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51.
Min-Yuan Cheng Yi-Hsu Ju Yu-Wei Wu Sylviana Sutanto 《International Journal of Green Energy》2016,13(15):1599-1607
Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%. 相似文献
52.
The main focus of this study was to evaluate long term effects of cadmium on forearm bone mineral density after stopping ingestion of cadmium-polluted rice for 10 years in a Chinese population. A total of 532 persons (338 women and 194 men), living in control, moderately and heavily polluted areas, were included in this study. The residents living in the polluted area ceased ingesting cadmium-polluted rice in 1996. All participants were require to answer a questionnaire and the bone mineral density (BMD) was measured by dual energy X-ray absorptiometry (DXA) at the proximal radius and ulna. Samples of urine and blood were collected for determination of cadmium in urine (UCd) and blood (BCd).The BMD of subjects living in the heavily polluted area was significantly lower than that of those living in control area in both men and women (p < 0.01). For the people living in the moderately polluted area, only the women's BMD was greatly lower compared to that in the control area (p < 0.05). The BMD declined with the increasing BCd and UCd in both sexes, especially in the highest level (BCd > 5 µg/L, UCd > 10 µg/g crea) groups (p < 0.01). It was found that there were significant differences in the prevalence of osteoporosis among the different areas (χ2 = 13.046, p = 0.0003) and different UCd groups (χ2 = 4.511, p = 0.0337) in women, but not in men (χ2 = 0.962, p = 0.3268; χ2 = 1.906, p = 0.1675). But a significant difference exists in the prevalence of osteoporosis among different BCd groups in both genders (χ2 = 9.304, p = 0.00229, in women; χ2 = 4603, p = 0.0319, in men). This study suggested that cadmium could play a long-term role on bone and more attention should be paid to cadmium effects on bone metabolism after reduction of exposure. 相似文献
53.
54.
Irene Cheng Julia Lu Xinjie Song 《Atmospheric environment (Oxford, England : 1994)》2009,43(39):6145-6158
This study identified sources of mercury (Hg) in downtown Toronto, Canada by analyzing gaseous elemental mercury (GEM), mercury associated with particles with sizes less than 2.5 microns (PHg < 2.5), and gaseous oxidized inorganic mercury (GOIM), commonly referred to as reactive gaseous mercury (RGM), and air pollutants (CO, NOx, O3, PM2.5, SO2) concentrations between Dec 2003 and Nov 2004. The data were analyzed using Positive Matrix Factorization (PMF) model, Principal Components Analysis (PCA), ratio analysis, back trajectories, and correlation analyses. The analyses suggest industrial sources (chemical production, metal production, sewage treatment), rather than coal combustion, were the major contributors to measured Hg levels. Overlap in source profiles for the Hg sources listed in the Canadian National Pollutant Release Inventory (NPRI) and lack of source profiles for urban sources were the major limitations to positively identifying sources from the PMF and PCA factors. Correlation analyses revealed direct emissions were the sources of GOIM in spring, summer, and fall, and the occurrence of GEM oxidation by ozone in the summer. Elevated Hg events are attributed to emissions from urban sources near the sampling site, regional point sources, and photochemical processes involving ozone. 相似文献
55.
生物反应器填埋的沉降加速效应 总被引:1,自引:0,他引:1
通过实验室填埋柱模拟实验,研究了生物反应器填埋操作方式对填埋层沉降的影响。结果表明:与传统卫生填埋方式相比,回灌经厌氧生物处理后渗滤液的生物反应器填埋方式能够加速填埋层的沉降,140 d内沉降提高比例达10%以上。我国填埋垃圾高含水率、高易腐有机物含量的特性,使得其填埋层的次沉降系数高于文献值。填埋垃圾有机物降解量及其引起的垃圾水分排出量与填埋层沉降有显著相关性,表明有机物降解是引起填埋层沉降的重要因素,也是造成生物反应器填埋与传统卫生填埋方式初期沉降差异的主要原因。 相似文献
56.
以天然矿物质沸石、细砂及煤渣取代传统滤料构建复合基质生态床,表面种植景观植物,采用下向流-上向流运行方式修复北方景观水体。分别进行静态实验及不同循环速率下的动态实验,考察对水体污染物去除过程。结果表明,2种运行方式下对水体NH+4-N去除率都在85%以上,其中以1 h为循环周期的运行方式去除率达97%,较静态提高12.8%;TN去除率最高为84%;TP去除不稳定,过程缓慢。煤渣层对NH+4-N的去除效果差,硝化作用不彻底与反硝化作用的加强使下层出水NH+4-N 、NO-2-N及NO-3-N浓度均高于上层。提高循环速率有利于对氮的去除。 相似文献
57.
用2%海藻酸钠与1%明胶混合作为包埋剂固定啤酒废酵母,研究固定化啤酒废酵母对Cr(Ⅳ)的吸附特性.结果表明,固定化啤酒废酵母吸附Cr(Ⅵ)受吸附时间、起始pH、固定化菌体浓度、cr(Ⅵ)起始浓度及共存离子等因素的影响.确定固定化啤酒废酵母对Cr(Ⅵ)最佳吸附条件为:pH 2,Cr(Ⅵ)起始浓度100 mg/L,固定化菌体浓度2 g/L,吸附90 min.此条件下Cr(Ⅵ)的吸附率可达96.8%.Pd2+等并存离子可抑制固定化啤酒废酵母对Cr(Ⅵ)的吸附.用1 mol/L盐酸洗脱固定化啤酒废酵母所吸附的Cr(Ⅵ)3 h,解吸率为93.6%. 相似文献
58.
氮掺杂氧化钛的简易制备及可见光催化活性的研究 总被引:1,自引:1,他引:0
为开发对可见光响应的催化剂,以尿素为氮掺杂剂,采用简易溶胶-凝胶法制备氮掺杂氧化钛,并以2,4-DCP的降解检验其光催化活性。XRD、BET、XPS和UV-Vis漫反射光谱分析表明,随着氮/钛原子比(N/Ti)的增大,各催化剂晶粒尺寸减小,比表面积增大,锐钛矿相向金红石相的转变得到抑制,除0#样品出现金红石相外,其他催化剂均只出现锐钛矿相;掺入催化剂的N位于晶格O位点和晶格间隙,替代N和间隙N掺杂使催化剂的光吸收发生明显的红移。荧光光谱分析表明,当N/Ti在0~6范围内增加时,反应体系中·OH自由基的产生速率增加,当N/Ti增大至8时,速率则下降。相似的规律也表现在氮掺杂量对光催化活性的影响。适量氮掺杂能增强氧化钛的可见光催化活性,该改性催化剂可用于有机污染物的太阳光激催化降解。 相似文献
59.
壳聚糖复合絮凝剂处理造纸废水的实验研究 总被引:3,自引:0,他引:3
研究并考察了壳聚糖复合絮凝剂对造纸污水中COD和SS的絮凝效果,结果表明,当复合絮凝剂的配方和处理条件为:聚合硫酸铁(PFS)60 mg/L聚丙烯酰胺(PAM)2 mg/L壳聚糖(CTS)0.4 mg/L,pH为7.5时,其絮凝效果最佳,此时它对水中COD与SS的去除率分别达到57.4%和97.6%, 与传统絮凝剂PAC/PAM相比,COD与SS的去除率分别提高了10.1%和5.2%,药剂成本下降了21.1%,具有明显的经济效益与环境效益。 相似文献
60.