酸碱度对生活垃圾焚烧厂沥滤液蒸发处理效果的影响

采用蒸发法处理城市生活垃圾焚烧厂垃圾沥滤液,着重考察了不同沥滤液初始pH值对蒸发去除COD和氨氮效果的影响,并采用GC-MS对蒸发冷凝液中有机物成分进行了分析鉴定.结果表明,生活垃圾沥滤液的初始pH对冷凝液中COD、氨氮含量及有机污染物分布产生了决定性的影响.沥滤液在酸性条件下(pH≤6)蒸发,随着pH的增加,冷凝液中COD的含量线性降低,而氨氮的含量线性增加.当沥滤液的初始pH值从6增加到11,冷凝液中COD的含量呈对数函数降低,而氨氮的含量表现出显著增加趋势.从冷凝液中鉴定出38种有机污染物,多为沸点较低的醇、酸、酚和酯类.在酸性条件下(pH=3),冷凝液中挥发性有机酸和低碳醇的相对丰度接近90％.在近中性条件下(pH=6.2),冷凝液中的有机污染物以酚、酸和杂环类化合物为主.在碱性条件下(pH =11),冷凝液中酚和杂环类化合物占比较高,而酸的含量极少.     

CLUE-S模型对村镇土地利用变化的模拟与精度评价

利用航片、IKONOS和Quickbird影像得到研究区3期（1991、2001和2009年）土地利用历史数据,运用CLUE S模型,基于1991、2001年的土地利用数据对2009年土地利用格局进行模拟预测,并将模拟结果与2009年真实土地利用数据进行比较。类型水平上,选择ROC曲线统计和偏离度指数分别对各地类的Logistic回归拟合精度和CLUE S模型模拟精度进行评价;景观水平上,采用景观指数和Kappa指数系列方法,从综合预测能力、景观格局、数量和空间位置等方面对CLUE S模型的模拟精度进行全面评估。结果表明:①CLUE S模型对各土地利用类型的模拟精度均较高,各地类的Logistic回归的拟合精度随着模拟分辨率的提高而逐渐增加;②随着模拟时间的缩短,CLUE S模型对整体景观格局的模拟精度提高;③该模型对土地利用数量的模拟精度明显优于其对空间位置的模拟精度。总体而言,CLUE S模型在村镇尺度的模拟效果良好,预测精度较高,但在空间位置和景观格局精度方面还有待提高     

抗生素废水的铁屑微电解预处理研究

研究了采用铁屑微电解法预处理抗生素废水.在进水COD质量浓度为6.2 g/L时,试验结果表明,经微电解处理后的废水,COD和色度的去除率分别达到68.3%和79.3%,BOD5/COD从0.306提高到0.56,废水的可生化性得到显著提高.通过正交试验考察pH、反应时间及铁屑用量对处理效果的影响,并对各因素作了单因素影响试验,确定了最佳工艺条件.     

炼厂隔油后污水的有机构成及混凝处理

采用GC/MS技术分析了炼厂隔油后污水的有机组成,并研究了不同混凝剂处理污水的效果,以及对有机构成的影响。结果表明,隔油后污水中的有机物质主要是C6–C8,其中酚类物质的含量最高;PAM和PAC混凝处理隔油后污水,可使污水中的有机物质总浓度及各物质的相对比例均发生变化,PAM降低烃类物质的效果好于PAC,而后者降低酚类物质的效果好于前者;在PAC处理污水时,同时投加少量活性炭可有效改变PAC脱除COD的性能。     

DETERMINING SIGNIFICANCE AND PRECISION OF ESTIMATED PARAMETERS FOR RUNOFF FROM SEMIARID WATERSHEDS1

ABSTRACT Significant parameters for predicting thunderstorm runoff from small semiarid watersheds are determined using data from the Walnut Gulch watershed in southern Arizona. Based on these data, thunderstorm rainfall is dominant over watershed parameters for predicting runoff from multiple linear regression equations. In some cases antecedent moisture added significantly to the models. A technique is developed for estimating precision of predicted values from multiple linear regression equations. The technique involves matrix methods in estimating the variance of mean predicted values from a regression equation. The estimated variance of the mean predicted value is then used to estimate the variance of an individual predicted value. A computer program is developed to implement these matrix methods and to form confidence limits on predicted values based on both a normality assumption and the Chebyshev inequality.     

废水污染物排放总量控制指标的确定及控制对策

着重论述了株洲化工集团有限责任公司废水污染物排放总量控制指标的确定方法,并简述了排放总量控制对策。     

一株高效降解废水有机质耐冷菌的筛选、鉴定及特性研究

利用生物法进行污水处理已被国内外广泛使用,但由于温度影响微生物的生长和繁殖,使其成为生物污水处理效率的限制因子.本研究从污水处理厂活性污泥中分离出5株在低温4℃条件下生长良好的菌株,其中菌株DW1在4℃条件下,96 h时可将初始COD为800 mg·L-1的生活污水有机物去除率高达67.7%.结合菌落形态特征、生理生化特性以及16S r DNA序列分析,将菌株DW1初步鉴定为假单胞菌(Pseudomonas sp.).菌株DW1对COD负荷较高的污水处理效果较好;接种量为3%(体积分数)、p H为7.0时,菌株对污水COD去除率和DHA活性较高.在4℃和25℃条件下,菌株DW1均在96 h对污水COD去除率和DHA活性最高,分别为71.2%、11.35μg·m L·h-1(以TF计)和78.8%、15.11μg·m L-1·h-1(以TF计).     

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen(T-N) impact on the effluent water quality. The objective of this study is to establish two machine learning models—artificial neural networks(ANNs) and support vector machines(SVMs), in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination(R~2), Nash–Sutcliff efficiency(NSE), relative efficiency criteria(d rel). Additionally, Latin-Hypercube one-factor-at-a-time(LH-OAT) and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation stage.However, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.     

活性炭纤维电吸附法去除饮用水氟离子方法探究

氟是人体必需的元素,对人体有着重要的生理功能。如果人摄入的氟过量,人体将受到较大危害。除氟的方法有很多,电吸附方法是将传统的吸附技术与电化学方法融合,使得电吸附方法与传统的去离子方法相比具有相当的优势：无二次污染,能量利用率高,操作简单,是具有研究和开发价值的清洁型技术。用活性炭纤维做吸附剂对蒸馏水配制成的含氟水去除率显著,为了达到氟离子去除效果,要调节温度、电极电势以及原液浓度,注意电极与吸附材料的选择。