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在汶川地震灾区基于灰色动态模型群的河流水质预测

Predication of river water quality based on gray dynamic model group in wenchuan earthquake disaster area
作者:Yuze SunXudong Fan 加工时间:2014-08-07 信息来源:科技报告(Other) 索取原文[17 页]
关键词:化学气相检测;生物医学;环境监测;环形谐振器
摘 要:Real-time chemical vapor detection and analysis have broad applications in environmental monitoring, homeland security, military surveillance, and biomedical diagnosis. As an emerging new sensing technology, optical micro-ring resonator has unique advantages in developing low-cost and portable vapor sensors. This chapter introduces ring resonator vapor sensing principles, describes representative micro-ring resonator vapor sensor designs and performances, and then focuses on one special micro-ring resonator design—the optofiuidic ring resonator (OFRR), which inherently integrates the ring resonator vapor sensor and gas fluidics. The OFRR sensor has fast response to a wide spectrum of vapor analytes, with a detection limit of around 100pg. Moreover, the OFRR is a versatile sensing platform that can be integrated with micro-gas chromatography (μGC) for rapid and in situ identification of organic chemical compounds (VOCs) in complex interfering vapor mixtures. Combination with a μGC system greatly enhances the vapor detection specificity, which is one of the major limitations in optical vapor sensors. Applications of the OFRR-μGC in detection of explosives and rapid tandem-column separation of VOCs are also presented. Future research/development directions in the ring resonator vapor sensor are discussed in the end.
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