由粉煤灰合成单一的沸石及其对Cr(Ⅵ)的吸附研究

以粉煤厌为原料采用两步法合成了2种单一沸石矿物种的NaA和NaX型沸石,并对产物的结构和性能进行了详细表征.2种沸石产物的吸附性能比较结果表明,NaA型沸石优于NaX型沸石.在静态吸附条件下,研究了NaA型沸石吸附水溶液中Cr(Ⅵ)的相关参数(溶液pH值、吸附温度和吸附时间),并用Langmuir和Freundlich等温吸附线对吸附结果进行拟和.结果表明:Cr(Ⅵ)的吸附行为符合Langmuir方程;饱和吸附量为47.78 mg/g.NaA型沸石对Cr(Ⅵ)的吸附是物理和化学吸附两种行为共同作用的结果.     

改性粉煤灰在酸雾治理方面的研究

为去除化工生产等过程中产生的酸雾废气,首先用水作用法、微波法和传统湿法对粉煤灰进行改性试验,结果显示:传统湿法中的碱法效果最佳,改性后粉煤灰的BET比表面积是改性前的8.23倍.再用改性后的粉煤灰与廉价易得的天然矿物沸石和熟石灰作为活性组分,制得一种新型的复合吸附剂.常温常压下,动态吸附盐酸雾,实验结果表明:由改性粉煤灰制作的吸附剂G对盐酸雾的吸附性能比未经改性的吸附剂W有所提高,在文中所述条件下,饱和吸附量由改性前的331.4 mg/g提高到改性后的445.2 mg/g.     

废食用油活性炭脱色工艺的研究

脱色处理是提高废食用油油品质量、利用其生产生物柴油的关键环节之一.研究餐饮废食用油活性炭吸附脱色工艺,考察典型木质活性炭和煤基活性炭对脱色效果的影响,并将活性炭结构、性能指标与其脱色能力进行关联.结果表明,以弱粘性煤和褐煤为原料制备的活性炭对废食用油脱色效果较好;活性炭的总孔容积、总比表面积、微孔比表面积、微孔容积、碘值和亚甲基蓝值等性能指标与脱色效果关联度不大,而活性炭的孔径和中孔容积是决定活性炭脱色效果的主要指标.优化后废食用油活性炭脱色工艺的主要参数是:活性炭用量7%,炭粒度100～300目,脱色温度90～120℃,吸附时间为30 min,搅拌速度为10 r/min,废食用油的脱色率在50%～65%.     

碱熔融法合成NaA和NaX型粉煤灰沸石的品质表征

以粉煤灰为原料采用碱熔融法合成了2种单一沸石矿物种的NaA和NaX型沸石,并对产物的结构、性能和应用指标进行了详细表征.经x射线衍射和IR光谱分析,表明合成产物是无杂晶生成的NaA和NaX型沸石相;在扫描电镜观察下,产物分别具有NaA和NaX型沸石的立方体和八面体晶体骨架结构.DTA分析表明了合成产物中沸石水的存在,且产物热稳定性较好.通过对比,粉煤灰合成的NaA和NaX型沸石的比表面积达到了相应商品沸石的66.9%和83.6%;孔容为41.1%和70.2%;阳离子交换容量(CEC,cation exchange capacity)为82.93%和84.31%.通过比较化学组成表明,大规模应用合成产物不会对环境造成危害.     

典型铬渣简易掩埋场铬渣及土壤铬污染特征和处置分析

通过钻孔采样分析,研究了典型铬渣简易掩埋场地下铬渣及土壤铬中Cr6 、总Cr的分布特征和污染状况,结果表明,铬渣简易掩埋场铬污染程度严重,引起了周边和地下深部较大面积的土壤污染,深度达到了地下的基岩.铬含量在土壤层剖面中分布呈现规律性变化,即随土壤深度增加,Cr6 、总Cr含量逐渐下降,但绝大多数超过了危险废物毒性鉴别标准.从铬污染程度上看,总体上存在铬渣>土壤>人工填土.在此基础上,提出了铬渣及污染土壤的处置方式,为铬渣污染治理和资源化利用提供科学依据.     

QUAL2K模型在西苕溪干流梅溪段水质模拟中的应用

QUAL2K是一维稳态水质模型,由美国环保局开发并在QUAL2E模型的基础上发展起来的.采用QUAL2K模型对西苕溪干流梅溪段的水质进行了模拟和预测.针对西苕溪的具体情况,选用COD、氨氮和总磷作为模拟预测指标,用模型率定法并参考相关文献确定了COD降解系数Kc、氨氮降解系数Kn和总磷平衡系数Kp等水质参数,并对模拟结果进行了验证,结果表明预测值和实测值的相关性较好.     

类芦对铅的耐性及富集能力探讨

通过野外调查和盆栽试验,研究了类芦(Neyraudia reynaudiana)对Pb的耐性和富集能力.研究结果表明,类芦对Pb耐受的临界浓度为800 mg/kg,在此浓度以下Pb对类芦的生长基本无抑制作用.随着处理浓度的增加,类芦生长变缓慢、出现中毒症状,但仍能存活.从富集能力来看,土壤Pb为中低浓度时,类芦的富集能力较强,但Pb浓度超过1 000 mg/kg后地上部富集量增加缓慢,而根部的含量则降低.在各种Pb处理浓度下,类芦地上部Pb含量均大于根部,说明这种植物对Pb有较好的迁移能力.研究发现,类芦具有较高的生物量,因此其地上部Pb迁移总量较高,在土壤Pb浓度为800 mg/kg时类芦地上部的迁移总量可达到221.77 mg/m2.综合分析可知,类芦对中度Pb污染土壤的植物修复具有较大的潜力.     

活性污泥对甲醛废水的净化性能

采用微生物法处理低浓度甲醛废水达标排放是比较经济的方法之一.在研究中采用序批式活性污泥法(SBR)工艺,考察了曝气时间、进水甲醛浓度、进水 pH 和水温对微生物净化低浓度甲醛废水的影响.结果表明,随着曝气时间的延长,活性污泥对甲醛的去除率增大.进水甲醛浓度在 40～120 mg/L 范围内,随着浓度升高甲醛污泥负荷增加,微生物对甲醛的降解速率增加,但对甲醛的去除率降低.活性污泥在 pH 为 5～7 的中性和弱酸性环境中对甲醛的降解速率较高.在15～35℃范围内,污泥对废水中甲醛的去除率随温度升高而上升,微生物对甲醛的降解速率随温度升高呈指数递增趋势.     

Non-microcystin producing Microcystis wesenbergii (Komárek) Komárek (Cyanobacteria) representing a main waterbloom-forming species in Chinese waters

It is well known that several morphospecies of Microcystis, such as Microcystis aeruginosa (Kützing) Lemmermann and Microcystis viridis (A. Brown) Lemmermann can produce hepatotoxic microcystins. However, previous studies gave contradictory conclusions about microcystin production of Microcystis wesenbergii (Komárek) Komárek. In the present study, ten Microcystis morphospecies were identified in waterblooms of seven Chinese waterbodies, and Microcystis wesenbergii was shown as the dominant species in these waters. More than 250 single colonies of M. wesenbergii were chosen, under morphological identification, to examine whether M. wesenbergii produce hepatotoxic microcystin by using multiplex PCR for molecular detection of a region (mcyA) of microcystin synthesis genes, and chemical analyses of microcystin content by ELISA and HPLC for 21 isolated strains of M. wesenbergii from these waters were also performed. Both molecular and chemical methods demonstrated that M. wesenbergii from Chinese waters did not produce microcystin.     

Seasonal and spatial occurrence and distribution of atmospheric polycyclic aromatic hydrocarbons (PAHs) in rural and urban areas of the North Chinese Plain

Passive air sampling (PAS) was employed to study the occurrence of gaseous and particle-bound PAHs in the North Chinese Plain. The averaged concentrations of gaseous and particle-bound PAHs were 485 ± 209 ng/m³ and 267 ± 161 ng/m³, respectively. The PAHs concentrations at urban sites were generally higher than those at rural ones with ratios <1.5 in spring, summer and fall, but differences between them were not significant for the wintertime and annually averaged concentrations. This urban-rural distribution pattern was related to the PAHs emission sources. PAHs spatial variation can be partially (49%) explained by emission with a simple linear regression method. Both the gaseous and particle-bound PAHs were highest in winter and lowest in summer, with winter/summer ratios of 1.8 and 8, respectively. Emission strength was the most important factor for the seasonality.