汽车制造厂废水处理工程实例分析

采用二级混凝-气浮-水解酸化-SBR-过滤工艺，对某汽车制造厂的混合废水（包括脱脂废水、电泳废水、磷化废水和生活污水等）进行处理。经过对处理工艺进出水主要水质指标连续1个月的监测，发现COD去除率可达92．5％，SS去除率可达95．2％，NH3-N去除率可达58％，TP去除率可达96．7％，出水水质符合国家《污水综合排放标准》（GB8978—1996）一级排放标准，吨水处理成本为1．6元／t，系统运行稳定，具有明显的经济、环保和社会效益。t     

垃圾渗滤液COD降解菌株的筛选及其降解特性初探

采用不断增大垃圾渗滤液浓度的方法，筛选出3株能有效降解渗滤液的微生物DL01、DL02、DL03。以COD的去除率作为评价指标，研究常压。不同时间、温度以厦pH下优势菌株对渗滤液COD的降解特性。初步结果表明，优势菌株的接种量以7．5％（体积分数）最佳；各优势菌株对温度的适应范围较广，在20℃-40℃内具有较好的降解效果，COD的去除率均高于15．7％；3株优势茼株最适pH均为7，不同菌株耐受pH的范围不同，其中DL01对pH的适应范围最广，为6—9；在35℃，pH为7时，DL01对渗滤液COD的去除能力最强为35．5％，DL02和DL03分别为25．0％和21．5％；在此相同条件下，混合菌株比单一菌株的降解效果好，为39．3％；加入碳源有利于渗滤液COD的降解。无机氮源的加入使COD的去除率降低。     

IABR-IBAF工艺处理猪场稳定塘废水的实验研究

难降解有机物含量高且碳氮比失调是造成养猪场稳定塘废水难于处理的主要原因。本文采用基于固定化微生物技术的厌氧折流板（IABR）与曝气生物滤池（IBAF）组合工艺处理稳定塘废水,对比了IABR-IABF组合工艺与单一IBAF工艺的处理效果,研究了碱度和碳源对硝化反硝化过程的影响。组合工艺平均进水COD1532．6mg／L,平均出水为332．7mg／L,去除率为78％,NH3-N平均进水538．6mg／L,平均出水为12．3mg／L,去除率97．7％。以新鲜废水做反硝化阶段的碳源时TN去除率93％,可有效解决脱氮过程中的碳源成本问题。     

酒精废水消化液预处理试验研究

高浓度酒精糟液经厌氧生物处理后排出的消化液COD浓度为4500—6000mg/L，SS浓度高这1500—2．600mg,／L，且由于微小沼气泡附着在厌氧污泥上，沉降性能很差，难以与消化液相分离，对后续处理十分不剁。本研兜采用预曝气．化学混凝沉淀组合工艺，对该消化液进行去除高浓度SS的顸处理试验，研究探讨了曝气时间、混凝剂种类和投加量对SS和COD去除效果的影响。试验结果表明，预曝气．化学混凝沉淀组合工艺对消化液SS的去除效果十分显著。当预曝气时间为6．0h，FeCl3投加量为100mg/L时，消化液的SS去除率75．4％，COD去除率24．3％，可为后续的好氧生物处理提供较为有利的水质和负荷条件。     

UASB—接触氧化法处理沤麻废水的研究

本试验采用ＵＡＳＢ—接触氧化工艺对沤麻废水的处理进行了研究，系统启动两个月后达到稳定的处理效果，厌氧段进水ＣＯＤ浓度为７００ｍｇ／１，有机负荷为９．２５ｋｇＣＯＤ／ｍ３·ｄ，停留时间为２４小时，ＣＯＤ去除率可达到８９．３％，好氧段接触氧化池的有机负荷为２．ＩｋｇＣＯＤ／ｍ３·ｄ，处理时间为１０小时，整个系统总的ＣＯＤ去除率可达到９７％，该工艺是处理高浓度沤麻废水行之有效的方法。     

厌氧氨氧化工艺处理猪场废水沼液的试验研究

本文以实际猪场沼气废水为研究对象,以ASBR为反应器,接种厌氧消化污泥培养厌氧氨氧化细菌,厌氧氨氧化阶段成功启动后,研究了厌氧氨氧化脱氮最佳运行工艺。试验研究表明,厌氧氨氧化反应适宜的温度在35（±1）℃之间,适宜的pH在7．5—8．0之间,HRT选用24h。当达到最佳运行参数时,NH4＋-N的去除率达到87．6％,NO2- -N的去除率达到99．96％。     

Cu／Fe内电解预处理焦化废水的研究

采用混凝沉淀一厌氧水解酸化一催化铁内电解（即Cu／Fe体系）一好氧组合工艺处理焦化废水,研究了催化铁内电解法用于焦化废水的预处理时,对焦化废水的COD、色度、总磷的去除率。结果表明,催化铁用于焦化废水的预处理,可以提高废水的可生化性,使好氧处理的COD去除率提高,达到80％-90％;催化铁对焦化废水有较好的脱色效果,色度去除率为77．7％-89．3％;催化铁能够去除部分总磷,但是由于微生物生长需要,需在厌氧段补充磷。试验证明,催化铁内电解法是一种有效的焦化废水预处理工艺。     

高级催化氧化法处理高含盐废水

针对风城油田生产废水高盐、高温、高矿化度、可生化性差等水质特性,采用“混凝沉降、高级催化氧化”工艺进行处理,处理后出水达到GB8978—1996《污水综合排放标准》二级标准。混凝沉降阶段COD去除率为36％～49％,挥发酚去除率为11％～21％,石油类去除率为42％～69％;催化氧化阶段COD去除率为20％～40％,挥发酚去除率为69％～73％,石油类去除率为16％～20％。     

磁种-磁滤技术处理污染河水的试验研究

采用磁种-磁滤技术处理广州市两条河涌的污染水,考察了磁种投加量、混凝剂用量、磁场强度和磁滤速度对出水浊度的影响,并确定了最佳试验条件。结果表明,该工艺对TP、SS和浊度的去除效果较好,去除率分别为96．2％、92．4％和93．9％,对CODCr有一定的去除效果,去除率为68．2％,但对NH4^ -N的去除效果较差,去除率仅为25％。     

高原地区溶解氧浓度对A2／O工艺运行效果研究

针对我国低温地区的城市污水,开展了A2／O工工艺中试研究,考察溶解氧浓度对A2／O工工艺运行效果的影响。结果表明：采用A2／O工工艺并延长好氧池HRT,在系统水温为10℃-14℃的情况下可获得良好的污水处理效果。A2／O工工艺中好氧池末端的溶解氧浓度宜控制在2．8mg／L左右,此时的系统平均出水COD、氨氮、总氮和总磷浓度分别为40mg／L、3．8mg／L、13．0mg／L和0．7mg／L,平均COD、氨氮、总氮和总磷去除率分别为92．4％、83．8％、72．7％和87．1％。     

利用连续-间歇曝气工艺处理生活污水的试验研究

在对污水进行回用处理时,须开发一种处理效果好、投资省、运行费用低、易管理的污水处理工艺,本试验研究采用改进的连续-间歇曝气工艺处理生活污水。经过4个多月的运行试验,结果表明:该工艺流程简单,无须预沉池、调节池和二沉池;对生活污水中COD的去除效果较好,在除磷脱氮方面都取得了理想的处理效果,COD去除率可达90.6%,氨氮去除率可达70.8%,总磷去除率可达96.1%。     

番茄酱生产废水处理DAT-IAT工艺的应用与研究

番茄酱生产周期较短，废水排放集中于两个月且水量较大，废水中含固体杂质多，增加了废水处理难度。对新疆屯河昌通分公司番茄酱生产废水采用DAT-IAT工艺处理，并配套设置适应工艺要求及新疆气候特点的配套设备，水质水量适应性好，工艺组成具有显著的优势。项目通过验收后运行两年以来，运行效果稳定，处理水质稳定达标，可供同类企业借鉴和推广。     

Impact of various blends of Mimusops elengi methyl esters on performance and emission characteristics of a diesel engine

The basic objective of the research work was to study the effect of various blends of Mimusops elangi methyl ester (MEME) on engine performance, combustion, and emission characteristics of a single-cylinder direct-injection compression ignition engine, running at constant speed. The raw oil was extracted from Mimusops elangi seeds through mechanical crusher. The neat MEME was obtained through transesterification process and mixed with diesel in versatile proportions of 10% of MEME (10% MEME–90% Diesel), 20% of MEME(20% MEME–80% Diesel), 30% of MEME(30% MEME–70% Diesel), 40% of MEME(40% MEME–60% Diesel), and 100% MEME on a volume basis. Their properties were validated based on ASTM standards. Experimental investigation revealed that the 20% blend resulted in 4.18%, 5.12% more prominent performance characteristics of brake thermal efficiency, brake specific energy consumption, and superior emission diminution of 5.26% of HC, 16.6% of CO, 6.2% of smoke when compared with base diesel fuel, despite marginal penalty of 5.26% of carbon dioxide and 4.8% of oxides of nitrogen emission at full load condition. Characteristics of combustion parameters like pressure inside the cylinder and rate of the heat released were superior for 20% blend of MEME at the peak load condition.     

Gaseous contaminant emissions as affected by burning scrap tires in cement manufacturing

We studied the environmental impact (gaseous emissions) of using scrap tires as a fuel substitute at a cement plant that produces one million tons of cement per year. Using a combination of tires and coal as opposed to only coal caused variations in the pollutant emission rate. The study recorded a 37% increase in the rate of emission for CO, a 24% increase for SO2, an 11% decrease for NOx, and a 48% increase for HCl when tires were included. The rate of emission for metals increased 61% for Fe, 33% for Al, 487% for Zn, 127% for Pb, 339% for Cr, 100% for Mn, and 74% for Cu, and decreased 22% for Hg. On the other hand, the emission rate of organic compounds dropped by 14% for polycyclic aromatic hydrocarbons, 8% in naphthalene, 37% in chlorobenzene, and 45% in dioxins and furans. We used a Gaussian model of atmospheric dispersion to calculate the average pollutant concentration (1-h, 24-h, and annual concentrations) in the ambient air at ground level with the help of the ISC-ST2 software program developed by the USEPA. When tires were used, we observed (i) a 12 to 24% increase in particulate matter, this range considering the concentration variation depending on the average used (1-h, 24-h, and annual basis), 31 to 52% in CO, 22 to 34% in SO2, 39 to 52% in HCl, 12 to 27% in Fe, -3 to 8% in Al, 30 to 37% in Zn, and 270 to 885% in Pb; (ii) a decrease of 8 to 13% in NOx, 9 to 13% in polycyclic aromatic hydrocarbons, 6 to 7% in naphthalene, 32 to 39% in chlorobenzene, and 32 to 45% in dioxins and furans. The results obtained showed that the maximum ground-level concentrations were well within the environmental standards (for operation with only coal as well as for operation with a combination of coal and tires).     

Assessing the Effectiveness of Winter Cover Crops for Controlling Agricultural Nutrient Losses

A nutrient loss reduction strategy is necessary to guide the efforts of improving water quality downstream of an agricultural watershed. In this study, the effectiveness of two winter cover crops, namely cereal rye and annual ryegrass, is explored as a loss reduction strategy in a watershed that ultimately drains into a water supply reservoir. Using a coupled optimization-watershed model, optimal placements of the cover crops were identified that would result in the tradeoffs between nitrate-N losses reduction and adoption levels. Analysis of the 10%, 25%, 50%, and 75% adoption levels extracted from the optimal tradeoffs showed that the cover crop placements would provide annual nitrate-N loss reductions of 3.0%–3.7%, 7.8%–8.8%, 15%–17.5%, and 20.9%–24.3%, respectively. In addition, for the same adoption levels (i.e., 10%–75%), sediment (1.8%–17.7%), and total phosphorus losses (0.8%–8.6%) could be achieved. Results also indicate that implementing each cover crop on all croplands of the watershed could cause annual water yield reduction of at least 4.8%, with greater than 28% in the months of October and November. This could potentially be detrimental to the storage volume of the downstream reservoir, especially in drought years, if cover crops are adopted in most of the reservoir's drainage area. Evaluating water yield impacts, particularly in periods of low flows, is thus critical if cover crops are to be considered as best management practices in water supply watersheds.     

Comparison of phosphorus forms in wet and dried animal manures by solution phosphorus-31 nuclear magnetic resonance spectroscopy and enzymatic hydrolysis

Both enzymatic hydrolysis and solution (31)P nuclear magnetic resonance (NMR) spectroscopy have been used to characterize P compounds in animal manures. In this study, we comparatively investigated P forms in 0.25 M NaOH/0.05 M EDTA extracts of dairy and poultry manures by the two methods. For the dairy manure, enzymatic hydrolysis revealed that the majority of extracted P was inorganic P (56%), with 10% phytate-like P, 9% simple monoester P, 6% polynucleotide-like P, and 18% non-hydrolyzable P. Similar results were obtained by NMR spectroscopy, which showed that inorganic P was the major P fraction (64-73%), followed by 6% phytic acid, 14 to 22% other monoesters, and 7% phosphodiesters. In the poultry manure, enzymatic hydrolysis showed that inorganic P was the largest fraction (71%), followed by 15% phytate-like P and 1% other monoesters, and 3% polynucleotide-like P. NMR spectroscopy revealed that orthophosphate was 51 to 63% of extracted P, phytic acid 24 to 33%, other phosphomonoesters 6 to 12%, and phospholipids and DNA 2% each. Drying process increased orthophosphate (8.4% of total P) in dairy manure, but decreased orthophosphate (13.3% of total P) in poultry manure, suggesting that drying treatment caused the hydrolysis of some organic P to orthophosphate in dairy manure, but less recovery of orthophosphate in poultry manure. Comparison of these data indicates that the distribution patterns of major P forms in animal manure determined by the two methods were similar. Researchers can utilize the method that best fits their specific research goals or use both methods to obtain a full spectrum of manure P characterization.     

Bacterial pretreatment enhances removal of heavy metals during treatment of post-methanated distillery effluent by Typha angustata L

A combination of bacterial pretreatment followed by free water surface flow through wetland plants was investigated to determine its effect on removal of heavy metals in bioremediation of post-methanated distillery effluent (PMDE). The bacterial pretreatment was intended to transform the metal complexes and organic pollutants into simpler, biologically assimilable molecules. The 10% and 30% v/v concentrations of PMDE favored luxuriant bacterial growth; the 50% concentration supported less growth, whereas the undiluted effluent (i.e., 100%) supported very little bacterial growth. The use of bacterial pretreatment combined with the constructed wetland system greatly increase the overall bioaccumulation of all heavy metals by the plants compared with the control treatment. However, the integration of bacterial pretreatment of PMDE with the Typha angustata resulted in enhanced removal of Cd (34.02–61.50% increase), Cr (35.90–57.60% increase), Cu (32.88–54.22% increase), Fe (32.50–51.26% increase), Mn (35.99–82.85% increase), Ni (35.85–59.24% increase), Pb (33.45–59.51% increase) and Zn (31.95–53.70% increase) compared with a control that lacked this pretreatment. In addition to the bioaccumulation of these heavy metals, several physico-chemical parameters also improved at the 30% effluent concentration: color, BOD, COD, phenol and total nitrogen decreased by 98.33%, 98.89%, 98.50%, 93.75% and 82.39%, respectively, after 7 days of free water surface flow treatment. The results suggest that bacterial pretreatment of PMDE, integrated with phytoremediation will improve the treatment process of PMDE and promote safer disposal of this waste.     

Support vector machine based prediction of photovoltaic module and power station parameters

ABSTRACT

The uncertainty in the output power of the photovoltaic (PV) power generation station due to variation in meteorological parameters is of serious concern. An accurate output power prediction of a PV system helps in better design and planning. The present study is carried out for the prediction of output power of PV generating station by using Support Vector Machines. Two cases are considered in the present study for prediction. Case-I deals with the prediction of PV module parameters such as V_oc, I_sh, R_s, R_sh, I_max, V_max, P_max, and case-II deals with the prediction of power generation parameters such as P_DC, P_AC, and system efficiency. Historical data of PV power station with an installed capacity of 10 MW and weather information are used as input to develop four different seasons-based SVM models for all parameters. The performance results of the models are presented in terms of Mean Relative Error (MRE) and Root Mean Square Error (RMSE). Additionally, the performance results obtained with polynomial and Radial Based Function kernel are also compared to show that which kernel has better prediction accuracy, and practicability. The result shows that the minimum average RMSE and MRE for case-I with Radial Based Function kernel are 0.034%, 0.055%, 0.002%, 1.726%, 0.044%, 0.047%, 2.342%, and 0.005%, 0.014%, 0.079%, 0.885%, 0.005%, 0.007%, 0.013%, and for case-II with poly kernel are 0.014%, 0.016%, 0.149% and 0.011%, 0.0175, 1.03%, respectively. The present study will be helpful to provide technical guidance to the prediction of the PV power System.     

Performance evaluation of Nahar oil–diesel blends in a single cylinder direct injection diesel engine

This study attempts to use plentiful available high oil content (67% of Nahar seed kernel) non-edible feedstock as a source for powering diesel engine. Various performance and emission characteristics of prepared Nahar oil–diesel blends (5%, 10%, 20%, 30%, and 40%) are analyzed in a single cylinder direct injection diesel engine at different load spectrum, in order to judge the optimum blend, which can be efficiently used in a diesel engine. 10% blending of Nahar oil with diesel fuel has shown a reduction in hydrocarbon and carbon monoxide emission by 8.64% and 8.34%, respectively. With the increase in blend concentration, the nitrogen oxide emission decreased considerably and smoke emission increased slightly. Further pressure crank angle and heat release rate analysis of 10% blending of Nahar oil with diesel confirms its smooth combustion inside the engine combustion chamber.     

Performance of an overland flow system for advanced treatment of wastewater plant effluent

Overland flow (OF) systems were evaluated and compared for advanced treatment of municipal and industrial effluents, including nutrients and nondegradable chemical oxygen demand (COD) removal. Three pilot plants were constructed at the Shahin Shahr Wastewater Treatment Plant (WWTP), Isfahan, Iran. Each pilot was assigned a specific wastewater and all were simultaneously operated for 8 months. Treatment of primary effluent, activated sludge secondary effluent, and lagoon effluent of textile wastewater was investigated at application rates (ARs) of 0.15, 0.25, and 0.35m(3)m(-1)h(-1). During 5 months of stable operation after a 3-month acclimation period, mean removals of total 5-day biochemical oxygen demand (TBOD(5)), total COD (TCOD), total suspended solids (TSS), total nitrogen (TN), total phosphorus (TP) and turbidity were 74.5%, 54.8%, 66.2%, 39.4%, 35.8%, and 67.7% for primary effluent; 52.9%, 52.9%, 66.5%, 44.4%, 39.8%, and 50.1% for activated sludge effluent; 65.7%, 58.7%, 70.3%, 41.7%, 41.3%, and 54.9% for textile wastewater lagoon effluent, respectively. The model of Smith and Schroeder, 1985. Field studies of the overland flow process for the treatment of raw and primary treated municipal wastewater. Journal of Water Pollution Control Federation 57, 785-794] was satisfactory for TBOD(5). For all treatment parameters a standard first-order removal model was inadequate to represent the data but a modified first-order model provided a satisfactory fit to the data. Based on the results of this study, it can be concluded that an OF system as advanced treatment had the ability to meet effluent discharge permit limits and was an economical replacement for stabilization ponds and mechanical treatment options.