一种新型平流式沉淀池运行效果研究

在进水口加设调流板、溢流堰上沿水流方向设置溢流槽两个方面对传统平流式沉淀池进行了改进,设计提出了一种新型平流式沉淀池。通过试验研究分析了调流板和溢流槽对泥砂沉淀效果的影响,得出新型平流式沉淀池可以大大提高泥砂的沉淀效率,出池水流平均含砂量最大降幅可达94.8%,特别是对细颗粒泥砂的沉淀具有较好的效果。     

冬季淹水稻田CH_4产生、氧化和排放规律及其影响因素研究

采用静态箱/气象色谱法——田间原位观测和室内培养试验连续一年研究了冬季淹水稻田的CH4产生潜力、氧化潜力和排放通量,以探讨冬季淹水稻田CH4产生、氧化和排放的季节变化规律及其影响因素。结果表明：0~251 d（d表示淹水后天数）,CH4产生潜力逐渐增大,到251 d达最大值,之后逐渐减小;0~204 d,CH4氧化潜力变化较小,但到235 d急剧增至最大值,随后逐渐减小;0~169 d,稻田几乎没有CH4排放,192 d才开始有较明显的CH4排放,到230 d达最大值,为80.2 mg.m-2.h-1,随后逐渐减小,331 d出现一个CH4排放高峰。全观测期内CH4排放量为69.9 g.m-2,其中非水稻生长期排放6.7 g.m-2,占总量的9.5%。全观测期内CH4产生潜力与土温及土壤Eh均无显著相关性;全观测期内CH4氧化潜力与土温极显著正相关（P〈0.01）,水稻生长期CH4氧化潜力与土壤中氨氮含量呈极显著正相关（P〈0.01）;全观测期内稻田CH4排放与土温和CH4产生潜力两个因素均显著正相关（P〈0.05）而与土壤Eh呈显著负相关（P〈0.05）。     

稻草还田方式对双季稻田耕层土壤有机碳积累的影响

选择南方典型双季稻田,研究不同的稻草还田方式对土壤不同层次有机碳的积累、表土碳密度、C/N比值及水稻产量的影响。结果表明,不同的稻草还田和耕作处理对水稻产量无显著影响;不同稻草还田处理的土壤有机碳和C/N均随土层加深而减小;3个稻草还田处理0-5 cm土层土壤有机碳质量分数显著高于不还田对照,其中,以高桩免耕处理最高,比无草翻耕处理提高13.8%（P〈0.01）;5-10 cm土层表现为高桩翻耕处理显著高于其他处理,增加幅度为1.39-1.66 g kg-1;10-15 cm为翻耕处理（包括稻草不还田和还田）显著高于各免耕处理;稻草翻耕处理（0-15 cm）的耕层有机碳密度显著高于其他处理。因此,南方双季稻田采取稻草翻耕还田方式有利于增加土壤有机碳汇。     

Biosorption of Cr(III) from aqueous solution by freeze-dried activated sludge: Equilibrium,kinetic and thermodynamic studies

Batch biosorption experiments were conducted to remove Cr(III) from aqueous solutions using activated sludge from a sewage treatment plant. An investigation was conducted on the effects of the initial pH, contact time, temperature, and initial Cr(III) concentration in the biosorption process. The results revealed that the activated sludge exhibited the highest Cr(III) uptake capacity (120 mg·g⁻¹) at 45°C, initial pH of 4, and initial Cr(III) concentration of 100 mg·L⁻¹. The biosorption results obtained at various temperatures showed that the biosorption pattern accurately followed the Langmuir model. The calculated thermodynamic parameters, ΔG^o (−0.8– −4.58 kJ·mol⁻¹), ΔH^o (15.6–44.4 kJ·mol⁻¹), and ΔS^o (0.06–0.15 kJ·mol⁻¹·K⁻¹) clearly indicated that the biosorption process was feasible, spontaneous, endothermic, and physical. The pseudo first-order and second-order kinetic models were adopted to describe the experimental data, which revealed that the Cr(III) biosorption process conformed to the second-order rate expression and the biosorption rate constants decreased with increasing Cr(III) concentration. The analysis of the values of biosorption activation energy (E_a = −7 kJ·mol⁻¹) and the intra-particle diffusion model demonstrated that Cr(III) biosorption was film-diffusion-controlled.     

无机纳米颗粒的加入对复合超滤膜成膜过程的影响

为了提高有机高分子材料聚偏氟乙烯(PVDF)超滤膜的亲水性,增强其在污水处理中的抗污染能力,采用无机纳米氧化钛(TiO2)和氧化铝(Al2O3)颗粒对PVDF进行改性,制备(TiO2+Al2O3)/PVDF改性复合超滤膜。为考察无机纳米颗粒对复合超滤膜成膜过程的影响,采用浊点滴定法测定铸膜液体系的分相点,绘制三元相图,以考察纳米颗粒的加入对PVDF超滤膜成膜过程中的热力学影响;采用紫外分光光度计测定铸膜液体系的透光度下降曲线,考察纳米颗粒对PVDF成膜过程中的动力学影响。结果表明:纳米颗粒的加入降低了铸膜液容纳非溶剂的能力,使其在较小的非溶剂浓度下即可固化成膜;纳米颗粒使铸膜液中溶剂与非溶剂双向扩散的传质阻力增加,缩短了铸膜液浸入凝胶浴瞬间至固化成膜的时间。     

改进的稳健统计技术在排水检测人员技能评价中的应用

目前排水检测行业中仍缺乏对技术人员进行技能评价的方法,或虽有评价方法,但方法存在不尽规范、合理等问题。稳健统计技术作为能力验证试验中广泛使用的结果评价方法,可消除异常数据的影响,使评价结果准确可靠。将稳健统计技术改进,作为技能评价要素中的一个分量,按照操作的准确性、规范性与熟练性三个方面评价排水检测人员检测数据结果,可以较科学、合理地反映检测人员的技能水平,为提高检测工作质量和实验室管理起到一定的借鉴作用。     

原子荧光法测定污泥中总砷含量的不确定度评定

对采用原子荧光法测定污泥中总砷过程中引入的不确定度进行分析,找出了影响测定结果的因素,并对各不确定度分量及合量进行了评定。测量不确定度主要来源于试样称量、标准溶液配制、工作曲线拟合、污泥含水率、各种玻璃量器的使用及测量重复性。其中样品预处理、样品消解液中总砷的质量浓度及污泥含水率所产生的不确定度较大。这对进一步优化试验方法,提高检测结果的准确性有重要意义。     

煤矿酸性矿井水的形成及主要处理技术

酸性矿井水是煤矿区环境地质灾害的一种重要类型。煤矿酸性矿井水是煤矿开采中由于硫铁矿与空气、水接触,在微生物作用下经过一系列地球化学反应产生的一种危害矿井生产、破坏生态环境的有害矿井排水。文章首先分析了酸性矿井水的形成机理,然后从酸性矿井水的危害入手,分析评价酸性矿井水各种处理方法的优缺点,并对酸性矿井水的处理技术进行总结,最后展望酸性矿井水处理的未来发展方向。     

PAN—ACF吸附洗车废水的实验研究

实验以洗车废水为研究对象,研究了聚丙烯腈活性炭纤维（PAN—ACF）去除水中LAS的效果,考察了PAN—ACF的用量、时间、温度以及pH对吸附效果的影响。模拟废水和实际洗车废水的实验研究表明：当废水中LAS浓度为10mg／L时,在处理最佳时间为5min、最佳用量为0．5g/L、常温弱酸性的条件下,LAS的去除率能达到92％以上。此外PAN—ACF对废水中的CODcr及NH3-N也能有效地去除,用NaOH溶液再生后对LAS吸附性更好。     

Development of Customized Fire Behavior Fuel Models for Boreal Forests of Northeastern China

Knowledge of forest fuels and their potential fire behavior across a landscape is essential in fire management. Four customized fire behavior fuel models that differed significantly in fuels characteristics and environmental conditions were identified using hierarchical cluster analysis based on fuels data collected across a boreal forest landscape in northeastern China. Fuel model I represented the dense and heavily branched Pinus pumila shrubland which has significant fine live woody fuels. These forests occur mainly at higher mountain elevations. Fuel model II is applicable to forests dominated by Betula platyphylla and Populus davidiana occurring in native forests on hill slopes or at low mountain elevations. This fuel model was differentiated from other fuel models by higher herbaceous cover and lower fine live woody loading. The primary coniferous forests dominated by Larix gmelini and Pinus sylvestris L. var. mongolica were classified as fuel model III and fuel model IV. Those fuel models differed from one another in average cover and height of understory shrub and herbaceous layers as well as in aspect. The potential fire behavior for each fuel model was simulated with the BehavePlus5.0 fire behavior prediction system. The simulation results indicated that the Pinus pumila shrubland fuels had the most severe fire behavior for the 97th percentile weather condition, and had the least severe fire behavior under 90th percentile weather condition. Fuel model II presented the least severe fire potential across weather conditions. Fuel model IV resulted in greater fire severity than Fuel model III across the two weather scenarios that were examined.