进水水质成分改变引发的污泥粘性膨胀及控制

在研究强化SBR工艺除污性能时,由于可溶性淀粉投加导致进水水质成分发生改变,污泥沉降性能在短时间内迅速恶化,污泥出现大量的粘液。镜检发现,大量指状菌胶团异常增殖且丝状菌的数量也逐渐减少。实验结果表明,系统膨胀属于污泥粘性膨胀。停止可溶性淀粉和提高主反应池的DO浓度,污泥粘性膨胀并未得到恢复,但污泥粘液逐渐消失。粘液消失后,通过模拟前期进水水质成分和缩短泥龄,污泥粘性膨胀得以控制,污泥沉降性能在短时间内恢复。实验还研究了污泥粘性膨胀对污染物去除性能的影响。     

自洁式三级串联的水样在线过滤系统的研制和应用

基于玻璃纤维对小颗粒物的截留和微孔过滤,以及超声波辅助清洗等方法原理,设计和制作了带反冲洗自洁功能的三级串联在线过滤系统,将滤网（初级）、超声波作用下装填有玻璃纤维的过滤器（二级）、微孔滤管（三级）串联,对较高浊度的环境水样进行在线过滤。评估了模拟水样和实际水样中浊度的去除效果,证明该系统对水样中颗粒物有很好的去除并大幅降低水样浊度。在优化的条件下,原始浊度范围在4～100NTU的水样经过滤后,浊度均能降至1NTU以下。以标准方法测定的典型水质指标（活性磷、铵氮、亚硝酸盐氮和硝酸盐氮）的浓度为基准,计算水样经所设计的过滤系统处理后,这4种营养盐的回收率一般在85％-130％之间,说明本系统的使用基本不影响目标物的测定。     

陶瓷印花废水处理的混凝剂及工艺条件

采用混凝剂聚合氯化铝（PAC）、聚丙烯酰胺（PAM）、聚合硫酸铁（PFS）对陶瓷印花废水进行混凝沉降处理,监测水样的吸光度、浊度、悬浮物,以脱色率、浊度去除率、悬浮物去除率评价混凝处理的效果。结果表明：PAC是陶瓷印花废水沉降处理的理想混凝剂;水样的吸光度、浊度、悬浮物随混凝剂用量增大和沉降时间延长而呈降低趋势,而脱色率、浊度去除率、悬浮物去除率随混凝剂和沉降时间的增大呈增大的趋势;PAC投加量为20mg／L,沉降时间约为24h,水样脱色率达到90．0％,而当PAC投加量达到100mg／L,沉降时间约为4h,陶瓷印花水的脱色率可达到96．0％。证明了药剂用量的增加与沉降时间的延长对混凝过程具有增效作用。     

特大型城市客运交通碳排放与减排对策研究

本文基于对现有城市交通碳排放测算方法的比较分析,以上海市为例,采用IPCC"自下而上"法对特大型城市客运交通CO2排放进行了测算,结果显示:轨道交通是碳排放效率最高的客运方式,出租车最低;客运交通CO2排放总量增长迅速,且碳源结构发生了较大变化;近年客运交通CO2排放增量主要来自私人载客汽车,同时公务交通在客运交通碳排放中始终占较大比重。由此本文认为,控制客运交通碳排放的关键在于对以私人载客汽车和单位载客汽车为主的个体交通的管理和控制,形成以公共交通为主的交通结构。在此基础上,为了将控制碳排放纳入到城市交通政策目标中去,本文就主要城市交通政策对客运交通碳排放产生的影响进行了深入分析,并得出结论:以往的交通供给、需求管理政策对于抑制客运交通碳排放增长的作用有限;而就目前城市空间发展政策的实施效果而言,也不利于降低居民出行的碳排放水平。文章最后分别从交通供给、需求管理以及城市空间角度给出了控制客运交通碳排放的对策。     

电絮凝—H_2O_2氧化法处理邻苯二甲酸二甲酯废水的机理研究

采用电絮凝—H2O2氧化法处理邻苯二甲酸二甲酯(DMP)废水,利用多种分析手段对处理过程进行跟踪。实验结果表明整个处理过程可以分为两个阶段:当反应时间为0～8h时,以电Fenton氧化反应为主,产生的羟基自由基有效地降解了反应液中的DMP;当反应8h后,以絮凝作用和气浮作用为主。在氧化过程中,DMP中的甲基先被氧化生成邻苯二甲酸,苯环被开环并生成链状低级烃类,最后这些有机小分子几乎完全被矿化为CO2和H2O。     

油田作业废水高效处理技术中试研究

文章根据新疆油田作业废水特征及油田地处干旱区的地理特点,结合国内外含聚合物污水处理的技术现状,以及油田连续生产稳定运行的要求,在含油污水处理技术的基础上,开展了作业废水处理关键技术研究和工艺优化,采用了"隔油—絮凝气浮—深层过滤"技术。中试试验结果表明:处理后废水COD_(Cr)、石油类、SS可分别由680 mg/L、98.6 mg/L、56.2 mg/L降至98.8 mg/L、5.4 mg/L、4.5 mg/L,去除率分别为85.5%、94.5%、92.0%。     

好氧颗粒污泥同时脱氮除磷技术研究

采用序批式活性污泥法(SBR)处理新疆油田公司准东石油基地污水,作为生物膜的一种特殊形式,介绍了该工艺的优点,在适宜的运行条件下进行实验。讨论了好氧颗粒污泥脱氮以及除磷的过程,分析了该工艺对氮、磷的去除率及好氧颗粒污泥在好氧、缺氧条件下的吸磷情况,当进水氨氮、磷和乙酸碳浓度分别为38.2 mg/L、27.7 mg/L和134.6 mg/L,MLSS和MLVSS分别为7.0 mg/L、6.4 mg/L时,氨氮、总无机氮、磷、乙酸碳的平均去除率分别达到98.8%、90.2%、98.9%、97.2%.     

CCS scenarios optimization by spatial multi-criteria analysis: Application to multiple source sink matching in Hebei province

A method, based on spatial analysis of the different criteria to be taken into consideration for building scenarios of CO₂ capture and storage (CCS), has been developed and applied to real case studies in the Hebei province. Totally 88 point sources (42 from power sector, 9 from iron and steel, 18 from cement, 16 from ammonia, and 3 from oil refinery) are estimated and their total emission amounts to 231.7 MtCO₂/year with power, iron and steel, cement, ammonia and oil refinery sharing 59.13%, 25.03%, 11.44%, 3.5%, and 0.91%, respectively. Storage opportunities can be found in Hebei province, characterised by a strong tectonic subsidence during the Tertiary, with several kilometres of accumulated clastic sediments. Carbon storage potential for 25 hydrocarbon fields selected from the Huabei complex is estimated as 215 MtCO₂ with optimistic assumption that all recovered hydrocarbon could be replaced by an equivalent volume of CO₂ at reservoir conditions. Storage potential for aquifers in the Miocene Guantao formation is estimated as 747 MtCO₂ if closed aquifer assumed or 371 MtCO₂ if open aquifer and single highly permeable horizon assumed. Due to poor knowledge on deep hydrogeology and to pressure increase in aquifer, injecting very high rates requested by the major CO₂ sources (>10 MtCO₂/year) is the main challenge, therefore piezometry and discharge must be carefully controlled. A source sink matching model using ArcGIS software is designed to find the least-cost pathway and to estimate transport route and cost accounting for the additional costs of pipeline construction due to landform and land use. Source sink matching results show that only 15–25% of the emissions estimated for the 88 sources can be sequestrated into the hydrocarbon fields and the aquifers if assuming sinks should be able to accommodate at least 15 years of the emissions of a given source.     

Estimates of synthetic fertilizer N-induced direct nitrous oxide emission from Chinese croplands during 1980-2000

There is increasing concern that agricultural intensification in China has greatly increased N₂O emissions due to rapidly increased fertilizer use. By linking a spatial database of precipitation, synthetic fertilizer N input, cropping rotation and area via GIS, a precipitation-rectified emission factor of N₂O for upland croplands and water regime-specific emission factors for irrigated rice paddies were adopted to estimate annual synthetic fertilizer N-induced direct N₂O emissions (FIE-N₂O) from Chinese croplands during 1980-2000. Annual FIE-N₂O was estimated to be 115.7 Gg N₂O-N year⁻¹ in the 1980s and 210.5 Gg N₂O-N year⁻¹ in the 1990s, with an annual increasing rate of 9.14 Gg N₂O-N year⁻¹ over the period 1980-2000. Upland croplands contributed most to the national total of FIE-N₂O, accounting for 79% in 1980 and 92% in 2000. Approximately 65% of the FIE-N₂O emitted in eastern and southern central China.     

Tracking nitrogen losses in a greenhouse crop rotation experiment in North China using the EU-Rotate_N simulation model

Vegetable production in China is associated with high inputs of nitrogen, posing a risk of losses to the environment. Organic matter mineralisation is a considerable source of nitrogen (N) which is hard to quantify. In a two-year greenhouse cucumber experiment with different N treatments in North China, non-observed pathways of the N cycle were estimated using the EU-Rotate_N simulation model. EU-Rotate_N was calibrated against crop dry matter and soil moisture data to predict crop N uptake, soil mineral N contents, N mineralisation and N loss. Crop N uptake (Modelling Efficiencies (ME) between 0.80 and 0.92) and soil mineral N contents in different soil layers (ME between 0.24 and 0.74) were satisfactorily simulated by the model for all N treatments except for the traditional N management. The model predicted high N mineralisation rates and N leaching losses, suggesting that previously published estimates of N leaching for these production systems strongly underestimated the mineralisation of N from organic matter.