Virtues of simple hydro-economic optimization: Baja California, Mexico

This paper uses simple hydro-economic optimization to investigate a wide range of regional water system management options for northern Baja California, Mexico. Hydro-economic optimization models, even with parsimonious model formulations, enable investigation of promising water management portfolios for supplying water to agricultural, environmental and urban users. CALVIN, a generalized hydro-economic model, is used in a case study of Baja California. This drought-prone region faces significant challenges to supply water to agriculture and its fast growing border cities. Water management portfolios include water markets, wastewater reuse, seawater desalination and infrastructure expansions. Water markets provide the flexibility to meet future urban demands; however conveyance capacity limits their use. Wastewater reuse and conveyance expansions are economically promising. At current costs desalination is currently uneconomical for Baja California compared to other alternatives. Even simple hydro-economic models suggest ways to increase efficiency of water management in water scarce areas, and provide an economic basis for evaluating long-term water management solutions.     

稠油污水回用热采锅炉技术研究

针对曙光油田稠油污水的特点,在原有工艺流程的基础上,根据实际处理能力,选择合适的设备,对不同的污染物采取优先强化处理和逐段处理方式,在曙四联进行了现场试验,确定了最佳运行参数及合理的加药量。结果表明:稠油污水深度处理后达到锅炉回用水指标,真正实现污水资源化。此项研究符合清洁生产和循环经济的核心理念,实现了污水的资源化,取得了良好的经济、环境和社会效益。     

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.     

阿海水电站新源沟砂石加工废水处理工艺浅谈

新源沟砂石加工系统生产废水SS浓度高,采用水力旋流/加药絮凝/多级沉淀工艺处理,运行结果表明,处理出水水质满足《污水综合排放标准》（GB8978-1996）一级标准中的给定限值70mg/L,达标出水全部回用。     

清浊分流条件下的混凝-臭氧处理棉针织印染清废水

根据污染源头控制和废水回用的要求,对典型棉针织染整厂的不同生产过程废水排水水质特征进行了统计分析,提出了较实用的废水源头清浊分流方案。在此基础上重点研究了混凝-臭氧组合工艺对清废水处理效果,确定了最优的工艺条件。结果表明,清废水主要为洗水,占废水总量的25%～30%;混凝-臭氧组合工艺的最优工艺条件为：pH为6～9,PAC投加量为48 mg/L,PAM投加量为1.0 mg/L,臭氧接触时间为12 min（臭氧浓度为14.5 mg/L）,这时,清废水COD、色度去除率分别为71%和98%,实践证明,出水水质完全能够满足染整生产。     

炼油废水处理的现状、问题及对策

针对原油性质日趋恶劣、排放标准日益严格的形势,介绍了炼油废水的处理现状,分析了炼油废水在达标排放、处理回用、运行成本等方面面临的主要问题,提出了从源头挖掘节水减排潜力、实施装置排水分级控制与高浓度废水预处理、对废水处理场进行适度改造和补充完善、开发含盐废水处理技术等对策。     

大港油田苦咸再生水反渗透工艺自动控制研究

分析了大港油田污水回用深度处理工程苦咸再生水反渗透工艺仪表配置及自动控制方式,介绍了苦咸再生水反渗透系统亟待解决的各类问题。着重论述了仪表设置、余氯控制、结垢污堵控制、微生物污堵控制的实际运行方式,探讨了苦咸再生水反渗透工艺的技术可行性和可靠性。     

电吸附对水中盐类、氨氮、COD的去除效果分析

电吸附技术作为高效、环境友好型的除盐、除氨氮技术,可应用与水的深度处理领域内。为了使污水回用达到工业用水的水质标准,对电吸附去除水中盐类、氨氮、COD的效果进行分析,结果表明,电吸附设备处理不同氨氮浓度的废水,对中低浓度的氨氮去除效果稳定,当进水氨氮浓度低于20 mg/L时,处理后出水氨氮浓度低于5 mg/L,COD浓度小于25 mg/L,达到回用标准;随着进水盐浓度的增大电吸附处理效果逐渐变差,在电导率低于2 500 μS/cm时除盐率在75%左右,氨氮去除率达到70%左右,COD去除率达到60%左右。经电吸附处理后的低氨氮浓度废水,TDS、氨氮浓度均可达到工业回用水标准。     

膜生物反应器(MBR)-反渗透(RO)工艺深度处理印染废水的实验研究

采用膜生物反应器（MBR）-反渗透（RO）工艺对印染废水进行了深度处理实验。原水经MBR系统处理后,COD去除率、ss去除率和色度去除率分别达89．9％、100％和87．5％。MBR系统处理出水进入反渗透（RO）系统进行处理,硬度去除率和除盐率分别达99．62％和99．64％,同时可进一步除去剩余的COD、色度。系统出水水质满足生产回用的要求。     

高炉瓦斯泥综合利用技术述评

瓦斯泥是高炉副产物,因其中富含锌,直接用于烧结会增加高炉锌负荷。在分析了瓦斯泥的矿物特征的基础上,综述了选矿法、化学浸出法、直接还原法等几种瓦斯泥有价成分的回收利用方法。选矿法根据碳、锌、铁的性质及赋存状态的差异分离各物质,具有工艺简单、成本低的优点,但分离不彻底、回收率低;化学浸出法使锌进入溶液而其他矿物不溶或微溶,分离效果较好,但处理量小,后续处理难度大;直接还原法是在高温下使瓦斯泥中的金属还原,锌蒸发后进入烟气,最终可得到含氧化锌较高的烟尘和含金属铁的脱锌瓦斯泥,该法适应性强、处理量大、分离效果好,是目前应用较为广泛的瓦斯泥处理方法,但其设备投资大。