改良AB生化法处理革基布废水应用实践

针对聚氨酯合成革基布生产废水处理工艺存在的处理成本高、污泥产量大、处理效果差等问题。现结合实例分析了改良AB生化法处理革基布废水的工艺流程,实际应用表明该工艺具有可操作性强、高效、运行稳定、低运行成本等优点。     

钼矿区污灌菜地土壤重金属污染的生态风险预警评价

通过对钼矿区地下水进行重金属含量分析,发现地下水已受重金属污染。该受污染地下水为矿区菜地唯一灌溉用水。本文研究钼矿区污灌菜地土壤的重金属污染现状及生态风险。选取矿区、尾矿区、选矿区周边菜地的土壤样本60个,用HNO3-HF-HClO4处理后,采用等离子体发射光谱仪（ICP-AKS）测定土壤样品中Pb、As、Hg、Cr、Cd、Zn、Cu、Ni的全量,采用生态风险指数进行生态风险预警评价。结果表明：矿区、尾矿区、选矿区周边受污染菜地尾矿区农田土壤的生态风险指数（IER）分别为59．42、80．60、154．83,其预警类型均为重警;污染程度为矿区菜地〈尾矿区菜地〈选矿区菜地。     

混凝-氧化法处理印染废水的实验研究

实验使用混凝-氧化法对印染废水进行处理,采用混凝-氧化法不仅能有效地去除废水中的固体悬浮物和颜色,而且也能去除大部分的CODCr,去除率在60%～70%左右。本研究采用混凝沉淀与氧化的组合工艺对其进行处理实验,着重研究了有关工艺条件与CODCr去除率的关系。用混凝-氧化法处理印染废水,确定最佳混凝和氧化条件。实验中考察了pH值、混凝剂加入量、沉降时间、氧化剂加入量和氧化时间等对CODCr去除率的影响。     

五孔支撑纤维膜在MBR运行中的特性研究

实验室自行研发的PVDF/PMMA/TPU共混体系的五孔支撑膜具有高强度耐冲击的特点,在一定程度上改善了传统中空纤维膜的断丝情况。将选择典型的、具有代表性的MBR工艺流程,采用自主研发的五孔膜制成帘式组件,用于处理经水解酸化后的印染废水。实验讨论了水力停留时间,曝气强度和污泥浓度对于出水水质的影响,最后确定最优的操作条件为:MBR的水力停留时间为20 h,曝气强度为2.45 m/m.h,污泥浓度为4 500 mg/L。     

厌氧生物处理技术应用研究与展望

综述了厌氧处理工艺应用于工业废水处理的研究进展,并对厌氧工艺与好氧工艺进行了对比,总结了厌氧工艺的特性;阐释了厌氧工艺的应用现状及未来的发展趋势,重点介绍了厌氧流化床反应器(AFBR)、上流式厌氧滤池、上流式厌氧污泥床反应器(UASB)、厌氧折流板反应器(ABR)、颗粒污泥膨胀床反应器(EGSB)、复合厌氧反应器。     

污水处理厂污泥细菌总数和粪大肠菌群的检测

分别采用《城市污水处理厂污泥检验方法》（CJ／T221—2005）中平皿计数法和多管发酵法检测分析呼和浩特市周边7个城镇污水处理厂、2个制药企业以及2个乳制品企业污泥中的细菌总教和粪大肠菌群茵值。结果显示：供试样品的细菌总数为1．0×10^6～1．3×10^8个／g,其中细菌含量最高的是乳制品企业l污泥样品,最低的是污水处理厂4污泥样品。粪大肠菌群菌值为2．0×10^5-5．4×10^8个／g,其中粪大肠茵群菌值最高的是污水处理厂2和污水处理厂5污泥样品,最低的是污水处理厂4和制药企业1污泥样品,乳制品企业污泥样品的粪大肠菌群茵值居中。     

Fenton氧化技术在废水处理方面的应用

Fenton氧化技术是高级氧化技术的一种,是处理难降解的废水是常用的技术之一。本文对Fenton氧化技术原理和影响因素进行分析,并对Fenton氧化技术在电镀废水、染料废水、造纸废水中的应用进行了研究。     

胭脂红酸分光光度法测定废水中硼

用胭脂红酸分光光度法测定废水中的硼，着重进行了方法的条件和干扰试验。方法检测限为0.063mg/L，线性范围为0.21mg/L-1.25mg/L。5个实验室对5.00mg/L硼标准样品测得重复性相对标准差为3．4％，再次性相对标准差为3．6％；相对误差为－0．8％－1．4％，回收率在95．2％－104．6％之间。     

Chlorinated solvents in a petrochemical wastewater treatment plant: an assessment of their removal using self-organising maps

The self-organising map approach was used to assess the efficiency of chlorinated solvent removal from petrochemical wastewater in a refinery wastewater treatment plant. Chlorinated solvents and inorganic anions (11 variables) were determined in 72 wastewater samples, collected from three different purification streams. The classification of variables identified technical solvents, brine from oil desalting and runoff sulphates as pollution sources in the refinery, affecting the quality of wastewater treatment plant influent. The classification of samples revealed the formation of five clusters: the first three clusters contained samples collected from the drainage water, process water and oiled rainwater treatment streams. The fourth cluster consisted mainly of samples collected after biological treatment, and the fifth one of samples collected after an unusual event. SOM analysis showed that the biological treatment step significantly reduced concentrations of chlorinated solvents in wastewater.     

Optimal Expansion Strategy for a Sewer System under Uncertainty

Because of fast urban sprawl, land use competition, and the gap in available funds and needed funds, municipal decision makers and planners are looking for more cost-effective and sustainable ways to improve their sewer infrastructure systems. The dominant approaches have turned to planning the sanitary sewer systems within a regional context, while the decentralized and on-site/cluster wastewater systems have not overcome the application barriers. But regionalization policy confers uncertainties and risks upon cities while planning for future events. Following the philosophy of smart growth, this paper presents several optimal expansion schemes for a fast-growing city in the US/Mexico borderlands—the city of Pharr in Texas under uncertainty. The waste stream generated in Pharr is divided into three distinct sewer sheds within the city limit, including south region, central region, and north region. The options available include routing the wastewater to a neighboring municipality (i.e., McAllen) for treatment and reuse, expanding the existing wastewater treatment plant (WWTP) in the south sewer shed, and constructing a new WWTP in the north sewer shed. Traditional deterministic least-cost optimization applied in the first stage can provide a cost-effective and technology-based decision without respect to associated uncertainties system wide. As the model is primarily driven by the fees charged for wastewater transfer, sensitivity analysis was emphasized by the inclusion of varying flat-rate fees for adjustable transfer schemes before contracting process that may support the assessment of fiscal benefits to all parties involved. Yet uncertainties might arise from wastewater generation, wastewater reuse, and cost increase in constructing and operating the new wastewater treatment plant simultaneously. When dealing with multiple sources of uncertainty, the grey mixed integer programming (GIP) model, formulated in the second stage, can further allow all sources of uncertainties to propagate throughout the optimization context, simultaneously leading to determine a wealth of optimal decisions within a reasonable range. Both models ran for three 5-year periods beginning in 2005 and ending in 2020. The dynamic outputs of this analysis reflect the systematic concerns about integrative uncertainties within this decision analysis, which enable decision makers and stakeholders to make all-inclusive decisions for sanitary sewer system expansion in an economically growing region.