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Distributed sensor network for local area atmospheric modeling

机译:用于局部大气建模的分布式传感器网络

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摘要

In the event of a Weapons of Mass Destruction (WMD) chemical or radiological release, quick identification of the nature and source of the release can support efforts to warn, protect and evacuate threatened populations downwind; mitigate the release; provide more accurate plume forecasting; and collect critical transient evidence to help identify the perpetrator(s). Although there are systems available to assist in tracking a WMD release and then predicting where a plume may be traveling, there are no reliable systems available to determine the source location of that release. This would typically require the timely deployment of a remote sensing capability, a grid of expendable air samplers, or a surface sampling plan if the plume has dissipated. Each of these typical solutions has major drawbacks (i.e.: excessive cost, technical feasibility, duration to accomplish, etc...). This paper presents data to support the use of existing rapid-response meteorological modeling coupled with existing transport and diffusion modeling along with a prototype cost-effective situational awareness monitor which would reduce the sensor network requirements while still accomplishing the overall mission of having a 95% probability in converging on a source location within 100 meters.
机译:如果发生大规模杀伤性武器的化学或放射性释放,迅速查明释放的性质和来源可支持向顺风警告,保护和撤离受威胁人口的努力;减轻释放;提供更准确的羽流预测;并收集关键的临时证据,以帮助识别肇事者。尽管有可用的系统来帮助跟踪WMD释放,然后预测烟羽可能在何处传播,但尚无可靠的系统来确定该释放的源位置。这通常需要及时部署遥感功能,消耗性空气采样器的网格或烟羽消散后的地面采样计划。这些典型解决方案中的每一个都有主要缺点(即:成本过高,技术可行性,完成时间等)。本文提出的数据可支持使用现有的快速响应气象学模型,结合现有的传输和扩散模型以及具有成本效益的原型态势感知监视器,这将减少传感器网络的需求,同时仍能完成95%的总体任务会聚在100米以内的源位置上的概率。

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