四川雅安市雨城区降雨诱发滑坡临界值初步研究

四川省雅安市雨城区位于四川盆地西部,素有"雨城"之称。地质灾害以滑坡为主,且有群发性、浅层、规模小、降雨诱发的特点。作者分析了雨城区大量历史滑坡和降雨量数据,结合雨城区滑坡发育特点,选择3日(72h)内发生2个以上滑坡的点作为统计分析样本,进行不同阶段降雨量耦合关系分析,应用滑坡前3日累计降雨量与3日前15日累计降雨量,建立了滑坡发生与降雨量的统计关系:在雨城区,当前期无降雨、3日累计降雨量达到70mm时,将有滑坡发生;15日累计降雨量达到339mm时,也将可能出现滑坡。     

四川雅安市雨城区地质灾害预警系统研究

区域地质灾害的敏感性评价与诱发因素评价是区域群发性地质灾害预警预报的基础。文中以四川雅安市雨城区为例,系统介绍了区域地质灾害预警预报的方法。在区域地质灾害敏感性评价及区域降雨监测的基础上,研究了降雨诱发区域群发性地质灾害的规律,得出了地质灾害降雨阈值。研究了降雨诱发地质灾害预警预报的方法,建立了大中比例尺的地质灾害预警预报系统,并在四川雅安雨城区开展了系统运行。文中论述的方法可以用于县(市)级的地质灾害预警预报工作。模拟运行及实际运行效果表明,本方法效果较好,能够在类似区域进行推广。     

降雨诱发区域性滑坡预报预警方法研究

论文以四川省雅安市雨城区为研究区，将逻辑回归模型引入区域降雨型滑坡预警预报，建立了同时考虑降雨强度和降雨过程的降雨临界值表达式。在滑坡危险性区划的基础上，研究提出了区域降雨型滑坡预警预报指标，包括临界值降雨指数R和滑坡发生指数L，并利用20台自动遥测雨量计和地质灾害群测群防网络，采用历史记录雨量和预报雨量，建立了区域降雨型滑坡预报预警体系。     

降雨入渗诱发黄土滑塌的模式及临界值初探

国内外对诱发滑坡的降雨阈值的研究多采用统计方法对历史滑坡和降雨量数据进行相关分析,而在分析过程中很少按降雨入渗诱发模式的不同进行分类.实际上,降雨临界值与被触发的滑坡类型紧密相关,不同模式的降雨可以触发不同类型和规模的滑坡,而不同类型的滑坡也“需要”不同的降雨临界值.本文以陕北黄土高原广泛发育的-种典型地质灾害-黄土滑塌作为研究对象,从定性分析降雨入渗的机理入手,探讨了不同入渗模式下雨水对滑塌的诱发作用,初步建立了缓慢下渗诱发型、下渗阻滞诱发型、下渗贯通诱发型三种降雨诱发黄土滑塌的模式.运用统计学的方法,对陕西北部地区25个县(市、区)1960年～2008年发生的有准确日期记录的227个黄土滑塌和降雨数据进行分类,建立了不同降雨入渗诱发类型下的黄土滑塌降雨临界值或预警值.     

滑坡频度-降雨量的分形关系

降雨-滑坡关系是对降雨引发的滑坡进行预报的一个重要基础。本文根据中国浙江省1990～2003年期间有明确日期和坐标记录的1414个滑坡数据和基本覆盖浙江全部陆地区域的1257个雨量站记录的日降雨量数据,研究了滑坡频度-降雨关系。研究结果表明,降雨引发滑坡的频度与降雨量之间遵循分形的幂指数关系,并且在两个尺度的降雨量范围内具有不同的标度指数。按照幂指数关系拟合的两条滑坡累计频度-降雨关系线交点(拐点)处的降雨量(Rin)指出了引发75%左右滑坡的累计降雨阀值的上边界(以THCR表示)。对1d、4d、6d和11d这4个累计降雨时段的研究表明,引发75%左右滑坡的累计降雨阀值分别为205mm(1d)、273mm(4d)、294mm(6d)、315mm(11d)。     

地质灾害气象预警区划方法研究——以湖北省巴东县为例

大气降雨是崩塌、滑坡、泥石流等地质灾害主要的诱发因素之一。本次研究依据多年的地质灾害监测资料和气象数据,经过筛选和分析,选取巴东县有时间记载的274处地质灾害(崩塌、滑坡、泥石流),其中209处地质灾害的发生与降雨有关,占总数的76.3%。本文通过随机选取其中61处地质灾害与降雨量资料,进行相关性分析,确定了巴东县突发性地质灾害发生的临界降雨量和有效过程降雨量,建立了地质灾害气象预警模型,完成了地质灾害气象预警区划,为巴东县政府做好地质灾害预警工作提供了科学的依据。     

漳州市山体滑坡主要影响因素分析

对漳州市区域内近十几年来所发生滑坡的地质灾害点进行调查研究,提出了漳州地区山体滑坡主要受地形、地质、气象和人类工程活动因素的综合影响。一般地形坡度在25°～50°,坡型为阶梯型、人工边坡无支挡,土质边坡坡度大于70°与坡高大于4m者,连续10d内降雨量在170mm以上,且日降雨量在100mm的强降雨时,发生滑坡的概率,达71.7%。故此,降雨量170mm以上、日降雨量大于或等于100mm时,可作为漳州市地质灾害预警预报的指标。     

建瓯地区滑坡与降雨量关系分析及其防治对策

依据建瓯地区滑坡和降雨量统计数据分析滑坡与降雨量之间的对应关系,并建立了降雨量与滑坡地质灾害之间的关系模型,随后根据降雨量与滑坡之间的关系模型进一步分析了降雨诱发滑坡的作用机理,提出了针对降雨引起滑坡的防治对策以及相关措施。     

江苏残坡积土质滑坡预警模型和判据研究

以江苏省典型的雪浪山残坡积土质滑坡为例,根据5个单次降雨过程中滑坡体土壤含水率动态确定了前期降雨影响的时间跨度为10 d和每日的有效降雨系数,在此基础上对传统的有效降雨量模型进行了修正。通过对38个残坡积土质滑坡实例的有效降雨量频次统计确定了3～5级滑坡预警的临界有效降雨量分别为50 mm、80 mm和170 mm,研究结果在2019年3次降雨过程中得到了验证。     

商城县地质灾害气象预警研究

绝大多数地质灾害由人类工程活动和降雨协同作用诱发,降雨是滑坡、崩塌、泥石流等地质灾害的主要激发因子,气象预报预警可有效预警滑坡、崩塌、泥石流等地质灾害。商城县滑坡、崩塌、泥石流地质灾害发育,以地质灾害易发性区划图为基础划分为4个地质灾害预警区。充分考虑降雨对地质灾害发生的影响,对重点预警区及次重点预警区采用临界日综合有效过程降雨量模型判据法,进行地质灾害气象预警预报。     

Analysis of the relationship of landslide occurrence with rainfall: a case study of Wudu County,China

Landslides are a significant hazard in many parts of the world and represent an important geohazard in China. Rainfall is the primary triggering agent for landslides and often used for prediction slope failures. However, the relationship between rainfall and landslide occurrences is very complex. Great efforts have been made on the study of regional rainfall-induced landslide forecasting models in recent years; still, there is no commonly accepted method for rainfall-induced landslide prediction. In this paper, the quantitative antecedent soil water status (ASWS) model is applied to investigate the influence of daily and antecedent rainfall on the triggering of landslides and debris flows. The study area is Wudu County in Gansu Province, an area which exhibits frequent landslide occurrences. The results demonstrate a significant influence of high intensity rainfall events on landslide triggering. Still, antecedent rainfall conditions are very important and once a threshold of approximately 20 mm is exceeded, landslides and debris flows can occur even without additional rainfall. The study presented could also facilitate the implementation of a regional forecasting scheme once additional validation has been carried out.     

千将坪滑坡三维极限平衡分析

千将坪滑坡位于长江南岸支流青干河左岸,是三峡水库蓄水一个月后发生的水库新生型滑坡。通过千将坪滑坡恢复到原貌,采用三维极限平衡法对滑坡的整体稳定性和失稳下滑的触发因素进行了分析,探讨了水库蓄水和连续降雨对滑坡稳定性的影响。计算分析成果表明,水库蓄水后的浸泡软化作用使滑坡体稳定条件急剧恶化,蓄水和强降雨的联合作用最终导致千将坪滑坡产生大规模深层滑动。     

Rainfall thresholds for the triggering of landslides considering previous soil moisture conditions (Asturias,NW Spain)

Given its geological and climatic conditions and its rugged orography, Asturias is one of the most landslide prone areas in the North of Spain. Most of the landslides occur during intense rainfall episodes. Thus, precipitation is considered the main triggering factor in the study area, reaching average annual values of 960 mm. Two main precipitation patterns are frequent: (i) long-lasting periods of moderate rainfall during autumn and winter and (ii) heavy short rainfall episodes during spring and early summer. In the present work, soil moisture conditions in the locations of 84 landslides are analysed during two rainfall episodes, which represent the most common precipitation patterns: October–November 2008 and June 2010. Empirical data allowed the definition of available water capacity percentages of 99–100% as critical soil moisture conditions for the landslide triggering. Intensity-duration rainfall thresholds were calculated for each episode, considering the periods with sustained high soil moisture levels before the occurrence of each analysed landslide event. For this purpose, data from daily water balance models and weather stations were used. An inverse relationship between the duration of the precipitation and its intensity, consistent with published intensity-duration thresholds, was observed, showing relevant seasonal differences.     

Rainfall thresholds for prediction of shallow landslides around Chamoli-Joshimath region,Garhwal Himalayas,India

Majority of landslides in the Indian sub-continent are triggered by rainfall. Several attempts in the global scenario have been made to establish rainfall thresholds in terms of intensity-duration and antecedent rainfall models on global, regional and local scales for the occurrence of landslides. However, in the context of the Indian Himalayas, the rainfall thresholds for landslide occurrences are not yet understood fully. Neither on regional scale nor on local scale, establishing such rainfall thresholds for landslide occurrences in Indian Himalayas has yet been attempted. This paper presents an attempt towards deriving local rainfall thresholds for landslides based on daily rainfall data in and around Chamoli-Joshimath region of the Garhwal Himalayas, India. Around 128 landslides taken place in last 4 years from 2009 to 2012 have been studied to derive rainfall thresholds. Out of 128 landslides, however, rainfall events pertaining to 81 landslides were analysed to yield an empirical intensity–duration threshold for landslide occurrences. The rainfall threshold relationship fitted to the lower boundary of the landslide triggering rainfall events is I?=?1.82 D ^?0.23 (I?=?rainfall intensity in millimeters per hour and D?=?duration in hours). It is revealed that for rainfall events of shorter duration (≤24 h) with a rainfall intensity of 0.87 mm/h, the risk of landslide occurrence in this part of the terrain is expected to be high. Also, the role of antecedent rainfall in causing landslides was analysed by considering daily rainfall at failure and different period cumulative rainfall prior to failure considering all 128 landslides. It is observed that a minimum 10-day antecedent rainfall of 55 mm and a 20-day antecedent rainfall of 185 mm are required for the initiation of landslides in this area. These rainfall thresholds presented in this paper may be improved with the hourly rainfall data vis-à-vis landslide occurrences and also data of later years. However, these thresholds may be used in landslide warning systems for this particular region of the Garhwal Himalayas to guide the traffic and provide safety to the tourists travelling along this pilgrim route during monsoon seasons.     

The March 25 and 29, 2016 landslide-induced debris flow at Clapar,Banjarnegara, Central Java

The Clapar landslide induced debris flow consisted of the Clapar landslide occurred on 24 March 2017 and the Clapar debris flow occurred on 29 March 2017. The first investigation of the Clapar landslide induced debris flow was carried out two months after the disaster. It was followed by UAV mapping, extensive interviews, newspaper compilation, visual observation and field measurements, and video analysis in order to understand chronology and triggering mechanism of the landslide induced debris flow in Clapar. The 24 March 2016 landslide occurred after 5 hours of consecutive rainfall (11,2 mm) and was affected by combination of fishponds leak and infiltration of antecedent rain. After five days of the Clapar landslide, landslide partially mobilized to form debris flow where the head scarp of debris flow was located at the foot of the 24 March 2016 landslide. The Clapar debris flow occurred when there was no rainfall. It was not generated by rainstorm or the surface erosion of the river bed, but rather by water infiltration through the crack formed on the toe of the 24 March 2016 landslide. Supply of water to the marine clay deposit might have increased pore water pressure and mobilized the soil layer above. The amount of water accumulated in the temporary pond at the main body of the 24 March 2016 landslide might have also triggered the Clapar debris flow. The area of Clapar landslide still shows the possibility of further retrogression of the landslide body which may induce another debris flow. Understanding precursory factors triggering landslides and debris flows in Banjarnegara based on data from monitoring systems and laboratory experiments is essential to minimize the risk of future landslide.     

降雨引发的兰州黄土滑坡时空规律分析和临界降雨量预测

开展降雨型黄土滑坡预警对于区域性防治滑坡具有重要意义。本研究在收集1985~2015年兰州市降雨型黄土滑坡历史数据的基础上,运用反距离权重插值(IDW)和核密度估算(KDE)方法揭示了降雨引发黄土滑坡的时空分布规律。该文基于统计学的基本原理,运用相关性和偏相关性等方法建立适合兰州市的有效降雨量模型。通过拟合有效降雨量与滑坡因子的线性回归关系,确定引发黄土滑坡的临界降雨量阈值,设定兰州市黄土滑坡的降雨量危险性预警等级。研究表明:(1)兰州市黄土滑坡灾害点沿着黄河及其支流沿岸分布,城关区滑坡点最多且呈环形分布,西固区次之,其他地区分布较少;(2)降雨是兰州市及其周边地区黄土滑坡的关键诱因,10d有效降雨量与滑坡因子均呈现显著正相关特性,其相关系数达到0.698;(3)依据10mm、20mm和40mm临界降雨量阈值将预警等级划分为低、中、高3个危险性等级。     

降雨及库水位联合作用下秭归八字门滑坡稳定性预测

针对三峡库区库水位调控方案和极端降雨情况,对秭归县八字门滑坡稳定性分析设置了10种计算工况,采用SEEP/W软件模拟该滑坡在降雨入渗及库水位联合作用下的暂态渗流场,并利用SLOPE/W软件,将暂态孔隙水压力分布用于该滑坡的极限平衡分析中,确定不同工况下（不同降雨强度）的滑坡稳定性系数,据此采用降雨量对该滑坡进行失稳预测。研究认为：150 mm/d以上的降雨量对该滑坡影响较大,降雨入渗具有滞后性;在相同的降雨量情况下,1 d的降雨强度比5 d的连续降雨对滑坡体的稳定性影响更明显;在水位从175 m降至145 m的过程中,临界雨量为100 mm/d时,滑坡就可能失稳;水位从145 m升至175 m的过程中和175 mm稳定水位时,当临界雨量为200 mm/d时,滑坡才可能失稳,即水位骤降过程中滑坡失稳概率大。不同工况下的滑坡土体含水率分析结果表明,降雨影响的主要是上部土体,下部土体含水率受控于地下水位,即降雨更容易引起浅层滑坡与局部滑坡     

Report on a recent deep-seated landslide at G��rov�� Mt., Czech Republic, triggered by a heavy rainfall: The G��rov�� Mt., Outer West Carpathians; Czech Republic

A large deep-seated landslide, triggered by a heavy rainfall, activated early in the morning on May 19, 2010 along the SW slope of Gírová Mt., NE Czech Republic. The landslide occurred within a zone of pre-existing deep-seated gravitational deformation, and it was accompanied with pronounced ground liquefying in the central and lower portion of the sliding mass. The precipitation that triggered the landslide was about 244.6 mm that fell between May 15th and 18th with an average of 61 mm/day. No properties or lives were lost. However, the landslide provided a good case study on triggering factors and process of liquefaction at mountain slopes in the E Czech Republic and adjacent areas.     

四川省盐源玻璃村特大型玄武岩古滑坡复活机制

受前期14 d持续累计350.6 mm降雨影响,2018年7月19日盐源玻璃村一巨型玄武岩古滑坡体发生大规模复活,复活体积为1 390×104 m3,损坏房屋186间,造成重大经济损失。基于现场调查、无人机航测、钻探揭露、物理力学试验及数值模拟分析,在查明滑坡体地质结构、失稳特征基础上,对其影响因素及复活机制进行了探讨。研究结果表明,破碎岩土体及地形地貌是滑坡复活的孕灾基础,持续降雨及其引起的地下水位升高是滑坡复活的诱发因素。复活滑坡可分为主滑区和侧滑区两种破坏模式不同的区域。降雨作用下滑坡体内渗流场明显变化,孔隙水压力增大,导致7月13日古滑坡体开始发生变形,稳定性系数逐渐降低。受微地貌约束,主滑区具有多级、多次失稳,渐进破坏的特点。侧滑区斜坡前缘临空条件受坡脚主滑坡控制,在主滑坡运动过程中,侧滑区坡体位移量、最大剪切应变增量逐渐增大,塑性区扩展,破坏过程表现出与主滑坡一定的关联性和滞后性。分析表明,受地下水长期影响,滑带土体强度逐渐削弱,降雨导致坡体渗流作用加剧,抗剪强度降低,从而诱发滑坡复活。     

The February 2010 large landslide at Maierato, Vibo Valentia, Southern Italy

A large landslide formed at Maierato (Vibo Valencia District), Southern Italy, on 15 February 2010, at 1430?hours local time, when rapid failure occurred after several days of preliminary movements. The landslide has an area of 0.3?km², a runout distance of 1.2?km and an estimated volume of about 10?Mm³. The landslide caused nearly 2,300 inhabitants to be evacuated, with high economic losses. The most probable trigger of the landslide was the cumulative precipitation over the preceding 20?days (having a return period of more than 100?years), which followed a long period of 4?C5?months of heavy rainfall (of about 150% of the average rainfall of the period). This report presents a summary of our findings pertinent to the landslide??s activities based on our field investigations. In particular, this report covers (1) details of land deformation caused by the landslide, (2) geology pertinent to landslide development, (3) identification of the landslide mechanism and its triggering factors based on the analysis of the boring core specimens and landform features, as well as the available video of the event, and (4) preliminary evaluation of the stability of the original slope before the landslide using the finite element-based shear strength reduction method. The aim of the paper was to describe the landslide and explain its mechanism of occurrence.