All-hazards dataset mined from the US National Incident Management System 1999-2020

被引:14
|
作者
Denis, Lise A. . St. [1 ,2 ]
Short, Karen C. [3 ]
McConnell, Kathryn [4 ]
Cook, Maxwell C. [1 ,5 ]
Mietkiewicz, Nathan P. [1 ,2 ]
Buckland, Mollie [1 ,5 ]
Balch, Jennifer K. [1 ,2 ,5 ]
机构
[1] Univ Colorado Boulder, Earth Lab, 4001 Discovery Dr Suite S348-UCB 611, Boulder, CO 80309 USA
[2] Univ Colorado Boulder, Cooperat Inst Res Environm Sci, 216 UCB, Boulder, CO 80309 USA
[3] USDA Forest Serv, Rocky Mt Res Stn, 5775 US Highway 10 West, Missoula, MT 59808 USA
[4] Brown Univ, Populat Studies & Training Ctr, 68 Waterman St, Providence, RI 02912 USA
[5] Univ Colorado Boulder, Dept Geog, GUGG 110,260 UCB, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
NUMBER;
D O I
10.1038/s41597-023-01955-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper describes a dataset mined from the public archive (1999-2020) of the US National Incident Management System Incident Status Summary (ICS-209) forms (a total of 187,160 reports for 35,170 incidents, including 34,478 wildland fires). This system captures detailed daily/regular information on incident development and response, including social and economic impacts. Most (98.4%) reports are wildland fire-related, with other incident types including hurricane, hazardous materials, flood, tornado, search and rescue, civil unrest, and winter storms. The archive, although publicly available, has been difficult to use for research due to multiple record formats, inconsistent data entry, and no clean pathway from individual reports to high-level incident analysis. Here, we describe the opensource, reproducible methods used to produce a science-grade version of the data, including formal connections made to other published wildland fire data products. Among other applications, this integrated and spatially augmented dataset enables exploration of the daily progression of the most costly, damaging, and deadly environmental-hazard events in recent US history.
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页数:23
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