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1.
以北京军都山区实测泥石流沟谷数为基准,基于因子叠加、信息量模型和FCM-粗糙集三种方法,分别获得了泥石流灾害发生的危险性等级分布,结果表明:①各分区单位面积内泥石流沟谷数都随着危险性评价等级的提高而增多;②因子叠加法和信息量模型法可得出五级泥石流灾害危险性分级,而粗糙集法只得出三级分级;③以实际泥石流沟谷落在评价区数目为标准,信息量模型法有90%以上的泥石流沟谷在危险性高和极高区域;粗糙集法得到危险区域覆盖了63.72%的泥石流沟谷分布;④从单位面积泥石流沟谷数与泥石流沟谷分布比率可得,信息量模型法评价精度较高,因子叠加法没有形成良好的梯度,而粗糙集法计算等级结果与其他方法存在差异,故须在其他区域进行进一步研究。 相似文献
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基于GIS技术的泥石流风险评价研究 总被引：49，自引：15，他引：49
为了满足对自然灾害预测不断增长的紧迫要求，泥石流风险评价成为帮助决策过程重要的基础工具之一。即使泥石流风险性各组分的评价很困难，但地理信息系统可辅助提出这种风险性制图的有关方法。我们以云南省为研究区，选取6个成因因子参与泥石流危险度敏感性分析，通过将研究区易损性评价图与危险性评价图叠加分析，编制出云南省泥石流风险评价图。该图描述了在现有自然条件和人类活动下的泥石流风险敏感区。研究成果为全面反映灾情，确定减灾目标，优化防御措施，进行减灾决策提供了重要依据。 相似文献
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横断山区泥石流空间格局和激发雨量分异性研究 总被引：2，自引：1，他引：2
地形、降雨等环境因子决定了泥石流的时空分布特征,理解泥石流与这些因子的关系有助于区域泥石流灾害风险评估与防灾减灾工作。以横断山区为研究区域,选取降水、气候、地貌、地质、土地覆盖、土壤厚度、高差势能以及湿度指数等因子,利用地理探测器和灰度关联分析等方法,探讨了环境因子与泥石流沟空间分布的关系以及降水特征与泥石流灾害的时间关联性。结果表明,湿度指数是决定泥石流沟空间格局的最主要因子,其次是高差势能和土壤厚度,多年平均分布的降水特征对泥石流沟分布的影响较小。泥石流灾害事件与降水特征的时间关联具有较大的区域异质性。泥石流发生地的激发雨量、湿度指数、高差及土壤厚度的统计分布在不同地貌、地质和气候单元中有明显差异。这表明泥石流预警不仅需要考虑雨量等激发因子,还必须考虑其他影响因素的空间差异性。 相似文献
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在泥石流危险度评价中，泥石流的规模和频率通常被视为最重要的两个特征因子，但在区域性的研究中，两者之间的关系并没有充分地表现出来。利用蒋家沟的大量观测数据，对流量、径流量这两个最能反映泥石流规模的参数，进行统计分析，分析流量与径流量的分布特征，从一个侧面反映泥石流规模和频率之间的关系。结果表明，尽管频率随流量和径流量规模的增大而减小，但在定量上，不同事件之间存在明显的差异，这是由泥石流的自身特征决定的，因而分布特征也反映了泥石流活动的本质。 相似文献
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泥石流灾害水文气象联合预报 总被引：1，自引：0，他引：1
由于降雨型泥石流是我国泥石流灾害的主要类型,所以以往对泥石流灾害的预测预报主要通过对雨量数据的分析来实现。但是由于雨量站记录雨量和灾害发生雨量并不一致,这就极大的影响了单纯依赖雨量数据预测预报的准确性。在分析环境因素影响的基础上,将水文和气象资料结合起来,用于泥石流灾害的预测预报。通过比较灾害发生前、发生时和发生后的河流洪峰流量、日降雨量和小时降雨量,发现洪峰流量和小时降雨量对灾害发生有很好的指示作用。经过在辽宁省岫岩满族自治县的试验,得到洪峰流量1 800 m3/s和小时降雨量50~60 mm这两个该县泥石流灾害发生临界值。结果表明水文和气象资料的联合应用,会大大改进泥石流灾害的预测预报效果。 相似文献
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泥石流风险管理和土地规划 总被引：3，自引：2，他引：3
泥石流风险定量表达为泥石流危险度和泥石流易损度的乘积。泥石流风险管理的目的是降低风险或转移风险。泥石流风险管理主要有三种途径：降低危险度，降低易损度和灾害保险。在泥石流风险管理的实际操作中，往往要标本兼治，三管齐下，采取降低风险和转移风险的综合措施。泥石流风险与土地规划关系密切，风险评价可为泥石流易发地区的土地可持续利用提供科学决策的依据。 相似文献
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泥石流易发区灾害可接受程度对比研究 ——以云南东川和甘肃舟曲为例 总被引：1，自引：0，他引：1
以云南东川和甘肃舟曲两个泥石流易发区为例,通过问卷调查和统计分析,对比两地区公众对泥石流灾害后果关注程度和对泥石流灾害可接受程度及其影响因素的异同。研究结果表明：① 东川公众最关注财产损失,舟曲公众最关注疾病发生,两地区公众对环境破坏和房屋损失的关注程度都较高。② 东川公众对泥石流灾害发生次数（简称次数）和每年愿意支付的防灾保险费用（简称保险费用）可接受程度高的人数百分比高于舟曲公众;舟曲公众对泥石流灾害提前预告时间（简称预告时间）、居住地到泥石流灾害点距离（简称距离）可接受程度高的人数百分比高于东川公众。③ 两地区公众对 “次数”的可接受程度最低,对“保险费用”的可接受程度最高,对“预告时间”和“距离”的可接受程度中等。④ 两地区公众对泥石流灾害可接受程度有共同影响的因素包括：年龄对“距离”的影响,性别对“次数”和“距离”的影响,文化程度对“预告时间”和“保险费用”的影响,收入对“次数”“距离”和“保险费用”的影响。其它影响泥石流可接受程度的因素,两地区公众各有差异。 相似文献
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In many mountainous areas, the rapid development of urbanisation and the limited space in the valley floors have created a need to construct buildings in zones potentially exposed to debris flow hazard. In these zones, a detailed and coherent hazard assessment is necessary to provide an adequate urban planning. This article presents a multidisciplinary procedure to evaluate the debris flow hazard at a local scale. Our four-step approach was successfully applied to five torrent catchments in the Principality of Andorra, located in the Pyrenees. The first step consisted of a comprehensive geomorphologic and geologic analysis providing an inventory map of the past debris flows, a magnitude–frequency relationship, and a geomorphologic–geologic map. These data were necessary to determine the potential initiation zones and volumes of future debris flows for each catchment. A susceptibility map and different scenarios were the principal outcome of the first step, as well as essential input data for the second step, the runout analysis. A one-dimensional numerical code was applied to analyse the scenarios previously defined. First, the critical channel sections in the fan area were evaluated, then the maximum runout of the debris flows on the fan was studied, and finally simplified intensity maps for each defined scenario were established. The third step of our hazard assessment was the hazard zonation and the compilation of all the results from the two previous steps in a final hazard map. The base of this hazard map was the hazard matrix, which combined the intensity of the debris flow with its probability of occurrence and determined a certain hazard degree. The fourth step referred to the hazard mitigation and included some recommendations for hazard reduction. In Andorra, this four-step approach is actually being applied to assess the debris flow hazard. The final hazard maps, at 1 : 2000 scale, provide an obligatory tool for local land use planning. Experience achieved during the study showed that the collaboration between geologists, geomorphologists, engineers, and decision makers is essential and that only a multidisciplinary approach allows for solving all the problems of such a complex process as debris flows. Finally, we propose that our approach may be applied to other mountainous areas, adapting the hazard matrix to new local conditions. 相似文献
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中国西南山区沟谷暴雨泥石流危险度判定的基本原理和方法 总被引：3，自引：0，他引：3
本研究提出了通用于沟谷暴雨泥石流危险度判定的三项基本原理:主次因子原理、因子权重原理和定量赋值原理。首次提出了泥石流危险度的多因子综合定量判定模式和计算公式,为我国西南(西北)山区沟谷暴雨泥石流灾害评估提供了较为先进的实用方法。在云南部分地区的判定检验和应用实践表明,本法具有60%以上的可靠度。可应用于我国西南(西北)山区一切有可能发生暴雨泥石流的自然沟谷和已确认的暴雨泥石流沟谷。 相似文献
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山洪泥石流风险评估与风险管理理论与方法 总被引：1，自引：1，他引：0
山洪泥石流是中国常见的自然灾害,充分认识其形成机制与潜在风险是防灾减灾的关键。本文阐述了山洪泥石流形成机理,以及风险分析与管理的方法和内容,系统认识了地表产流流量激增、土体破坏物质供给激增、沟道堵塞体级联溃决流量放大和动床侵蚀规模增大等4个山洪泥石流的形成过程,介绍了基于动力过程的山洪泥石流风险评估方法和承灾体易损性评估方法,构建了基于灾害动力过程的风险评估与风险制图方法。进而,基于风险评估结果,提出可用于具体灾害点减灾的风险管理内容和风险调控技术、灾害防治的工程与非工程措施与制技术方案。最后,重点讨论了包括灾害风险预测、临灾预案、灾害防治工程方案等内容的风险处置对策,并形成一套基于山洪泥石流动力过程的风险评估与风险管理理论与方法体系。 相似文献
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委内瑞拉1999年特大泥石流灾害 总被引：10，自引：2，他引：8
受娜尼拉现象的影响,１９９９－１２－１５～１６委内拉北部阿维拉册区加勒比海沿岸的８个州连降特大暴雨,造成山体大面积滑塌,数十条沟谷同时暴发大规模的泥石流。泥石流造成３万人死亡、经济损失高达１００亿美元,成为本基纪最严重的泥石流灾害,这次泥石汉灾害具有群发性、规模大、低频率和直接入海等特点,对这类泥石流进行泥石流成因、活动规律、预测预报、泥石流与异常气候现象关系和直接入海型泥石流运动规律,沉积特征、 相似文献
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广东省地质灾害较为常见,崩塌、滑坡、泥石流是其中比较严重的3种类型。基于现有的泥石流危险度评价原理和方法,建立了可用于广东省崩塌、滑坡、泥石流灾害危险性的评价模型。以全省88个县级评价单元为基础,根据崩塌、滑坡、泥石流灾害危险度评价结果,将广东省共分为3个危险等级区,其中高度危险区8个县,占总数的9.1%;中度危险区60个县,占总数的68.2%;低度危险区20个县,占总数的22.7%,据此制成广东省崩塌、滑坡、泥石流灾害危险等级图。高度危险区主要位于粤北山区,危险度数值介于0.6～0.72之间;中度危险区连片分布,是全省崩塌、滑坡、泥石流灾害的主体部分,危险度数值介于0.4～0.6之间;低度危险区集中分布在平原区及低平台地区,危险度数值介于0.31～0.4之间。采用1994―2009年广东省防灾减灾年鉴和广东省地质灾害防治规划(2001―2015年)中的统计数据,验证了本文的研究成果与实际情况具有较高的一致性。 相似文献
16.
According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN) real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system's performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention. 相似文献
17.
According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN)real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system′s performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention. 相似文献
18.
According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward.
The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow
torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification
indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard
zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified.
The key techniques of building the debris flow disaster neural network (NN) real time forecasting model are given detailed
explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit
layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster
real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters,
which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day,
the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of
the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and
hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow
disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware
are applied, which makes the system’s performance steady with good expansibility. The system is a visual information system
that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous
zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention. 相似文献
19.
泥石流沟判别与危险度评价研究 总被引：20，自引：0，他引：20
以云南泥石流形环境的区域调查为基础，提出了以１１项因素作为泥石流沟判别与危险度评价预测的背景参数，依据关联性序列分析确定了因素的权重分析，应用数量化理论建立了泥石流沟判别模式和危险度评价预测的计算方法，实际应用结果表明该法可靠、简便和实用，适用蚶类泥石流沟判定与危险度的评价预测。 相似文献