无银催化-分光光度法测定COD的研究

以XS-LP为催化剂,探讨了改进的无银催化HACH法测定污水中COD的系列条件实验。结果表明:在药剂A,B的投配比为1∶2,投加总量为12 g/L的条件下,其准确度、精密度与国标法有较好的可比性,分别小于10%和3%;对实际废水的测量结果与国标回流法的相关系数分别高达0.9951和0.9874,可满足一般环境检测技术规范要求。     

铈改性Al_2O_3担载Pd催化剂的CO氧化性能研究

浸渍法制备了Al2O3+CeO2为载体的Pd催化剂,对制备中各因素对催化剂效果的影响作了初步研究.考察了活性组分含量与催化荆性能的关系以及焙烧温度、水蒸气对催化剂活性的影响.结果表明,稀土Ce元素的存在使催化剂的性能得到明显改善.制备过程中焙烧步骤对催化剂的活性影响很大,催化剂制备必须高于600 ℃焙烧.     

表面活性剂清洗处理重度石油污染土壤

为了优化表面活性剂清洗处理重度石油污染土壤的方法和具体洗脱条件参数,采集山东省东营市胜利油田污染土壤,研究了阴离子-非离子混合表面活性剂对该土壤中石油类污染物的去除效果。应用化学热洗原理,主要考查了表面活性剂配比、投加量、清洗温度及清洗助剂对去除效果的影响。实验得到的清洗处理最佳条件为：使用LAS与TX-100质量比为8∶2的组合表面活性剂,总表面活性剂浓度为3 g/L,助剂硅酸钠浓度为5 g/L,75℃条件下搅拌1 h。清洗后土壤含油量从20%下降到4.6%,去除率达到76.9%。废水回用实验表明,清洗处理的废水对土壤中石油烃类物质仍有一定的去除效果。废水回用比从30%到100%时,对土壤中石油烃的去除率都可达到55%以上。对废水进行二次回用时仍能去除18.8%的污染物。     

3株反硝化聚磷菌的分离与鉴定

通过烛缸法培养富集、分离,结合除磷试验、硝酸盐还原产气试验及异染颗粒和PHB颗粒染色辅助检验相结合的方法筛选,得到3株具有较高脱氮除磷效率的反硝化聚磷菌DNPA8, DNPA9和DNPA10。在富氮富磷培养基中培养48 h,各菌株的脱氮率均大于75%,除磷率均大于78%。采用多相分类的方法确定了3株反硝化聚磷菌的分类地位,DNPA8为嗜麦芽寡养单胞菌,DNPA9为水生丛毛单胞菌属首次发现的反硝化聚磷菌;DNPA10为约翰逊氏不动杆菌。该研究结果为富营养化水体的治理提供了有效的菌种资源。     

高锰酸钾降解地下水中PCE的研究

以氯代有机污染物中常见的PCE为目标污染物,以自制高锰酸钾溶液为氧化剂,采用批实验方法,探讨了高锰酸钾降解PCE的反应动力学、影响因素以及反应机理。反应结果表明,高锰酸钾降解PCE的反应符合一级动力学方程,反应活化能E为57.119 kJ/mol,在30℃条件下,反应速率常数为0.0076 min^-1,半衰期为91.20 min。在pH在3～10,离子强度在0～0.1030 mol/L之间变化时,反应速率不受明显影响。     

含中间层的DSA电极电催化氧化硝基苯废水的研究

为了提高难降解有机废水的可生化性,以及更高效地去除废水中的特征污染物,同时避免二次污染,利用自制的含锡锑中间层的钌钯氧化物涂层电极对有机废水中的硝基苯进行处理,并利用SEM、XRD等方法对电极中间层、表层进行微观表征。微观测试表明,基体、中间层、表层之间结合力较强,有利于增强电极寿命;水处理实验表明,电催化氧化反应体系适合高浓度有机废水的处理,由于该反应体系需要外加电解质加强传质,这在实际运用中为废水中盐度的处理提供了一种新的途径,当电流密度为20 mA/cm²、电解质浓度为10 g/L、pH=5、极板间距=2 cm时,电催化氧化体系对硝基苯具有较高的去除效率。     

烟道气脱硫脱硝一体化技术进展＊

烟道气中SO2、NOx往往同时存在,但是实际中脱SO2、脱NOx两个过程相互影响,妨碍了两种污染物质的脱除。联合脱硫脱硝技术是烟气治理的发展方向。系统介绍了利用催化剂、类水滑石复合氧化物、活性炭、固体废物、电子束、脉冲电晕等脱硫脱硝的一体化技术,分析了其脱除过程及相关反应原理。比较探讨了各种方法的特点、应用情况,并对各类技术的应用前景进行了展望。     

衡水市空气主要污染物体积质量的时间分布特征

利用衡水市环境监测站2005—2007年度大气例行检测的数据,对衡水市大气中主要污染物SO^2、NO^2、PM10体积质量值的逐日数据进行统计分析,得出了衡水市空气污染的现状和时间变化规律：（1）污染物体积质量值的月变化曲线呈槽型分布,非取暖期的空气状况明显好于取暖期,取暖期SO^2平均体积质量是非取暖期的2．45倍;（2）污染物体积质量值的日变化曲线基本为两高两低型,其中取暖期污染指数早晨出现极高值的时间比非取暖期明显偏晚;（3）污染物体积质量值的年变化表明了SO^2的体积质量在降低,而NO^2的体积质量却有了小幅增长。     

Ecological risk assessment of open coal mine area

The coal mine areas in China have the serious conflicts between resources exploitation and ecology safety, therefore the coal mine ecological risk assessment is an important problem which relates to the sustainability of coal mines to regions and the whole country. In this study, open coal mine area serves as researching object, heavy metals, soil erosion and coast are screened out as risk resources, soil wireworm as the receiver of heavy metals risk, biotope ecosystem as the receiver of soil erosion and coast risk; ecological indexes are calculated with species background index, biological diversity index and natural degree index, ecological friability indexes are calculated with soil fertility index, plant coverage, plant species diversity index, soil wireworm index and maturity index, and the typical coal mine area assessment indexes system is established. In addition, the regional ecological risk assessment is conducted on the friable ecological system of Fuxin Haizhou open coal mine area. Examples are researched of Haizhou open coal mine, the coal mine risk distribution is established, and foundations are provided for the administrative decision-making.     

Development of an integrated sensor to measure odors

Odorous air samples collected from several sources were presented to an olfactometer, an electronic nose, a hydrogen sulfide (H(2)S) detector and an ammonia (NH(3)) detector. The olfactometry measurements were used as the expected values while measurements from the other instrumentation values became input variables. Five hypotheses were established to relate the input variables and the expected values. Both linear regression and artificial neural network analyses were used to test the hypotheses. Principal component analysis was utilized to reduce the dimensionality of the electronic nose measurements from 33 to 3 without significant loss of information. The electronic nose or the H(2)S detector can individually predict odor concentration measurements with similar accuracy (R (2) = 0.46 and 0.50, respectively). Although the NH(3) detector alone has a very poor relationship with odor concentration measurements, combining the H(2)S and NH(3) detectors can predict odor concentrations more accurately (R (2) = 0.58) than either individual instrument. Data from the integration of the electronic nose, H(2)S, and NH(3) detectors produce the best prediction of odor concentrations (R (2) = 0.75). With this accuracy, odor concentration measurements can be confidently represented by integrating an electronic nose, and H(2)S and NH(3) detectors.