Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Phosphate recovery with granular acid-activated neutralized red mud: Fixed-bed column performance and breakthrough curve modelling

Granular acid-activated neutralized red mud (AaN-RM) has been successfully prepared with good chemical stability and physical strength. However, its potential for industrial application remains unknown. Therefore, the performance of granular AaN-RM for phosphate recovery in a fixed-bed column was investigated. The results demonstrated that the phosphate adsorption performance of granular AaN-RM in a fixed-bed column was affected by various operational parameters, such as the bed depth, flow rate, initial solution pH and initial phosphate concentration. With the optimal empty-bed contact time (EBCT) of 24.27 min, the number of processed bed volumes and the phosphate adsorption capacity reached 496.95 and 84.80 mg/g, respectively. Then, the saturated fixed-bed column could be effectively regenerated with a 0.5 mol/L HCl solution. The desorption efficiency remained as high as 83.45% with a low weight loss of 3.57% in the fifth regeneration cycle. In addition, breakthrough curve modelling showed that a 5-9-1 feed-forward artificial neural network (ANN) could be effectively applied for the optimization of the fixed-bed adsorption system; the coefficient of determination (R²) and the root mean square error (RMSE) evaluated on the validation-testing data were 0.9987 and 0.0183, respectively. Therefore, granular AaN-RM fixed-bed adsorption exhibits promising potential for phosphate removal and recovery from polluted water.     

Prediction of Leachate Level in Kimpo Metropolitan Landfill Site by Total Water Balance

Kimpo metropolitan landfill has received various kinds of wastessince January 1992. The leachate level was measured to be 10.3 m in May 1995 and the level increased to 12.2 m in August 1996. Therefore, to prove the reason for the increasing leachate level, we calibrated hydraulic conductivity of each waste andintermediate layer using the HELP (Hydrologic Evaluation ofLandfill Performance) model. The leachate generation data measured from February 1993 to October 1995 was used in the model calibration. As a result of a model calibration, we obtained anaverage infiltration ratio and used this in analysis of the total water balance to predict elevation of leachate level. Main causes of the elevation of the leachate level were the high water content of the waste and the degradation of the leachate-drainage system caused by the subsidence of a naturalbarrier layer.     

小型废电池填埋焚烧处置的健康风险分析

对废电池采取填埋、焚烧处置所引起的健康风险进行了分析，采用3种模型，分别研究了废电池随城市固体废物一起完全填埋处置，一起完全焚烧处置，一起部分填埋处置和部分焚烧处理时，可能引起的健康风险，由分析可知，镉镍电池焚烧过程将引起不可接受的致癌风险，填埋废电池也会引起重金属非致癌风险，提出在现阶段没有单独收集分类管理的条件下，对于小型废电池应采取填埋焚烧联合处置的办法，但应避免镉镍电池的焚烧，在建立了收集体系后，应该分类进行资源化和无害化管理。     

城市生活垃圾理化性质的动态特性分析

对太原市城市生活垃圾的组成、化学元素及重金属等进行了1年(每月2次)共24次的分析。结果表明,太原市生活垃圾的组成在焚烧过程中,能产生低位热值(Q低)的有机物占(44.28±2.24)％,不产生低位热值的无机物占(13.94±2.01)％,混合物(破碎的动植物碎片及粘附在其上面的灰、土、砂)占(43.36±8.67)％。垃圾中可燃物比例较高,水分含量较低,有利于焚烧和热解,低位热值(Q低)平均值为(5590.8±1252.3)kJ/kg,但低位热值随季节变化较大。垃圾中化学元素硫(S)、氯(Cl)、氮(N)、氢(H)、碳(C)、氧(O)的年平均值分别为(0.20±0.13)％、(0.48±0.11)％、(0.87±0.18)％、(2.56±0.76)％、(30.78±4.06)％、(16.42±5.17)％,与其他城市相比,S、N、Cl的含量较高。垃圾中的重金属铅(Pb)、镉(Cd)的年平均值分别为41.94mg/Kg和1.806mg/kg;汞(Hg)含量变化较大。焚烧后的灰渣中,Pb部分挥发,Cd得到富集,但几乎无Hg检出。     

城镇污水资源化技术发展状况

污水资源化是解决当前水资源短缺，减少环境污染的有效途径，经过几十年的发展，城镇污水资源化技术取得了很大进展，讨论了城镇污水资源化的意义、技术和发展前景。     

分质供水与再生技术

我国现行的供水和水处理方式制约着城市直饮水和中水深度处理回用的应用和发展 ,根据城市实际建立分质供水与中水回用相结合的供水体系 ,将成为解决这一问题的有效途径     

危险废物安全填埋场运行机制与收费标准

危险废物安全填埋场应探讨企业化经营模式。在单一处理模式、一体化经营模式和依托于大型企业模式中选择适宜的模式。填埋场建设资金筹集渠道中,由废物产生单位集资建设是可行办法。探讨了填埋场收费标准的计算方法,并给出计算公式。     

克拉玛依市水,土资源承载力与城市发展对策研究

在城市可持续发展的进程中，克拉玛依已具备了许多有利条件，但同时也存在一些限制性２。文章重点研究了克拉玛依水、土地资源的承载力与城市发展的关系，从水资源供需平衡，水资源承载力与城市发展规模控制、土地资源人口承载力、工业用地规模、居住用地规模、绿化用地规模和环境管理等方面提出了对策。     

城市污水高效低耗生物脱氮工艺研究

采用活性污泥与生物膜法相结合工艺处理城市生活污水，可以高效去除污水中的有机物和NH4^ -N。研究结果表明：水力停留时间为7．5h、回流比为1．5、无外加碳源时，COD的去除率大于90％，NH4^ -N的去除率大于99％；平均出水COD小于40mg／L，NH4^ -N小于1mg／L，TN的去除率60％左右；反硝化过程的适宜C／N为4～5。