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1.
Using Historical Documents for Landslide, Debris Flow and Stream Flood Prevention. Applications in Northern Italy 总被引：1，自引：0，他引：1
Landslides, debris flows and stream floods are common natural processes inNorthern Italy. Their occurrence can be correctly assessed in space and timeonly through a sound basis of knowledge acquired by the scientific use of alarge number of historical documents. Over the last 30 years, the CNR IRPIInstitute of Turin has made archive data utilisation one of its main points ofscientific research, through the collection of hundreds of thousands of recordscontained in published and unpublished documents and historical reports onnatural damaging events over the last 500 years, particularly since XIX Century.The historical data, interpreted and selected on a scientific basis, have beenorganised in a database and utilised for landscape planning and hydrogeologicalprevention. In co-operation with public organisations, the IRPI Institute hassupplied information (type, location, magnitude, frequency and effects) abouthazardous events in Northern Italy. To give an example, in the last 4 yearsabout 4,500 failure events have been detected along the road network of theTurin Province and many debris flow, rockfall, landslide and flood events inthe Lombardy Region. These data are reported as points linked to the relevantevent-card on technical cartography (scale 1:10,000 or 1:25,000), so that theycan be immediately utilised either on paper or digitally (e.g., GIS, Arcview software).The present day elaboration of archival data permit the possible analytical applications for structural interventions in natural hazard remediation in built-up areas. In all cases, the results of research allow public awareness of natural danger and the correct layout of civil protection strategies. 相似文献
2.
The Bavarian Alps region is strongly affected by various natural hazards, mainly hydrological events (floods, debris flows),
geomorphic/geological events (landslides, rock falls), and avalanches. Extraordinary floods, like in 2002 or in the summer
of 2005 in south Bavaria, have again posed the question of the possible extent and frequency of recurrence of catastrophic
events. To put risk assessment on a broader basis historical data about all kinds of past natural hazards were detected in
the archives of local authorities and administrative offices for water management. More than 10,000 sources (written accounts,
maps, and photographs) were collated in a database. The majority of this information reaches back to the middle of the 19th
century. In addition, many documents referring to events dating back even as far as the middle age were found. The Historische
Analyse von NaturGefahren (HANG, historical analysis of natural hazards) project at the University of Eichstaett mainly focuses
on a small-scale examination of the data. Initial results of the data analysis show that most catastrophic events in the Bavarian
Alps only affect parts of the area, but not the whole region. Therefore it is necessary to assess the risk potential on a
local scale like valleys, the catchment areas of mountain streams, or even single streams. Firstly the presented data is aimed
to help engineers in future planning of hazard-protection measures. Secondly the information can form a vital component to
enhance our knowledge of hydrological and geomorphic/geological dynamics in the Alps. 相似文献
3.
Chen Chien-Yuan Chen Tien-Chien Yu Fan-Chieh Yu Wen-Hui Tseng Chun-Chieh 《Environmental Geology》2005,47(5):715-724
A rainfall-induced debris flow warning is implemented employing real-time rain gauge data. The pre-warning for the time of landslide triggering derives the threshold or critical rainfall from historical events involving regional rainfall patterns and geological conditions. In cases of debris flow, the time taken cumulative runoff, to yield abundant water for debris triggering, is an important index that needs monitoring. In gathered historical cases, rainfall time history data from the nearest rain gauge stations to debris-flow sites connected to debris flow are used to define relationships between the rainfall intensity and duration. The effects by which the regional rainfall patterns (antecedent rainfall, duration, intensity, cumulative rainfall) and geological settings combine together to trigger a debris-flow are analyzed for real-time monitoring. The analyses focused on 61 historical hazard events with the timing of debris flow initiation and rainfall duration to burst debris-flow characteristics recorded. A combination of averaged rainfall intensity and duration is a more practical index for debris-flow monitoring than critical or threshold rainfall intensity. Because, the outburst timing of debris flows correlates closely to the peak hourly rainfall and the forecasting of peak hourly rainfall reached in a meteorological event could be a valuable index for real-time debris-flow warning. 相似文献
4.
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
5.
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
6.
Viorel Ilinca 《Landslides》2014,11(3):505-512
This paper focuses on characteristics of debris flows from the lower part of the Lotru River basin (South Carpathians, Romania). The damage produced by these debris flows has included burial of agricultural land, roads covered by debris flows, and even the obstruction of the Lotru River. Simple statistical analysis has been used to emphasize the characteristics of the debris flow sites. The collected data show that heavy rainfall is the main triggering mechanism of debris flow events in the Lotru hydrographic basin. The daily rainfall data for this region show that important debris flow events generally occur when rainfall exceeds 40 mm in 24 h, while rainfall levels between 25 and 40 mm in 24 h result in hyperconcentrated flows. For 11 of 14 studied debris flow sites, the fan area is greater than the source area, probably due to the thickness of the regolith, which is up to 5–10 m deep. Both source area and deposition area are very dynamic. The retreat rate calculated for five debris flow sites ranges from 5 to 30 m in 30 years (from 1975 to 2005). Channel cross section measurements on one of the debris flows show that velocity values vary from 1.31 to 2.64 m/s; corresponding discharge values vary from 4 to 10.03 m3/s. 相似文献
7.
Fangqiang Wei Kechang Gao Kaiheng Hu Yong Li James Smith Gardner 《Environmental Geology》2008,55(3):619-627
Southwest China, including the Provinces of Yunnan, Guizhou, Sichuan and Chongqing, is a region with serious debris flow hazards,
where 7,561 debris flow sites have been identified. Based on the data from these sites, the distribution regularity of debris
flows was analyzed. Earth surface factors that may influence the formation of debris flows were analyzed from the viewpoints
of energy and material conditions. Four major earth surface factors were selected: relative relief, stratigraphy, fault density
and land-use conditions. With the support of GIS, the research region was divided into 125,177 grid cells and for each cell
data for the four factors were collected. Based on this information, the distribution of quantity and the occurrence probability
of debris flows and the role of each factor were statistically analyzed. The results should be helpful for the assessment
of debris flow hazards and debris flow forecasting in the research region. 相似文献
8.
Kuskonook Creek, an example of a debris flow analysis 总被引：1，自引：0，他引：1
Two debris flows occurred on Kuskonook Creek in British Columbia, Canada, in August and September 2004. The initiation factors
included a major forest fire in the catchment in 2003, in association with relatively small rainfall events and the accumulation
of sediment in the creek channels since the last large debris flow event. Previous regional studies and morphometric comparisons
with other similar catchments indicate that Kuskonook Creek has characteristics predisposed to debris flows, even without
the affects of a forest fire. Based on the investigations and analyses, a magnitude/frequency relationship for future debris
events on Kuskonook Creek was developed, and this information was used to carry out a partial risk assessment. It is suggested
that for design purposes, a 1/50-year return period and the corresponding debris flow magnitude of 15,000 m3 would provide conservative protection to the users of the provincial highway at the mouth of the creek. 相似文献
9.
《Quaternary International》2006,142(1):83-95
Debris flows are an important type of geological hazard in Chile, affecting cities, towns and rural areas throughout the country despite the variation in climate regimes. In this summary paper, recent debris flows in the cities of Antofagasta and Santiago, in northern and central Chile, and in a rural area near Lake Ranco in central-southern Chile in 1991, 1993 and 2004, respectively, are reviewed. Triggering factors for flow occurrence are identified and different approaches to debris flow hazard assessment and the effects of debris flows on people and the environment are discussed. Furthermore, the relationships between debris flow occurrence and climatic anomalies such as El Niño episodes are analysed. A clear pattern of debris flow generation associated with El Niño events is found for Antofagasta and Santiago. The risk related to debris flows in Chile is of increasing importance because of the continuous expansion of cities to hazardous areas such as alluvial fans. The results show that hazard assessment based on several factors is essential for the implementation of proper prevention and mitigation measures for future debris flow events in the country. 相似文献
10.
川藏交通廊道沿线山高谷深,地层岩性多变,新构造运动活跃,气候恶劣复杂,导致滑坡、崩塌、泥石流、冰湖溃决洪水等灾害极其发育,对铁路施工及运营带来严重影响.林芝-波密段就是典型地质灾害高发区域,常年受到冰川泥石流的影响,是川藏交通廊道重大灾害防治的难点区段.虽然目前在单沟尺度上对冰川泥石流的形成条件、影响因素、物源性质取得了一定的认识,但对于川藏交通廊道沿线不同类型的冰川泥石流诱发因素、区域发展演化规律及灾变指标的研究还较为初步,尚未构建完善的监测预警体系.借助多源长时序遥感影像、气象监测数据,结合野外实地验证和历史数据分析发现:川藏交通廊道周边区域冰川泥石流沟谷共99条,主要分布于恰青冰川-易贡乡、加拉贝垒-南迦巴瓦峰和古乡沟-嘎隆寺冰川一带;过去40年冰川经历了复杂的流动速度变化,表现为较小高海拔悬冰川活动性增强,大型沟谷冰川活动性减弱;自1973年以来,研究区冰川泥石流呈现频率增高、规模增大的特征.此外,从冰川泥石流发育沟道比降来看,发生高陡地形的滑坡、冰-岩崩诱发的泥石流频率增加.未来,冰川持续退缩,促使冰川源区冰瀑消失,发育更大规模的悬冰川,会增加这类冰川泥石流的风险;冰川泥石流形成及演化过程具有明显的灾变指标,如悬冰川裂隙密度增加、冰川速度增强、冰湖面积快速增加等.因此,基于以上认识,建议针对不同类型的冰川泥石流地建立完善的监测预警指标,并提出了融合卫星、航空遥感平台,气象、水文地面监测平台,地震动监测平台的冰川泥石流“空-天-地”立体监测框架,针对不同类型冰川泥石流进行灾变信息监测与预警判识,为川藏交通廊道安全施工运营提供技术参考. 相似文献
11.
DONALD R. LOWE 《Sedimentology》2012,59(7):2042-2070
Deposits of submarine debris flows can build up substantial topography on the sea floor. The resulting sea floor morphology can strongly influence the pathways of and deposition from subsequent turbidity currents. Map views of sea floor morphology are available for parts of the modern sea floor and from high‐resolution seismic‐reflection data. However, these data sets usually lack lithological information. In contrast, outcrops provide cross‐sectional and lateral stratigraphic details of deep‐water strata with superb lithological control but provide little information on sea floor morphology. Here, a methodology is presented that extracts fundamental lithological information from sediment core and well logs with a novel calibration between core, well‐logs and seismic attributes within a large submarine axial channel belt in the Tertiary Molasse foreland basin, Austria. This channel belt was the course of multiple debris‐flow and turbidity current events, and the fill consists of interbedded layers deposited by both of these processes. Using the core‐well‐seismic calibration, three‐dimensional lithofacies proportion volumes were created. These volumes enable the interpretation of the three‐dimensional distribution of the important lithofacies and thus the investigation of sea floor morphology produced by debris‐flow events and its impact on succeeding turbidite deposition. These results show that the distribution of debris‐flow deposits follows a relatively regular pattern of levées and lobes. When subsequent high‐density turbidity currents encountered this mounded debris‐flow topography, they slowed and deposited a portion of their sandy high‐density loads just upstream of morphological highs. Understanding the depositional patterns of debris flows is key to understanding and predicting the location and character of associated sandstone accumulations. This detailed model of the filling style and the resulting stratigraphic architecture of a debris‐flow dominated deep‐marine depositional system can be used as an analogue for similar modern and ancient systems. 相似文献
12.
The knowledge rules of debris flow event: A case study for investigation Chen Yu Lan River, Taiwan 总被引：1，自引：0，他引：1
Debris flow, one of the most active hydrological processes, brings about a great loss of life and properties in the Chen Yu Lan River area, Nan-Tou County, Taiwan. The goal of this study is to manage and monitor the debris flows in a vast area. Thus, the strategy is to collect hydraulical and in-situ data easily and quickly through our spatial information system. Then, a novel Data Mining technique will be developed to find a rule-based knowledge system of debris flow. The entire study can be divided into two parts. In the first part, using spatial information the debris flow image is extracted from the outbreak area. The system provides precise positional information pertaining to the debris flow events. Attributes such as effective watershed area, Normalized Difference Vegetation Index (NDVI), and slope are automatically obtained from the system. In the second part of this study, K-mean theory is used to classify the observed hydraulical and in-situ data into different categories. Then, the ‘Effective Rough Set’ method is successfully used to analyze the factors influencing the debris flow phenomenon and delivers rational knowledge rules. The contribution of this study is presented that NDVI, slope and effective watershed area are the major factors influencing debris flow in the study area. The knowledge rules can provide better understanding on the elevation of high potential debris catchments. 相似文献
13.
Seasonal effects of rainfall on the shallow pyroclastic deposits of the Campania region (southern Italy) 总被引：6，自引：3，他引：3
The shallow deposits of unsaturated pyroclastic soils covering the slopes in the Campania region (southern Italy) are systematically affected by various rainfall-induced slope instabilities. The type and triggering of these instabilities depend on several factors, among which in situ soil suction—as an initial condition—and rainfall—as a boundary condition—play a fundamental role. Based on the available database—which includes a comprehensive catalogue of historical data, in situ soil suction measurements and soil laboratory tests along with the results of geomechanical analyses—this paper discusses the relationships among in situ soil suction and rainfall conditions and induced slope instability types. The goal is to reach a better understanding of past events and gain further insight into the analysis and forecasting of future events. In particular, the paper outlines how the season strongly affects the spatial distribution and the type of slope instability likely to develop. For example, erosion phenomena essentially occur at the end of the dry season and originate hyperconcentrated flows while first-time shallow slides prevail in the rainy season and later propagate as debris flows or as debris avalanches. 相似文献
14.
15.
Recent catastrophic debris flows in Luding county, SW China: geological hazards, rainfall analysis and dynamic characteristics 总被引：1，自引：0，他引：1
About 127 debris flow gullies have been identified, and debris flows have been an important type of geological hazards in
Luding County, affecting cities, towns, rural areas, scenic spots and human’s engineering projects, such as mining and waterpower
utilizing equipments. In this summary paper, recent two catastrophic debris flow events occurred on June 30, 2005, in Chuni
town, in the central of the county, and on August 11, 2005, in Hailuogou scenic spot, in the southwest of the county, respectively,
are reviewed. The debris flow events are introduced on the basis of field investigation and RS interpretation and the triggering
factors for flow occurrence are identified. Furthermore, the rainfall related to flow occurrence including antecedent rainfall
and intraday rainfall is analyzed, and a power-law function which can be used as a basic warning line is established based
on both antecedent effective rainfall and intraday rainfall. Then dynamic parameters such as flow velocity and flow discharge
are calculated, respectively. Through comparison and discussion, some conclusions are made including (1) The antecedent rainfall
played an important role for debris flows which generated predominately based on the slope-instability due to the saturated
loose sediments; (2) Despite slower flow velocity and smaller magnitude, the slope-type debris flows just like 2005-6-30 debris
flows usually lead to serious damages for the difficulty to forecast and to prevent; (3) The mistaken recognition on debris
flow hazards and lack of prevention consciousness strengthen the hazard and damage degree. This research is of certain significance
for the prevention and mitigation of debris flow hazards and for the planning of the town building and tourism development
in the future. 相似文献
16.
Statistical Analysis of Landslide Events in Central America and their Run-out Distance 总被引：3，自引：0，他引：3
Graziella Devoli Fabio V. De Blasio Anders Elverhøi Kaare Høeg 《Geotechnical and Geological Engineering》2009,27(1):23-42
Statistical analyses of landslide deposits from similar areas provide information on dynamics and rheology, and are the basis
for empirical relationships for the prediction of future events. In Central America landslides represent an important threat
in both volcanic and non-volcanic areas. Data, mainly from 348 landslides in Nicaragua, and 19 in other Central American countries
have been analyzed to describe landslide characteristics and to search for possible correlations and empirical relationships.
The mobility of a landslide, expressed as the ratio between height of fall (H) and run-out distance (L) as a function of the
volume and height of fall; and the relationship between the height of fall and run-out distance were studied for rock falls,
slides, debris flows and debris avalanches. The data show differences in run-out distance and landslide mobility among different
types of landslides and between debris flows in volcanic and non-volcanic areas. The new Central American data add to and
seem consistent with data published from other regions. Studies combining field observations and empirical relationships with
laboratory studies and numerical simulations will help in the development of more reliable empirical equations for the prediction
of landslide run-out, with applications to hazard zonation and design of optimal risk mitigation measures. 相似文献
17.
Guo Xiaojun Chen Xingchang Song Guohu Zhuang Jianqi Fan Jianglin 《Natural Hazards》2021,106(3):2663-2687
Debris flows often occur in the mountainous watersheds of earthquake-affected areas, and in the Lushan earthquake area of southwestern China, they have become a significant hazard. In this study, the influencing factors and spatial distribution of debris flows were analyzed through a review of their occurrence history. Debris flows are mainly distributed in the northwestern part of the study area, which hosts the greatest density of active faults. The debris flows are generally formed by the ‘progressive bulking’ effect in channels, and deep incision, lateral erosion, and blockage breaking are common processes that amplify the magnitude of such debris flows. Rainfall thresholds for different types of debris flow were proposed to explain the spatial differences between debris-flow regions, and the temporal variations of those thresholds highlighted how the rainfall conditions required for the occurrence of debris flows have changed. Natural vegetation recovery, reduction in the availability of solid material, and artificial debris-flow control projects play important roles in raising the threshold of the rainfall conditions required for triggering debris flows.
相似文献18.
粘性泥石流的平均运动速度研究 总被引：6，自引：0，他引：6
粘性泥石流是泥石流类型中最常见也是危害最大的类型,泥石流的运动速度是泥石流的动力学参数中最重要的参数,因此准确而简洁地计算粘性泥石流的运动速度就显得非常重要。不同的泥石流地区的泥石流阻力有很大的不同:有的地区阻力较大,属于高阻力地区,泥石流运动速度较低;有的地区阻力较小,属于低阻力地区,泥石流运动速度较高。目前的粘性泥石流平均速度公式还不能兼顾计算所有地区的不同阻力类型的泥石流速度。泥石流的不均匀系数在不同的泥石流地区有很大的不同：不均匀系数小的地区阻力大,而不均匀系数大的地区阻力小,因此可以用不均匀系数划分泥石流沟的阻力特征,从而得到能兼顾所有不同地区的泥石流阻力规律。由一系列野外观测资料得到的由泥石流不均匀系数、泥石流运动底部纵比降和水力半径计算的粘性泥石流运动平均速度经验公式,能适应各种类型的泥石流沟,与其它系列的观测资料对比有很好的一致性,与粘性泥流的观测资料对比也很接近。由流体流动的福劳德数可以确定流动的缓急程度。一般的粘性泥石流都是急流,少数是缓流,极少数是运动速度非常缓慢的容重过大的粘性泥石流。粘性泥石流运动平均速度经验公式用于一般急流的粘性泥石流的速度计算结果很好,但不适用于容重过大的缓慢流动,对于缓流粘性泥石流速度计算偏大。在对泥石流的评估和治理中,平均速度公式可以用于泥石流堆积扇上游渠道中的粘性泥石流速度计算,对泥石流堆积扇上的粘性泥石流速度计算偏大,不适用于缓慢流动粘性泥石流,但在对泥石流的危害评估和治理中可以忽略缓慢流动的发生。 相似文献
19.
汶川地震后,流域内产生大量松散物源,使走马岭沟由一季节性冲沟演变为一条潜在泥石流沟,在地震后的3个汛期内发生多次泥石流,并造成灾害,其中以2008-9-24泥石流和2010-8-13泥石流最为严重。本文利用3期遥感影像并结合野外调查,对走马岭沟泥石流的形成条件进行了论述,对比分析了走马岭泥石流沟2008年、2009年、2010年3个汛期后流域的动态变化特征,主要表现为:(1)在不同降雨强度下,走马岭泥石流具有复合型物源区启动方式,并先从局部性支沟发生泥石流,进而演变为整个流域全面暴发泥石流。(2)经历了2008年、2009年、2010年3个雨季后,走马岭流域物源储量及物源供给形式发生变化,其中崩塌规模增加了1.87%; 滑坡增加了25.35%; 沟道及坡面松散堆积减少了67.47%,减少部分大部分转化为泥石流沟道堆积物。(3)不同降雨强度下,走马岭泥石流堆积区范围边界变化明显,且不同堆积扇间存在叠加关系; 结合走马岭"9·24"堆积扇范围和"8·13"堆积扇前缘堆积痕迹及影像特征,推测出走马岭"8·13"堆积扇堆积面积约8.76×104m2。最后对泥石流成因机理及发展趋势进行了初步分析。结果显示,走马岭为一高频泥石流沟,仍具备形成大规模泥石流的条件。 相似文献
20.
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