Use of Geospatial Data and Technology for Wilderness Search and Rescue by Nonprofit Organizations

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.     

Integrating multi-agent evacuation simulation and multi-criteria evaluation for spatial allocation of urban emergency shelters

The timely and secure evacuation of residents to nearby urban emergency shelters is of great importance during unexpected disaster events. However, evacuation and allocation of shelters are seldom examined as a whole, even though they are usually closely related tasks in disaster management. To conduct better spatial allocation of emergency shelters in cities, this study proposes a new method which integrates techniques of multi-agent system and multi-criteria evaluation for spatial allocation of urban emergency shelters. Compared with the traditional emergency shelter allocation methods, the proposed method highlights the importance of dynamic emergency evacuation simulations for spatial allocation suitability analysis. Three kinds of agents involved in evacuation and sheltering procedures are designed: government agents, shelter agents, and resident agents. Emergency evacuations are simulated based on the interactions of these agents to find potential problems, for example, time-consuming evacuation processes and road congestion. A case study in Jing’an District, Shanghai, China was conducted to demonstrate the feasibility of the proposed method. After three rounds of simulation and optimization, new shelters were spatially allocated and a detailed recommended plan of shelters and related facilities was generated. The optimized spatial allocation of shelters may help local residents to be evacuated more quickly and securely.     

面向地震应急准备的居民地遥感提取及量化分析

运用灰度共生矩阵、数学形态学等方法提取新疆新源地区高分一号2 m分辨率影像居民地信息,运用目视解译、影像叠加分析、缓冲区分析等方法,进行居民地量化分级,为地震应急准备提供数据支持。结果表明：研究区在地震烈度为Ⅷ度及以下区域,埋压主要集中在单层结构为主的建筑区;当地震烈度高于Ⅷ度且造成多层建筑大面积倒塌时,县城等人口密集区为首要救援区;在地震应急准备时,应对交通条件三等区和交通条件四等区重点关注,增加应急物资储备点,对山区居民地,应考虑道路毁坏情况,转换救援方式,做好应急预案。     

西部测图移动应急安全自救保障系统研究

移动应急安全自救保障系统是整个"西部测图工程"安全保障体系建设中的最重要组成部分。本文从"西部测图"移动应急安全自救保障建设实际需求出发,结合当前PDA硬件资源的特点,在分析测区作业特点的基础上探讨了系统建设的整体架构以及系统建设的需求特征,并详细阐述了系统的数据组织结构模型,最后给出了系统的相关功能实现和应用。     

邯郸豪群大厦的地基处理与监测

该建筑物的基本横跨黄河故道及堤岸,并贯穿有地下防空洞。本文介绍了这一建筑物的复杂的地基的处理,建筑物已使用０余,经多次监测,基本没有发生异常沉降。     

基于移动平台的测震应急流动台现场监控系统的设计与实现

流动测震观测是在大地震发生以后开展的一项重要的地震应急响应工作,能够获得震区高质量的地震数据,而野外环境的复杂性对测震应急流动台的架设提出了较高的要求。本文通过对地震应急流动现场工作进行需求分析,设计并实现了一种基于IOS系统的测震应急流动台现场监控系统,能够让现场工作队员快速获取流动台数据和状态信息,有利于流动台的快速架设,提高了应急流动观测现场工作的效能。     

城市地震应急避难场所展示系统的设计与实现

针对城市应急避难场所信息化建设过程中存在的问题,以天津市地震应急避难场所的实际情况为数据基础,开发了基于Google地图API技术的城市地震应急避难场所展示系统。该系统实现了应急避难场所信息查询、地图量测、避难场所最优路径和应急避险科普宣传等公共服务功能。系统的设计与实现不仅有利于城市居民及时方便准确地获取居住地周围地震应急避难场所空间分布信息和应急避险等知识,同时在城市突发灾害后的抢险救灾、疏散及安置居民等方面起到重要作用。     

基于国普数据的芦山县地震应急基础数据更新及其应用研究

通过研究地理国情普查数据和四川省芦山县地震应急基础数据库的数据类型、数据结构及二者间的关系,完成了地理国情普查数据向芦山县地震应急基础数据的转换与更新;并以芦山地震为例,利用城镇地震应急快速评估系统验证了更新后数据的可靠性。     

基于手机位置数据的四川九寨沟7.0级地震人流分析

2017年8月8日四川九寨沟7.0级震后,浙江省地震局利用大数据采集了1031.99万条手机位置记录和4.46万个空间格网位置。本文结合24hr连续定位的手机数据,使用手机位置数据分别对九寨沟灾区人口从时间和地理维度上进行了量化分析,估计了多维人口分布的偏差,同时,探讨了剔除微观误差数据用户来估算灾区通讯基站退服分布的方法。该项工作为震后快速获取灾区人口实时动态分布提供了有效途径,同时也为地震灾害评估提供了较准确的依据。     

面向山地徒步应急救援路径规划的改进蚁群算法研究

当消防事故发生在无明显道路或道路稀疏的野外复杂山区时,如何在复杂山地环境中规划安全、快速通过的路线至关重要。针对蚁群算法在复杂山地路径规划中容易陷入局部最优以及搜索时间较长的问题,本文提出一种适用于细粒度野外山地环境的徒步应急救援路径规划算法。本文首先根据已有文献分析地表信息与人类运动速度之间的关系,综合地表灌木盖度与地形坡度因素设计寻优算法的目标函数和启发函数;接着采用定向范围视野的蚂蚁搜索方式,决定蚁群算法寻优过程中每一步的网格选择;最后采用拉普拉斯分布调整初始信息素、添加隔离信息素、融合遗传算子与分组更新常规信息素的方法改进蚁群算法。将算法应用到400×400、1000×1000、5000×5000、10 000×10 000网格数的野外山地环境进行实验对比,实验结果表明,采用定向范围视野与优化启发函数的各蚁群算法在四组实验中均能得到可行路径,验证了方法的有效性;本文算法求解的路径质量优于另外三种算法,在四组实验中分别提高了0.52%～4.95%、4.71%～5.39%、2.26%～13.11%、3.84%～9.16%;此外,在野外三维山地环境中,定向范围视野的搜索方式缩减了搜索...