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城市山洪灾害风险评价——以云南省文山县城为例 总被引：1，自引：1，他引：1
山洪灾害风险评价对于减灾防灾决策和管理非常重要。本文介绍基于遥感和GIS方法的应用,探讨一种快速、简便而且较为准确的城市山洪灾害风险评价方法。以发生于1998年7月26日文山城20年一遇山洪灾害为实例,将GIS的数字高程模型与实测的山洪水位和洪峰流量结合进行淹没分析,研究表明采用该方法可以模拟准确山洪泛滥范围,并计算淹没水深分布。根据不同水深指标,应用GIS工具完成了山洪灾害危险分区。本研究利用高分辨率遥感影像提供承灾体类型的可靠和准确数据用于易损性分析和期望损失评估的价值计算。根据典型区财产损失的抽样调查,建立了不同承灾体类型与水深的关系,并确定其损失率;应用GIS空间数据处理和分析的集成方法完成了复杂的损失评估。在此基础上,按期望损失程度进行分区划分而完成山洪风险评价。研究结果表明基于GIS和RS方法进行山洪风险评价效果良好,值得推广应用于其他洪水泛滥区。 相似文献
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区域洪水灾害风险格局演变分析——以马来西亚吉兰丹州为例 总被引：3，自引：1，他引：2
准确了解区域洪水灾害风险演变状况及规律,对于洪水灾害预警与管理具有重要意义。本文利用1990年和2000年洪水灾害风险等级数据和风险指数数据,分析了10年来区域洪水灾害风险演变规律。研究表明:(1)1990~2000年10年之间,研究区的洪水灾害风险在空间分布格局及时间演变过程上都发生了显著变化。(2)高风险区与较高风险区的面积在增加,较低风险区、中等风险区的面积在逐渐减少,这是区域洪水灾害风险等级结构变化最突出的特征。(3)区域洪水灾害风险等级之间的不对等转化是各种风险等级结构特征发生实质性变化的主要原因。(4)2000年区域洪水灾害风险较1990年高,整个区域洪水灾害风险在增加,但局部地区洪水灾害风险变化不一。(5)区域洪水灾害风险演变的本质就是风险等级类型结构和功能的自组织,对于揭示洪水灾害演变的普遍现象和机制具有重要意义。 相似文献
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房地产投资方向空间决策支持系统预设计 总被引：1，自引：0，他引：1
引入地理信息系统(GIS)技术、空间决策支持技术、系统集成技术等,运用基于知识的决策支持系统技术,利用地理信息系统数据采集、存储、管理、处理、检索、分析、图形与交互显示功能对房地产投资方向作可行性研究,旨在建立一个能确定最佳投资方向或土地利用变化趋势的房地产投资方向空间决策支持系统. 相似文献
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J.-P. de Almeida J.G. Morley I.J. Dowman 《International journal of geographical information science》2013,27(8):1514-1529
Interpretation and analysis of urban topology are particularly challenging tasks given the complex spatial pattern of the urban elements, and hence their automation is especially needed. In terms of the urban scene meaning, the starting point in this study is unstructured geospatial data, i.e. no prior knowledge of the geospatial entities is assumed. Translating these data into more meaningful homogeneous regions can be achieved by detecting geographic features within the initial random collection of geospatial objects, and then by grouping them according to their spatial arrangement. The techniques applied to achieve this are those of graph theory applied to urban topology analysis within GIS environment. This article focuses primarily on the implementation and algorithmic design of a methodology to define and make urban topology explicit. Conceptually, such procedure analyses and interprets geospatial object arrangements in terms of the extension of the standard notion of the topological relation of adjacency to that of containment: the so-called ‘containment-first search’. LiDAR data were used as an example scenario for development and test purposes. 相似文献
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Geospatial data and tools are key in locating lost or missing persons in as short a time as possible. In this study, we used a geographic information system (GIS) to analyze four years of search and rescue (SAR) mission data from Colorado to determine the appropriate use of GIS for volunteer-based SAR organizations with limited resources and GIS expertise. GIS can provide more sophisticated analyses of geospatial data than simple mapping technologies, but our findings indicated that complex spatial analysis might not be required on all missions, because the majority of missions were completed within six to ten hours. Instead, new technologies such as tablets with mapping software and online GIS systems that provide quick and easy access to up-to-date geospatial data such as imagery offer capabilities that could improve mission planning. Here we provide a framework in which SAR missions can apply geospatial technologies to aid with missions, identify critical “hotspots,” and enhance postanalysis and training. The work here is highly applicable for nonprofit SAR groups when deciding on what GIS technologies to consider for their areas. 相似文献
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随着全球气候变化的加剧和城市化进程的快速发展,洪涝灾害的影响和复杂性日益加剧。洪涝灾害风险评估是一项复杂的系统工程,在防洪减灾工程理论与实践中具有重要意义;作为洪涝灾害风险管理和应急处置的基础和核心,风险评估模型直接影响洪涝灾害风险评估结果的可靠性。洪涝灾害风险是洪涝灾害复杂系统组成部分相互作用的结果,综合考虑洪涝灾害系统的特点以及智能体建模的优势,提出了一种基于多智能体的洪涝风险动态评估理论模型。首先从复杂系统建模的角度出发,对洪涝灾害复杂系统进行分析建模,构建基于多智能体的洪涝灾害风险动态评估框架模型;其次,对所构建的框架模型中单个智能体模型进行研究,分别建立基于反应型的孕灾环境智能体模型和基于慎思型的致灾因子、承灾体和风险分析智能体模型,并对以上单个智能体的流程进行研究;然后以风险分析智能体联盟为例对模型框架中所涉及到4类智能体联盟的内部结构和流程进行分析,对构建的框架模型中涉及到的智能体通信协调和作用规则进行探讨;最后,在Netlogo平台上,基于30 m DEM数据和构建的模型,对淮河流域的暴雨型洪涝孕育发生发展全过程的人口风险进行动态评估。结果表明,构建的模型能有效评估洪涝灾害全过程中人口风险的动态。研究结果对洪涝灾害人口灾情评估、应急救助和应急管理都具有较强的指导意义。 相似文献
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Hispanic Immigrants' Vulnerabilities to Flood and Hurricane Hazards in Two United States Metropolitan Areas 
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下载免费PDF全文 Research reveals that disasters are disproportionately debilitating for marginalized social groups. Numerous studies have examined racial/ethnic dimensions of disaster vulnerability, but few have focused on Hispanic immigrants. More research on Hispanic immigrants is needed, since they constitute a major component of the Hispanic population—the largest and fastest‐growing minority group in the U.S.—and because they experience distinctive cultural and immigration status disadvantages. We examine the flood/hurricane vulnerabilities of Hispanic immigrants in comparison to U.S.–born Hispanics and non‐Hispanic whites. Using mixed methods to analyze data from 429 surveys and 31 interviews with residents living in flood zones, we examine differences in self‐protective action, risk perception, and hazard knowledge between the three groups in Houston and Miami. Hispanic immigrants exhibited lower levels of self‐protection and hazard knowledge, and higher perceptions of risk, which reflects their heightened vulnerability. Risk‐reduction programs should target the particular vulnerabilities of Hispanic immigrants, and future studies should examine their vulnerabilities in other contexts. 相似文献
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以山洪灾害风险评价的多准则决策模型、最大熵模型、信息量模型三种常见模型为研究对象,选取河西走廊和张掖市为地理区划（大中）、市域（小）空间尺度研究区,构建山洪灾害风险评价指标体系,分别完成基于三种模型的两种空间尺度的山洪灾害风险评价制图,基于甘肃省地质灾害调查与区划报告数据从模型验证、空间自相关、精度对比和尺度效应等角度对比分析三个模型应用于不同空间尺度的适应性,并给出优选模型。结果表明：最大熵模型是河西走廊（地理区划）空间尺度上山洪灾害风险评价的优选模型;多准则决策模型不适用于张掖市（市域）空间尺度评价,且三个模型运行结果均没有河西走廊（地理区划）空间尺度上表现良好;三个模型的尺度效应明显,在地理区划空间尺度上应用较良好,缩小至市域空间尺度上模拟结果误差增大;不同空间尺度上,最大熵模型均优于多准则决策模型和信息量模型,适用于地理区划（大中）、市域（小）空间尺度的山洪灾害风险评价。 相似文献
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After the Wenchuan earthquake in China, debris flows have been more frequent. Multiple debris flows commonly occur in earthquake-affected areas during heavy rainfall, often causing losses of lives and property. We analyzed the dynamic movement of debris flows and proposed a quantitative method of debris flow hazard assessment, based on kinetic energy. Validated using field study of an actual debris flow disaster, these analyzes help determine the type, quantity, distribution, economic worth, and susceptibility of elements at risk. We established a method to determine vulnerability of elements at risk and we propose a systematic and quantitative method for local risk analysis of debris flows. We applied the proposed method to a debris flow in Qipan gully, which caused serious damages for Duwen Highway and Qipan settlements of Sichuan Province in 2013. With the support of a debris-flow movement numerical simulation, remote sensing, and GIS techniques, the proposed method analyzed disaster effects and divided the hazardous areas into three risk zones. Calculated risk zones coincided with the actual distribution and severity of damage of the event, suggesting that the risk assessment generated by the proposed method is consistent with results from the actual disaster. 相似文献
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京津冀地区县域单元地质灾害风险评估 总被引：5，自引：3，他引：2
以京津冀地区为例,探索县域单元的地质灾害风险评估方法。通过测算地质灾害危险性与承灾体易损性,以定性综合评估的方式实现县域单元地质灾害风险评估。实际评估中,将承灾体易损性分为人口安全易损性与资产易损性,分别用因灾死亡人口比与因灾直接经济损失比加以表征;再以国土资源部2001-2015年地质灾害灾情数据为基础,参考1950-2000年灾情数据,提出人口安全易损性与资产易损性的分级标准,并在京津冀地区进行了评估。结果表明：研究区整体地质灾害风险低,204个评估单元中仅有6个为中风险区,包括河北省涞源县、涞水县、武安市、青龙满族自治县、北京石景山区、延庆区,其余198个为低风险区,与实际情况相符。此方法快捷简便、数据可连续获取,符合建立资源环境承载能力监测预警机制要求。空间差异化评估结果可为主动防灾减灾、国土空间管理提供支撑。 相似文献
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基于层次分析法与GIS相结合的岩溶塌陷地质灾害易发性分区评估——以云南省师宗县为例 总被引：2，自引：0，他引：2
以岩溶地貌发育的云南省师宗县作为研究实例,通过层次分析法确定岩溶塌陷评估因子及其权重值,并划分岩溶塌陷评估因子的等级.在此基础上,利用GIS空间分析技术对岩溶塌陷空间数据进行处理和分析,按地质灾害综合危险性指数R值将研究区域划分为三大地质灾害易发程度不同的区域,并通过实例验证分析地质灾害综合危险性指数R值求取的可行性,实现了基于层次分析法与GIS技术相结合的云南省师宗县岩溶塌陷地质灾害易发性分区和评估.结果显示:师宗县岩溶塌陷高易发区(4≤R≤5)集中分布于研究区域的北部和中部,占总面积的39.22％;中 相似文献
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气候变暖背景下黄河流域干旱灾害风险空间特征 总被引：3，自引：1，他引：2
黄河流域是中国重要的经济带和经济增长极,也是人口密集暴露、特色农业种植和重点生态承载区。在全球变暖和极端降水事件频发的气候背景下,近年来黄河流域干旱灾害变化特征异常突出,新形势下该流域的干旱灾害风险及其对气候变化的响应机制需进一步深入认识。本文利用1960年以来黄河流域122个国家气象站逐日气象数据,结合遥感、社会统计和地理信息数据与技术,基于灾害风险理论,建立致灾因子危险性、孕灾环境脆弱性、承灾体易损性和防灾减灾能力可靠性4个因子的干旱灾害风险指标体系和模型,详细分析了黄河流域干旱灾害风险变化特征和区域差异性及其气候变化的影响机制。结果表明：黄河流域干旱灾害风险分布格局具有明显的地带性和复杂性,流域区域差异显著,总体是中下游风险高于上游,高风险区主要位于黄河流域中下游,致灾因子危险性是黄河流域干旱灾害风险的主导因子,其次是孕灾环境脆弱性和防灾减灾能力可靠性,而承灾体易损性贡献量相对最小。干旱灾害风险影响机制的区域差异也很显著,上游是孕灾环境脆弱性和防灾减灾能力可靠性的影响大于致灾因子和易损性,中游则是致灾因子、易损性和防灾减灾能力对干旱灾害风险的贡献度大,下游是干旱致灾因子起主导作用,致灾因子危险性和承灾体易损性控制了风险总体格局。黄河流域干旱灾害风险变化规律以及对气候变化的响应异常复杂,流域干旱灾害风险主要受季风气候和复杂地形的影响,还受社会经济发展水平、人口暴露度和水资源供需矛盾等多种要素的影响。该研究对黄河流域生态文明建设,粮食安全保障和国家发展战略具有重要意义。 相似文献
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洪涝灾害风险评估和区划研究对区域洪灾综合管理具有重要意义。以陕西省洪涝灾害气候背景和社会经济环境为基础,利用辖区内34个气象测站1954-2015年、月降水数据和2015年社会经济统计资料,运用自然灾害风险评估理论及方法,从致灾因子危险性、孕灾环境脆弱性、承灾体暴露性和防灾减灾能力4个子系统选取17个评价指标,建立洪涝灾害风险评价指标体系,借助GIS技术进行洪涝灾害风险评估和区划。结果表明：（1）陕西省洪涝灾害致灾因子危险性等级自北向南呈递增趋势,高和次高危险区分布在陕南地区和关中盆地西部。（2）孕灾环境脆弱性空间分布差异较大,高和次高脆弱区分布在榆林北部长城沿线各县、延安市区、关中盆地渭河沿岸主要区县、陕南汉中盆地和安康市区。（3）承灾体暴露性各区县分布不均,大部分市区和农业发达地区暴露程度较高。（4）城市和经济发达地区防灾减灾能力较高,其他地区相对较低。（5）陕西省洪涝灾害综合风险等级表征为陕南汉江谷地、丹江流域和关中盆地渭河沿岸区县偏高,其他区县相对偏低。总体来看,中等以上风险区县占陕西省所辖区县的61.54%,其中陕南汉江谷地、丹江流域、关中盆地西部和渭南市应为陕西省洪涝灾害防范的重点区域。 相似文献
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May Yuan 《Singapore journal of tropical geography》2021,42(1):13-30
The rise of Geographic Information Systems (GIS) technologies has been producing powerful tools for spatial data processing, management, analysis, modeling, and visualization. While supporting many tasks, GIS technologies have evoked new thinking and advanced intellectual inquiries in geography. Technological advances in other fields often stimulate new research questions and lead to revolutionary discoveries. The Hubble telescope revolutionizes our understanding of the universe, and 3D digital microscopes transform our knowledge of the coordination among biological, neurological, and physiological systems in living organisms. Can GIS claim similar revolutionary effects on geography? The answer is much up for debate. With GIS technologies, geographic studies can explore a broader extent across multiple scales in space and time and tackle problems through increasingly complex spatial statistics, visual analytics, computation, simulation, machine learning, and artificial intelligence. Both the Hubble telescope and 3D digital microscope were built based on scientific research that subserves the technological advances for inquiries into space and life systems. Likewise, GIScience research innovates GIS methods that enable novel geographic investigations and therefore contribute to geographic knowledge production. For the sake of simplicity, the term GIS used here represents both GIScience and GIS technologies. This essay attempts to clarify the intellectual contributions of GIS to geography on the following two questions: (1) What novel geographic thinking is driven by GIS? (2) How may GIS provoke new geographic inquiries and knowledge? Building on Nystuen's notion of four tensions that trigger geographic questions, the essay discusses how GIS innovations mediate historical tension, space‐time tension, dimensional tension and scale tensions. 相似文献
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基于GIS的区县级暴雨洪涝风险评估方法 总被引：1，自引：0，他引：1
在全球变暖大背景下,极端灾害性天气事件频繁发生,其中以暴雨洪涝灾害表现最为明显。文章基于灾害系统理论及风险评估原理,利用基础地理数据、气象数据、社会经济数据、历史灾情数据等,分别从致灾因子危险性、孕灾环境敏感性、承灾体易损性、防灾减灾能力4个评价指标,建立基于评价因子的暴雨洪涝风险评估模型,并指出区县级暴雨洪涝风险评估需要解决的重点问题包括数据空间化、气象数据的序列延长、参数的确定等。最后以暴雨洪涝多发地区福建省石狮市（县级市）为研究区,利用GIS技术生成100 m×100 m分辨率的致灾因子危险性空间分布图、孕灾环境敏感性空间分布图、承灾体易损性空间分布图、防灾减灾能力空间分布图、暴雨洪涝风险评估空间分布图。结果显示：风险最高地区主要位于湖滨街道和凤里街道;其次是祥芝镇东部和西部,灵秀镇大部份地区、蚶江镇中南部、宝盖镇中南部和锦尚镇大部分地区;风险较低的地区主要是蚶江镇北部、宝盖镇北部和永宁镇大部分地区。 相似文献
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天津市滨海地区地面沉降灾害风险评估与区划 总被引：8，自引：2，他引：6
文章对1985~2006年累计地面沉降量及近几年地面沉降速率进行分析和叠加评价,完成天津市滨海地区地面沉降灾害危险性分区图;以人口密度和单位面积GDP为指标进行易损性分析;从每km2水准测量km数和地下水压采量占开采量百分比两方面考虑防灾减灾能力;在此基础上,借助GIS空间分析方法,将危险性分区图、易损性分区图和防灾减灾能力分区图进行叠加分析,完成天津市滨海地区地面沉降灾害风险区划图,分为低风险区、较低风险区、中等风险区、较高风险区、高风险区5等。 相似文献
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Lian-Fa Li Jin-Feng Wang Hareton Leung 《International journal of geographical information science》2013,27(12):1759-1784
Vulnerability refers to the degree of an individual subject to the damage arising from a catastrophic disaster. It is affected by multiple indicators that include hazard intensity, environment, and individual characteristics. The traditional area aggregate approach does not differentiate the individuals exposed to the disaster. In this article, we propose a new solution of modeling vulnerability. Our strategy is to use spatial analysis and Bayesian network (BN) to model vulnerability and make insurance pricing in a spatially explicit manner. Spatial analysis is employed to preprocess the data, for example kernel density analysis (KDA) is employed to quantify the influence of geo-features on catastrophic risk and relate such influence to spatial distance. BN provides a consistent platform to integrate a variety of indicators including those extracted by spatial analysis techniques to model uncertainty of vulnerability. Our approach can differentiate attributes of different individuals at a finer scale, integrate quantitative indicators from multiple-sources, and evaluate the vulnerability even with missing data. In the pilot study case of seismic risk, our approach obtains a spatially located result of vulnerability and makes an insurance price at a finer scale for the insured buildings. The result obtained with our method is informative for decision-makers to make a spatially located planning of buildings and allocation of resources before, during, and after the disasters. 相似文献