喷雾增湿设备的数学模拟设计

系统论述了喷雾增湿塔内水滴的运动状态与含尘气体的流动特性,建立了一个能反映喷雾增湿操作过程的数学模型,有助于确定该设备生产操作中的最佳控制参数.     

河网水质数学模型的参数估算

本文以无锡县河网水质数学模型的参数估算为例，根据河流的性质、水流特征、污染源的类型，选择５条河流进行现场观测，综合考虑不同河流的分析结果，研究了适用于平原河网水质数学模型的参数估算的方法。     

通波塘水量水质一维动态模拟及水环境容量

本文在研究通波塘水文特征和水质特征的基础上,推导出通用性较好的一维动态水量水质数学模型。该模型基本反映了通波塘水量水质的时变情况。文章对通波塘水环境容量作了计算,并提出了改善水质的建议。     

Multivariate Statistics of the Pyrolysis Products of High Molecular Components in Pulping Wastewaters to Explain Their Toxicity (6 pp)

Background, Aim and Scope At present, large-scale paper manufacture involves delignification and bleaching by elemental chlorine free (ECF) or totally chlorine free (TCF) processes. The wastewater is purified by secondary treatment (mechanical, chemical and biological) which removes most of the toxic substances from the discharge. However, we found residual toxicity in the high molecular (> 1000 D) matter (HMWM) of the discharge by test of the RET (reverse electronic transfer) inhibition. This fraction consists mainly of polydisperse lignin (LIG) and carbohydrate (CH) macromolecules. Structural units in these molecules are studied by pyrolysis gas chromatography / mass spectrometry (Pyr-GC/MS). In the present work, our aim was to find out those structural units which could explain the RET toxicity of LIG or CH molecules. We compared statistically RET toxicity values of the HMWM samples from treated wastewaters of pilot pulping experiments and intensity variation of the pyrolysis product gas chromatograms of these samples. This application is a novel study procedure. Methods Pyrolysis products (Py-GC/MS results) and inhibition of RET (reverse electronic transport toxicity) as TU50 and TU20 of HMWM (High Molecular Weight Material; Mw > 1000 D) were compared by multivariate statistics. The samples were from laboratory pilot stages of TCF (Totally Chlorine Free) and ECF (Elemental Chlorine Free) manufacture of softwood pulp. Py-GC/MS was done without and with addition of TMAH (Tetra Methyl Ammonium Hydroxide). The name and structure of each abundant fragment compound was identified from its retention time and mass spectrum compared to authentic reference compounds or literature. Four sets of Toxicity Units (TUs) and GC peak areas of the pyrolysis fragments were obtained. The data were normalized by division with LIG (lignin content of each sample). TU values were dependent and the fragment values independent (explanatory) variables in statistical treatments by SPSS system. Separate analyses of correlations, principal components (PCA) and stepwise multiple linear regression (SMLR) were performed from the four sample sets TCF and ECF with and without TMAH. Results and Discussion From the CH fragments, 2-furfural in TCF, and from the LIG fragments, styrene in ECF showed the highest probabilities to originate from source structures of toxicity. Other possible compounds in concern were indicated to be CH fragment 2-methyl-2-cyclopenten-1-one in ECF and LIG fragments 2-methoxy-4-methylphenol, 4,5-dimethoxy-2-methylphenol and 2-methylphenol in TCF.     

Bayesian entropy for spatial sampling design of environmental data

We develop a spatial statistical methodology to design national air pollution monitoring networks with good predictive capabilities while minimizing the cost of monitoring. The underlying complexity of atmospheric processes and the urgent need to give credible assessments of environmental risk create problems requiring new statistical methodologies to meet these challenges. In this work, we present a new method of ranking various subnetworks taking both the environmental cost and the statistical information into account. A Bayesian algorithm is introduced to obtain an optimal subnetwork using an entropy framework. The final network and accuracy of the spatial predictions is heavily dependent on the underlying model of spatial correlation. Usually the simplifying assumption of stationarity, in the sense that the spatial dependency structure does not change location, is made for spatial prediction. However, it is not uncommon to find spatial data that show strong signs of nonstationary behavior. We build upon an existing approach that creates a nonstationary covariance by a mixture of a family of stationary processes, and we propose a Bayesian method of estimating the associated parameters using the technique of Reversible Jump Markov Chain Monte Carlo. We apply these methods for spatial prediction and network design to ambient ozone data from a monitoring network in the eastern US.     

Accounting for geophysical information in geostatistical characterization of unexploded ordnance (UXO) sites

Efficient and reliable unexploded ordnance (UXO) site characterization is needed for decisions regarding future land use. There are several types of data available at UXO sites and geophysical signal maps are one of the most valuable sources of information. Incorporation of such information into site characterization requires a flexible and reliable methodology. Geostatistics allows one to account for exhaustive secondary information (i.e.,, known at every location within the field) in many different ways. Kriging and logistic regression were combined to map the probability of occurrence of at least one geophysical anomaly of interest, such as UXO, from a limited number of indicator data. Logistic regression is used to derive the trend from a geophysical signal map, and kriged residuals are added to the trend to estimate the probabilities of the presence of UXO at unsampled locations (simple kriging with varying local means or SKlm). Each location is identified for further remedial action if the estimated probability is greater than a given threshold. The technique is illustrated using a hypothetical UXO site generated by a UXO simulator, and a corresponding geophysical signal map. Indicator data are collected along two transects located within the site. Classification performances are then assessed by computing proportions of correct classification, false positive, false negative, and Kappa statistics. Two common approaches, one of which does not take any secondary information into account (ordinary indicator kriging) and a variant of common cokriging (collocated cokriging), were used for comparison purposes. Results indicate that accounting for exhaustive secondary information improves the overall characterization of UXO sites if an appropriate methodology, SKlm in this case, is used.     

Patchy distribution fields: a zigzag survey design and reconstruction adequacy

A mathematical model was used to examine the effects of a zigzagsurvey design on the adequacy of reconstructing patchy distribution fields. The model simulates fish or plankton patches(or gaps) of different shapes and spatial orientations, and an acoustic survey by a set of transects forming a zigzag. Adequacyof the reconstructed fields to those originally generated was evaluated by calculating their correlations (r). A prioriinformation on the autocorrelation radius for the field in thedirection of a survey (R) allows optimization of survey design and the algorithm of data analysis. A patchy field can be reconstructed properly (r > 0.80) if the distance between transects D < (1.0–1.5)R. If a priori information onthe field is not available, the autocorrelation radius should bedetermined when reconstructing the field, i.e. a posteriori. In cases of field movement, the criterion for choosing a survey direction is based on the relationship betweenthe dimension of moving patches in the direction of movement andthat of the surveyed area. The results obtained indicate that, for a fixed transect spacing, zigzag pattern allow less adequatereconstruction of an original distribution field (in cases of both immovable and movable fields) than corresponding parallel pattern.     

简易瞬态工况下汽油车挥发性有机物在线排放特征研究

机动车是大气挥发性有机物（VOCs）的重要排放源之一,识别其高分辨率排放特征对于VOCs污染控制具有重要意义.针对现有研究对不同行驶状态下机动车VOCs排放特征精细化描述较为缺乏这一问题,本研究构建了在线与离线相结合的VOCs测量系统,采用底盘测功机运行的简易瞬态工况（VMAS）,对广州市36辆不同排放标准的汽油车尾气VOCs高分辨率排放特征开展在线测量.实时观测结果发现,随着国标加严,VOCs排放至少下降2个数量级.庚烷、丁烯、甲苯、甲醛和甲醇为各类VOCs的特征组分,各组分间的相关系数普遍在0.90~0.97之间.然而,随着国标加严,组分间的相关系数下降到0.20~0.94,醇类与其它组分出现负相关或无相关性.VOCs排放分布集中于变速阶段,高于怠速和匀速阶段所占的比重,其中,甲醛、乙醛和丙酮等含氧挥发性有机物（OVOCs）在不同变速阶段维持较高且稳定的排放.这说明在城市地区降低机动车VOCs排放,长期任务是减少因拥堵或其它因素造成的频繁启动和变速,尽可能确保行驶畅通.本研究在线与离线测试所识别的VOCs组分比对结果一致性较高,在线仪器的使用较好地弥补了离线测试识别VOCs实时排放特征的局限性.     

某钢铁厂2014年度事故统计分析及预防措施

通过对某钢铁厂2014年发生的事故统计分析,找出事故发生的主要规律和原因,提出预防事故重复发生的措施,达到减少或杜绝事故发生,确保安全生产。     

湿天然气管道螺旋流水合物浆液安全输送研究

研究了天然气水合物浆液在气液两相螺旋管流中流动特性,分析了以气相为连续相、水合物颗粒为离散相的气固两相螺旋流的流动机理,通过对水合物颗粒受力分析和运动分析,结合螺旋流旋涡结构演化规律,推导出水合物颗粒平动、转动的判断条件,给出了颗粒各种受力的关联式,建立螺旋管流水合物颗粒运动模型,探讨了水合物颗粒的动力学行为。分析水合物浆液流动特性得到临界速度1即水合物浆液从固定床流动向悬浮流转化速度以及临界速度2即水合物浆液从移动床流动向固定床转化速度,为水合物浆液稳定流动提供了理论判据。