Q值的简易测定与地震前兆分析

依据尾波衰减特征，采用测量尾波包络体最大双振幅方法，分别用单次散射和多次散射模式处理了苏、皖、鲁、冀四省４２个ＤＤ－１台站，５１个地震的尾波资料，求出与散射有关的地球介质Ｑ因子，并对Ｑ值随尾波推移时间窗、震中距的变化进行归一法处理，公式如文中式（１１）、（１２），用归一法求得的多次散射模式Ｑ０２值分布图象表明，高Ｑ值与中强地震的活动背景有关，这种简易测定地球介质Ｑ值的方法在地震前兆分析中有着良好的应用前景     

可燃气体(液体蒸气)的爆炸极限与最大允许氧含量的对比研究

通过实验研究了可燃气体(液体蒸气)的爆炸极限规律,从全新的角度分析了各种浓度可燃气体(液体蒸气)的最大允许氧含量的规律,并运用数值分析原理拟合出其规律函数,可从理论上求得各种浓度可燃气体(液体蒸气)的最大允许氧含量值。通过爆炸极限和最大允许氧含量规律的对比研究,分析了两者相辅相成的重要关系,指出两者从不同角度界定了可燃气体(液体蒸气)的爆炸范围,是衡量可燃气体(液体蒸气)爆炸危险性的两个重要参数。     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (− 0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (-0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

碳中和趋势下数学模拟在污水处理系统中的发展与综合应用

数学模拟技术在污水处理方面被广泛应用,为了系统总结相关技术,本文回顾了污水处理系统中数学模拟技术的发展历程;综述了活性污泥模型(ASM)与机器学习(ML)在水质预测及参数工况优化领域中的应用;重点探究了污水处理系统中温室气体排放模型,以及多目标优化模型在污水处理系统中温室气体排放(GHG)、出水质量(EQI)和运行成本(OCI)的权衡问题;归纳了数学模拟技术在实现污水厂能量自给与资源回收的应用发展.研究结果表明数学模拟技术能准确预测出水水质、快速优化工艺参数、权衡温室气体排放、出水水质与运行成本之间的关系、以及提高资源回收效率等.因此,数值模拟技术可有效指导污水处理工艺的运行优化以及管理,为污水处理行业减污降碳协同增效提供技术支撑.     

Aircraft Emissions: A Comparison of Methodologies Based on Different Data Availability

The impact of air traffic on the global atmosphere is characterised by a high degree of uncertainty, concerning both the physico-chemical phenomena involved and the extent of the forcing due to anthropogenic emissions. The different effects of these emissions (e.g. on climate change, stratospheric ozone depletion, acidification, tropospheric ozone formation) are dealt with by different international bodies and conventions (e.g. IPCC, EMEP. . .) which are trying to define a standard methodology allowing countries to evaluate their contributions to global aircraft emissions and to report these figures in a standardised way. The paper compares different methodologies proposed by the joint EMEP/CORINAIR 'Atmospheric Emission Inventory Guidebook' for estimating aircraft emissions. Adjustments to these methodologies have been proposed, in order to integrate some additional data such as the total amount of flight hours per aircraft type or fuel consumption per trip. In case detailed information is not available, we recommend the use of a VERY SIMPLE methodology which may yield acceptable results, provided that every country makes adequate assumptions on the average aircraft type.     

南京地区一次臭氧污染过程的行业排放贡献研究

采用WRF-CHEM模式对南京地区春季一次臭氧(O_3)污染过程进行了模拟及行业排放贡献分析.此次O_3污染过程发生在2015年5月22—26日,南京地区一直处于地面高压控制的晴好天气之下,并于25日达到O_3污染的峰值.模拟与观测的一致性指数IOA达到0.89,表征本次O_3污染过程的模拟与观测结果的一致性较高.通过5类排放源(工业源、农业源、居住源、交通源、生物源)的敏感性试验,探究各行业排放源中O_3前体物对近地面O_3浓度的相对贡献.结果表明工业源在白天为持续正贡献,且在午后16:00时达到峰值,而交通源、居住源和农业源的贡献随气温的升高在白天由负贡献转为正贡献,并在18:00时左右达到峰值.在夜晚,O_3则主要通过交通源排放的大量NO进行滴定消耗.在高O_3浓度(≥200μg·m~(-3))时,各人为排放源均为正贡献,工业源的贡献最大,达到50μg·m~(-3),在低O_3浓度(200μg·m~(-3))时,交通源、居住源和农业源呈负贡献.生物源在人为排放源主导的南京城区O_3污染过程中的贡献几乎为零.考虑到O_3生成机制的复杂性,对于南京地区,减少工业源排放是控制O_3污染的关键.     

轮作方式对冬水田温室气体排放的影响

以位于西南大学农业部重庆紫色土生态环境重点野外科学观测试验站内的冬水田(RF)、水稻-油菜轮作(RR)和水稻-儿菜轮作(RV)农田为研究对象,采用静态箱-气相色谱法对农田的温室气体的排放通量进行了为期一年的原位观测,其中采用静态暗箱技术观测CH4和N2O,静态明箱技术观测CO2.结果表明,不同轮作方式下CH4的年排放总量[以CH4计,kg·hm-2]RF(422.87±27.1) RR(132.05±23.11) RV(50.91±3.83),其中RV与RR处理较RF处理CH4排放量有明显下降(P0.05);N2O的年排放总量[以N2O计,kg·hm-2]依次为RV(21.38±6.51) RR(20.02±5.23) RF(0.48±0.02),RV和RR处理N2O的排放总量均显著高于RF(P0.05);CO2的年净排放总量[以CO2计,t·hm-2]为RR(-55.43±5.04) RV(-29.1±3.00) RF(-14.08±1.81),RV和RR处理CO2的吸收量显著高于RF处理(P0.05).在100a时间尺度上,全年排放的CH4、N2O和CO2所引起综合GWP(以CO2计,t·hm-2)为RR(-46.43) RV(-22.01) RF(-2.11),表明冬水田转变为水旱轮作系统后能显著提升农田生态系统的增汇效果,相比于RV处理,RR处理增汇效果更好,即在西南地区水稻-油菜轮作农田在生态系统增汇上是一种最有效的轮作方式.     

Formation of dioxins from combustion of polyvinylidene chloride in a well-controlled incinerator

Polyvinylidene chloride (PVDC; polymer of 1,1-dichloroethylene) was combusted with paper in a well-controlled, small-scale incinerator at an average grate temperature of 700 °C, and then dioxins (PCDDs, PCDFs, and coplanar-PCBs) formed in the exhaust gases were analyzed by gas chromatography/mass spectrometry. PVDC lowered the combustion temperature due to its less flammable character. The amount of total dioxins (PCDDs + PCDFs + coplanar-PCBs) formed in the exhaust gas was 58.0 ng/g of a combustion sample and its toxicity equivalency quantity (TEQ) value was 0.64 ng-TEQ/g. The amount of PCDDs formed in the sample ranged from 2.33 ng/g (Cl₈-isomer) to 0.048 ng/g (Cl₁-isomer). The lower the number of chloride, the less production of PCDDs. On the other hand, there was no relation between the number of chloride and PCDF formation. The amount of PCDFs formed in the sample ranged from 8.02 ng/g (Cl₂-isomer) to 4.46 ng/g (Cl₈-isomer). A polyvinylchloride (PVC) sample produced 207 ng/g of total dioxins and a PVDC sample produced 57.4 ng/g of total dioxins when they were combusted under the same conditions. An approximately equal composition of dioxin isomers was formed from PVDC and PVC samples. Paper was found to contribute to PCDF formation when it was combusted with plastics.     

弹药库房密闭期间有害气体的分析

弹药在长期储存过程中,受储存环境影响,其装药会发生缓慢的分解、水解反应,产生易燃易爆及有害气体.为深入研究弹药在密闭过程中有害气体对弹药库房及人员可能造成的危害,对弹药库房密闭期间产生的有毒、有害及可燃气体成分作定性和定量检测,深入分析影响弹药安全和人员身体健康的有害气体的测试结果.