Auto-adaptive Air Distribution and Structure Optimization of Ejector Burner for Biomass Alcohol Fuels

A plenty of studies on the utilization of biomass alcohol fuels have been conducted, but combustion efficiency and stability of this fuels still need to be improved. Based on biomass alcohol fuels (bio-methanol and bio-ethanol), this paper studied auto-adaptive air distribution characteristics and optimum structure parameters of an ejector burner by numerical simulation method. Also, an experiment was conducted to verify the numerical results. The results show that the mole air entrainment ratio (MAER) keeps almost constant when the ejector fuel nozzle exit locates at the segment between the ejector throat and the suction chamber entrance, but a bigger ratio α would lead to a higher MAER till the α is bigger than 8.5 for bio-methanol and 11.5 for bio-ethanol. The bio-ethanol fuel is more beneficial for air carrying role because of its big molecular weight. Operation pressure (P_w) has a little impact on MAER of the two fuels, but the rise of back pressure (P_b) would lead to rapid decrease of MAER for the two fuels. For the optimum structure burners, the MAER can be maintained at the value of theoretical complete combustion. Its changing rate is less than 2.3% for bio-methanol and 2.5% for bio-ethanol when the burner load changes from 30% to 120%, which is highly consistent with the experimental results. The optimum burner can distribute air supply automatically with the changing of burner load.     

附着硅藻指数在河流水质监测中的适用性技术研究

对广西龙江和柳江中段共18个样点进行了附着硅藻的采样调查,并采用相关分析法、主成分分析法、最优分割分类法、箱须图法、逐步判别分析法和双向指示种分类法等数学方法研究分析了16个硅藻指数在龙江与柳江中段水质监测中的适用性.结果表明,3次4组不同水质类别中,IPS(Specific Pollution Sensitivity Index)和TDI(Trophic Diatom Index)指数与样点的箱须图都表现出合理的趋势,而且IPS和TDI间、及与环境因子及其他硅藻指数间的相关性显著.表明IPS和TDI适合进行龙江与柳江中段的水质生物监测评价,而本文提出的硅藻指数适用性技术也具有一定的推广价值.     

龙江底栖硅藻群落特征及与环境因子的关系

2013年9月份龙江流域设20个采样点,共鉴定出硅藻30属163种。硅藻群落特征分析表明,上游河段的硅藻相对密度比下游河段的大,水质相对较好,硅藻种类数的变化与河流水质的变化没表现出明显的规律性。RDA分析表明8个环境因子共解释了硅藻群落变异的51.3%,并筛选出溶解氧、温度、电导率和海拔为影响硅藻群落变异和空间分布的显著因子,能解释硅藻群落结构变异的30.9%,占总环境因子解释量的60.23%。硅藻相对密度、硅藻种类数与环境因子的相关分析、聚类分析和回归分析表明,硅藻种类数与环境因子间不存在明显的相关关系,而硅藻相对密度则与海拔存在显著的相关关系。     

臭氧+曝气生物滤池深度处理工艺试验研究

针对某污水厂出水不达标的情况,本研究采用臭氧(O3)和曝气生物滤池(BAF)组合工艺对其进行深度处理.结果表明,当采用两级臭氧+曝气生物滤池工艺时,出水COD在31～46 mg/L,色度在13～29倍,均达到一级A排放标准.在最佳运行条件下,臭氧氧化使相对分子质量大于50 000的有机物含量减少10％,小于1 000的有机物含量增加14％.曝气生物滤池工艺使相对分子质量小于1 000的有机物含量降低了24％.     

重金属污染重点防控区综合防控模式与政策分析

《"十二五"规划重金属污染综合防治》实施以来,各个防控区域结合各自重金属污染成因与特点,围绕产业结构调整、清洁生产源头控制、污染物末端治理、环境修复整治等综合防控措施,探讨不同的区域综合整治途径和政策,在实践中形成了五种不同类型的区域防控模式。本文分析了五种防控模式的特点,每种模式以一个典型的防控区域为案例,分析了该防控区实施区域综合防控的做法,从而阐释不同防控模式下不同的策略与政策。     

典型印染废水处理过程中芳香烃化合物的污染特征及污泥生态风险评价

采用GC-MS测定了典型综合印染废水处理厂废水和污泥中芳香烃化合物的含量.结果表明,原水中苯系物总量为203.96±15.18μg·L-1,其中二甲苯占62.7%,尾水中苯系物总量为0.2±0.029μg·L-1,整个处理工艺对苯系物的去除效率为99%.原水中多环芳烃(PAHs)总浓度达1349.51±35.77 ng·L-1,以3—6环为主,主要富集在颗粒物上.整个工艺对PAHs的去除效率为95%,尾水中PAHs总浓度为65.81±20.99ng·L-1,以2—3环为主.干污泥中PAHs含量高达2996.10±151.0 ng·g-1,污泥吸附为水相中PAHs去除的主要机理之一.印染污泥直接填埋或农用会引起潜在的生态危害.     

配套养殖体系中部分抗生素的污染特征

采用超声提取-固相萃取-高效液相色谱串联质谱技术分析配套养殖体系粪便、水体和沉积物中4种磺胺类(SAs)、2种四环素类(TCs)、2种大环内酯(MLs)和2种喹诺酮类(QLs)抗生素的含量和分布特征.研究结果显示,在水体中共检出8种抗生素,浓度在ND—382 ng·L-1,2种四环素类抗生素未被检出,且水体中抗生素的浓度呈现旱季高于雨季;沉积物中共检出7种抗生素,其浓度分别在ND—3400μg·kg-1范围内,磺胺嘧啶(SDZ)、磺胺甲噁唑(SMX)和罗红霉素(RTM)未被检出;在猪粪和鸭粪中均检出甲氧苄啶(TMP)、诺氟沙星(NFX)、脱水红霉素(ETM-H2O)和罗红霉素(RTM),同时猪粪中还检出2种四环素类,鸭粪中检出磺胺二甲嘧啶(SMZ)和环丙沙星(CFX),其中鸭粪中甲氧苄啶的最高浓度达到6.11 mg·kg-1.研究结果表明,不同介质中抗生素的含量存在一定差异,其中磺胺类抗生素在水体中浓度最高,喹诺酮类和四环素类在沉积物中的浓度最高;粪便中抗生素的种类与施药的种类密切相关,并且可能会加剧抗生素对水体环境的污染.     

碳中和趋势下数学模拟在污水处理系统中的发展与综合应用

数学模拟技术在污水处理方面被广泛应用,为了系统总结相关技术,本文回顾了污水处理系统中数学模拟技术的发展历程;综述了活性污泥模型(ASM)与机器学习(ML)在水质预测及参数工况优化领域中的应用;重点探究了污水处理系统中温室气体排放模型,以及多目标优化模型在污水处理系统中温室气体排放(GHG)、出水质量(EQI)和运行成本(OCI)的权衡问题;归纳了数学模拟技术在实现污水厂能量自给与资源回收的应用发展.研究结果表明数学模拟技术能准确预测出水水质、快速优化工艺参数、权衡温室气体排放、出水水质与运行成本之间的关系、以及提高资源回收效率等.因此,数值模拟技术可有效指导污水处理工艺的运行优化以及管理,为污水处理行业减污降碳协同增效提供技术支撑.     

Dosing low-level ferrous iron in coagulation enhances the removal of micropollutants, chlorite and chlorate during advanced water treatment

Drinking water utilities are interested in upgrading their treatment facilities to enhance micropollutant removal and byproduct control. Pre-oxidation by chlorine dioxide (ClO₂) followed by coagulation-flocculation-sedimentation and advanced oxidation processes (AOPs) is one of the promising solutions. However, the chlorite (ClO₂^–) formed from the ClO₂ pre-oxidation stage cannot be removed by the conventional coagulation process using aluminum sulfate. ClO₂^– negatively affects the post-UV/chlorine process due to its strong radical scavenging effect, and it also enhances the formation of chlorate (ClO₃^–). In this study, dosing micromolar-level ferrous iron (Fe(II)) into aluminum-based coagulants was proposed to eliminate the ClO₂^– generated from ClO₂ pre-oxidation and benefit the post-UV/chlorine process in radical production and ClO₃^– reduction. Results showed that the addition of 52.1-µmol/L FeSO₄ effectively eliminated the ClO₂^– generated from the pre-oxidation using 1.0 mg/L (14.8 µmol/L) of ClO₂. Reduction of ClO₂^– increased the degradation rate constant of a model micropollutant (carbamazepine) by 55.0% in the post-UV/chlorine process. The enhanced degradation was verified to be attributed to the increased steady-state concentrations of HO^· and ClO^· by Fe(II) addition. Moreover, Fe(II) addition also decreased the ClO₃^– formation by 53.8% in the UV/chlorine process and its impact on the formation of chloro-organic byproducts was rather minor. The findings demonstrated a promising strategy to improve the drinking water quality and safety by adding low-level Fe(II) in coagulation in an advanced drinking water treatment train.