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Understanding and a

机译:理解和

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Abstract: During the last 10 years, open-path air monitors have evolved to yield reliable and effective measurements of single and multiple compounds on a real-time basis. To many individuals within the optical remote sensing community, the attributes of open-path and its the potential uses seem unlimited. Then why has the market has been stagnant for the last few years? The reason may center on how open-path information is applied and how well the end user understands that information. We constantly try to compare open-path data to risk/health or safety levels that are based for use at a single point and for a specific averaging period often far longer than a typical open-path data point. Often this approach is perceived as putting a square peg in a round hole. This perception may be well founded, as open-path data at times may need to go through extensive data manipulation and assumptions before it can be applied. This paper will review pervious open-path monitoring programs and their success in applying the data collected. We will also look at how open-path data is being currently used, some previous pitfalls in data use, alternate methods of data interpretation, and how open-path data can be best practically applied to fit current needs. !0
机译:摘要:在过去的十年中,开放式空气监测仪不断发展,可以实时可靠,有效地测量单个和多个化合物。对于光学遥感领域的许多人来说,开放路径的属性及其潜在用途似乎是无限的。那么为什么最近几年市场一直停滞不前呢?原因可能集中在如何应用开放路径信息以及最终用户对信息的理解程度上。我们不断尝试将开放路径数据与风险/健康或安全级别进行比较,这些风险/健康或安全级别基于在单个点上使用的时间和特定的平均时间,通常比典型的开放路径数据点要长得多。通常,这种方法被认为是在圆孔中放置一个方形钉。由于开放路径数据有时可能需要经过广泛的数据处理和假设才能应用,因此这种认识可能是有充分根据的。本文将回顾以前的开放路径监视程序及其在应用收集到的数据方面的成功。我们还将研究当前如何使用开放路径数据,数据使用中的一些先前的陷阱,数据解释的替代方法,以及如何才能最佳地实际应用开放路径数据来满足当前需求。 !0

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