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1.
贵州省望谟县2011年6月6日暴发了特大山洪泥石流,其中暴雨中心所在的打易镇多处暴发泥石流。短历时强降雨激发了沟床起动类型的泥石流。本文通过对贵州望谟河流域群发泥石流的调查,得出该流域的66条沟中,22条沟无沟床起动类型泥石流暴发,25条沟暴发沟床起动类型泥石流,还有19条沟无法确定是否有沟床起动类型泥石流暴发。在前期工作基础上,提出了地质条件和降水条件因子的改进方法;并在前期工作的3大条件（地形条件、地质条件和降水条件）之间的关系基础上,由贵州望谟群发泥石流数据得出改进沟床起动类型泥石流的临界值,提出了泥石流的预报模型。本文模型在我国西南地区的泥石流验证中非常成功,为泥石流的预报提供了一个新方法。预报模型中的地形因子和地质因子还可以判断泥石流流域的暴发频率,为正确地判断泥石流流域的特征打下了基础。预报模型也可以估算泥石流的暴发规模,为定量地预测泥石流危害范围提供了依据。 相似文献
2.
针对沟床起动型泥石流的诱发因素为高强度短历时的降雨,提出10 min降雨强度是这类泥石流暴发的关键。在1 h预报模型的基础上,基于云南蒋家沟的多年泥石流观测资料,修正了1 h预报模型的降雨参数,并得到了10 min降雨预报模型。10 min降雨预报模型在中国西部的其他流域,如云南浑水沟、贵州望谟县打易区域泥石流沟、四川三滩沟、四川雅安陆王沟和干溪沟、甘肃柳湾沟、甘肃马槽沟等流域的验证中,取得了较好的结果。10 min降雨预报模型是部分建立在泥石流的形成机理上的模型,并不是完全的统计模型,因此该模型也可以用于其他地区的沟床起动类型泥石流预报。 相似文献
3.
Many debris flows were triggered in the Chenyulan River Watershed in Taiwan in a rainstorm caused by the Typhoon Toraji. There are 117 gullies with a significant steep topography in the catchment. During this Typhoon, debris flows were initiated in 43 of these gullies, while in 34 gullies, it was not certain whether they have occurred. High-intensity short-duration rainfall was the main triggering factor for these gully type debris flows which are probably entrained by a “fire hose” mechanism. Previous research identified 47 factors related to topography, geology, and hydrology, which may play a role in the formation of gully type debris flows. For a better understanding of the probability of the formation of debris flows, it is proposed to represent the factors related to topography, geology, and hydrology by one single factor. In addition to the existing topographic and geological factor, a normalized critical rainfall factor is suggested with an effective cumulative precipitation and a maximum hourly rainfall intensity. In this paper, a formation model for debris flows is proposed, which combines these topographic, geological, and hydraulic factors. A relationship of these factors with a triggering threshold is proposed. The model produces a good assessment of the probability of occurrence of debris flows in the study area. The model may be used for the prediction of debris flows in other areas because it is mostly based on the initiation mechanisms and not only on the statistical analyses of a unique variety of local factors. The research provides a new and exciting way to study the occurrence of debris flows initiated by a “fire hose” mechanism. 相似文献
4.
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. 相似文献
5.
泥石流形成区沟床宽度和颗粒粒径对沟床起动型泥石流的发生影响很大,在强烈地震影响区内显得尤为突出,但目前的泥石流预报中还没考虑到这两个因素,无法准确预测强震区泥石流的发生.在泥石流10 min和1 h精细化预报模型基础上,通过现场调查群发泥石流事件,结合汶川地震强烈影响区泥石流的演化特点,引入了泥石流形成区沟道宽度和颗粒粒径的影响,建立了改进的精细化泥石流10 min和1 h预报模型,并在贵州望谟打易和四川德昌群发泥石流、汶川地震强烈影响区的文家沟多次泥石流事件中获得了很好的验证结果,得出泥石流形成区的颗粒粒径代表泥石流的地质因子,泥石流形成区沟床宽度代表泥石流的地形因子之一,这2个因子在泥石流发生中的作用都非常重要;改进的精细化10 min和1 h预报模型以及临界值,可以用于强烈地震区和一般的泥石流预报. 相似文献
6.
Impacts of September 21, 1999 Chi-Chi earthquake on the characteristics of gully-type debris flows in central Taiwan 总被引：3，自引：1，他引：2
Debris flows are more frequent in central Taiwan, because of its mountainous geography. For example, many debris flows were
induced by Typhoon Herb in 1996. The Chi-Chi earthquake with a magnitude of 7.3, which took place in 1999 in central Taiwan,
induced many landslides in this region. Some landslides turned into debris flows when Typhoon Toraji struck Taiwan in 2001.
This study investigates the characteristics of the gullies where debris flows have occurred for a comparison. Aerial photos
of these regions dated in 1997 (before the earthquake) and 2001 (after the earthquake) are used to identify the occurrence
of gully-type debris flows. A Geographic Information System (GIS) is applied to acquire hydrological and geomorphic characteristics:
stream gradient, stream length, catchment gradient, catchment area, form factor, and geology unit of these gullies. These
characteristics in different study regions are presented in a statistical approach. The study of how strong ground motion
affects the debris flows occurrence is conducted. The characteristics of the debris flow gullies triggered by typhoons before
and after the Chi-Chi earthquake are quantitatively compared. The analysis results show that a significant transformation
in the characteristics was induced by the Chi-Chi earthquake. In general, the transformation points out a lower hydrological
and geomorphic threshold to trigger debris flows after the Chi-Chi earthquake. The susceptibility of rock units to strong
ground motion is also examined. The analysis of debris flow density and accumulated rainfall in regions of different ground
motion also reveal that the rainfall threshold decreases after the Chi-Chi earthquake. 相似文献
7.
An empirical approach for evaluation of the potential of debris flow occurrence in mountainous areas 总被引：3，自引：2，他引：1
Debris flows can occur relatively suddenly and quickly in mountainous areas, resulting in major structural damage and loss of life. The establishment of a model to evaluate the occurrence probability of debris flows in mountainous areas is therefore of great value. The influence factors of debris flows are very complex; they can basically be divided into background factors and triggering factors. Background factors include the mechanical characteristics of geo-materials, topography and landscape, and soil vegetation; and triggering factors include hydrological and rainfall conditions, and human activities. By assessing the dynamic characteristics of debris flows in mountainous areas, some important influence factors are selected here for analysis of their impacts on the occurrence probability of debris flow. A mathematical model for evaluation of the occurrence probability of debris flows is presented and combined with probability analysis. Matlab software is used for the numerical implementation of the forecasting model, and the influences of rainfall, lithology and terrain conditions on the occurrence probability of debris flows are analyzed. Finally, the presented model is applied to forecast the occurrence probability of debris flows in the mountainous area around Qingping Town; the simulation results show that many loose landslide deposits and heavy rainfall are the key factors likely to trigger debris flows in this region. 相似文献
8.
2011年贵州省望谟县打易镇的大范围浅层滑坡诱发的沟谷泥石流提供了研究这类泥石流地形和降雨条件的机会。在地质条件一致和小区域内的降雨条件基本一致的情况下,地形条件就是这些泥石流暴发与否的唯一决定因素。对比一些重要的地形因素与泥石流暴发的关系,得出了由流域面积、沟床纵比降和25°~45°山坡坡度面积比组成的泥石流综合地形因子T。在地形因子T的基础上,研究获得了由前期降雨量、1 h降雨强度、年平均降雨量等组成的降雨因子R。由地形因子T和降雨因子R获得的临界条件P可以判断该区域的泥石流暴发。由于研究工作部分基于泥石流的形成机理,研究成果还可用于其他区域的泥石流形成预测,为泥石流的预测预报提供了一个较好的方法。 相似文献
9.
2010年8月13日四川都江堰市龙池地区暴发了特大规模的群发性暴雨型泥石流过程,给龙池地区的震后恢复重建带来了巨大的灾难,因此,研究该区泥石流发生机理和预警十分必要。本文在总结前人关于泥石流暴发与降雨条件研究成果基础上,发现泥石流物源含水量及地表径流流深等是导致流域内松散物源启动的主要原因。根据其前期降雨量和有效降雨强度等特征,建立了泥石流流域物源土体颗粒个别启动、局部启动和大量启动的判别式,建立了适合该区域暴雨泥石流预警模型,将可能诱发泥石流暴发的不同降雨条件划分为蓝、黄和红色3个危险等级,为该区泥石流监测预警提供了科学依据。 相似文献
10.
汶川震区北川9.24暴雨泥石流特征研究 总被引：32，自引：1，他引：31
2008年9月24日汶川震区的北川县暴雨导致区域性泥石流发生,这次9.24暴雨泥石流灾害导致了42人死亡,对公路和其他基础设施造成严重损毁。本研究采用地面调查和遥感解译方法分析地震与暴雨共同作用下的泥石流特征,获取的气象数据用于分析泥石流起动的临界雨量条件。本文探讨了研究区泥石流起动和输移过程,并根据野外调查,分析了泥石流形成的降雨、岩石和断层作用,特别是强降雨过程与物源区对泥石流发生的作用。根据应急调查发现北川县境内暴雨诱发的泥石流72处,其分布受岩石类型、发震断层和河流等因素控制。根据对研究区震前和震后泥石流发生的临界雨量和雨强的初步分析,汶川地震后,该区域泥石流起动的前期累积雨量降低了14.8%～22.1%,小时雨强降低25.4 %～31.6%。震区泥石流起动方式主要有二种,一是由于暴雨过程形成的斜坡表层径流导致悬挂于斜坡上的滑坡体表面和前缘松散物质向下输移,进入沟道后转为泥石流过程;二是消防水管效应使沟道水流快速集中,并强烈冲刷沟床中松散固体物质,导致沟床物质起动并形成泥石流过程。调查和分析发现沟内堆积的滑坡坝对泥石流的阻塞明显,溃决后可导致瞬时洪峰流量特别大。研究结果表明了汶川震区已进入一个新的活跃期。因此,应该开展对汶川地震区的泥石流风险评估和监测、早期预警,采取有效的工程措施控制泥石流的发生和危害。 相似文献
11.
Qing Wang Yuanyuan Kong Wen Zhang Jianping Chen Peihua Xu Huizhong Li Yiguo Xue Xiaoqing Yuan Jiewei Zhan Yujie Zhu 《Arabian Journal of Geosciences》2016,9(18):718
A method was developed to analyze the susceptibilities of 541 regional basins affected by debris flows at the Wudongde Dam site in southwest China. Determining susceptibility requires information on source material quantity and occurrence frequency. However, the large number of debris flows can hinder the individual field investigation in a each small basin. Factors that may trigger debris flows can be identified using remotely sensed interpretation information. Susceptibility analysis can then be conducted based on these factors. In this study, SPOT5 satellite imagery, digital elevation models (DEM), a lithology distribution map, and rainfall monitoring data were used to identify 12 debris flow trigger factors: basin relief ratio, slope gradient in the initiation zone, drainage density, downslope curvature of the main channel, vegetation coverage, main channel aspect, topographic wetness index, Melton’s ruggedness number, lithology, annual rainfall, form factor, and cross-slope curvature of the transportation zone. Principal component analysis was used to obtain the eight principal components of these factors that contribute to susceptibility results. Then, a self-organizing map method was adopted to analyze the principal components, which resulted in a debris flow susceptibility classification. Field validation of 26 debris flow basins was used to evaluate the errors of the susceptibility classification, as well as assess the causes of such errors. The study found that principle component analysis and self-organizing map methodologies are good predictors of basin susceptibility to debris flows. 相似文献
12.
Debris flows have caused serious loss of human lives and a lot of damage to properties in Taiwan over the past decades. Moreover, debris flows have brought massive mud causing water pollution in reservoirs and resulted in water shortage for daily life locally and affected agricultural irrigation and industrial usages seriously. A number of methods for prediction of debris flows have been studied. However, the successful prediction ratio of debris flows cannot always maintain a stable and reliable level. The objective of this study is to present a stable and reliable analytical model for occurrence predictions of debris flows. This study proposes an Artificial Neural Networks (ANN) model that was constructed by seven significant factors using back-propagation (BP) algorithm. These seven factors include (1) length of creek, (2) average slope, (3) effective watershed area, (4) shape coefficient, (5) median size of soil grain, (6) effective cumulative rainfall, and (7) effective rainfall intensity. A total of 178 potential cases of debris flows collected in eastern Taiwan were fed into the ANN model for training and testing. The average ratio of successful prediction reaching 93.82% demonstrates that the presented ANN model with seven significant factors can provide a stable and reliable result for the prediction of debris flows in hazard mitigation and guarding systems. 相似文献
13.
Bin Yu 《Natural Hazards》2011,58(1):391-406
The accurate prediction of debris flows occurrence that will allow the reduction or prevention of economic losses and human
casualties is presently the most difficult aspect of debris flows studies but also the aspect that receives most attention.
Most prediction methods are based on rainfall as the basic parameter, with the moment of occurrence as only result, and without
a prediction of debris flow travel time and size. This paper takes Jiangjia Gully in Dongchuan of Yunnan Province as an example,
and considers, on the basis of the fulfillment of the essential condition: the abundant availability of loose materials, the
conditions for the formation of debris flows. Based on the mechanism of the initiation of debris flows in channels and the
volume of rainfall in the basin, this paper also gives a systematic analysis on the travel time and size of the debris flow
and suggests that the hydrological condition for forming debris flow is the unit discharge of the flood ≥0.35 m3/s.m. It uses the 10-min rainfall intensity to calculate both the run-off of the rainfall and the unit discharge caused by
the run-off, thus predicting the occurrence of debris flows. The velocity and the travel time of a debris flow can also be
determined using the unit discharge of the run-off. The total volume of debris flows can be calculated using the 10-min intensity
of rainfall and the total volume of the run-off, together with the volume concentration of the sediment in a debris flow. 相似文献
14.
Tung-Chiung Chang 《Natural Hazards》2007,42(1):209-224
A number of methods for prediction of debris flows have been studied. However, the successful prediction ratios of debris
flows cannot always maintain a stable and reliable level. The objective of this study is to present a stable and reliable
analytical model for risk degree predictions of debris flows. This study proposes an Artificial Neural Networks (ANN) model
that was constructed by seven significant factors using back-propagation (BP) algorithm. These seven factors include (1) length
of creek, (2) average slope, (3) effective watershed area, (4) shape coefficient, (5) median size of soil grain, (6) effective
cumulative rainfall, and (7) effective rainfall intensity. A total of 171 potential cases of debris flows collected in eastern
Taiwan were fed into the ANN model for training and testing. The average ratio of successful prediction reaching 99.12% demonstrates
that the presented ANN model with seven significant factors can provide a highly stable and reliable result for the prediction
of debris flows in hazard mitigation and guarding systems. 相似文献
15.
泥石流是我国山区常见的地质灾害,为了定量研究泥石流灾害致灾因子的敏感性并确定各个致灾因子的权重大小,本文通过野外调查、数理统计法和层次分析法对龙溪河流域泥石流灾害的主要致灾因子进行定性规律分析和定量权重计算。结果表明:（1）泥石流灾害的发生与致灾因子的敏感性区间主要定性表现为:流域面积小于1 km2以内、高差在200~400 m范围内、距断层距离为0~2 km、山坡坡度30°~50°、岩性为砂岩、纵比降在400‰~600‰等,其泥石流发生与致灾因子具有相关性,且相关性较好;（2）选取了泥石流灾害致灾因子中的历史因子、地形因子、地质因子和降雨因子等4个一级因子以及流域面积、高程、相对高差、纵坡比、地层岩性等14个二级因子建立层次分析模型和计算判断矩阵,定量计算权重值得出降雨,流域面积,地层岩性,纵比降等四个因子对泥石流发生的敏感性最强。这一结论具有普遍性,可对该区域泥石流的易发性,危险性,风险性评价提供一定的数据参考意义。 相似文献
16.
The Wenchuan earthquake induced large amounts of debris flows and catastrophic incidents triggered by subsequent rainstorms occurred frequently in the past 6 rainy seasons, and thus resulted in serious casualties, huge economic loss and long-term impact. In this paper, post-seismic debris flows distributed in 10 Wenchuan earthquake extremely stricken counties were verified and debris flow database consisting of 609 debris flows was established based on detailed investigation organized by Land and Resources Department of Sichuan Province. Combined with database and related studies, the impact of Wenchuan earthquake on debris flows was analyzed. And then variation of formation conditions including rainfall threshold and landform condition was analyzed by contrasting pre-seismic and post-seismic debris flows. Followed are some typical viewpoints on initiation mechanism of post-seismic debris flows. In the end of this paper, characteristics of postseismic debris flows triggered by subsequent rainstorms were comprehensively summarized, such as regional group occurrence, high frequency, high viscosity, chain effect, huge dynamics, large scale and long duration. We hope this paper will be helpful in understanding the formation mechanism, disaster characteristics and prevention countermeasures of post-seismic debris flows in Wenchuan earthquake extremely stricken areas. 相似文献
17.
人工降雨条件下冲沟型泥石流起动试验研究 总被引：1，自引：0，他引：1
下垫面以位于贡嘎山东坡的熊家沟为模型,开展了不同降雨强度条件下冲沟型泥石流起动的模拟试验,初步研究了冲沟型泥石流的形成机理和演化特征.试验研究表明:(1)在强降雨条件下,水体入渗速度、不同深度土体含水量变化与降雨强度呈反比例关系,降雨强度越大,越不利于水体入渗,而有利于坡面汇流、冲沟径流和下切侵蚀; (2)在强降雨和径流条件下,土体破坏方式、破坏程度以及泥石流形成机理表现出差异性.相对较小雨强降雨条件下,土体破坏方式以滑坡为主,泥石流形成模式表现为滑坡液化与转化起动,雨强较大降雨条件下,土体破坏方式以侵蚀垮塌为主,泥石流形成模式为洪流席卷垮塌体和沟床揭底; (3)起动试验中泥石流阵性特征明显.在强降雨条件下,雨强与泥石流的规模、黏度之间没有正相关性,雨强越大,泥石流黏度越小,试验中多出现的是高含砂洪流,而相对较小雨强作用下由土体液化转化形成的泥石流黏度较大.试验现象和结果与熊家沟泥石流起动、发生过程具有较高的一致性. 相似文献
18.
影响云南省滑坡泥石流活动的几个自然因素 总被引：15，自引：0，他引：15
根据1989～2002年云南省滑坡、泥石流调查资料，在单因素分析的基础上，确定地形、岩土体类型、降雨、地震、活动断裂、气候带和植被覆盖率共7个因素是云南省影响滑坡泥石流的主要自然因素。通过R-型因子分析、逐步回归分析和灰色关联度分析，得出对滑坡影响程度由大到小的因子排序是：海拔和高差、地形坡度、地震、活动断裂、岩组、降雨量；对泥石流影响程度由大到小的因子排序是：活动断裂、海拔和高差、岩组、降雨量、地震。 相似文献
19.
水力类泥石流起动机理与预报研究进展与方向 总被引：2，自引：1，他引：1
水力类泥石流是泥石流的一大类型,一旦暴发可造成巨大的人员伤亡和财产损失,因而其起动机理和预报是泥石流学科的前沿课题。尽管国内外研究在该领域取得了显著进展,但是由于该类泥石流起动机理的复杂性,已有的预报模型和其实用性仍然有相当的差距。概述了水力类泥石流起动与预报的国内外研究进展,提出未来该研究方向的主要研究内容。未来研究内容应该包括从环境地质学、地貌学和水文学角度认识水力类泥石流的起动成因和过程及相应的临界条件;研究以水文学为主线的水力类泥石流的起动机理和模型,并提出水力类泥石流的起动水文参数临界条件;建立以临界流量法和分布式水文模型为理论依据的水力类泥石流的预报途径和方法。该研究对加强水力类泥石流起动机理及预测预报的创新性研究和促进学科发展具有重要的科学价值和实践意义。 相似文献
20.
利用搜集的汶川震区典型泥石流暴发前后的降雨过程资料,分析了泥石流的激发雨量过程,获得了汶川震区的泥石流激发雨量特征,以期为泥石流的预测预报提供依据。结果表明,汶川地震区的泥石流激发雨型可分为快速激发型、中速激发型和慢速激发型3类,其差异主要体现在降雨的持续时间和强度方面。不同激发雨型下的泥石流形成过程的差别主要体现在松散土体饱和过程。雨型的差异(降雨的持续时间和强度)使得土体饱和产生超渗产流的时间出现差异,进而使得泥石流暴发的时间存在差异。激发雨强跟激发雨型存在一定的关系,激发雨强最大者为中速激发雨型,其次是慢速激发雨型,最小者为快速激发雨型。与地震之前相比,地震后的泥石流暴发时的累积雨量和临界雨量都有所降低。 相似文献