Sediment yield assessment and identification of check dam sites for Rawal Dam catchment

Sediment yield is the amount of erosional debris from drainage basin deposited in reservoirs. The economic life of storage reservoir depends upon the estimation of the time it takes for the reservoir to be filled with the deposition of sediments. This research is based on assessing the sediment yield in Rawal Dam catchment by using Soil and Water Assessment Tool (SWAT) model. Digital Elevation Model (DEM), land use maps, soil maps, and weather data of the study watershed were used as input to SWAT model. Monthly sedimentation data of year 2010 and discharge data from 1998 to 2005 is being used for model calibration and validation, respectively. Whereas simulations are being generated from 1998 to 2011 for both sedimentation and discharge. Modified Universal Soil Loss Equation (MUSLE) was used for the estimation of sediment yield. The Nash and Sutcliffe coefficient of the model was found to be 0.79 which depicts its effectiveness. After the estimation of the sediment yield and discharge by using SWAT model, double mass curve was used to evaluate the sedimentation rate. The rate of sediment transport can be reduced by the construction of check dams. Various sites have also been proposed for check dams construction to prevent the sediments transported into the Rawal Catchment.     

渤海湾盆地东营凹陷碎屑流主控型深水体系沉积过程及模式

【研究目的】碎屑流是深水环境沉积物搬运和分散的重要机制,其相关的砂岩储层是含油气盆地重要的勘探目标,然而,与经典浊流及浊积系统相比,对碎屑流主控型深水体系的发育规律目前仍知之甚少。【研究方法】本文基于岩心、测井及全三维地震资料,通过系统的岩心观察描述、测井及地震资料解释,对渤海湾盆地东营凹陷始新统沙三中亚段深水体系沉积过程及模式开展研究。【研究结果】结果表明,沙三中深水体系发育九种异地搬运岩相,可概括为四大成因类型,反映了块体及流体两种搬运过程。岩相定量统计表明,该深水体系主要由碎屑流沉积构成,浊流沉积很少,碎屑流中又以砂质碎屑流为主。重力流在搬运过程中经历了滑动、滑塌、砂质碎屑流、泥质碎屑流及浊流等5个阶段演变,发育5类主要的深水沉积单元,包括滑动体、滑塌体、碎屑流水道、碎屑流朵体及浊积薄层砂。从发育规模及储层物性上,砂质碎屑流水道、朵体及砂质滑动体构成了本区最重要的深水储层类型。【结论】认为沙三中时期充足的物源供给、三角洲前缘高沉积速率、断陷期频繁的断层活动以及较短的搬运距离是碎屑流主控型深水体系形成及演化的主控因素,最终基于沉积过程、沉积样式及盆地地貌特征综合建立了碎屑流主控型深水体系沉积模式。本研究将进一步丰富深水沉积理论,为陆相深水储层预测提供借鉴。     

Impact of rainstorm-triggered landslides on high turbidity in a mountain reservoir

Typhoon-triggered landslides deliver huge amounts of sediment to the upstream channel of the Shihmen Reservoir in northern Taiwan. Observation data regarding landsliding, sediment discharge and water turbidity following five major typhoon events from 1985 to 2006 demonstrated that each time water turbidity in the reservoir area rapidly increased up to ten-fold from the river catchment drainage, and the weight of landslide debris exceeded total sediment discharge five-fold. The fact that huge amounts of landslide debris still remained on upstream slopes and water turbidity suddenly increased in the reservoir area but not in upstream channel implied that the increasing water turbidity in the Shihmen Reservoir was indirectly related to the large landslides occurring in the upstream catchment. The main cause of high turbidity in the reservoir area was that, during a typhoon event, high water discharge flowing into the reservoir scoured the fine fraction sediment at the bottom of the reservoir and formed hyperpycanl flow with high turbidity, which then ascended to contaminate the reservoir surface water.     

基于小流域的地震扰动区降雨型滑坡泥石流危险性评价方法

地震扰动区存在大量震裂松散坡体,在持续或者密集的降雨条件下极易转化为滑坡灾害。同时,滑坡又会给泥石流提供大量松散固体物质,增加泥石流的危险性。因此,在震区,灾害通常以"链"的形式出现,比单一灾种危害性大。为了更有效地对地质灾害危险性进行评价,笔者将滑坡、泥石流作为灾害链,综合地加以分析和研究。选择5·12汶川大地震中受灾严重的都江堰市白沙河流域的17条泥石流沟作为研究区,建立滑坡-泥石流危险性评价耦合模型,研究24 h不同降雨量条件下小流域滑坡泥石流危险性的变化。耦合模型包括了坡体稳定性评价模型,水文模型及以泥石流规模、发生频率、流域面积、主沟长度、流域高差、切割密度、不稳定斜坡比为评价因子的泥石流危险性评价统计模型。研究结果表明:随着降雨量的增大,参与泥石流活动的松散物质方量持续增加,但当24 h降雨量超过200 mm后,泥石流沟的危险度等级不再发生变化;17条泥石流沟中4条为中危险度,12条为高危险度,1条为极高危险度。这说明研究区地质灾害问题相当严峻,在多雨季节存在泥石流群发的可能性,直接威胁到居住在泥石流沟附近的人民群众生命财产安全;因此,对于有直接危害对象的高危险度及其以上的泥石流沟,应该按照高等级设防标准进行工程治理及发布预警报。同时也说明,将滑坡、泥石流作为灾害链研究具必要性和可行性。     

Mapping of landslide hazard zonation using GIS at Golestan watershed, northeast of Iran

Landslide hazard zonation is essential for planning future developmental activities. At the present study, after the preparation of a landslide inventory of the study area, nine factors as well as sub-data layers of factor class weights were tested for an integrated analysis of landslide hazard in the region. The produced factor maps were weighted with the analytic hierarchy process method and then classified into four classes—negligible, low, moderate, and high. The final produced map for landslide hazard zonation in Golestan watershed revealed that: (1) about 53.85 % of the basin is prone to moderate and high threats of landslides. (2) Landslide events at the Golestan watershed were strongly correlated to the slope angle of the basin. It was observed that the active landslide zones, including moderate to high landslide hazard classes, have a high correlation to slope classes over 30° (R ²?=?0.769). (3) The regions most susceptible to landslide hazard are those located south and southwest of the watershed, which included rock topples, falls, and debris landslides.     

三眼峪特大泥石流形成的物源条件分析

通过对舟曲县"8.8"特大山洪泥石流三眼峪沟进行现场调查,从泥石流的岩土体类型及特征、地质构造、水文地质、新构造运动及地震等方面,对物源条件的地质环境背景进行了总结.调查结果表明:①三眼峪沟泥石流的松散固体物质主要包括崩塌堆积物、滑坡堆积物、残坡积物和冲洪积物.②三眼峪沟松散固体物质总量4079.42×104m3,流域...     

Development of an empirical model for rainfall-induced hillside vulnerability assessment: a case study on Chen-Yu-Lan watershed,Nantou, Taiwan

In Taiwan, the hillside is about 70 % of total area. These areas also have steep topography and geological vulnerability. When an event of torrential rain comes during a typhoon, the landslide disasters usually occur at these areas due to the long duration and high intensity of rainfall. Therefore, a design which considers the potential landslide has become an important issue in Taiwan. In this study, a temporal characteristic of landslide fragility curve (LFC) was developed, based on the geomorphological and vegetation factors using landslides at the Chen-Yu-Lan watershed in Taiwan, during Typhoon Sinlaku (September 2008) and Typhoon Morakot (August 2009). This study addressed an effective landslide hazard assessment process, linking together the post-landslide damage and post-rainfall data for LFC model. The Kriging method was used to interpolate the rainfall indices (R ₀, R, I) for numerical analysis. Remote sensing data from SPOT images were applied to analyze the landslide ratio and vegetation conditions. The 40-m digital elevation model was used for slope variation analysis in the watershed, and the maximum likelihood estimate was conducted to determine the mean and standard deviation parameters of the proposed empirical LFC model. This empirical model can express the probability of exceeding a damage state for a certain classification (or conditions) of landslides by considering a specific hazard index for a given event. Finally, the vulnerability functions can be used to assess the loss from landslides, and, in the future, to manage the risk of debris flow in the watershed.     

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。     

Linking rainfall-induced landslides with predictions of debris flow runout distances

Rapid debris flows are among the most destructive natural hazards in steep mountainous terrains. Prediction of their path and impact hinges on knowledge of initiation location and the size and constitution of the released mass. To better link mass release initiation with debris flow paths and runout lengths, we propose to capitalize on a newly developed model for rainfall-induced landslide initiation (“Catchment-scale Hydro-mechanical Landslide Triggering” CHLT model, von Ruette et al. 2013) and couple it with simple estimates of debris flow runout distances and pathways. Landslide locations and volumes provided by the CHLT model are used as inputs to simulate debris flow runout distances with two empirical- and two physically-based models. The debris flow runout models were calibrated using two landslide inventories in the Swiss Alps obtained following a large rainfall event in 2005. We first fitted and tested the models for the “Prättigau” inventory, where detailed information on runout path was available, and then applied the models to landslides inventoried from a different catchment (“Napf”). The predicted debris flow runout distances (emanating from CHLT simulated landslide positions) were well in the range of observed values for the physically-based approaches. The empirical approaches tend to overestimate runout distances relative to observations. These preliminary results demonstrate the added value of linking shallow landslide triggering models with predictions of debris flow runout pathways for a range of soil states and triggering events, thus providing a more complete hazard assessment picture for debris flow exposure at the catchment scale.     

Landslides affecting sedimentary characteristics of reservoir basin

Typhoons Aere (2004) and Matsa (2005) caused high nephelometric turbidity in the Shihmen reservoir in northern Taiwan, jeopardizing the operation of the reservoir for several days, and ultimately impacting the living conditions and economy of the downstream residents. The torrential rains caused landslides and debris flows in upland areas, and flowed into riverbeds, likely contributing significantly to the suspended sediment yields in the reservoir. This investigation elucidates how upland landslides affect sediment attributes in the reservoir basin. Study methods including field observations, spatial analysis in GIS and aerial photo interpretation are adopted to trace the sediment sources and contributing factors to the landslide. Torrential rains induced landslides and debris-flows upland, causing river incisions and soil erosion in landslide areas lacking vegetation. These factors, together with the conditions of the engineered structures and geologic vulnerabilities of the area, caused suspended sediment yield in the reservoir. The high nephelometric turbidity could potentially reoccur, with masses of landslide-derived sediment remaining upland and in the riverbed.     

Assessing debris-flow hazard in a watershed in Taiwan

This paper presents the results of a pilot study for assessing debris-flow hazards using geographic information system (GIS) techniques. The watershed of the Chen-Yu-Lan River is investigated in this pilot study. Factors that are believed to be critical to the occurrence of debris flow are identified and considered in the assessment of debris-flow hazards. Using the spatial analysis feature of GIS, the impact of these factors, expressed in terms of debris-flow hazard (DH) index, is calculated. By taking a simple summation of all DH indexes according to each factor, the overall debris-flow hazard at a particular watershed may be assessed. The applicability of the proposed approach for analyzing the watershed of the Chen-Yu-Lan River has been confirmed with the field observations in a recent typhoon event.     

Characteristics of spatial distribution of debris flow and the effect of their sediment yield in main downstream of Jinsha River,China

Debris flow hazard posts a big threat to the main downstream of Jinsha River where a number of huge power stations are under construction. The characteristics of spatial distribution of debris flows and the effect of their sediment yield on the reservoir areas have been studied. An automatic recognition module was developed to extract the geometry of debris flow channels from remote sensing data. Spatial distribution pattern of debris flows is obtained through combining the inventory database and multi-source remote sensing investigation. The distribution of debris flows has high dependency on the various factors including geology, geomorphology, climate, hydrology and human economic activities. The debris flows distributed in the study area are characterized by group and pair distribution, uncompleted deposition fans, highly controlled by faults and tectonic activities, spatial variation between left bank and right bank, and different subdivisions. The sediment yield caused by debris flow activates is evaluated using multi-year observation data from numerous observation stations. Quantitative studies have been performed on the relationship between the sediment yield and the debris flow area. A relatively fix ratio of 2.6 (×10⁴ t/km²) has been found in different subdivisions of main downstream area which shows that the source of sediment discharged into Jinsha River primarily come from debris flow activities. Another ratio is evaluated to represent the transforming possibility of debris flow materials to bed-sediment load and suspended-sediment load in the river. Based on these findings, the potential effect of sediment yield caused by debris flows on reservoir areas is discussed. The zonation map shows the different effect of debris flow sediment on different dam site area which shows a good agreement with variation of debris flow spatial distribution.     

流域产沙模型的研究

由坡面泥沙颗粒的动力平衡条件,推导出坡面上细颗粒泥沙的起动切应力,由坡面径流的剩余输沙能力,导得坡面径流的侵蚀量计算公式,与文献[4]的雨滴溅蚀量计算公式一起,构成了概念清楚、过程明确、结构完整的流域产沙模型。产沙量取决于水流挟沙能力与可供沙量的对比关系,若水流挟沙能力小于供沙量,则产沙量等于水流挟沙能力;反之,水流将进一步冲刷表土,形成径流侵蚀,产沙量就等于供沙量与径流侵蚀量之和。据此,可计算出坡面和流域产沙量。模型在岔巴沟流域上应用,结果令人满意。     

黄河上游戈龙布滑坡高速下滑成因机制及堵江分析

黄河上游戈龙布滑坡位于积石峡水电站库区内,经过现场调查可知,戈龙布滑坡为一大型滑坡,整个滑坡体积达到5040万m3,一共分为4个区。研究表明,戈龙布滑坡成因机制为滑移－拉裂型,滑坡在黄河右岸经过高速远程下滑过后撞击上游山体,部分滑体越过黄河堆积于左岸并堵塞黄河达数百年,堰塞湖内有厚度达30余米的纹泥沉积,初步分析滑坡坝的高度在100m左右,库水深在70m左右,滑坡堵江时代在Q4时期。滑坡坝溃决后导致黄河改道,残留的滑体分别位移黄河的左岸和右岸。     

Wildfire impacts on the processes that generate debris flows in burned watersheds

Every year, and in many countries worldwide, wildfires cause significant damage and economic losses due to both the direct effects of the fires and the subsequent accelerated runoff, erosion, and debris flow. Wildfires can have profound effects on the hydrologic response of watersheds by changing the infiltration characteristics and erodibility of the soil, which leads to decreased rainfall infiltration, significantly increased overland flow and runoff in channels, and movement of soil. Debris-flow activity is among the most destructive consequences of these changes, often causing extensive damage to human infrastructure. Data from the Mediterranean area and Western United States of America help identify the primary processes that result in debris flows in recently burned areas. Two primary processes for the initiation of fire-related debris flows have been so far identified: (1) runoff-dominated erosion by surface overland flow; and (2) infiltration-triggered failure and mobilization of a discrete landslide mass. The first process is frequently documented immediately post-fire and leads to the generation of debris flows through progressive bulking of storm runoff with sediment eroded from the hillslopes and channels. As sediment is incorporated into water, runoff can convert to debris flow. The conversion to debris flow may be observed at a position within a drainage network that appears to be controlled by threshold values of upslope contributing area and its gradient. At these locations, sufficient eroded material has been incorporated, relative to the volume of contributing surface runoff, to generate debris flows. Debris flows have also been generated from burned basins in response to increased runoff by water cascading over a steep, bedrock cliff, and incorporating material from readily erodible colluvium or channel bed. Post-fire debris flows have also been generated by infiltration-triggered landslide failures which then mobilize into debris flows. However, only 12% of documented cases exhibited this process. When they do occur, the landslide failures range in thickness from a few tens of centimeters to more than 6 m, and generally involve the soil and colluvium-mantled hillslopes. Surficial landslide failures in burned areas most frequently occur in response to prolonged periods of storm rainfall, or prolonged rainfall in combination with rapid snowmelt or rain-on-snow events.     

Recognition of debris flow,debris flood and flood hazard through watershed morphometrics

Debris flows, debris floods and floods in mountainous areas are responsible for loss of life and damage to infrastructure, making it important to recognize these hazards in the early stage of planning land developments. Detailed terrain information is seldom available and basic watershed morphometrics must be used for hazard identification. An existing model uses watershed area and relief (the Melton ratio) to differentiate watersheds prone to flooding from those subject to debris flows and debris floods. However, the hazards related to debris flows and debris floods are not the same, requiring further differentiation. Here, we demonstrate that a model using watershed length combined with the Melton ratio can be used to differentiate debris-flow and debris-flood prone watersheds. This model was tested on 65 alluvial and colluvial fans in west central British Columbia, Canada, that were examined in the field. The model correctly identified 92% of the debris-flow, 83% of the debris-flood, and 88% of the flood watersheds. With adaptation for different regional conditions, the use of basic watershed morphometrics could assist land managers, scientists, and engineers with the identification of hydrogeomorphic hazards on fans elsewhere.     

金沙江流域不同区域水沙变化特征及原因分析

在金沙江流域水文站控制的不同区间的水文资料和降水量资料,以及大量的长江上游水土流失重点防治区小流域综合防治工程(简称"长治"工程)拦沙减蚀量、水库拦沙量资料的基础上,对金沙江流域各水文站控制的不同区间、不同时段的来水来沙变化特征及其变化原因进行了定量分析.结果表明,金沙江流域水沙在地区分布上有明显的水沙异源特性,不同区间水沙变化特征存在很大的差异,降水/径流变化引起的沙量变化、水库拦沙、"长治"工程减沙在不同区间起着不同的作用.金沙江攀枝花以上地区以冻融侵蚀和坡面侵蚀为主,年产沙量仅0.521亿t,输沙模数200 t/(km2·a),但增沙的趋势较明显;攀枝花至屏山区间新构造运动剧烈,断层发育,岩层松软破碎,地形陡峻,植被稀少,以重力侵蚀为主,年产沙量1.58亿t,输沙模数达2 200 t/(km2·a),1991-2000年来沙量增加,2001-2004年来沙量大幅度减小.     

加权距离判别法在泥石流危险度评价中的应用

将加权距离判别法引用到泥石流危险度分类中,建立了泥石流危险度分类模型。该模型选用了流域面积、主沟长度、流域最大相对高差、流域切割密度、主沟床弯曲系数、人口密度、泥沙补给长度比、植被覆盖率、一次泥石流（可能）最大冲出量和泥石流发生频率10项指标为建模参数,运用熵值法对这10个指标进行赋权,用已经分类的泥石流沟作为训练样本进行学习,建立了相应的判别准则。将待判泥石流沟样本代入判别准则进行判别分类,分类结果与传统分类结果100%吻合,验证了该模型的分类性能良好。该方法可以在实际工程中进行推广。     

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。