Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.     

氧化亚铁硫杆菌浸出废弃挠性PCB中金属的影响因素分析

废弃挠性PCB是资源化价值高的电子废弃物之一,正需环境友好的方法回收其所含的多种有价金属。采用显微镜对破碎后的挠性PCB粉样进行解离情况观察,发现破碎法难以将挠性PCB中的金属与非金属解离。通过设计单因素实验,研究挠性PCB粉末粒度大小、添加量、培养液初始pH、菌接种量、活化时间以及FeSO4·7H2O添加量6个因素对氧化亚铁硫杆菌（Acidithiobacillus ferrooxidans,简称A.f菌）浸出挠性PCB中金属过程的影响。结果表明,A.f菌不能浸出挠性PCB中Au,但Cu、Ni可以有效浸出且最优化条件为：10 g·L-1挠性PCB、粒度0.25~0.42 mm、培养基初始pH 2.5、菌接种量5%、菌活化时间5 d、FeSO4·7H2O添加量30 g·L-1,金属Cu的浸出率达到90.1%,比未接种处理高出42.4%;金属Ni的浸出率达到了85.9%,比未接种处理高出了32.9%。因此,采用生物法可环境友好地回收挠性PCB中Cu、Ni,有利于废弃挠性PCB的资源化处理。     

基于三角随机模拟和ArcGIS的河流水环境健康风险评价模型

基于河流水环境系统中随机性、模糊性等多种不确定性共存或交叉存在的特性,将三角模糊数与随机模拟方法相耦合,构建了三角随机模拟模型,并将其应用到湘江(长沙段)的健康风险评价中。通过将各参数浓度进行三角模糊化和随机模拟,结果表明,各断面污染物造成的健康风险的变化趋势,总体沿湘江上游至下游逐步降低,表现为昭山 > 猴子石 > 五一桥 > 橘子洲 > 乔口 > 三汊矶,且昭山、三汊矶断面和乔口断面均有恶化趋势。相对于常规的确定性方法,本模型能够得出评价区域健康风险的可能值区间及其相应的概率水平等定量信息,更加客观、全面地表征评价区域的风险状态及其空间分布差异,为决策者提供更多有用的信息。     

有机膨润土负载纳米零价铁还原-类芬顿氧化降解2,4-二氯苯酚

目前,虽然有很多关于纳米零价铁(NZVI)通过吸附、还原和氧化作用去除各种污染物的报道,但关于如何联合这些方法来提高污染物的去除率仍然不是很清楚。本实验研究了联合有机膨润土DK1(十六烷基三甲基铵盐改性,d(001)=2.2 nm)吸附、NZVI还原、类芬顿氧化作用来去除溶液中2,4-二氯苯酚(2,4-DCP)的方法。在反应前30分钟,有机膨润土DK1负载NZVI(NZVI/DK1)通过吸附还原作用去除溶液中2,4-DCP,2,4-DCP和COD的去除率分别为16.1%和7.8%,说明了吸附还原作用对2,4-DCP的去除效果是有限的。接着向溶液中滴加适量的H2O2,在5 min内2,4-DCP的去除率由16.1%提高到了99%以上,COD的去除率达到了64.1%,这可能是由于NZVI腐蚀形成铁的氧化物缓慢释放出Fe2+和Fe3+,增强了芬顿反应对2,4-DCP和降解产物的氧化去除效果。通过SEM,EDS,UV-Vis和GC-MS等分析方法佐证了上面的结果。最后提出了联合吸附、还原和Fenton氧化去除2,4-DCP的机制。     

简青霉-生物炭联合吸附处理染料废水

利用简青霉菌丝球固定生物炭制得一种新型生物吸附剂,吸附处理亚甲基蓝(MB)和甲基橙(MO)两种染料,考察了接触时间、菌丝球和生物炭用量、pH、染料初始浓度等影响因子对处理效果的影响。结果表明,菌丝球固定生物炭不仅保留了两者的吸附能力,而且易于固液分离。含炭菌丝球对亚甲基蓝的吸附效果优于甲基橙。甲基橙和亚甲基蓝的吸附平衡时间分别为48 h和60 h。亚甲基蓝在碱性条件下的吸附去除效果更好,甲基橙的吸附最适pH范围为5~6。Langmuir等温模型比Freundlich等温模型更适合模拟含炭菌丝球对亚甲基蓝和甲基橙的吸附行为。实验结果可以为微生物和生物炭的联合应用提供科学依据。     

SCR脱硝系统烟道内流场优化

为了改善选择性催化还原法(SCR)催化剂上游烟气的流场、温度场和浓度场分布,基于CFD仿真分析技术,建立了整个脱硝系统三维模型,并通过优化导流板及整流格栅,使得速度标准偏差、浓度标准偏差、温度偏差、速度偏转角以及压降等性能指标都满足设计要求,在满足脱硝效率和氨逃逸率前提下,大大降低了烟气对催化剂层的冲刷,保证催化剂的使用寿命。最后,为了合理布置吹灰器,对优化结构下粉尘颗粒在烟道内的运动情况进行了仿真分析研究,为设计提供了依据。     

响应面法优化黄粉虫幼虫处理餐厨垃圾饲养条件的研究

研究了黄粉虫幼虫处理餐厨垃圾的方法。首先在饲养温度、饲料含水量和饲养密度等条件下进行单因素实验,然后,以利用率为指标,运用响应面法优化了黄粉虫幼虫处理餐厨垃圾的饲养条件,结果表明,最佳饲养条件为饲养温度26.7℃、饲料含水量14.5%、饲养密度4.1头/cm2。在此饲养条件下,黄粉虫对餐厨垃圾利用率理论值为38.72%,实际餐厨垃圾利用率为38.88%,相对误差为0.41%,说明利用黄粉虫幼虫处理餐厨垃圾具有较好的效果。     

初级基质对降解菌Pseudomonas putida共代谢苯扎贝特的影响

通过对3,5-二硝基水杨酸(DNS)法测定还原糖含量各影响因素的筛选,优化确定了显色时间8 min,稳定时间10 min,最佳波长490 nm下进行吸光度测定的检测方法;分析分别以葡萄糖和麦芽糖作为外加碳源时,降解菌Pseudomonas putida B-31的生长情况和共代谢降解典型药物苯扎贝特(BZF)的过程。结果表明,降解菌只有在外加碳源的条件下才可正常生长,而且其在葡萄糖环境中生长得更好;拟合得到的葡萄糖、麦芽糖和BZF代谢动力学结果显示,葡萄糖对BZF去除的促进作用更为明显,同时从葡萄糖培养基中降解菌所提取的酶比活力要高于麦芽糖培养基,分析原因可能是葡萄糖所诱导的降解菌关键酶活力更强,而且还可能会产生不同的蛋白质点位。     

Positive matrix factorization as source apportionment of soil lead and cadmium around a battery plant (Changxing County,China)

Chemical compositions of soil samples are multivariate in nature and provide datasets suitable for the application of multivariate factor analytical techniques. One of the analytical techniques, the positive matrix factorization (PMF), uses a weighted least square by fitting the data matrix to determine the weights of the sources based on the error estimates of each data point. In this research, PMF was employed to apportion the sources of heavy metals in 104 soil samples taken within a 1-km radius of a lead battery plant contaminated site in Changxing County, Zhejiang Province, China. The site is heavily contaminated with high concentrations of lead (Pb) and cadmium (Cd). PMF successfully partitioned the variances into sources related to soil background, agronomic practices, and the lead battery plants combined with a geostatistical approach. It was estimated that the lead battery plants and the agronomic practices contributed 55.37 and 29.28 %, respectively, for soil Pb of the total source. Soil Cd mainly came from the lead battery plants (65.92 %), followed by the agronomic practices (21.65 %), and soil parent materials (12.43 %). This research indicates that PMF combined with geostatistics is a useful tool for source identification and apportionment.     

双氰胺-甲醛聚合物-聚合氯化铝复合絮凝剂的合成及应用

以双氰胺、甲醛、氯化铝为主要原料,加入添加剂合成了双氰胺-甲醛聚合物（DF）-聚合氯化铝（PAC）复合絮凝剂。采用模拟印染废水考察了各种因素对DF—PAC复合絮凝剂混凝脱色性能的影响。实验结果表明,在双氰胺、甲醛、氯化铝、添加剂加入量分别为29．1,57．8,4．8,12．5g,反应温度（70±1）℃、反应时间2．5h的条件下制得的DF—PAC复合絮凝剂的絮凝脱色性能良好,COD去除率不小于90％,色度去除率不小于99％。与PAC和DF絮凝剂相比,DF—PAC复合絮凝剂对实际印染废水的絮凝脱色效果更好。