Smart Installation Weather Warning Decision Support

被引:0
|
作者
Tran, Martin [1 ]
Kreinberg, Samuel [1 ]
Specking, Eric [1 ]
Parnell, Gregory S. [1 ]
Hernandez, Brenda [1 ]
Pohl, Ed [1 ]
Gallarno, George [2 ]
Richards, John [2 ]
Buchanan, Randy [2 ]
Rinaudo, Christina [2 ]
机构
[1] Univ Arkansas, Dept Ind Engn, Fayetteville, AR 72701 USA
[2] US Army, Engineer Res & Dev Ctr, Vicksburg, MS 39180 USA
来源
SYSTEMS | 2024年 / 12卷 / 01期
关键词
smart cities; smart installations; smart bases; weather modeling; decision analysis; influence diagrams; SYSTEM;
D O I
10.3390/systems12010014
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the Fort Carson Air Force Staff Weather Officers (SWOs). Our algorithm classifies each weather event in the WWA list using the National Weather Service's and National Digital Forecast Database's data. Our algorithm assigns each event a criticality level: none, advisory, watch, or warning. The traffic network data highlight the importance of each road segment for travel to and from Fort Carson. The algorithm also uses traffic network data to assign weight to each grid, which enables the aggregation to the region and installation levels. We developed a weather dashboard in ArcGIS Pro to verify our algorithm and visualize the forecasted warnings for the grids and regions that are or may be affected by weather events.
引用
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页数:16
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