有机酸性腐蚀品生产危险性分析

目前我国化工生产中涉及大量有机酸性腐蚀品,通过对某市化工行业调查及分析,发现有机酸性腐蚀品生产普遍,而且生产原料易燃易爆,生产过程存在火灾爆炸危险,结合具体生产工艺,采用预先危险性分析法和作业条件的危险性评价法分析生产过程危险性,从而揭示并概括有机酸性腐蚀品生产危险性.为更好地促进我国安全生产,在此基础上探讨了一些针对性的安全措施.     

醇胺溶液吸收与解吸CO2的研究

在温度333K、常压条件下,在羟乙基乙二胺(AEE)总量一定的溶液中,研究了不同浓度AEE对CO2的吸收性能;在总胺质量分数为40%的溶液中,研究了不同配比的AEE N-甲基二乙醇胺(MDEA)对CO2的吸收性能.考察了吸收过程中吸收速率、吸收量、吸收时间、AEE浓度以及吸收液温度的相互关系.控制解吸过程温度为393K,考察了CO2解吸量与解吸时间的关系.实验表明,适当降低AEE浓度有利于充分发挥AEE溶液的CO2吸收性能;在MDEA溶液中加入适量AEE,可以明显提高CO2的吸收与解吸性能;其中质量分数为20?E 20%MDEA的复合溶液在CO2吸收与解吸过程中表现出良好的实际操作性.     

不同加碱量下爆破制浆的源强试验研究

为了解爆破制浆的排污情况和废水处理的可行性,以烧碱和石灰作投加药剂,进行了不同加碱量条件下爆破制浆产生源强的试验研究,以确定最佳的加碱量和适宜的黑液提取率.研究表明,在加碱量相同的情况下,采用常规爆破浆样,浆样性能较好;在保持吨粗干浆产生的COD一致时,投加价格低廉的石灰,既能降低生产成本,又便于后续的废水处理;工程调试运行结果表明,控制吨粗干浆的石灰投加量为25～30 kg时,黑液提取率超过80%,最终出水COD<100 mg/L.     

污水厂污泥一体化竖式强化渗滤浓缩自然干化与消化研究

针对目前国内污泥处理处置存在的问题,为实现污泥浓缩消化一体化,开发了污泥一体化强化渗滤浓缩自然干化与消化新工艺反应器,并进行了城市水厂污泥处理试验.结果表明,在有机负荷为0.8 kg VSS/(m3·d)、平均水力停留时间为8.3 d、污泥停留时间为120 d的条件下,污泥有机物去除率可达到44.4%,排泥含水率达到79.1%,污泥消化与浓缩过程起到了相互促进的作用.渗滤液须抽回至污水处理厂处理.     

地下水环境中甲基叔丁基醚运移过程的动力学模型

建立了地下水环境中甲基叔丁基醚(MTBE)运移过程的变系数动力学模型,并对模型进行了验证和参数灵敏度分析.模拟结果表明,地下水流速和阻滞系数对于MTBE的运移过程影响最为显著,而水动力弥散系数的影响较小,忽略其变化不会对预测地下水环境中污染物运移的环境动力学行为造成太大误差.由此得到的结论可定量研究MTBE在地下水环境中的对流.扩散特征,还可为MTBE污染地下水的预测预报、修复治理等研究提供科学依据.     

地质灾害预警预报及信息管理系统应用研究

根据调查,江西省地质灾害的诱发因素主要是降雨,因此,通过总结前人关于地质灾害预报预警的研究,提出了一套应用降雨资料对地质灾害进行预报预警的预警流程,并建立预警及信息管理系统。该系统采用空间数据库引擎技术管理海量滑坡、地质、地貌、降雨等数据及地质灾害的文档等资料。系统基于WebGIS技术,实现了地质灾害预报预警图的发布、信息查询、空间定位、空间叠加和地质灾害预警预报信息反馈等功能。     

官地水电站竹子坝料场高边坡的稳定性分析及其影响因数研究

竹子坝料场是官地水电站混凝土浇筑骨料的重要来源之一。结合竹子坝料场的地形地质情况,以及料场开挖后形成的东、南、西三段人工边坡,运用刚体极限平衡的方法进行稳定性分析及其影响因数的研究。     

Decolorization of cationic red X-GRL by wet air oxidation: performance optimization and degradation mechanism

The decolorization of a strong colored azo dye solution of cationic red X-GRL was investigated by wet air oxidation under relatively mild conditions (60-180 degrees C, PO2 = 0-1.2 MPa). Mono-factor experiments were carried out to investigate the effect of the operation factors and the relatively important parameters were selected for optimization using response surface methodology to explore the interactions of these relatively important parameters. Model regeneration analysis and the check experiments showed that the data of the general linear model agreed with the experiment results well. With multistage Monte-Carlo optimization, the best region of these variables could be predicted to dye color removal. At typical operational conditions, the intermediates of dye degradation were detected and confirmed by GC/MS system. Considering the intermediates and the structure analysis with the help of Gaussian 03W (version 6.0) and the theory of dye color, a possible degradation mechanism for the wet air oxidation of cationic red X-GRL was discussed and the probable degradation pathway was deduced.     

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.     

Distribution of elements in needles of Pinus massoniana (Lamb.) was uneven and affected by needle age

Macronutrients (P, S, K, Na, Mg, Ca), heavy metals (Fe, Zn, Mn, Cu, Pb, Cr, Ni, Cd,) and Al concentrations as well as values of Ca/Al in the tip, middle and base sections, and sheaths of current year and previous year needles of Pinus massoniana from Xiqiao Mountain were analyzed and the distribution patterns of those elements were compared. The results indicated that many elements were unevenly distributed among the different components of needles. Possible deficiency of P, K, Ca, Mn and Al toxicity occurred in needles under air pollution. Heavy metals may threaten the health of Masson pine. Needle sheaths were good places to look for particulate pollutants, in this case including Fe, Cu, Zn, Pb, Cr, Cd and Al.