Occurrence, distribution, and potential influencing factors of sewage sludge components derived from nine full-scale wastewater treatment plants of Beijing, China

Millions of tons of waste activated sludge (WAS) produced from biological wastewater treatment processes cause severe adverse environmental consequences. A better understanding of WAS composition is thus very critical for sustainable sludge management. In this work, the occurrence and distribution of several fundamental sludge constituents were explored in WAS samples from nine full-scale wastewater treatment plants (WWTPs) of Beijing, China. Among all the components investigated, active heterotrophic biomass was dominant in the samples (up to 9478 mg/L), followed by endogenous residues (6736 mg/L), extracellular polymeric substances (2088 mg/L), and intracellular storage products (464 mg/L) among others. Moreover, significant differences (p < 0.05) were observed in composition profiles of sludge samples among the studied WWTPs. To identify the potential parameters affecting the variable fractions of sludge components, wastewater source as well as design and operational parameters of WWTPs were studied using statistical methods. The findings indicated that the component fraction of sewage sludge depends more on wastewater treatment alternatives than on wastewater characteristics among other parameters. A principal component analysis was conducted, which further indicated that there was a greater proportion of residual inert biomass in the sludge produced by the combined system of the conventional anaerobic/anoxic/oxic process and a membrane bioreactor. Additionally, a much longer solids retention time was also found to influence the sludge composition and induce an increase in both endogenous inert residues and extracellular polymeric substances in the sludge.     

太湖西岸水体污染物时空分布及解析

采用聚类分析、主成分分析及相关分析方法解析2015年太湖西岸入湖河流水质污染的时空分布特征及影响该区域水质的主要驱动因子。研究结果表明:时间上按污染程度将全年聚类为时段I(12月、1—3月)、时段II(11月、4—5月)和时段III(6—10月)3类;根据11项水质指标主成分分析提取3个主成分,可以解释75.49%的结果;时段I、时段II和时段III水质污染状况依次降低,空间上总体呈现出太湖西岸北部向南部递减的趋势;NH3-N、TN、Chl-a和SD是影响该水域水质的主要驱动因子。     

可溶性有机质生物改性介导17β-雌二醇生物降解作用

利用元素分析、紫外-可见光谱、三维荧光指数对经过15d生物改性前后腐殖酸的组分和结构进行表征,并比较了生物改性前后3种腐殖酸对17β-雌二醇(E2)的结合作用;而且研究了结合后的腐殖酸介导微生物降解E2的影响.结果表明:经过元素分析后,生物改性前的腐殖酸OLHA、OLFA、OSHA和生物改性后的腐殖酸BLHA、BLFA、BSHA的(N+O)/C值分别为0.801、1.214、0.820和0.629、1.080、0.797;紫外-可见光谱分析生物改性前后的SUVA_(254)指数分别为0.146、0.023、0.073和0.179、0.036、0.011;生物改性前后荧光指数(FI)分别为:0.723、3.385、2.757和0.681、3.017、1.702.上述3种表征手段分析得出腐殖酸的极性是一致的,即改性后的腐殖酸要比改性前的腐殖酸极性小.此外,在30h内5mgC/L的腐殖酸生物改性前后对3mg/L的E2的结合效率分别为31.37%、4.96%、25.86%和37.78%、6.03%、29.92%,明显发现改性后的腐殖酸对E2的结合作用增强;5 mgC/L的腐殖酸生物改性前后对3mg/L的E2的30h内的生物降解效率分别为46.28%、15.96%、38.76%和51.11%、17.30%、44.33%,而且同等浓度下的腐殖酸对E2的结合作用越大其介导微生物降解E2的效果越好.     

轻型汽车和汽车塑料配件涂装工艺过程的VOCs组分特征

通过采集和分析珠江三角洲(以下简称“珠三角”)地区轻型汽车和汽车塑料配件涂装工艺过程的VOCs样品,识别了上述两个行业不同涂装工艺过程的VOCs组分特征.结果表明:芳香烃(56.4%~75.5%)和OVOCs(11.0%~35.7%)为轻型汽车涂装工艺占比最大的两种VOCs组分;烷烃和烯炔烃在烘干工艺所占比重要高于喷涂工艺;1,2,4-三甲苯为电泳和面涂烘干工序的主要VOCs组分,间/对-二甲苯、乙酸丁酯、丙二醇甲醚醋酸酯分别为中涂、面涂和中涂烘干工序的主要VOCs组分.汽车塑料配件涂装工艺不同工序的VOCs组成相似,芳香烃(53.3%~58.3%)和OVOCs(40.9%~45.8%)为主要VOCs组成,甲苯、乙酸乙酯、乙酸丁酯等为主要VOCs组分.不同废气治理设施对汽车塑料配件涂装工艺VOCs组分会造成一定的影响.活性炭吸附治理设施处理后的主要VOCs组分为甲苯、乙苯和邻二甲苯等芳香烃组分,水喷淋治理设施则为乙酸乙酯、乙酸丁酯和丙二醇甲醚醋酸酯等OVOCs类组分.通过与其他研究对比,丙二醇甲醚醋酸酯作为原辅料和废气中的主要组分之一,在以往研究中并未识别出来,表明针对测试对象的原辅料与工艺信息的现场调研是开展VOCs组分特征及成分谱研究的基础工作,建议未来该方面研究加强对前期调研工作的重视.此外,建议关注行业发展趋势给VOCs成分谱研究带来的影响.     

主成分分析法在印染废水混凝试验中的应用

运用主成分分析法的双重图对印染废水混凝试验数据进行分析,揭示了在用复合絮凝剂处理印染废水混凝试验中多维工艺操作参数之间的相关性和各参数对混凝脱色的重要性,从而根据双重图来对混凝试验操作参数实行优化和控制。     

闽南地区酸性雾水特征初探

1993年3～4月,在闽南地区进行了一次综合性酸雨集中观测,探讨其雾水特征如下:闽南地区雾水已严重酸化,其最低pH值达到2.91,是该地区酸性湿沉降的重要组成部分;雾水中有机酸根的贡献占总阴离子量9%;雾水含较多四价硫,并与甲醛反应形成络合物;雾水受到周围海洋的影响,Cl-有严重的亏损      

Diel Variability of Water Quality in a Tropical Polluted Bay

The objective is to describe and quantify the diel variability of water quality in a tropical coastal system, Guanabara Bay, Brazil. Water samples were collected in spring and neap tide cycles over 24 h periods at three strategic sites. A pollution gradient was evident between the sampling sites. The average fecal coliform values decreased from 10⁶ (site 3, most polluted) to 10¹ (site 1, less polluted). Organic matter mineralization was found in a similar gradient to organic pollution. However, complete nitrification was only found associated to regions where the water quality was better. Variability in this data set was determined mostly by the pollution gradient observed, and by tidal influence as well. The poor water quality indicates that the bay undergoes severe environmental stress. However water renewal promoted by tidal action was an important mechanism in diluting the pollution, improving water quality even in ebb tides and in the inner channels. The significance of micro-scale changes in water quality assessment in Guanabara Bay was confirmed, as well as the importance of these strategic sampling sites, reinforcing the importance of these measurements in monitoring programs.     

串叶松香草生物量和营养成分动态及其对土壤理化性质的影响

田间试验和化学分析结果表明,串叶松香草两个品种４个生育期的茎、叶产量均以Ａ型＞Ｂ型,在３ａ内串叶松香草产量随生长年限增加,且以Ａ型品种产量高．串叶松香草３个生育期叶片氨基酸和蛋白质含量高于茎,并以Ａ型品种现蕾期为最高;两个品种氨基酸组分以Ａｓｐ、Ｇｌｕ、Ｌｅｕ和Ｌｙｓ含量高,各生育期氨基酸组分含量变化规律不同．串叶松香草的粗脂肪、Ｃａ、Ｐ和灰分含量以叶＞茎,而粗纤维和可溶性糖含量却以茎中较高．除粗纤维外,其余饲用成分含量均随生育期的出现而呈递降之趋势．串叶松香草现蕾期Ｎ、Ｋ含量和莲座期Ｐ含量达最高．种植３ａ后串叶松香草明显改善土壤物理性质,提高土壤酶活性,明显降低土壤有效Ｎ、Ｐ和Ｋ含量     

基于多项污染物综合相对重要性的主成分子集合环境测点优选法

根据对多项污染物环境测点的优选,提出了单项污染物测值的相对重要性和多项污染物测值的综合相对重要性新概念,并给出了综合相对重要性的计算公式．根据测点的综合相对重要性,再用主成分子集合选择法优选测点该方法与基于交叉相关性的主成分子集合优选法相比,不仅减少了计算量,而且避免了当各单项污染物选出的测点不一致时,难以确定公共优化点的困难．该方法用于成都市大气污染物的12个测点优选结果符合实际情况．     

基于信息相对重要性的主成分法优选环境测点

提出将单项污染物测值反映的信息量表示为相对重要性和将单项污染物的相对重要性综合为多项污染物的综合相对重要性的计算公式。根据测点信息的综合相对重要性,再用主成分子集合选择法优化选点。该方法不仅减少了计算量,也易于确定多项污染物的综合优化点。该方法用于贵阳市大气环境测点优选出的测点能反映该市的环境质量。