SGER: Digital Technology Enhanced Collection of Perishable Hurricane Damage Data

SGER：数字技术增强了易腐烂飓风损害数据的收集

• 批准号: 0553144
• 负责人: David Frost
• 金额: $ 2.8万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-10-01 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0553144&HistoricalAwards=false
• 关键词: SGER; Digital; Technology; Enhanced; Collection

Project AbstractPost disaster reconnaissance following major natural and man-induced events has yielded significant new insights into both the characteristics of the events as well as the performance of man-made infrastructure subjected to these catastrophic events. Teams of experts have made significant discoveries over the past 20 years as a result of rapidly deployed reconnaissance activities that have ensured that perishable data was appropriately collected and archived. The resulting information has also formed the basis for numerous detailed "follow-on" investigations. Conducting reconnaissance at post-disaster sites is not with challenge. Whether the disaster is a natural event (e.g. earthquake, tsunami, tornado, fire, hurricane) or a man-induced one (e.g. terrorist attack), individuals conducting reconnaissance are often placed in situations of elevated hazard due to follow-on events (after-shocks), delayed collapse (structures weakened during initial event), health issues (loss of sanitation) or simply breakdown of law and order. As a result, there is an increased potential for data quality and quantity to be compromised as individuals work under more challenging conditions. One factor that can minimize the impact of these adverse conditions is to have a robust integrated data collection system that supports the reconnaissance team. In this manner, individuals participating in field studies can record information more rapidly. By capturing the data directly in digital format, field team members can also share it more effectively with other team members located at remote low hazard environments. Against this backdrop of technology assisted field data collection, this project will deploy a multi-disciplinary team using state of the art handheld technology to collect damage assessment data at various locations along the Gulf Coast following the recent Hurricane Katrina event. The primary reconnaissance objective that underpins this project is field studies to develop a baseline condition model for a major port facility subjected to a catastrophic event. Additional objectives focus on evaluating multi-scale geographic variations in infrastructure damage as a result of hurricane storm surge and wind. Data that documents physical damage to the port infrastructure will be correlated with the reduced operational capacity of the port. Discussions with port officials will identify the key operational data and performance metrics that define port functionality. This may include, for example, numbers of ships processed at different berths, total tonnage unloaded and loaded, total cargo value unloaded and loaded, number of containers unloaded, loaded and stored, gate inbound and outbound movements, and yard handling movements. As necessary, statistical techniques will be used to extract value from data that only provides partial information. The project team will also collect information on the impact that other factors (e.g. the welfare and safety of the labor force, damage to the local housing stock, direct and indirect effects of emergency response management, and coordination with government entities at local, state and federal levels) have on the operational capacity of the port. This information will include mapping who is involved in port operations decision-making, and eliciting stakeholders' characterizations of port management and operations before and after hurricane Katrina. Questions will include the tenure and turnover of port staff, who is involved in making specific day-to-day and strategic decisions in the port, how communications are being managed, and the status of public-private collaborations. Findings will inform models of disaster response, public-private partnerships, and stakeholder roles in decision making.A multi-disciplinary team with significant prior experience in post-disaster reconnaissance including Loma Prieta, Northridge, Kocaeli, Bhuj, WTC, Chi-Chi, Indonesia and Africa has been convened. Team leaders will work with multi-disciplinary groups of individuals with expertise targeted to the project tasks. The schedule for the various reconnaissance activities will be mandated by the degree to which the desired data is perishable (very high - high) and the ability to gain access to critical locations. It is anticipated that all phases of the reconnaissance work will be completed within about 6 weeks. The primary project deliverable will be a comprehensive multi-scale geo-referenced database of hurricane damage. The budget includes travel and per diem costs principally. The intellectual merit of the activity is that it merges the broader objective of enhancing field data collection through the use of integrated digital technology systems with a set of focused technical objectives including port facility condition, storm surge and wind damage, and distributed infrastructure damage, each of which depend on the timely collection of perishable data. The broader impacts of the activity are embedded in both the study plan and the personnel that will execute it in that a racially and gender diverse multi-disciplinary team that will include both senior and junior faculty and students who will seek to secure rich data sets that can have significant implications for studies, not only into future hurricane preparedness, but also into the consequences of other catastrophic natural events such earthquakes and tsunamis, as well as man-induced (terrorist) disasters.

项目摘要重大自然和人为事件发生后的灾后勘察，对事件的特征以及遭受这些灾难性事件的人造基础设施的性能产生了重要的新见解。 过去20年来，由于迅速部署的侦察活动，确保妥善收集和存档易损坏的数据，专家小组取得了重大发现。 由此产生的信息也成为许多详细的“后续”调查的基础。在灾后现场进行侦察并不具有挑战性。 无论灾害是自然灾害（如地震、海啸、龙卷风、火灾、飓风）还是人为灾害（如恐怖袭击），由于后续事件（余震）、延迟倒塌（结构在初始事件期间被削弱）、健康问题（卫生设施丧失）或仅仅是法律和秩序的崩溃，进行侦察的个人往往处于更高危险的境地。 因此，随着个人在更具挑战性的条件下工作，数据质量和数量受到损害的可能性增加。 可以最大限度地减少这些不利条件的影响的一个因素是拥有一个强大的集成数据收集系统，以支持侦察团队。 通过这种方式，参与实地研究的个人可以更快地记录信息。通过直接以数字格式捕获数据，现场团队成员还可以更有效地与位于远程低危害环境中的其他团队成员共享数据。 在技术辅助现场数据收集的背景下，该项目将部署一个多学科小组，使用最先进的手持技术，在最近的卡特里娜飓风事件发生后，在沿着墨西哥湾沿岸的各个地点收集损失评估数据。 该项目的主要勘察目标是进行实地研究，为遭受灾难性事件的主要港口设施开发基线条件模型。 其他目标侧重于评估飓风、风暴潮和风造成的基础设施破坏的多尺度地理差异。记录港口基础设施实际损坏情况的数据将与港口业务能力下降情况相联系。 与港口官员的讨论将确定定义港口功能的关键操作数据和性能指标。 例如，这可能包括在不同泊位处理的船舶数量、卸载和装载的总吨位、卸载和装载的货物总价值、卸载、装载和储存的集装箱数量、进出码头的移动以及码头装卸移动。 必要时，将使用统计技术从仅提供部分信息的数据中提取价值。 项目组还将收集其他因素（如劳动力的福利和安全、当地房屋的损坏、应急管理的直接和间接影响以及与地方、州和联邦各级政府实体的协调）对港口运营能力的影响的信息。 这些信息将包括查明谁参与港口业务决策，并了解利益攸关方在卡特里娜飓风前后对港口管理和业务的描述。 问题将包括港口工作人员的任期和更替，他们参与港口的具体日常和战略决策，如何管理通信，以及公私合作的状况。 调查结果将为灾害响应模型、公私伙伴关系和利益相关者在决策中的作用提供信息。召集了一个多学科小组，该小组在灾后侦察方面具有丰富的经验，包括洛马普列塔、北岭、科贾埃利、布杰、世贸中心、奇奇、印度尼西亚和非洲。 团队负责人将与具有针对项目任务的专业知识的多学科个人团队合作。 各种侦察活动的时间表将根据所需数据的易损坏程度（非常高-高）和进入关键地点的能力来确定。 预计所有阶段的勘察工作将在大约6周内完成。 该项目的主要交付成果将是一个全面的多尺度飓风灾害地理参照数据库。 预算主要包括旅费和每日津贴。 这项活动的智力价值在于，它将通过使用综合数字技术系统加强实地数据收集的更广泛目标与一套重点突出的技术目标结合起来，这些目标包括港口设施状况、风暴潮和风灾以及分布式基础设施损坏，其中每一项都取决于及时收集易损坏的数据。 活动的更广泛的影响是嵌入在两个研究计划和人员，将执行它，一个种族和性别多元化的多学科团队，将包括高级和初级教师和学生谁将寻求确保丰富的数据集，可以有重大影响的研究，不仅对未来的飓风准备，而且还涉及地震和海啸等其他灾难性自然事件以及人为（恐怖主义）灾害的后果。