基于GIS的城市地震次生火灾危险性分析系统

以地理信息系统（GIS）为开发平台,研究了城市地震次生火灾危险性分析系统的基本构成与功能和系统的数据分层与组织,给出了地震次生火灾危险性分析模型及方法．以上海市中心城区为背景,开发了基于GIS的地震次生火灾危险性分析与火灾扑救辅助决策系统．     

村镇地震次生火灾危险性评价的探讨

地震次生火灾是村镇最易发生、最危险的地震次生灾害。结合我国村镇现状,分析了村镇地震次生火灾呈现起火点多、火灾蔓延迅速等特征,提出起火、蔓延的灾害链式演化模型。分析了单栋房屋起火、蔓延和房屋间火灾蔓延的指标及其计算方法,尝试给出了村镇地震次生火灾危险性评价模型。以某县城镇为例,评价了地震次生火灾危险性并进行了可视化展示。     

石化企业地震次生火灾评估

通过对地震次生灾害评估的介绍，以大连石化公司为例，详细介绍了石化企业地震次生火灾的特点及相应的评估方法，这一研究成果将为厂区的发展规划提供基础依据。     

基于模糊数学的震后建筑火灾危险性评估模型研究

震后建筑火灾涉及因素多,传统评估模型忽略了建筑截面温度变化与建筑形变程度的影响,导致评估准确度较低。为解决此问题,通过模糊数学方法建立震后建筑火灾危险性评估模型。在建立判断矩阵的基础上,获取评估模型权重,确定隶属度矩阵;通过确定震后建筑火灾后截面温度变化评估的因素集与评语集,进行单因素评判,为评估因素集中的因素赋予权重,实现一级模糊评估;再将一级评估结果作为二级评估的单因素评估,结合模糊数学分析完成对震后建筑火灾危险性的评估。实验中以建筑横梁截面温度变化与形变程度为指标,对震后建筑火灾危险性进行评估。实验结果表明,采用所提模型进行危险性评估,震后在发生火灾时建筑结构受到火灾影响,横梁截面温度越高,导致形变程度越大,危险性更高,模拟实验结果与实际情况更加接近,所提模型评估精度高。     

强震后既有建筑火灾危险性的模糊数学评估模型研究

在强烈地震发生后,会引发建筑火灾等次生灾害,涉及因素较多,传统火灾危险性数学模型忽略了强震后既有建筑发生火灾时不同因素的随机性与模糊性特性,难于建立健全的评估数学模型,导致评估精度低。为解决该问题,通过分析强震后既有建筑火灾影响,用因素模糊数学方法建立强震后既有建筑火灾危险性评估数学模型及评估体系。具体方法是对评估指标体系中各层因素针对上层因素影响进行评分,建立判断矩阵,获取权重。确定隶属度矩阵,获取强震后既有建筑火灾危险性评估的因素集与评语集,构造单因素评判,给评估集中的因素赋予权重,进行一级模糊评估。把一级评估结果当成二级评估的单因素评估,通过模糊数学理论完成对强震后既有建筑火灾危险性的评估,得到综合评估结果。实验结果表明,采用所提模型进行危险性评估,得到结果符合实际情况,与其他模型相比,所提模型评估精度高。     

地震次生火灾研究进展

由于双重灾种叠加，地震次生火灾曾经带来过巨大生命财产损失，并始终严重威胁人类社会。梳理历史上几次重大地震次生火灾情况，归纳地震次生火灾的成灾与蔓延研究成果，讨论现有研究成果中常用的分析手段和研究方法；从工程结构和装备设施，以及灾害区划单元两个层面总结分析了地震次生火灾的风险与损失评估研究成果；从民用建筑、油气化工设施、核电站、灾后安置点与林业等多个方面探讨地震次生火灾的预防和控制研究进展。采用文献计量学方法对近二十年以"地震次生火灾"为主题的中文文献进行统计，并分析研究热度与地震事件的联系。     

能源供应系统结构地震破坏导致的灾害相互作用研究

通过对以往能源供应系统地震灾害特点的分析和总结，发现各种灾害形式之间存在着相互作用的关系。研究弄清各种灾害是如何相互联系、相互作用的，就可以采取相应措施，控制灾害的发展。从分析石化系统火灾和爆炸的类型人手，重点进行了石化系统的地震火灾和爆炸相互作用方面的研究。研究结果表明，火灾会使储罐等石化设备自身材料强度下降，内部压力升高，极易引发爆炸；而爆炸产生的灼热碎片极易点燃周围的可燃物，引发新的火灾。     

GIS-based risk assessment of grassland fire disaster in western Jilin province, China

Grassland fire disasters have occurred frequently and adversely affected livestock agriculture and social-economic development greatly in the grassland regions of Jilin province, China. Moreover, both the frequency of grassland fire and loss from them are considered to be increasing with the global warming and economic development. This study presents a methodology for risk analysis and assessment of grassland fire disaster, taking western Jilin province as a case study area based on geographic information system (GIS). The composite grassland fire disaster risk index (GFDRI) combined the hazard of grassland fire, the exposure of the region, the vulnerability and emergency response and recovery capability for grassland fire disaster of the region were developed to assess and compare risk of grassland fire disaster in different counties in western Jilin province, China using the natural disaster risk index method (NDRIM), analytic hierarchy process (AHP) and weighted comprehensive method (WCM). Then, the risk degree of grassland fire disaster was assessed and regionalized in the western Jilin province, China based on GFDRI by using GIS. It is shown that the most places of western Jilin province were in mediate risk. Zhenlai, Tongyu were in heavy risk. Taobei, Ningjiang, Fuyu were in light risk. The information obtained from interviewing the district official committees in relation to result compiled was statistically evaluated. The GFDRI was developed to be an easily understandable tool that can be used to assess and compare the relative risk of grassland fire disaster in different counties in t western Jilin province, China, and to compare the different relative contributions of various factors, e.g., frequency of grassland fire and quality of emergency evacuation plan. The GFDRI is specifically intend to support local and national government agencies of grassland fire disaster management as they (1) make resource allocation decisions; (2) make high-level planning decisions; and (3) raise public awareness of grassland fire disaster risk, its causes, and ways to manage it.     

建筑物震后火灾发生与蔓延危险性分析的概率模型

本文探讨了建筑结构物震后可能发生的次生火灾的不确定性,给出分析的基本思路,提出了与建筑结构地震破坏状态相关的次生火灾发生和蔓延的危险性概率模型。通过对相关参数的初步量化分析,结合城市防灾工作中广泛使用的地理信息系统,给出了用于城市建筑物震后可能发生火灾或使火灾蔓延的危险性分析和次生火灾高危险区域的确定方法。     

earthquake disaster rapid assessment for emergency response supported by high-precision data of hazard bearing body

The earthquake disaster rapid assessment(EDRA)is the core technical support for the post-earthquake emergency response. At present, with the popularization of high-precision population, social and economic data, most of the subordinate units of China Earthquake Administration(CEA)have heightened the precision of hazard bearing body data used in EDRA from the original county-level precision to the 30″×30″ precision. However, while the precision of fundamental data has been heightened, no efforts have been made to improve the main algorithms and the technical process of EDRA. It turns out that the assessment has become more accurate, but the problems of the time-consuming process(10-20 minutes, probably 20 minutes or more in great earthquakes)and the low-precision losses distributions that exposed in EDRA supported by county-level precision data remain unresolved.This paper introduces the high-precision(30″×30″)hazard bearing body data, and describes the principle of EDRA and its implementation under the support of county-level precision data at first. Then the paper elaborates the principle of improving EDRA's data foundation using high-precision hazard bearing body data, the principle of improving the computation efficiency and persisting the data precision in the assessment process by means of the cell-to-cell grid algebraic operation, and the method for improving the assessment speed through the segmentation and reorganization of the technical process of EDRA.It is validated that through the improvements, the EDRA has become more accurate and much less time-consuming(less than 1 minute), and is able to output high-precision(30″×30″)distributions of seismic losses. The high-precision hazard bearing body data of wide range are the simulated data but not the survey data. Though the data have been simulated based on the census data, there is still a gap between their accuracy and the real situation. Further research and optimization on the data are needed.     

雄安新区地震危险性评估

地震危险性评估对确定工程抗震设防等级、制定城市规划与减轻地震灾害等具有重要意义.由于传统分析方法存在诸多缺陷,用其对特定区域进行地震危险性评估可靠性差.本文基于孕震断层多锁固段脆性破裂理论,提出了利用岩石破裂自相似性预测研究区标志性预震的方法,并进而创立了一种以地震物理预测为基础的地震危险性评估新方法.雄安新区位于唐山地震区内,近邻运城地震区.基于唐山和运城地震区地震趋势分析结果及主要断裂展布与雄安新区位置关系,在唐山地震区内划分了保定研究区,在运城地震区内划分了行唐和十渡研究区.采用上述方法,预测了这三个区将发生的较大预震.根据某些学者提出的地震烈度经验公式,评估了唐山地震区发生标志性地震、预震及运城地震区发生预震导致的雄安新区地震烈度.结果表明,未来50年内,雄安新区抗震设防烈度从原7度调整为8度为宜.

     

Effect of bed load supply on sediment transport in mountain streams

Mountain streams with their tributary torrents build the upper part of the fluvial network. They are important regarding the transfer of sediment from headwaters to lower basins. Channels are typically steep with wide grain size distributions, ranging from fine sand up to large boulders, and a stabilized bed surface. Mountain streams often are supply-limited with respect to mobile bed load, which needs to be addressed when bed load transport equations are applied to such streams. To better understand supply limitation, laboratory experiments highlighting the effect of bed load supply on incipient motion and bed load transport rate are discussed. Experimental tests were done in which fine bed load was supplied to a previously armored channel bed, with flow conditions ranging from one-third to twice the critical dis-charge for the bed surface. At flows not exceeding the critical discharge, the time series of the bed load transport rate at the downstream model boundary featured consistent patterns which are attributed to distinct phases: (i) a temporal lag, (ii) an equilibrium state, and (iii) a post-supply phase. Bed load transport occurred even at flows distinctly below that for incipient motion of the bed surface. But, with the mass of total bed load outflow approaching the supply amount, the mass did not exclusively consist of supplied grains. The coarser the supplied bed load, the more sediment was mobilized from the bed surface. At higher flows, processes differed. Total bed load outflow exceeded the supply amount and the break-up of the armor layer caused a refining of the bed surface.     

A comparison of intensity‐based demand distributions and the seismic demand hazard for seismic performance assessment

This paper compares the seismic demands obtained from an intensity‐based assessment, as conventionally considered in seismic design guidelines, with the seismic demand hazard. Intensity‐based assessments utilize the distribution of seismic demand from ground motions that have a specific value of some conditioning intensity measure, and the mean of this distribution is conventionally used in design verification. The seismic demand hazard provides the rate of exceedance of various seismic demand values and is obtained by integrating the distribution of seismic demand at multiple intensity levels with the seismic hazard curve. The seismic demand hazard is a more robust metric for quantifying seismic performance, because seismic demands from an intensity‐based assessment: (i) are not unique, with different values obtained using different conditioning intensity measures; and (ii) do not consider the possibility that demand values could be exceeded from different intensity ground motions. Empirical results, for a bridge‐foundation‐soil system, illustrate that the mean seismic demand from an intensity‐based assessment almost always underestimates the demand hazard value for the exceedance rate considered, on average by 17% and with a large variability. Furthermore, modification factors based on approximate theory are found to be unreliable. Adopting the maximum of the mean values from multiple intensity‐based assessments, with different conditional intensity measures, provides a less biased prediction of the seismic demand hazard value, but with still a large variability, and a proportional increase the required number of analyses. For an equivalent number of analyses, direct computation of the seismic demand hazard is a more logical choice and provides additional performance insight. Copyright © 2013 John Wiley & Sons, Ltd.     

On unified analysis of uncertainty in seismic hazard assessment

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Developing an Event Tree for probabilistic hazard and risk assessment at Vesuvius

Probabilistic characterizations of possible future eruptive scenarios at Vesuvius volcano are elaborated and organized within a risk-based framework. In the EXPLORIS project, a wide variety of topics relating to this basic problem have been pursued: updates of historical data, reinterpretation of previous geological field data and the collection of new fieldwork results, the development of novel numerical modelling codes and of risk assessment techniques have all been completed. To achieve coherence, many diverse strands of evidence had to be unified within a formalised structure, and linked together by expert knowledge. For this purpose, a Vesuvius ‘Event Tree’ (ET) was created to summarise in a numerical-graphical form, at different levels of detail, all the relative likelihoods relating to the genesis and style of eruption, development and nature of volcanic hazards, and the probabilities of occurrence of different volcanic risks in the next eruption crisis. The Event Tree formulation provides a logical pathway connecting generic probabilistic hazard assessment to quantitative risk evaluation. In order to achieve a complete parameterization for this all-inclusive approach, exhaustive hazard and risk models were needed, quantified with comprehensive uncertainty distributions for all factors involved, rather than simple ‘best-estimate’ or nominal values. Thus, a structured expert elicitation procedure was implemented to complement more traditional data analysis and interpretative approaches. The structure of the Vesuvius Event Tree is presented, and some of the data analysis findings and elicitation outcomes that have provided initial indicative probability distributions to be associated with each of its branches are summarized. The Event Tree extends from initiating volcanic eruption events and hazards right through to human impact and infrastructure consequences, with the complete tree and its parameterisation forming a quantitative synoptic framework for comprehensive hazard evaluation and mapping of risk impacts. The organization of the Event Tree allows easy updating, as and when new information becomes available.     

北京地区突发性地质灾害易发区划及危险度评价

本文在认真分析北京地区地质环境的主要特征及地质灾害发育现状基础上,对泥石流、采空塌陷以及崩滑塌等突发性灾害的发育特征、分布规律及其主要影响因素进行了深入地分析、研究和探讨。采用袭扰系数法,对区内突发性地质灾害的易发程度进行了综合评价预测,圈定出突发性地质灾害高易发区、中易发区、低易发区和不易发区。采用模糊综合评判模型,对影响地质灾害演变趋势的降雨条件、人类工程活动、地震活动以及区域岩组结构等因素进行了综合评判,并依据突发性地质灾害的易发区划结果及其主要影响因素的综合评判结果,对其演变的危险程度进行了评价,将北京地区划分出突发性地质灾害高风险区、中风险区以及低风险区。这对政府相关部门制定减灾防灾、资源开发、环境整治、经济建设和社会发展等规划具有一定的参考作用。