自来水厂除锰滤池的成熟与微生物群落的研究

为探讨自来水厂除锰滤澉成熟的生物机理,从生产滤池和实验滤柱成熟过程的不同阶段取１０００多个水质和细菌样品进行了分析测试。实验结果表明：滤池的成熟过程是不同细菌有规律的增殖并固定在滤料和包埋于铁泥的过程;当每ｇ滤砂的细菌个数超过１０＾４时,滤滤池才能成熟和高速除锰,随反冲洗强度及提高水质量。     

高效液相色谱法测定茶叶和土壤中的氟

建立了测定氟的高效液相色谱法,并通过加入三乙胺使Ｆ－Ｌａ＾３＋－苯素氨羧络合剂体系更稳定。Ｃ１８柱,甲醇－水（１８：８２）作流动相,流速为１ｍｌ／ｍｉｎ,检测波长为５６６ｎｍ,本法线性范围为０．０１０－１．０μｇ／ｍｌ,相关系数为０．９９１,检出限为１ｎｇ／ｍｌ,用于茶叶和土壤样品测定时,相对标准偏差为４．６％－７．３％,加标回收率为９１％￣１０４％。     

循环流化床烟气脱硫机理研究

对影响脱硫效率的关键因素进行了分析,同时进行了实验验证,认为水分的蒸发是主要影响因素,而流化床的运行温度和床内的相对湿度则是影响循环床脱硫效率的主要运行参数,对排烟循环流化床的床料进行了电镜扫描分析。结果表明,床料的再循环,一方面为脱硫剂的再循环提供了载体,另一方面,扩大了脱硫反应的面积,提高了脱硫效率。     

一种改进的边界层参数化模式

在能量平衡方法的基础上提出一套利用常规气象资料求取边界层参数的改进方案。利用中国科学院大气物理研究所铁塔观测资料,与廓线法进行对比分析,表明这种方案具有输入要求少,输出信息量大,结果合理的优点。此外,对此方案中的4个可变参数作了敏感性试验,结果表明湿度变化参数α的敏感性较强,在使用时应当合理选择其数值。该方案可以满足新一代空气质量模式对边界层参数化的需求。同时,由于仅需常规气象资料就能求取所有的边界层参数,因此特别适合于空气质量模式的法规应用。     

乌鲁木齐铁路地区锅炉除尘现状分析

通过对１９９５￣１９９７年采暖期乌鲁木齐铁路地区７０台锅炉的烟尘监测,对铁路地区的锅炉除尘现状有了一定的了解,并对该区现有锅炉和除尘器的运行状况进行了分析。     

Leaching of arsenic from coal fly ashes 2. Arsenic pre‐leaching with sodium gluconate solution

The present study deals with the development of an efficient and reliable process for safe disposal of coal fly ash to remove arsenic that has been found to be the most easily leachable and hazardous heavy metal in coal fly ash. Pre‐leaching of fly ash prior to disposal by a natural chelating agent, sodium gluconate (SG), was proposed and studied. Several operational factors influencing arsenic leachability, such as concentration of SG solution, liquid to solid ratio, pH, length of leaching time and leaching temperature were examined. Arsenic was found to leach out substantially with SG, but almost no further release was observed from the ash pre‐leached by SG. After the pre‐leaching treatment, the desirable high buffering capacity of the ash was well sustained. SG solution was effectively regenerated by activated alumina adsorption so that it could be successfully reused for multiple leaching/adsorption cycles.     

氟硅酸循环条件下氟吸收系统的设计及应用

在要求H2 SiF6 浓度 16 %～ 2 0 %的氟硅酸循环生产普钙的系统中 ,采用吸收室和湍球塔结合的方法 ,保证了尾气达标排放     

液中放电应用于TNT废水的降解

研究了液中放电处理ＴＮＴ废水的可行性及其能量效率关系。实验结果表明,液中放电法可以快速有效地降解废水中的ＴＮＴ。在单次电储能为２５０Ｊ。电极距离为５ｍｍ,ＴＮＴ初始浓度为３６ｍｇ／Ｌ条件下,降解率达８５％。     

活性炭吸附室内空气中挥发性有机化合物

活性炭吸附室内空气中挥发性有机化合物的１０％穿透时间与气相浓度及挥发性有机化合物的种类有关,通过对苯、甲苯和丙酮的实验研究,得出了由高浓度估算室内低浓度时炭床１０％穿透时间的经验公式ｔｂ,１＝ｔｂ,ｈ（Ｃ０,１／Ｃ０,ｈ）＾ａ,其中ａ值是与炭床性能及挥发性有机化合物种类有关的参数,可通过实验确定。     

Microbial community functional structure in response to micro-aerobic conditions in sulfate-reducing sulfur-producing bioreactor

Limited oxygen supply to anaerobic wastewater treatment systems had been demonstrated as an effective strategy to improve elemental sulfur(S0) recovery, coupling sulfate reduction and sulfide oxidation. However, little is known about the impact of dissolved oxygen(DO) on the microbial functional structures in these systems. We used a high throughput tool(GeoChip) to evaluate the microbial community structures in a biological desulfurization reactor under micro-aerobic conditions(DO: 0.02–0.33 mg/L). The results indicated that the microbial community functional compositions and structures were dramatically altered with elevated DO levels. The abundances of dsrA/B genes involved in sulfate reduction processes significantly decreased(p 0.05, LSD test) at relatively high DO concentration(DO: 0.33 mg/L). The abundances of sox and fccA/B genes involved in sulfur/sulfide oxidation processes significantly increased(p 0.05, LSD test) in low DO concentration conditions(DO: 0.09 mg/L) and then gradually decreased with continuously elevated DO levels. Their abundances coincided with the change of sulfate removal efficiencies and elemental sulfur(S0) conversion efficiencies in the bioreactor. In addition, the abundance of carbon degradation genes increased with the raising of DO levels, showing that the heterotrophic microorganisms(e.g., fermentative microorganisms) were thriving under micro-aerobic condition. This study provides new insights into the impacts of micro-aerobic conditions on the microbial functional structure of sulfatereducing sulfur-producing bioreactors, and revealed the potential linkage between functional microbial communities and reactor performance.