多管旋风除尘器热态除尘效率的影响因素

根据对多管旋风除法器热态除尘效率大量测试实践，讨论了影响多管风除尘器除尘效率的制造质量，整体安装要求、运行管理及锅炉运行等因素，建议在应用推广中应予以重视。     

近十年水中硫化物测定方法的进展

评述了１９８５～１９９６年间报道的水中硫化物方法概况，内容包括：水样的预处理方法，水样测定的分光光度法，电化学法，原子吸收光谱以及其他分析方法等。     

地面水水样预处理技术研究

研究了地面水中重金属元素Cu、Zn、Cd、Pb、Cr、Ni及Hg溶解态与悬浮态的分离技术;采用原子吸收光谱法定量测定上述元素,并比较了分离后两态重金属元素的浓度差异。实验结果,重金属元素大部分以悬浮态存在于水体中,溶解态的含量极微。采用最佳的过滤分离(滤膜和滤纸)和离心分离技术,能得到较好的分离效果,而澄清分离是不可取的,因其难以规范化。指出在地面水分析中,必须建立严谨和统一的地面水预处理技术,才能保证环境分析数据的准确性和可比性。     

土壤重金属污染对蚯蚓（Opisthopora）影响的研究

研究了重金属污染区蚯蚓的群落结构、污染指示种类、以及污染影响的毒理指标．结果表明：随着重金属污染程度的增加，蚯蚓种类减少，蚯蚓体内重金属元素富集量增加．蚯蚓毒理实验表明：Ｃｄ中毒后过氧化物同工酶活性增加，脂酶同工酶活性减弱．Ｐｂ中毒后蚯蚓过氧化物酶和脂酶同工酶活性均增加．     

环境优先污染物的筛选原则、程序和方法

确定环境优先污染物,是控制和防治化学品污染的带有战略性的一项基础性工作。本文根据研究编别区域环境优先污染物名单中的实践,并借鉴国内外有关经验,就筛选环境优先污染物的有关原则、程序和方法进行探讨。     

改性ACF－PAN吸附SO_2前后表面结构变化及机机理究

以自制ＰＡＮ－基聚丙烯腈活性碳纤维ＡＣＦ－ＰＡＮ（ＡＣＦ－活性碳纤维、ＰＡＮ－聚丙烯腈）和改性处理的ＡＣＦ－ＰＡＮ吸附ＳＯ_２，借助ＩＲ、ｘ－光电子能谱分析等研究ＡＣＦ－ＰＡＮ改性处理及吸附ＳＯ_２前后表面结构变化。结果表明：各型ＡＣＦ－ＰＡＮ吸附ＳＯ_２的活性中心为表面结构中的含氮官能团以及引入的金属氧化物，其吸附机理是活性氮催化或电子传递。     

养猪场废水中SS与COD浓度的相关性分析

通过取样检测、实验分析,论证了养猪场废水中固体悬浮物(SS)含量与化学需氧量(COD)浓度的相关关系,讨论了SS对COD的影响趋势。结果表明,通过测定SS的含量,可以快速确定二沉池出水的COD浓度。     

Effects of four chlorobenzenes on serum sex steroids and hepatic microsome enzyme activities in crucian carp, Carassius auratus

Four chlorobenzenes (chlorobenzene, 1,3-dichlorobenzene, 1,4-dichlorobenzene, p-chloro-methylbenzene) were administrated to the crucian carps (Carassius auratus) by peritoneal injections in the laboratory for 30 days. Serum testosterone and 17 beta-estradiol concentrations were detected using radioimmunology assay (RIA), and the activities of two hepatic microsome enzymes, glutathione s-transferase (GST) and UDP-glucuronosyltransferase (UDPGT), were measured using the modified methods as described by Habig and Owens. Results showed that the four chlorobenzenes caused significant increases in serum testosterone concentration in the crucian carps (P < 0.05) compared to the controls, but they caused no significant effect on 17 beta-estradiol level. All test chemicals caused a change in hepatic GST activity in crucian carps, with significant increases in enzyme activity (P < 0.05). Chlorobenzene, 1,3-dichlorobenzene and p-chloro-methylbenzene resulted in a marked inhibition to UDPGT activity in crucian carp (P < 0.05) except 1,4-dichlorobenzene. The changes in hepatic microsome enzyme activities may have resulted in the alterations of serum sex steroids levels in the crucian carps. The results indicated that these four chlorobenzenes may result in the changes of endocrine functions and may affect the reproductive success of this and other species.     

Decolorization and biodegradability of photocatalytic treated azo dyes and wool textile wastewater

The photodegradation and biodegradability have been investigated for four non-biodegradable commercial azo dyes, Reactive YellowKD-3G, Reactive Red 15, Reactive Red 24, Cationic Blue X-GRL, an indicator. Methyl Orange, and one industrial wool textile wastewater, using TiO2 suspensions irradiated with a medium pressure mercury lamp. The color removal of dyes solution and dyeing wastewater reached to above 90% within 20-30 min. of photocatalytic treatment. Biochemical oxygen demand (BOD) was found to increase, while chemical oxygen demand (COD), total organic carbon (TOC) decreased, so that the ratio of BOD5/COD of the wastewater increased from original zero up to 0.75. The result implies that photocatalytic oxidation enhanced the biodegradability of the dye-containing wastewater and therefore relationship between decolorization and biodegradability exists. When the color disappeared completely, the wastewater biodegraded normally and could be discharged for further treatment. The experimental results demonstrate that it is possible to combine photocatalysis with conventional biological treatment for the remedy of wastewater containing generally non-biodegradable azo dyes.     

Spatial PM2.5 mobile source impacts using a calibrated indicator method

Motor vehicles are major sources of fine particulate matter (PM_2.5), and the PM_2.5 from mobile vehicles is associated with adverse health effects. Traditional methods for estimating source impacts that employ receptor models are limited by the availability of observational data. To better estimate temporally and spatially resolved mobile source impacts on PM_2.5, we developed an approach based on a method that uses elemental carbon (EC), carbon monoxide (CO), and nitrogen oxide (NO_x) measurements as an indicator of mobile source impacts. We extended the original integrated mobile source indicator (IMSI) method in three aspects. First, we generated spatially resolved indicators using 24-hr average concentrations of EC, CO, and NO_x estimated at 4 km resolution by applying a method developed to fuse chemical transport model (Community Multiscale Air Quality Model [CMAQ]) simulations and observations. Second, we used spatially resolved emissions instead of county-level emissions in the IMSI formulation. Third, we spatially calibrated the unitless indicators to annually-averaged mobile source impacts estimated by the receptor model Chemical Mass Balance (CMB). Daily total mobile source impacts on PM_2.5, as well as separate gasoline and diesel vehicle impacts, were estimated at 12 km resolution from 2002 to 2008 and 4 km resolution from 2008 to 2010 for Georgia. The total mobile and separate vehicle source impacts compared well with daily CMB results, with high temporal correlation (e.g., R ranges from 0.59 to 0.88 for total mobile sources with 4 km resolution at nine locations). The total mobile source impacts had higher correlation and lower error than the separate gasoline and diesel sources when compared with observation-based CMB estimates. Overall, the enhanced approach provides spatially resolved mobile source impacts that are similar to observation-based estimates and can be used to improve assessment of health effects.

Implications: An approach is developed based on an integrated mobile source indicator method to estimate spatiotemporal PM_2.5 mobile source impacts. The approach employs three air pollutant concentration fields that are readily simulated at 4 and 12 km resolutions, and is calibrated using PM_2.5 source apportionment modeling results to generate daily mobile source impacts in the state of Georgia. The estimated source impacts can be used in investigations of traffic pollution and health.