有关斜管沉淀池的上升流速讨论

文章从理论上了分析斜管沉淀池上升流速对沉淀池处理效果的影响,及原水特性与斜管沉淀池上升流速取值的关系。讨论分析斜管沉淀池设计时,应根据原水特性不同选择不同的斜管沉淀池上升流速。     

扬州市城区水系补水优化调控技术研究——以二道河为例

以保障城市水体景现,控制城市水体黑臭、控制藻类繁殖为目标,以水体溶解氧为控制性指标,根据各条河道承受的溢流污水、雨水等外源污染和底泥污染释放内源污染,确定各条河道所需的补水量.对扬州市典型的内河(二道河)进行污染调查分析,利用多宾斯-坎普(Dobbins-Camp)BOD-DO水质模型,以COD代替BOD,计算保障河道水质达到V类水质(ρ(DO)≤2 mg/L,ρ(CODMn)≤15 mg/L)需要的补水量.结果表明,多宾斯-坎普水质模型可为扬州城区内河整治工程提供科学决策工具.     

水力负荷对辐流式初沉池污染物去除效果的影响

以沉砂池出水为原水,在沉淀试验研究颗粒截留速度u0基础上,通过动态试验考察水力负荷对辐流式初沉池污染物去除效果的影响。研究结果表明无机悬浮固体(FSS)分离和总悬浮固体(TSS)高效去除的颗粒截留速度u0分别为0.025 m/min和0.05 m/min。由于泥层截留作用,水力负荷qA在46.3 m3/(m2.d)时,辐流式初沉池污染去除最高效,TSS、总氮(TN)和总磷(TP)去除率分别达到81%,23%,59%。     

有机改性膨润土在印染废水处理中的应用

膨润土是一种非常有用的非金属矿物原料,其有机改性得到的有机改性膨润土可以较好地去除印染废水中的有机污染物和色度。本文综述了有机改性膨润土的制备方法及其在印染废水处理中的应用现状。     

蒙脱石对有机物料施入土壤磷形态和有效性的影响

以冷砂黄泥和矿子黄泥为研究对象,猪粪沼渣为有机物料,分别添加0%、5%、7.5%和10%质量分数的蒙脱石,采用室内培养试验研究了蒙脱石对施有机物料土壤pH、磷形态和有效性的影响.结果表明,有机物料对两种土壤pH无显著影响,而蒙脱石使土壤pH显著提高.施加有机物料使两种土壤铝结合态磷(Al-P)含量和分布比例提高,铁结合态磷(Fe-P)含量培养后期提高、比例略有下降,闭蓄态磷(O-P)含量无明显变化、比例下降.有机物料对冷砂黄泥中钙结合态磷(Ca-P)的含量无明显影响、比例下降,却使矿子黄泥Ca-P含量和比例提高.在施加有机物料基础上添加蒙脱石后,冷砂黄泥Al-P和O-P含量和比例下降,Fe-P含量无明显变化、比例下降,Ca-P含量和比例大幅度提高;矿子黄泥Fe-P和O-P含量和比例下降,Al-P含量无明显变化、比例下降,Ca-P含量和比例大幅度提高.培养过程中,有机物料使冷砂黄泥和矿子黄泥有效磷含量分别提高了17.9%~38.0%和17.1%~33.7%,土壤磷的活化系数也显著提高,添加蒙脱石后使两种土壤有效磷含量分别降低8.8%~35.5%和1.1%~11.6%.相关分析结果表明,蒙脱石通过提高pH和Ca-P含量、降低Al-P含量降低冷砂黄泥磷的有效性,通过提高pH、降低Fe-P含量降低矿子黄泥磷的有效性,对冷砂黄泥磷有效性的影响较矿子黄泥大.     

Debromination of decabromodiphenyl ether by organo-montmorillonite-supported nanoscale zero-valent iron：Preparation, characterization and influence factors

An organo-montmorillonite-supported nanoscale zero-valent iron material(M-NZVI) was synthesized to degrade decabromodiphenyl ether(BDE-209). The results showed that nanoscale zero-valent iron had good dispersion on organo-montmorillonite and was present as a core-shell structure with a particle size range of nanoscale iron between 30–90 nm, characterized by XRD, SEM, TEM, XRF, ICP-AES, and XPS. The results of the degradation of BDE-209 by M-NZVI showed that the efficiency of M-NZVI in removing BDE-209 was much higher than that of NZVI. The efficiency of M-NZVI in removing BDE-209 decreased as the pH and the initial dissolved oxygen content of the reaction solution increased, but increased as the proportion of water in the reaction solution increased.     

上海市郊区河道底泥重金属污染状况评价

河道底泥重金属污染日益受到重视。对上海市郊区河道毛家塘底泥进行监测,分析了13种重金属元素(As,Cd,Cr,Cu,Ni,Pb,Zn,Hg,Be,Ag,Sb,Se,Ti)的含量特征,采用地累积指数法、潜在生态危害指数法、污染负荷指数法对重金属污染状况进行了评价。结果表明:河道底泥13种重金属中,Ag,Sb,Se,Ti 4种低于检测限,As,Cd,Cr,Cu,Ni,Pb,Zn,Hg,Be含量均超过了上海市土壤背景值;底泥重金属为中污染,As,Cd,Cu,Zn污染影响较大。除As以外,其余重金属含量均满足我国现行标准或指标要求,建议底泥后续处理利用参考达标标准的相应要求进行。     

Beyond hypoxia：Occurrence and characteristics of black blooms due to the decomposition of the submerged plant Potamogeton crispus in a shallow lake

Organic matter-induced black blooms(hypoxia and an offensive odor) are a serious ecosystem disasters that have occurred in some large eutrophic shallow lakes in China. In this study, we investigated two separate black blooms that were induced by Potamogeton crispus in Lake Taihu, China. The main physical and chemical characteristics, including color- and odor-related substances, of the black blooms were analyzed. The black blooms were characterized by low dissolved oxygen concentration(close to 0 mg/L), low oxidation-reduction potential, and relatively low pH of overlying water. Notably higher Fe2+and∑S2-were found in the black-bloom waters than in waters not affected by black blooms. The black color of the water may be attributable to the high concentration of these elements, as black FeS was considered to be the main substance causing the black color of blooms in freshwater lakes. Volatile organic sulfur compounds, including dimethyl sulfide, dimethyl disulfide, and dimethyl trisulfide, were very abundant in the black-bloom waters. The massive anoxic degradation of dead Potamogeton crispus plants released dimethyl sulfide, dimethyl disulfide, and dimethyl trisulfide, which were the main odor-causing compounds in the black blooms. The black blooms also induced an increase in ammonium nitrogen and soluble reactive phosphorus levels in the overlying waters. This extreme phenomenon not only heavily influenced the original lake ecosystem but also greatly changed the cycling of Fe, S, and nutrients in the water column.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

Compositions and sources of organic acids in fine particles (PM2.5) over the Pearl River Delta region, south China

Organic acids as important constituents of organic aerosols not only influence the aerosols' hygroscopic property, but also enhance the formation of new particles and secondary organic aerosols. This study reported organic acids including C14–C32fatty acids, C4–C9dicarboxylic acids and aromatic acids in PM2.5collected during winter 2009 at six typical urban, suburban and rural sites in the Pearl River Delta region. Averaged concentrations of C14–C32fatty acids, aromatic acids and C4– C9 dicarboxylic acids were 157, 72.5 and 50.7 ng/m3, respectively. They totally accounted for 1.7% of measured organic carbon. C20–C32fatty acids mainly deriving from higher plant wax showed the highest concentration at the upwind rural site with more vegetation around, while C14–C18fatty acids were more abundant at urban and suburban sites, and dicarboxylic acids and aromatic acids except 1,4-phthalic acid peaked at the downwind rural site. Succinic and azelaic acid were the most abundant among C4–C9dicarboxylic acids, and 1,2-phthalic and 1,4-phthalic acid were dominant aromatic acids. Dicarboxylic acids and aromatic acids exhibited significant mutual correlations except for 1,4-phthalic acid, which was probably primarily emitted from combustion of solid wastes containing polyethylene terephthalate plastics. Spatial patterns and correlations with typical source tracers suggested that C14–C32fatty acids were mainly primary while dicarboxylic and aromatic acids were largely secondary. Principal component analysis resolved six sources including biomass burning, natural higher plant wax, two mixed anthropogenic and two secondary sources; further multiple linear regression revealed their contributions to individual organic acids. It turned out that more than 70% of C14–C18fatty acids were attributed to anthropogenic sources, about 50%–85% of the C20–C32fatty acids were attributed to natural sources, 80%–95% of dicarboxylic acids and 1,2-phthalic acid were secondary in contrast with that 81% of 1,4-phthalic acid was primary.