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.     

Evaluation of media for simultaneous enumeration of total coliform and Escherichia coli in drinking water supplies by membrane filtration techniques

This study evaluated three different dehydrated media for simultaneous detection and enumeration of total coliform （TC） and Escherichia coil in drinking water samples with a standard membrane filtration procedure. The experiment indicated that the differential coliform agar （DCA） medium was the most effective among the tested media in enumerating TC and E. coil, without the need for extensive accompanying confirmation tests. The results for DCA medium were highly reproducible for both TC and E. coil with standard deviation of 6.0 and 6.1, respectively. A high agreement （82%） was found between DCA and m-Endo media on 152 drinking water samples in terms of TC positive. The DCA medium also reduced concealment of background bacteria.     

DOAS监测排放烟气浓度时谱线漂移处理方法研究

差分吸收光谱法(DOAS)是利用气体在紫外可见光波段对光具有选择吸收的特性来测量气体浓度的一种方法。DOAS法连续监测系统的核心是软件部分,由于吸收谱线漂移现象的存在,光谱解析算法的改进对污染气体浓度的计算带来很大的影响。基于DOAS法研究监测排放烟气浓度时谱线漂移对浓度计算的影响,并提出将相关函数和相关系数结合参与浓度计算,实验的结果表明,可以有效地减小谱线漂移时浓度计算的误差。     

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。     

复合乳化剂对乳化炸药热安全性影响研究

为了探究复合乳化剂对乳化炸药热分解特性的影响,使用C80微量热仪通过MC法研究了乳化剂A(SP80)和乳化剂B(T152)作为单一乳化剂和复合乳化剂(加入比例为1:1、1:2、2:1)制备的乳化炸药。以升温速率为0.5K/min时的C80热流速曲线为基础来求解5种炸药热分解反应的表观活化能(Ea)、指前因子(lnA)等热安全参数。结果表明,使用复合乳化剂制备的乳化炸药稳定性均高于使用单一乳化剂的乳化炸药。采用复合乳化剂可导致乳化剂分子间排斥作用降低,使分子排列更紧密,增加了界面膜的致密性。当加入的乳化剂比例为m(SP80):m(T152)=1:2时,由于两种乳化剂相互作用形成致密的复合界面膜,其稳定性最高。     

Experimental hazardous risk investigation of energetic styphnic acid analytical reagent in calorimetric analysis

Analytical reagents identify and manage metal pollution, a major environmental issue. Regrettably, these compounds' safety concerns, especially when heated, have been neglected. This research examines the thermal hazard of the extremely reactive analytical reagent styphnic acid. Differential scanning calorimetry, thermogravimetric analysis, and accelerating rate calorimetry examined styphnic acid's thermodynamics. Thermogravimetric analysis showed weight loss reactions starting at 127 °C and peaking at 208 °C. Differential scanning calorimetry showed an endothermic peak at 176 °C. The accelerating rate calorimetry test showed that styphnic acid self-accelerates at 237 °C after 196.5 °C. Kissinger, Ozawa-Flynn-Wall, and Kissinger-Akahira-Sunose thermokinetic models calculated apparent activation energy from 131.677 to 155.718 kJ/mol. A nonlinear regression analysis showed that styphnic acid undergoes a two-step autocatalytic reaction during heat degradation. Thermal safety was assessed by measuring time to conversion limit, maximum rate, total energy release, self-accelerating decomposition temperature, and adiabatic temperature rise. Styphnic acid is less stable at higher temperatures and its thermal hazards depend on heating rate. The computed SADT was 109.04 °C, with alarm and control temperatures of 104.04 and 99.04 °C, respectively. The risk matrix analysis based on T_ad and TMR_ad suggests reducing thermal instability. This study on styphnic acid's thermal risks and safe storage and transit during analytical applications is beneficial.     

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.