流域水质目标管理技术研究(Ⅰ)——控制单元的总量控制技术

对国内外水污染防治技术体系进行了归纳总结,系统地介绍了美国水质管理技术——TMDL计划的技术框架和特点,指出TMDL对我国水质目标管理的借鉴意义. 在“以人为本,保护水生态”以及“分类、分区、分级、分期”理念的指导下,构建了以保持水生态系统健康为目标的流域水质目标管理技术体系,阐述了该体系的内涵和特点,研究了面向控制单元的总量控制技术方法,对水环境生态分区、水质标准体系的建立、水污染控制单元的选取、实际和允许负荷量的计算、污染负荷分配等关键技术进行了探讨,最后就如何实现流域水质目标管理体系提出了建议.       

流域水质目标管理技术研究：Ⅴ.水污染防治的环境经济政策

环境经济政策是流域水质目标管理技术的重要组成部分. 通过分析国内外的环境经济政策以及主要经济手段的实施现状与特点,指出我国环境经济政策的不足与问题. 以流域控制单元为对象,提出水污染防治的环境经济政策的基本内涵和特点,以“分区、分类、分级、分期”为基本理念,研究了适合我国流域水质目标管理的环境经济政策框架与构建思路,并对环境财政、环境投融资、市场化、排污收费与污染税、生态补偿与污染赔偿等具体手段进行了阐述,提出环境经济政策的综合实施机制以及相关的政策保障.     

土地利用变化及流域尺度大小对水文类型分区的影响

以海河流域为研究对象,根据1956-2005 年的年降雨量和水面蒸发资料以及DEM、土地利用和土壤的遥感资料,采用地理信息系统和多元统计分析的方法,划分一定单元流域,对海河流域进行水文类型分区划分,并讨论了土地利用转移变化及单元流域尺度大小对水文类型分区的影响。结果表明,不同土地利用情况下水文类型分区的结果是不同的,土地利用的变化会直接或间接影响流域水文类型分区的空间分布,土地利用变化越大,水文类型分区的转移变化也越大。单元流域尺度较小时,水文类型分区分布较为离散,反之,单元流域尺度较大时,水文类型分区的分布则较为连续。当单元流域平均面积变化小于150 km²时,分区分布虽然有一定的变化,但总体来看分区结果相对比较稳定,当单元流域平均面积变化较大,并达到250km²以上时,分区结果会发生较大变化。     

隔声屏障在冷却机组降噪中的设计与应用实证

本文对成都双流九江环保垃圾发电厂循环冷却机组进行噪声治理,通过在声音传播途径上设立隔声屏障,并对该声屏障进行声学设计理论计算,声屏障建成后该机组在厂界外1m处,噪声值达到国家厂界噪声排放标准要求,并通过详细的实测数据、建立图形,进一步验证了声屏障理论计算公式和保护范围。     

水体微型生物群落参数与水质指标相关性的研究

利用聚氨酯泡沫塑料块(简称PFU)对清华园内某一连续水体中的微型生物群落的变化进行了观测.所研究的微型生物主要包括细菌、真菌、藻类和原生动物,此外也包括一些小型的后生动物,如轮虫等.所考察的水质指标主要有:水温,pH值,DO,COD_Mn,TN,TP以及叶绿素a含量等,并对水体的富营养化程度进行评价,采用层次分析-主要成分分析营养度法(AHP-PCA法)计算出综合营养指数TLI_c值.试验结果表明水体微型生物群落参数(如S_ep,G,T_90%和HI)和水质指标(如TLI_c)之间具有良好的相关性.      

An assessment of how distance and diesel oxidation catalyst will impact thermal decomposition behaviors of particles

Decomposition mass loss and pyrolysis products analyses of particles sampled at various locations along the tailpipe of a Euro-IV diesel engine were performed using a thermogravimetry in conjunction with Fourier transformation infrared spectrometry-mass spectrum. Diesel particles were collected at the same location with and without diesel oxidation catalyst (DOC) mounted on the test engine separately. The three poles in thermal gravity-differential thermal gravity images suggested that the decomposition process of diesel particles could be divided into three stages which correspond to the decompositions of lower boiling substances, higher boiling substances and soot respectively. It is noticed that no matter whether DOC was mounted or not, the further the particles were sampled away from the engine block, the lower the peak temperatures and the heavier the mass losses within the first two stages, which indicated that the soluble organic fraction in the particle samples increased and therefore lowering the activation energy of thermal decomposition. Hydroxyl, ammonia, C_xH_y fragments, benzene, toluene, and phenol were found to be the primary products of particle decomposition, which didn't change with the location of particle sample point. The employment of DOC increased the activation energy for particle oxidation and resulted in a higher peak temperature and lower mass loss within the first-stage. Moreover, the CO stretching bands of aldehyde and ketone at 1771 cm^?1 was only detected without a DOC, while the NO₂ peak at 1634 cm^?1 was solely noticed with the presence of DOC. Compared to the first-stage pyrolysis products, more polycyclic aromatic hydrocarbons and less C_xH_y fragments were seen in the second-stage.     

人工湿地污水处理系统的蛭石缓冲单元及缓冲能力生物再生研究

针对当前人工湿地污水处理中普遍存在的冬季处理效果差等问题,研究了在处理系统中构建天然蛭石缓冲单元及其吸附饱和后进行生物再生的可行性.结果表明,在水力负荷为1.4 m3·m-2·d-1(COD:150～350mg·L-1、NH 4-N:10～30 mg·L-1、TP:1.0～4.5 mg·L-1)和蛭石层填充高度≥60cm的条件下,无植物天然蛭石缓冲单元可至少在45d内保持出水各项水质指标达到一级排放标准(GB 18918-2002),从而可基本满足人工湿地在植物换季时期的处理需要,而且,增加系统含氧量和蛭石用量可提高体系缓冲性能.在夏秋季温度较高的条件下(25～30℃),利用微生物的硝化与反硝化作用和植物根系的吸收与复氧功能,可有效提高蛭石再吸附的能力,其中有植物的湿地单元90d后蛭石吸附容量的再生率可达88.2%～91.3%,生物再生过程的动力学方程符合指数关系,植物种类、干湿交替时间和碳源对蛭石生物再生过程有较为显著的影响.     

污水处理厂中全氟化合物的污染研究

为研究全氟化合物在污水厂中的去除效率和环境行为,对泰安市2座污水处理厂进出水中不同链长的全氟磺酸和全氟羧酸的存在与分布进行了采样调查,并分析了全氟辛烷磺酸(PFOS)和全氟辛烷羧酸(PFOA)在采用曝气-A2O工艺的污水处理厂各单位中的浓度变化情况.研究发现,上述污水厂进出水中全氟化合物的污染程度较轻,其中,PFOA、...     

大体积水中痕量POPs的联动采集装置及其性能评价

天然水体中的痕量持久性有机污染物(POPs)的定量分析通常需要采集大体积水样.针对大体积水样在过滤和吸附富集过程中滤膜易堵塞且耗时费力的缺点,研制了一种固液分离过滤-吸附富集联动装置.该装置主要由粗过滤器、离心分离屏、倒置微孔过滤器、固相吸附柱、流速控制阀和真空泵组成.与传统的滤膜过滤方式相比,其过滤效率提高了约1.5...     

Predicting Water Quality Impaired Stream Segments using Landscape-Scale Data and a Regional Geostatistical Model: A Case Study in Maryland

In the United States, probability-based water quality surveys are typically used to meet the requirements of Section 305(b) of the Clean Water Act. The survey design allows an inference to be generated concerning regional stream condition, but it cannot be used to identify water quality impaired stream segments. Therefore, a rapid and cost-efficient method is needed to locate potentially impaired stream segments throughout large areas. We fit a set of geostatistical models to 312 samples of dissolved organic carbon (DOC) collected in 1996 for the Maryland Biological Stream Survey using coarse-scale watershed characteristics. The models were developed using two distance measures, straight-line distance (SLD) and weighted asymmetric hydrologic distance (WAHD). We used the Corrected Spatial Akaike Information Criterion and the mean square prediction error to compare models. The SLD models predicted more variability in DOC than models based on WAHD for every autocovariance model except the spherical model. The SLD model based on the Mariah autocovariance model showed the best fit (r² = 0.72). DOC demonstrated a positive relationship with the watershed attributes percent water, percent wetlands, and mean minimum temperature, but was negatively correlated to percent felsic rock type. We used universal kriging to generate predictions and prediction variances for 3083 stream segments throughout Maryland. The model predicted that 90.2% of stream kilometers had DOC values less than 5 mg/l, 6.7% were between 5 and 8 mg/l, and 3.1% of streams produced values greater than 8 mg/l. The geostatistical model generated more accurate DOC predictions than previous models, but did not fit the data equally well throughout the state. Consequently, it may be necessary to develop more than one geostatistical model to predict stream DOC throughout Maryland. Our methodology is an improvement over previous methods because additional field sampling is not necessary, inferences about regional stream condition can be made, and it can be used to locate potentially impaired stream segments. Further, the model results can be displayed visually, which allows results to be presented to a wide variety of audiences easily.