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)。     

3种酚酸对中肋骨条藻生长的抑制作用

采用外源添加方式,通过监测藻细胞数量变化,分析了香草酸、对羟基苯甲酸和焦性没食子酸对中肋骨条藻生长的抑制作用。结果表明,在32~256mg/L浓度范围内,随着浓度的增大,3种酚酸对中肋骨条藻的抑制作用明显增强。当浓度为192mg/L时,3种酚酸对中肋骨条藻的生长抑制率超过50%。香草酸、对羟基苯甲酸和焦性没食子酸对中肋骨条藻的半抑制浓度分别为153mg/L、145mg/L和108.0mg/L。进一步,研究发现3种酚酸的半抑制浓度作用下,藻细胞内叶绿素、蛋白质和多糖含量明显低于对照组,胞外蛋白质和胞外多糖含量没有明显差异,但二者比值与对照组相比,有明显的增大趋势。3种酚酸显著降低了藻细胞SOD和POD比活力,尤其是显著降低了POD比活力,使其比活力降低为对照组的18%~39%。香草酸、对羟基苯甲酸和焦性没食子酸均致使藻细胞MDA含量明显升高,其数值增大为对照组的1.6、2.2和2.4倍。上述研究表明,3种酚酸通过影响某些主要生化成分的合成及其活性的影响,从而实现对中肋骨条藻生长的抑制作用。     

应用人工湿地技术处理屠宰废水:设计与运行探讨

污水分散式处理有独特的优点,人工湿地是其中主要的方法,特别适合在农村地区因地制宜地处理生活污水,具有运行费用低、处理效果好的特点,在新农村环境建设中发挥了很大作用。但人工湿地用于污染程度高的行业废水处理国内比较少见。该文依据一项中德环保合作项目——人工湿地技术处理蕲春某屠宰厂废水的示范工程,对人工湿地建造有关的设计及运行管理问题进行总结与探讨。     

FeBiO_3的制备及光催化氧化性能研究

以多胺羧酸(H5dtpa)为配体获得同时含铋和铁双金属配合物的配位分子前驱体,通过低温热分解前驱体制得Fe-Bi-O三元复合纳米氧化物粉末。采用XRD、SEM、Uv-Vis DRS、PL以及VSM等方法对所得复合氧化物进行结构和性质表征。结果表明所制备的复合物粒径在100 nm左右,主相为Fe Bi O3,在室温时表现出弱铁磁性,其弱磁性可能来自Fe Bi O3的尺寸限域效应。该复合物在200~600nm范围对光具有较强的吸收,其直接带隙λeg=2.02 e V。另外,分别以甲基橙和苯酚为降解模型,初步研究了其光催化氧化性能,于20 mg/L的弱酸性甲基橙溶液和苯酚溶液中分别添加0.25 g/L制备的Fe Bi O3粉末,甲基橙溶液光照5 h后脱色率为90%,而苯酚溶液光照4 h脱色率达100%。     

上海市郊不同耕地类型土壤微生物活性研究

该文利用土壤酶学法和土壤呼吸监测方法,分析了上海市郊不同耕地类型土壤的微生物活性,并对其相关影响因子进行了探讨。结果表明,除水稻田外,其他3种旱地作物的土壤FDA(荧光素双乙酸酯)水解酶活性和土壤呼吸速率均呈由高到低的趋势,即西瓜地设施菜地花菜地;土壤FDA水解酶活性与土壤有机质含量呈极显著正相关(P0.01),与全盐量呈显著负相关(P0.05);土壤呼吸速率与温度呈极显著正相关(P0.01),与含水率呈显著正相关(P0.05);3种旱地作物土壤FDA水解酶活性与土壤呼吸速率显著正相关(P0.05),两者均可反映土壤微生物活性,但土壤呼吸速率不适合用于监测水稻土壤的微生物活性变化,表明FDA水解酶活性在土壤微生物活性监测方面的适用性更为广泛。     

肇庆市市区与风景区空气质量对比分析

分析了肇庆市2013年七星岩风景区和市区的空气质量。监测结果表明,七星岩与市区的各类大气污染物呈现类似的月际变化规律,普遍呈夏季污染较轻但秋冬季污染较严重的态势。七星岩的臭氧浓度显著高于市区,PM10与PM2.5浓度略高于市区,与市区相比,大多数月份七星岩具有较低的SO2、NOx与CO浓度,表明七星岩的空气一次污染较轻,但二次污染严重。七星岩风景区空气质量差于市区,大量天然源VOC叠加少量人为排放的气态污染物生成较多二次污染物是导致自然风景区空气质量差于市区的重要原因。     

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。