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.     

Remarkable promotion effect of trace sulfation on OMS-2 nanorod catalysts for the catalytic combustion of ethanol

OMS-2 nanorod catalysts were synthesized by a hydrothermal redox reaction method using MnSO₄ (OMS-2-SO₄) and Mn(CH₃COO)₂ (OMS-2-AC) as precursors. SO₄^2 −-doped OMS-2-AC catalysts with different SO₄^2 − concentrations were prepared next by adding (NH₄)₂SO₄ solution into OMS-2-AC samples to investigate the effect of the anion SO₄^2 − on the OMS-2-AC catalyst. All catalysts were then tested for the catalytic oxidation of ethanol. The OMS-2-SO₄ catalyst synthesized demonstrated much better activity than OMS-2-AC. The SO₄^2 − doping greatly influenced the activity of the OMS-2-AC catalyst, with a dramatic promotion of activity for suitable concentration of SO₄^2 − (SO₄/catalyst = 0.5% W/W). The samples were characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), inductively coupled plasma optical emission spectroscopy (ICP-OES), NH₃-TPD and H₂-TPR techniques. The results showed that the presence of a suitable amount of SO₄^2 − species in the OMS-2-AC catalyst could decrease the Mn–O bond strength and also enhance the lattice oxygen and acid site concentrations, which then effectively promoted the catalytic activity of OMS-2-AC toward ethanol oxidation. Thus it was confirmed that the better catalytic performance of OMS-2-SO₄ compared to OMS-2-AC is due to the presence of some residual SO₄^2 − species in OMS-2-SO₄ samples.     

The relationship between light intensity and nutrient uptake kinetics in six freshwater diatoms

In order to find effective measures to control diatom blooms, a better understanding of the physiological characteristics of nutrient uptake in diatoms is needed. A study of P and Si-uptake kinetics for diatom species from two light regimes was conducted at low (LL), moderate (ML) and high light intensities (HL) (2, 25 and 80 μmol photons/(m²·sec)), respectively. The results showed that P uptake of diatoms was heavily influenced by historic light regimes. P affinity changed with growth and photosynthetic activity. The lowest half saturation constant for P uptake (K_m(P)) was under HL for high-light adapted diatoms while the lowest half-saturation constant for low-light adapted diatoms was observed under LL. The Si half-saturation constant (K_m(Si)) increased with increasing light intensities for pennate diatoms but decreased for centric diatoms. Diatom volumes were correlated with the maximum Si uptake rates (V_m(Si)) at HL and K_m(Si) at ML and HL for six diatom species. Our results imply that when we assess the development of diatom blooms we should consider light intensity and cell volume in addition to ambient Si or P concentration. The relationship between light intensity and P-uptake suggests that we can find suitable methods to control diatom blooms on the basis of reducing phytoplankton activity of P-uptake and photosynthesis simultaneously.     

膨润土负载纳米铁的改性及对水中As(Ⅴ)的吸附

用十六烷基三甲基溴化铵(CTMAB)对膨润土负载纳米零价铁(Bent-n ZVI)进行表面改性,得到表面改性膨润土负载纳米铁(Bent-n ZVI)/CTMAB。通过SEM、Zeta电位和中位径d(50)分析,与膨润土(Bent)、改性膨润土(CTMAB-Bent)、Bent-n ZVI进行了对比,结果表明:相比Bent-n ZVI,(Bent-n ZVI)/CTMAB中的纳米铁颗粒更为分散且呈链状分布,d(50)仅为5.21μm,并且Zeta电位为+0.65 m V,更易静电吸引和吸附阴离子As O43-。4种材料的除砷结果亦表明其中(Bent-n ZVI)/CTMAB去除率最高,达到了93.9%。光电子能谱(XPS)分析表明(Bent-n ZVI)/CTMAB的除砷产物中只有As(Ⅴ),并不存在其还原态As(Ⅲ),说明(Bent-n ZVI)/CTMAB是通过吸附作用去除As(Ⅴ)。     

裂隙对雾龙洞岩溶发育及地下径流的影响分析

尝试利用裂隙测量结果探究区域岩溶发育规律。采用统计窗口法对湖北鄂西地区雾龙洞岩溶流域的碳酸盐岩地层进行了大量的裂隙测量,分析了流域内裂隙发育的情况,研究了裂隙的几何参数——倾向、倾角、隙宽、线密度、面裂隙率等在不同层位、不同裂隙分组内的变化情况;结合构造、岩溶洼地发育方向、洞穴野外探测结果,综合分析了裂隙发育对本区岩溶发育的影响;运用渗透张量理论对岩溶流域裂隙的各向异性和非均质性进行了研究,并分析了雾龙洞岩溶流域地下水的主要渗流方向形成的原因,对查明雾龙洞岩溶流域岩溶发育规律以及地下水的运移、赋存规律具有一定的指导作用。     

东江流域表层土中全氟化合物的空间分布及来源解析

为探究东江流域土壤中全氟化合物(perfluorinated compounds,PFCs)分布特征和潜在来源,2013年8月采集东江流域19份表层土样品,利用高效液相色谱-串联质谱联用(HPLC-MS/MS)技术分析了16种PFCs的含量。结果表明,东江流域表层土总PFCs(∑PFCs)含量范围在2.15~5.49μg/kg dw。所采集的表层土样品中,东江东莞段土壤∑PFCs含量明显高于惠州段,全氟辛烷磺酸(0.65~1.28μg/kg dw)为最主要的污染物。与国内相关研究数据相比,东江流域土壤PFCs含量水平整体较高,这可能与流域产业结构和经济活动有关。主成分分析结果表明,电镀防雾剂、食品包装和全氟羧酸的生产过程、大气沉降、电化学氟化过程为东江流域土壤中PFCs的主要来源。与土壤有机质含量相关性研究表明,PFCs更容易分配到有机质含量高的土壤中,且随着PFCs分子碳链的增加,这种趋势更加显著。     

密封充氢环境条件下固态电化学氢气传感器效应试验研究

目的研究密闭充氢环境下固态电化学氢气传感器效应。方法设计能模拟低氧、低氢和压力变化的密闭充氢环境,并在此环境中进行一系列氢气传感器效应试验,分析、评定试验数据。结果得到了不同环境下氢气、氧气浓度随时间变化的规律,提出固态电化学氢气传感器的有效工作环境,并预测了其在不同贮存环境下的工作寿命。结论密闭充氢环境内压力和温度的变化对固态电化学氢气传感器影响较大,湿度影响较小,注气检定合格的氢气传感器,在密封容器内扩散式检定,不合格率高,检定数据误差大于±5%FS。     

基于CI指数的祁东县干旱特征分析

利用衡阳市祁东县气象站1960~2013年逐日平均气温、降水观测数据,计算综合气象干旱指数。以国家标准《气象干旱等级GB/T20481~2006》为依据划分不同干旱等级、计算干旱日数、干旱强度等,在此基础上统计干旱日的年、年代际统计并作了线性分析,并为应对干旱提出了自己的建议:祁东县干旱日每年均有出现,但不同强度干旱日发生频率不同,在全球变暖大背景下,干旱日等级越高,其增幅愈明显;祁东县的平均干旱过程数为2.5次/a,一年出现2次干旱过程几率最大,无旱过程的几率为9.3%;在统计年干旱强度时,选用持续时间最长的一次有较好代表性。近54a来,干旱强度年变化可分为三高两低,目前处于干旱强度较高期;祁东县大部分年份有季节性干旱,单季旱以秋旱为主,在双季干旱中,夏秋连旱居多,历史上夏秋冬连旱出现了三次;为了应对日趋严重的干旱,需增强人们的防旱抗灾意识、加大水利设置投入、推广节水农业和提高干旱监测预警能力。     

室内环境污染情况调查

通过对住宅的室内进行环境监测,发现在如今的住宅空气中所含有的甲醛、TVOC等有害物存有普遍超标的现象。为此建议:装修新房时需正确树立环保理念进行综合规划;注意装修材料选择,控制污染源;对于污染超标严重的住宅需采取必要的措施进行治理,确保室内环境达标。     

大气VOCs在线监测系统测量准确性分析

基于在线气相色谱-氢火焰离子检测/质谱(GC-FID/MS)方法,在线测量116种大气挥发性有机物的性能指标(线性关系、检出限、精密度、正确度、期间正确度和期间精密度).基于在线监测系统连续7d的实际运行情况,定量评估116种有机物在实际长期运行中测量的准确性和可靠性.结果 表明,116种组分中,109种组分的线性相关...