Effect of spectral resolution on the measurement of monoaromatic hydrocarbons by DOAS

The excellent response characteristics and detection sensitivity with much lower operational cost and the capability to discriminate between the isomer of some monoaromatic hydrocarbons (MAHCs) make di erential optical absorption spectroscopy (DOAS) a powerful tool to trace concentration variation of MAHCs. But due to the similarity in chemical structure, those MAHCs have the similar overlapped characteristic absorption structures, which make the selection of instrumental parameter critical to the accurate detection of MAHCs. Firstly, the spectral resolution used in DOAS system determines the nonlinear absorption of O2 and the mass dependence of characteristic absorption structure; thereby it determines the effect of elimination error of O2 absorption in the atmospheric spectra for the detection of MAHCs. Secondly, spectral resolution determines the di erential absorption characteristics of twelve MAHCs representing major constituents in technical solvents used in the automobile industry and the interference of spectral overlapping. Thirdly, the spectral resolution determines the sensitivity, time resolution and linear range. So the spectral resolution range with the best ratio of signal to noise is used to determine the most suitable spectral resolution range, as well as the spectral resolution range that ensure the characteristic absorption structure of MAHCs and the minimization of O2 absorption interference. Finally, 0.15–0.16 nm (FWHM: full width at half maximum) is assumed to be closest to the optimum spectral resolution and it is confirmed by the results of practical measurement of MAHCs by DOAS.     

应用全差示光度法测定水和废水中的微量氰化物

在ｐＨ８０时,ＣＮ－与３甲基１苯基５吡唑啉酮、吡啶及氯胺Ｔ反应形成稳定的蓝色产物,最大吸收波长为６１７ｎｍ,表观摩尔吸收系数为１２×１０５Ｌ／ｍｏｌ·ｃｍ。实验了采用全差示光度法测定微量氰化物的条件。通过蒸馏富集,建立了改进的吡唑啉酮法测定氰化物的分析方法,并对实际样品进行了测定。本方法的检出限为０００１ｍｇＣＮ－／Ｌ,检测范围为０００１～０２５ｍｇＣＮ－／Ｌ,可应用于水和废水中微量氰化物的测定。     

机场旅客行李托运差异化安检模式安全性研究

为减少因违禁物品托运引发的不安全事件,基于原有安检模式,提出行李托运差异化安检模式,结合搜索-决策检查模型,建立系统错误报警及错误通过率公式,得到行李托运安检系统准确度-速度变化规律.结果表明:差异化安检模式一方面提高系统安全性,另一方面提升安检效率,节约安检资源.研究结果可为机场调整安检策略提供参考.     

An improved grey wolf optimizer algorithm for identification and location of gas emission

Identification of the leakage of hazardous gases plays an important role in the environment protection, human health and safety of industry production. However, lots of current optimization algorithms, such as particle swarm optimization (PSO) and Grey Wolf Optimizer (GWO), suffer from poor global optimization capability and estimation accuracy. In this work, a hybrid differential evolutionary and GWO (DE-GWO) algorithm is proposed. Tested by simulation cases and Prairie Grass emission experimental data, DE-GWO shows higher estimation accuracy than GWO. Compared with the other four optimization algorithms, DE-GWO exhibits finer robust stability under different population sizes, fewer iterations, as well as higher estimation accuracy with fewer search agents. Importantly, simulation results demonstrate that DE-GWO is more suitable to apply in the scene with a small number of sensors. Therefore, the proposed in this paper outperforms other optimization algorithms for the gas emission inverse problem. DE-GWO can provide reliable estimation towards gas emission identification and positioning, which shows huge potential as the data analysis module of real-time monitoring and early warning system.