ICS-209-PLUS - An all-hazards dataset mined from the US National Incident Management System 1999-2014
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https://figshare.com/articles/ICS209-PLUS_Cleaned_databases/8048252/11
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<b>Abstract</b><b>This paper describes a new dataset mined from the public archive (1999-2014) of the U.S. National Incident Management System/Incident Command System Incident Status Summary Form (a total of 124,411 reports for 25,083 incidents, including 24,608 wildfires). This system captures detailed information on incident management costs, personnel, hazard characteristics, values at risk, fatalities, and structural damage. Most (98.5%) of the reports are fire-related, followed in decreasing order by <i>other</i>, hurricane, hazardous materials, flood, tornado, search and rescue, civil unrest, and winter storms. The archive, although publicly available, has been difficult to use due to multiple record formats, inconsistent free-form fields, and no bridge between individual reports and high-level incident analysis. Here, we describe this improved dataset and the open, reproducible methods used, including merging records across three versions of the system, cleaning and aligning with the current system, smoothing values across reports, and supporting incident-level analysis. This integrated record offers the opportunity to explore the daily progression of the most costly, damaging, and deadly events in the U.S., particularly for wildfires. </b><b> </b><b>External Tables referred to in the original manuscript:</b><b> </b><b>ics209_sitreps_short_masterlist.zip</b><b>ics209-plus_sitrep_definitions.zip</b><b>ics209-plus-wf_incident_definitions.zip</b><b>sit209_lookup_codes_definitions.zip</b><b>fod-join_definitions.zip</b><b> </b><b>Data Description:</b><b>The 'ics209_raw.zip' file contains all of the yearly raw databases and associated lookup tables to run the cleaning algorithm (https://github.com/lisestdenis/ics209plus).</b><b> </b><b>The 'ics209_cleaned.zip' file contain the resulting databases from the cleaning produce (code found here: https://github.com/lisestdenis/ics209plus. There are 4 *.zip files found within. Below describes them:</b><b> </b><b>ics209-plus.zip</b><b>: Contains 1 files for all hazards within the ICS209 system at the daily reporting level.</b><b> </b><b>ics209-plus-wf.zip</b><b>: Contains 3 files for the wildfire only events in the ICS209 database. These are at the daily level (ics209-plus-wf_sitreps_1999to2014.csv), event level (ics209-plus-wf_incidents_1999to2014.csv), and the associated wildfire complexes (ics209-plus-wf_complex_assocs_1999to2013.csv).</b><b> </b><b>ics209-plus_incidents_spatial.zip</b><b>: Contains 1 *.gpkg file. This is a spatial cleaned file at the incident level.</b><b> </b><b>ics209_sitreps_deleted.zip</b><b>: A list of all deleted incidents from the raw data.</b>
**摘要**
本文介绍了一个从1999-2014年美国国家事件管理系统(National Incident Management System,NIMS)/事件指挥系统(Incident Command System,ICS)公开档案中采集得到的新型数据集。该档案包含25083起事件的124411份报告,其中涉及24608起野火事件。
该数据集收录了事件管理成本、人员配置、灾害特征、受威胁资产价值、伤亡情况及建筑损毁情况等详细信息。其中98.5%的报告与火灾相关,其余按占比由高到低依次为*其他*、飓风、危险物料事件、洪水、龙卷风、搜救行动、民事骚乱以及冬季风暴。
该公开档案虽可获取,但因存在多种记录格式、自由文本字段不统一,且缺乏单个报告与高阶事件分析之间的关联纽带,导致其难以直接使用。为此,本文介绍了该优化后的数据集及所用的开放可复现方法,包括整合该系统三个版本的记录、清洗数据并与当前系统对齐、统一跨报告的数值口径,以及支持事件级别的分析。该整合数据集为探究美国代价最高、破坏最严重且伤亡最惨重的事件(尤其是野火事件)的每日演进过程提供了可行路径。
**原稿提及的外部附表:**
ics209_sitreps_short_masterlist.zip
ics209-plus_sitrep_definitions.zip
ics209-plus-wf_incident_definitions.zip
sit209_lookup_codes_definitions.zip
fod-join_definitions.zip
**数据说明:**
`ics209_raw.zip` 包含用于运行清洗算法的全部年度原始数据库及相关查找表(算法代码开源地址:https://github.com/lisestdenis/ics209plus)。
`ics209_cleaned.zip` 包含经清洗流程生成的最终数据库(代码开源地址:https://github.com/lisestdenis/ics209plus)。该压缩包内包含4个*.zip文件,具体说明如下:
`ics209-plus.zip`:包含1个文件,对应ICS209系统中所有灾害类型的每日报告数据。
`ics209-plus-wf.zip`:包含3个文件,对应ICS209数据库中仅野火事件的数据,分别为每日级数据(ics209-plus-wf_sitreps_1999to2014.csv)、事件级数据(ics209-plus-wf_incidents_1999to2014.csv)以及相关野火复合体关联数据(ics209-plus-wf_complex_assocs_1999to2013.csv)。
`ics209-plus_incidents_spatial.zip`:包含1个*.gpkg文件,为经空间清洗后的事件级数据文件。
`ics209_sitreps_deleted.zip`:包含原始数据中所有被删除的事件清单。
提供机构:
figshare
创建时间:
2019-12-31
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