镰刀菌HJ01对对氯苯酚的降解特性

采用实验室分离的一株镰刀菌HJ01,以对氯苯酚(4-CP)为降解底物,以蔗糖为外加碳源,考察了蔗糖质量浓度、降解温度、初始pH对4-CP降解效果的影响,初步探讨了镰刀菌HJ01对4-CP的降解动力学和降解机理.实验结果表明:该菌株能以4-CP为惟一碳源和能源生长;在外加蔗糖为碳源,蔗糖质量浓度为3 g/L、降解温度为30℃、初始pH为8的条件下,50 mg/L4-CP能在6 d内被完全降解.以4-CP为惟一碳源和外加蔗糖下的降解动力学分别符合Haldane模型和一级动力学方程.     

混凝法深度处理印染废水中试研究

采用"高效混凝沉淀-过滤"深度处理工艺处理印染废水二级生化出水,并将混凝沉淀污泥回流.实验结果表明,混凝剂聚合氯化铝加入量为160 mg/L时,COD去除率平均可达34.6%,TP去除率平均达到87.9%,平均出水TP为0.3 mg/L.气相色谱-质谱分析和元素分析结果表明混凝沉淀工艺对有机物和TP的去除效果良好.     

废聚碳酸酯水解法制双酚A

以1,4-二氧六环为溶剂、NaOH为催化剂,采用废聚碳酸酯(PC)常压水解法制双酚A(BPA).对反应影响因素进行了研究.实验结果表明,在反应温度为100℃、反应时间为8h、m(NaOH):m(水+溶剂)=1:33、m(溶剂):m(PC)=4:1、m(水):m(PC)=1:1的最佳反应条件下,PC水解率大于98%,BPA收率大于95%.     

利用含铬废水和含铅废水制备铬黄

利用净化后的含铬废水和含铅废水制备铬黄.采用沉淀法对废水进行净化预处理,最佳工艺条件:100mL含铬废水中加入20 g Na_2CO_3,及10 mL H_2O_2,用NaOH调节含铬废水pH为10.00;用NaOH调节含铅废水pH为2.65.将净化后的10 mL含铬废水和25 mL含铅废水混合,在55-60℃条件下反应10 min,合成的铬黄达到GB/T 3184-2008<铬酸铅颜料和钼铬酸铅颜料>的质量标准.经重金属吸附剂处理Pb~(2+)后铬黄合成滤液中的Cr~(6+)和Pb~(2+)质量浓度均达到GB8978-1996<污水综合排放标准>的指标.     

N掺杂TiO_2光催化剂的制备及其H_2O_2改性的研究

以钛酸四丁酯为前驱物,采用水解沉淀法制备了N掺杂TiO_2光催化剂和H_2O_2改性的N掺杂TiO_2光催化剂.实验表明,H_2O_2改性的N掺杂TiO_2光催化剂的最佳制备条件为:氨水(质量分数28%)加入量20 mL,焙烧温度500 ℃,H_2O_2(质量分数30%)加入量2.0 mL.日光下,N掺杂TiO_2光催化剂及H_2O_2改性的N掺杂TiO_2光催化剂在反应90 min时的活性红紫去除率达99%,它们对活性红紫的去除率远高于P_(25)TiO_2光催化剂.H_2O_2改性的N掺杂TiO_2光催化剂中N质量分数比改性前明显提高,制备的两种催化剂中不仅含有N元素,同时还含有C和H元素.     

硫酸渣制备高纯度硫酸亚铁

以高铁硫酸渣为原料,采用酸浸一还原-除杂-结晶-重结晶-干燥工艺,合成高纯度硫酸亚铁.通过反应温度、反应时闻对硫酸渣中铁的浸出率的影响,以及结晶温度、干燥温度,干燥时间、于燥时间对硫酸亚铁产品纯度的影响做分析实验,得出最佳酸浸条件:硫酸渣与硫酸的固液比为1:3,硫酸质量分数为20%-25%,反应温度为80℃,反应时间为6 h,搅拌强度为200 r/min;最佳结晶精制条件:结晶溶液pH值1:3,温度为60℃,温度海60℃;除杂最佳条件:pH值约为4.5;冷却结晶温度控制在20℃,结晶秣过程为30℃于燥6 h.     

基于响应绩效的重大事故应急预案编制技术研究

重大事故应急预案是保证企业应急救援工作快速、高效地开展的关键。应急预案的响应绩效是预案对于预防事故发生和控制事故恶化的实际效果,基于响应绩效的重大事故应急预案编制方法就是将绩效作为核心的思想融入编制的各环节。围绕预案的编制原则、文件要素和编制流程对方法进行介绍,并进一步详细阐述了基于响应绩效的预案编制要点,从而保证预案的完整性、逻辑性、可操作性和指导性四方面的响应绩效要求。     

Simulating the meteorology and PM10 concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem)

Nine dust storms in south-central Arizona were simulated with the Weather Research and Forecasting with Chemistry model (WRF-Chem) at 2 km resolution. The windblown dust emission algorithm was the Air Force Weather Agency model. In comparison with ground-based PM₁₀ observations, the model unevenly reproduces the dust-storm events. The model adequately estimates the location and timing of the events, but it is unable to precisely replicate the magnitude and timing of the elevated hourly concentrations of particles 10 µm and smaller ([PM₁₀]).Furthermore, the model underestimated [PM₁₀] in highly agricultural Pinal County because it underestimated surface wind speeds and because the model’s erodible fractions of the land surface data were too coarse to effectively resolve the active and abandoned agricultural lands. In contrast, the model overestimated [PM₁₀] in western Arizona along the Colorado River because it generated daytime sea breezes (from the nearby Gulf of California) for which the surface-layer speeds were too strong. In Phoenix, AZ, the model’s performance depended on the event, with both under- and overestimations partly due to incorrect representation of urban features. Sensitivity tests indicate that [PM₁₀] highly relies on meteorological forcing. Increasing the fraction of erodible surfaces in the Pinal County agricultural areas improved the simulation of [PM₁₀] in that region. Both 24-hr and 1-hr measured [PM₁₀] were, for the most part, and especially in Pinal County, extremely elevated, with the former exceeding the health standard by as much as 10-fold and the latter exceeding health-based guidelines by as much as 70-fold. Monsoonal thunderstorms not only produce elevated [PM₁₀], but also cause urban flash floods and disrupt water resource deliveries. Given the severity and frequency of these dust storms, and conceding that the modeling system applied in this work did not produce the desired agreement between simulations and observations, additional research in both the windblown dust emissions model and the weather research/physicochemical model is called for.

Implications: While many dust storms can be considered to be natural, in semi-arid climates such storms often have an anthropogenic component in their sources of dust. Applying the natural, exceptional events policy to these storms with strong signatures of anthropogenic sources would appear not only to be misguided but also to stifle genuine regulatory efforts at remediation. Those dust storms that have resulted, in part, from passage over abandoned farm land should no longer be considered “natural”; policymakers and lawmakers need to compel the owners of such land to reduce its potential for windblown dust.